{ "count" : 72795, "data" : [ { "id" : "6a2c6c7c74d8ee00a0919231", "title" : "Associate Director, Analytics", "company" : "WPP Media", "industry" : "Media", "salary" : { "min" : 75000.0, "max" : 110000.0, "currency" : "GBP", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Manager-level Associate Director in the Media industry in London, UK, adjusted for company size and experience level." }, "location" : "London, England, United Kingdom", "locations" : [ "London", "England", "United Kingdom" ], "certifications" : [ "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified" ], "timestamp" : "2026-06-16T06:59:51.263", "fingerprint" : "9ceb36a41eca597ed9591217158dbeef989b6c45505e4905d31c26a4c87b04f1", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/wppmedia/jobs/5233840008", "externalId" : "5233840008", "industryFunction" : { }, "structuredLocations" : [ { "city" : "London", "state" : "England", "country" : "United Kingdom", "continent" : "eu", "source" : "llm", "workMode" : "hybrid", "geo" : "51.5074456,-0.1277653" } ], "locationText" : "London, England, United Kingdom", "employmentType" : "FULL_TIME", "experienceLevel" : "Director", "technicalSkills" : "SQL, Python, R, Scala, Spark, Dbt, Snowflake, BigQuery, Redshift, Databricks, Fivetran, Airflow, Dbt Cloud, Delta Lake, Scikit-learn, TensorFlow, PyTorch, XGBoost, LightGBM, Hugging Face, MLflow, AWS, S3, Glue, SageMaker, Athena, GCP, Vertex AI, Azure, Synapse, ML Studio", "professionalSkills" : [ "Data science", "Data engineering", "ML/AI", "Business intelligence", "Analytics engineering", "Quantitative analysis", "Modelling skills" ], "hardSkillsList" : [ "Statistical methods", "Regression", "Classification", "Clustering", "Time-series analysis", "A/B testing", "Causal inference" ], "hardSkills" : [ { "name" : "Statistical methods", "level" : "intermediate" }, { "name" : "Regression", "level" : "intermediate" }, { "name" : "Classification", "level" : "intermediate" }, { "name" : "Clustering", "level" : "intermediate" }, { "name" : "Time-series analysis", "level" : "intermediate" }, { "name" : "A/B testing", "level" : "intermediate" }, { "name" : "Causal inference", "level" : "intermediate" } ], "majorSkills" : "Data science, Data engineering, ML/AI, Business intelligence", "majorSkillsList" : [ "Data science", "Data engineering", "ML/AI", "Business intelligence" ], "toolProficiency" : [ "Tableau", "Power BI", "Looker", "Metabase", "Superset", "Qlik", "MicroStrategy" ], "qualificationsBasic" : "5+ years of experience, SQL proficiency", "qualificationsPreferred" : "PhD preferred, GCP Professional Data Engineer certification, AWS Data Analytics certification, Databricks Certified certification, Dbt Certified certification", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "About WPP Media WPP is the trusted growth partner for the world’s leading brands. With exceptional talent, trusted data and intelligence, and world-class partnerships – all united by our pioneering agentic marketing platform, WPP Open – we help clients navigate change, capture opportunity, and deliver transformational growth.  WPP Media is WPP's AI-driven media operating unit, bringing together media, data, and partnerships to deliver creative personalisation at scale. Connected through WPP Open and powered by Open Intelligence, clients see exactly where, how, and why their media investment is working. For more information, visit wppmedia.com. About WPP Media WPP is the creative transformation company. We use the power of creativity to build better futures for our people, planet, clients and communities. For more information, visit wpp.com. WPP Media is WPP’s global media collective. In a world where media is everywhere and in everything, we bring the best platform, people, and partners together to create limitless opportunities for growth. For more information, visit wppmedia.com ABOUT OPENMIND OpenMind by WPP is an integrated agency model drawing on talent from across WPP. It has been created to accelerate the European transformation for Nestlé’s media function. Core to the solution is the advanced best data and technology capabilities, fuelled by WPP’s investment in AI, to maximise the impact of Nestlé’s media investment. Role Summary and Impact The Associate Director is an experienced media analyst as part of ZEUR UK team, responsible for developing strong relationships with the UK Nestle team, providing excellent marketing effectiveness skills and have the knowledge/skills to push innovative thinking as well as best in class analysis. You will be an excellent communicator. With 47 countries, +450 team members, and regular new product launches, the account is looking for someone to support Marketing & Campaign analytics for the UK&I market Work with the Analytics Director and cross-functional teams to foster collaboration and champion marketing effectiveness across UK& I. Lead end-to-end analytical projects, with strategic recommendations that drive business impact. Lead the creation of media investment analysis and provide recommendations on a diverse array of channel budget optimization tools and methodologies to be applied across the Nestle portfolio. Leverage Marketing Mix Models and Media Best Practice to advise on optimal investment and scenarios. Advise on channel-mix optimization, and deliver data-driven recommendations to clients, linking business intelligence directly to performance. Calibrate Marketing Mix Model response curves into the agency media planning software. Translate complex analytics into clear, compelling narratives for diverse internal and external audiences. Utilise business results and client learning agendas to optimise campaign design. Design and advise on comprehensive measurement plans for campaigns of varying complexity, including hypotheses, variables, and success metrics. Support measurement setup and proactively identify measurement gaps and lead client communications. Extract, organise, and analyse data from diverse sources (e. g. Campaign performance, social listening, competitive analysis) to distil and distribute actionable insights. Support the client's learning agenda and align media sufficiency principles with local market guidelines. Engage with the broader effectiveness analytics community to share learnings and ensure delivery of agency best practices (e.g., PCAs, experimentation). Skills and Experience At WPP Media, we believe in the power of our culture and our people. It’s what elevates us to deliver exceptional experiences for both our clients and each other. In this role it will be critical to embrace WPP & WPP Media’s shared core values: Be Extraordinary by Leading Collectively to Inspire transformational Creativity. Create an Open environment by Balancing People and Client Experiences by Cultivating Trust. Lead Optimistically by Championing Growth and Development to Mobilize the Enterprise. Experience in marketing analytics. Ideal for a media-savvy analyst or an analytically focused planner. Detailed knowledge of media, marketing, and measurement across all channels. Excellent proficiency in Excel, PowerPoint, and common econometrics packages. Proven ability to convert complex analysis into real-world, actionable solutions. A creative problem-solving mentality, focused on providing robust and pragmatic solutions to client challenges. Very strong client-facing skills, with the ability to explain complex analysis clearly, simply, and compellingly. Ability to independently handle routine client requests and present findings internally. Ambitious, determined, and self-motivated, with a high sense of accountability and ownership. A strategic thinker and doer, curious with a strong thirst for continuous learning about technology, trends, and the industry. Ability to thrive in a fast-paced, deadline-driven environment, with a collaborative and partnership mindset. Life at WPP Media & Benefits Our passion for shaping the next era of media includes investing in our employees to help them do their best work, and we’re just as committed to employee growth as we are to responsible media investment. WPP Media employees can tap into the global WPP Media & WPP networks to pursue their passions, grow their networks, and learn at the cutting edge of marketing and advertising. We have a variety of employee resource groups and host frequent in-office events showcasing team wins, sharing thought leadership, and celebrating holidays and milestone events. Our benefits include competitive medical, group retirement plans, vision, and dental insurance, significant paid time off, preferential partner discounts, and employee mental health awareness days. WPP Media is an equal opportunity employer and considers applicants for all positions without discrimination or regard to particular characteristics. We are committed to fostering a culture of respect in which everyone feels they belong and has the same opportunities to progress in their careers. We believe the best work happens when we're together, fostering creativity, collaboration, and connection. That's why we’ve adopted a hybrid approach, with teams in the office around four days a week. If you require accommodations or flexibility, please discuss this with the hiring team during the interview process. Please note this is a UK based role and requires individuals to have the right to work in this location Please read our Privacy Notice (https://www.wppmedia.com/pages/privacy-policy) for more information on how we process the information you provide. #LI-Promoted Please read our Privacy Notice for more information on how we process the information you provide.", "summaryDescription" : "Associate Director, Analytics at WPP Media. 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domain owners", "level" : "intermediate" }, { "name" : "Data engineering", "level" : "intermediate" }, { "name" : "Data science", "level" : "intermediate" }, { "name" : "Unified data analytics", "level" : "intermediate" }, { "name" : "Data technology", "level" : "intermediate" }, { "name" : "Platform unification", "level" : "intermediate" }, { "name" : "Data processing", "level" : "intermediate" }, { "name" : "Data storage", "level" : "intermediate" }, { "name" : "Terabyte scale", "level" : "intermediate" }, { "name" : "Petabyte scale", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Mentoring" } ], "majorSkills" : "Data analytics leadership, Analytics platform, Data lifecycle management, Data strategy execution", "majorSkillsList" : [ "Data analytics leadership", "Analytics platform", "Data lifecycle management", "Data strategy execution" ], "coreResponsibilities" : "Drive alignment of analytics standards, Lead high-performing analytics teams, Develop analytics teams, Enable creation of unified data catalog, Design data domains, Manage data domains, Develop data infrastructure platforms, Maintain data infrastructure platforms, Use AI agents for dashboards, Deliver automated insights, Deliver predictive analytics, Deliver anomaly detection, Ensure data governance compliance, Establish data management frameworks, Uphold data quality, Uphold data integrity, Translate data into insights, Enable global KPI metrics dashboard, Champion data management best practices", "teamCollaboration" : "Cross-functional collaboration; Partner with business owners; Partner with data engineering; Partner with data science; Partner with business teams", "projectManagementSkills" : [ "Roadmap development" ], "domainKnowledge" : "Cloud data stacks; Data mesh; Data governance; Data residency; Privacy compliance; Security requirements", "domainList" : [ "cloud-data-stacks", "data-mesh", "data-governance", "data-residency", "privacy-compliance", "security-requirements" ], "domainSpecificKnowledge" : [ "Cloud data stacks", "Data mesh", "Data governance", "Data residency", "Privacy compliance", "Security requirements" ], "toolProficiency" : [ "Tableau", "ThoughtSpot", "Looker", "SQL", "Databricks", "BigQuery", "Redshift", "VertexAI", "AWS", "GCP", "Azure", "S3" ], "communicationSkills" : "Actionable insights; Clear insights", "documentationSkills" : "Governed data dictionary", "innovationCreativity" : "Innovating with emerging data", "problemSolvingSkills" : "Translate business challenges", "outcomesObjectives" : "Accelerate business growth; Deepen product understanding; Deepen membership understanding; Optimize business operations; Drive business decisions; Drive business outcomes; Improve performance; Improve efficiency; Improve revenue; Shape future growth", "qualificationsBasic" : "10+ years leadership, 5+ years managing managers, SQL proficiency, Analytics tools proficiency, AWS/GCP/Azure familiarity, Databricks/BigQuery/Redshift familiarity", "qualificationsPreferred" : "PhD preferred, GCP Professional Data Engineer, AWS Data Analytics, Databricks Certified, Dbt Certified", "workSiteFlexibility" : "Onsite", "rawDescription" : "Our mission at Oura is to empower every person to own their inner potential. Our award-winning products help our global community gain a deeper knowledge of their readiness, activity, and sleep quality by using their Oura Ring and its connected app. We've helped millions of people understand and improve their health by providing daily insights and practical steps to inspire healthy lifestyles. Empowering the world starts with living our values and empowering our team. As a quickly growing company focused on helping people live healthier and happier lives, we ensure that our team members have what they need to do their best work — both in and out of the office. Reporting to the VP of Data Engineering and Analytics, this role is to lead the Data Analytics team to enable global Analytics across Oura. About the Role We are seeking an experienced analytics platform leader as the Director for the Data Analytics team. In this role, you will be responsible for setting the vision and roadmap for the Analytics Data Lifecycle including Business Metrics, Business Glossary, Data Governance, Data Products to accelerate our business growth, deepen our product and membership understanding, and optimize our business operations. The core function is to define and execute the organization’s data strategy to drive business decisions and outcomes by bridging the gap between technical and business stakeholders, transforming data into actionable insights to improve performance, efficiency and revenue. You will lead a talented team of business and data analysts, acting as a player-coach to guide their work and develop their careers. As a key partner to leaders across the Data Engineering and Analytics organization, you will translate complex business challenges into a clear analytical roadmap, ensuring your team delivers accurate, trustworthy, and actionable insights that shape the future of Oura's growth. What You Will Do Vision drive alignment and adoption of analytics standards, metrics, and tools across domains. People leadership: Build, lead, and develop high‑performing analytics teams (including managing managers), acting as a player‑coach and fostering technical excellence and business impact. Data Products: Enable the creation of a unified data catalog. Design, visualize and manage data domains to enable the creation of interoperable, trustworthy data products that can be easily consumed by other domains, often through data pipelines and stores like data lakes or lakehouses. Self-Serve Platform Analytics Platform: Develop and maintain both prepared and self-serve data infrastructure platforms that provide domain teams with the tools and capabilities to create, manage, and consume data products. Use of AI Agents to deliver interactive dashboards with automated insights, predictive analytics, and anomaly detection Global Data Governance, Residency, Data Mesh Privacy: Ensure that our federated data governance of the data mesh and processes meet privacy, compliance, and security requirements. Establish scalable data management and governance frameworks that uphold data quality and integrity in line with industry best practices across multiple regions internationally Translate complex data into clear, actionable insights for stakeholders at all levels. Data Literacy: Enable global KPI metrics dashboard with a governed data dictionary to enable self service Champion best practices in data management of the global unified data mesh to ensure the accuracy, reliability, and trustworthiness of all data What You Have 10+ years of leadership in data/analytics; built high‑performing teams and cloud data platforms; 5+ years managing managers and scaling teams. Proven ability to lead the data lifecycle from definition through delivery; Master delivering measurable business outcomes and actionable insights; passion for data literacy. Experience innovating with emerging data technologies; attracting, developing, and inspiring top data talent. Proficiency with Analytics tools such as Tableau, ThoughtSpot, Looker, SQL, workflow engines, and stream processing. Hands‑on familiarity with AWS/GCP/Azure and Databricks / BigQuery / Redshift. Cross-Functional Collaboration: Experience working closely with the other leaders to ensure a holistic view of the customer journey from purchase to support. Partner with Business Domain Owners, Data Engineering, Data Science and Business teams to advocate for the unified data analytics and data governance best practices to succeed. Build, operate, and improve Oura’s Data lakehouse: Experience building and working with of a global data technology and platform that unifies data across systems to move, process, and store large amounts of data (Terabyte–Petabyte scale) leveraging tools such as Google Big Query, VertexAI, Databricks, Azure, AWS, S3, Spark / Glue, Athena, dbt, Iceberg, Snowflake, Docker, workflow engines, and more. Experience applying AI/ML and predictive analytics to drive efficiency, personalization, and growth. Specifically, AI/LLM Enablement and Readiness: Natural Language Processing (NLP) and Large Language Model (LLM) Design using Retrieval Augmented Generation (RAG), Vector based data architecture and design, Prompt Engineering to enable LLM reporting Experience leading data mesh delivery, management and governance Establish scalable data management and governance frameworks that uphold data quality and integrity in line with industry best practices. Experience leveraging AI, machine learning, and predictive analytics to enhance efficiency, personalization, and business growth Familiarity with some of the following: Tableau, Thoughtspot, Looker, Workflow engines, Stream processing, MLops, Spark, Athena, SQL, dbt, Databricks, Agentic AI. You are self-motivated, proactive, and able to lead and manage your own work effectively A pragmatic and goal oriented approach to development Nice to Have Experience in the healthcare, wellness, consumer electronics, wearables, digital health, or subscription services industries. Data and Platform Architecture, Agentic AI and ML Ops platform experience Security expertise in integrating diverse data sources, including product, transactional, and compliance data Embedded analytics into product, finance, sales, marketing, business operations, and customer experience Ability to navigate hypergrowth while managing regulatory constraints Strong people leader, capable of both strategic leadership and driving execution; experience leading and scaling data and analytics teams north of 10 Strong technical foundation, demonstrated through education or early-career hands-on roles Experience with production-quality AI/ML, predictive modeling, and leveraging analytics tools like VertexAI, MLOps, MLFlow, dbt, Microstrategy, Tableau, and Power BI, Thoughtspot Experience leading the development of a robust and scalable data platform that can support the organization’s growing data needs Advanced degree in Engineering, Data Science, Statistics, Computer Science, or a related field is preferred Benefits At Oura, we care about you and your well-being. Everyone here at Oura has a ring of their own and we are continually looking to improve employee health. What we offer: Competitive salary and equity packages Health, dental, vision insurance, and mental health resources An Oura Ring of your own plus employee discounts for friends & family 20 days of paid time off plus 13 paid holidays plus 8 days of flexible wellness time off Paid sick leave and parental leave Oura takes a market-based approach to pay, which may vary depending on your location. US locations are categorized into tiers based on a cost of labor index for that geographic area. While most offers will be closer to the starting range, successful candidates' pay will be determined based on job-related skills, experience, qualifications, work location, internal peer equity, and market conditions. These ranges may be modified in the future. Region 1 $226,100 - $266,000 We are not considering candidates residing in the following states: Alaska (AK), Delaware (DE), Iowa (IA), Mississippi (MS), Missouri (MO), Nebraska (NE), South Dakota (SD), West Virginia (WV), and Wisconsin (WI) Oura is proud to be an equal opportunity workplace. We celebrate diversity and are committed to creating an inclusive environment for all employees. Individuals seeking employment at Oura are considered without regard to age, ancestry, color, gender (including pregnancy, childbirth, or related medical conditions), gender identity or expression, genetic information, marital status, medical condition, mental or physical disability, national origin, protected family care or medical leave status, race, religion (including beliefs and practices or the absence thereof), sexual orientation, military or veteran status, or any other characteristic protected by federal, state, or local laws. We will not tolerate discrimination or harassment based on any of these characteristics. We will work to ensure individuals with disabilities are provided reasonable accommodation to participate in the interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Disclaimer: Beware of fake job offers! We’ve been alerted to scammers posing as ŌURA recruiters, especially for remote roles. Please note: Our jobs are listed only on the ŌURA Careers page and trusted job boards. We will never ask for personal information like ID or payment for equipment upfront. Official offers are sent through Docusign after a verbal offer, not via text or email. Stay cautious and protect your personal details. To all recruitment agencies: Oura does not accept agency resumes. Please do not forward resumes to our jobs alias, Oura employees, or any other organization's location. Oura is not responsible for any fees related to unsolicited resumes.", "summaryDescription" : "Director, Data Analytics at Ōura. Skills: Data analytics leadership, Analytics platform, Data lifecycle management, Data strategy execution. Drive alignment of analytics standards. 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Voivodeship, Poland", "locations" : [ "Warszawa", "Masovian Voivodeship", "Poland" ], "certifications" : [ "CISM", "CRISC", "CISSP" ], "timestamp" : "2026-06-16T08:55:33.446", "fingerprint" : "1002902146dbbaeebab6c88f26f44d9b30e387829be17cdefc2b9427c735de83", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.eu.greenhouse.io/eqtpartners/jobs/4897327101", "externalId" : "4897327101", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Warszawa", "state" : "Masovian Voivodeship", "country" : "Poland", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "52.2333742,21.0711489" } ], "locationText" : "Warszawa, Masovian Voivodeship, Poland", "experienceMinYears" : 10, "experienceLevel" : "Director", "technicalSkills" : "DORA, NIS2, ISO 27001, NIST", "professionalSkills" : [ "Risk assessment", "Control design", "Governance design", "Incident response", "Vendor risk management", "Policy development", "Standards development", "Procedure 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challenge" } ], "majorSkills" : "Information security risk, Cybersecurity governance, Technology risk, Regulatory frameworks", "majorSkillsList" : [ "Information security risk", "Cybersecurity governance", "Technology risk", "Regulatory frameworks" ], "coreResponsibilities" : "Translate cybersecurity risk, Translate technology risk, Design security controls, Implement security controls, Draft information security policies, Maintain information security policies, Enforce information security policies, Lead regulatory framework implementation, Monitor emerging obligations, Oversee vendor risk reviews, Define vendor security requirements, Track remediation of gaps, Coordinate incident response, Ensure governance obligations met, Lead post-incident reviews, Produce board-ready reporting, Produce risk appetite dashboards, Produce briefing materials", "teamCollaboration" : "Across global footprint; With CISO function; With governance forums; With Technology teams; With senior management; With governance committees", "domainKnowledge" : "Financial services environment; Cross-border regulatory dynamics; Cybersecurity technologies; Cybersecurity architectures; Cybersecurity solutions; Digital tools; Workflow automation; Data governance obligations", "domainList" : [ "financial-services-environment", "cross-border-regulatory-dynamics", "cybersecurity-technologies", "cybersecurity-architectures", "cybersecurity-solutions", "digital-tools", "workflow-automation", "data-governance-obligations" ], "domainSpecificKnowledge" : [ "Financial services environment", "Cross-border regulatory dynamics", "Cybersecurity technologies", "Cybersecurity architectures", "Cybersecurity solutions", "Digital tools", "Workflow automation", "Data governance obligations" ], "toolProficiency" : [ "Bloomberg Terminal", "Reuters Eikon", "FactSet" ], "communicationSkills" : "Board-level reporting; Senior audience communication", "continuousLearning" : "Continuous professional development", "problemSolvingSkills" : "Risk reduction; Risk mitigation", "qualificationsBasic" : "10 years information security risk, 10 years cybersecurity governance, 10 years technology risk, Build security risk frameworks, Operate security risk frameworks, Implement regulatory frameworks, Lead third-party vendor risk assessments, Solid background incident response, Advise technology teams, Credibly challenge technology teams, Distil technical topics, Distil risk topics", "qualificationsPreferred" : "CISM, CRISC, CISSP, Experience international team, Experience matrix organisation, Familiarity digital tools, Familiarity workflow automation, Exposure data governance obligations, Contribute board reporting, Contribute senior governance reporting", "rawDescription" : "EQT is looking for an Associate Director, Information Security Risk to serve as the firm's subject matter expert on information security risk — translating complex cybersecurity and technology risk into clear governance frameworks and actionable business outcomes. This is a senior individual contributor role sitting within the CISO function, reporting directly to the CISO, and operating across a global, regulated financial services environment. About the Team Risk, Regulatory, Compliance identify, assess and track security risks across the firm and escalate material issues to the CISO and relevant governance forums. Design and implement pragmatic, proportionate security controls that balance risk reduction with business agility. Draft, maintain and enforce information security policies, standards and procedures aligned to regulatory requirements and industry best practice. Lead implementation of applicable regulatory frameworks across EQT's global footprint (including DORA, NIS2, ISO 27001 and NIST) and monitor the horizon for emerging obligations. Oversee the information security component of third-party vendor risk reviews, including critical outsourcing assessments; define vendor security requirements and track remediation of identified gaps. Play a central role in EQT's cyber incident response capability — coordinating response activities, ensuring governance obligations are met, and leading post-incident reviews. Produce high-quality, board-ready reporting, risk appetite dashboards and briefing materials for senior management and governance committees. About You You are a seasoned information security risk professional with a commercial mindset and a talent for making complex risk topics accessible to senior audiences. You build trust across functions naturally, hold your ground on risk positions constructively, and bring genuine intellectual rigour to governance and control design. What you'll bring (must-have): Around 10 years of experience in information security risk, cybersecurity governance, or technology risk within asset management, private equity, banking or financial services. Proven track record building and operating security risk and control frameworks in a regulated financial services environment. Hands-on experience implementing regulatory frameworks such as DORA, NIS2, ISO 27001 or NIST, with solid understanding of cross-border regulatory dynamics. Demonstrated experience leading third-party vendor risk assessments, including outsourcing and critical supplier reviews. Solid background in incident response, from operational coordination through to governance reporting and lessons learned. Deep working knowledge of cybersecurity technologies, architectures and solutions, sufficient to advise and credibly challenge Technology teams. Strong communication skills with the ability to distil complex technical and risk topics into concise, impactful materials for senior and board-level audiences. Nice to have: Relevant professional qualifications such as CISM, CRISC or CISSP. Experience working within an international team or matrix organisation. Familiarity with digital tools and workflow automation that enhance team efficiency and risk reporting. Exposure to data governance obligations and their intersection with information security risk. Prior experience contributing to board or senior governance committee reporting in a financial services context. What We Offer At EQT, you will join a global firm that operates at the intersection of technology, finance and impact. You will have direct access to senior leadership, meaningful scope to shape how information security risk is governed at a complex, internationally active firm, and the opportunity to work alongside colleagues who hold themselves and each other to a high standard. EQT supports continuous professional development and values diverse perspectives as a driver of better outcomes. Compensation We understand and believe that being a great place to work drives the best performance.At EQT, inclusion is a business imperative and it's embedded into our talent strategy, decision-making, and culture to ensure that every individual and team operates at their full potential. By doing so, we unlock better collaboration, stronger innovation, and superior investment outcomes. About EQT EQT is a purpose-driven global investment organization focused on active ownership strategies. With a Nordic heritage and a global mindset, EQT has a track record of over three decades of developing companies across multiple geographies, sectors and strategies. EQT has investment strategies covering all phases of a business’ development, from start-up to maturity. EQT has EUR ‌270 billion in total assets under management (EUR ‌‌141 billion in fee-generating assets under management), within two business segments – Private Capital and Real Assets. With its roots in the Wallenberg family’s entrepreneurial mindset and philosophy of long-term ownership, EQT is guided by a set of strong values and a distinct corporate culture. EQT manages and advises funds and vehicles that invest across the world with the mission to future-proof companies, generate attractive returns and make a positive impact with everything EQT does. EQT has offices in more than 25 countries across Europe, Asia and the Americas and has more than 1,900 employees. 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Our exceptional teams craft and deploy creative legal strategies that are meticulously tailored to every matter, however complex or high-stakes. The firm’s work is distinguished by a unique combination of precision and vision. Based in New York, the Associate Director, Marketing Technology will architect and lead a best-in-class, global marketing technology function for Gibson Dunn. This leader will leverage AI, automation, and analytics to modernize marketing operations and power client engagement, business development, and brand growth. Combining strategic vision, technical fluency, and operational discipline, the Associate Director, Marketing Technology will transform how Gibson Dunn connects with clients through insight-driven marketing. Global Impact: Your work will define the marketing technology roadmap for a firm operating at the highest levels of law and business worldwide. Innovation at Scale: Lead the transformation of Client Experience and Communications function, leveraging cutting-edge tools—including AI-driven design solutions—to deliver exceptional work efficiently and strategically. Collaborative Culture: Partner with senior leaders, lawyers, and professionals across diverse practices and regions to bring bold ideas to life. Professional Growth: Build and mentor a world-class marketing technology team in a B2B environment. This role reports to the Chief Client Experience experienced with APIs, data ecosystems, and analytics tools (Power BI, Tableau, GA4). Governance retirement benefits; paid days off, including sick time, and vacation time; parental leave; basic life insurance; Flexible Spending Accounts; as well as discretionary, performance-based bonuses. #LI-Hybrid ______ For technical difficulties with our online application, please contact us at staffrecruiting@gibsondunn.com. Our recruiting support team will respond as soon as possible. ______ Gibson Dunn is committed to ensuring equal employment opportunities for all qualified applicants, including individuals with disabilities. We strive to ensure an inclusive and accessible hiring experience. The Firm will provide reasonable accommodations to qualified individuals with disabilities to enable participation in the application and recruitment process, unless doing so would impose an undue hardship, in accordance with applicable laws and regulations. If you require a reasonable accommodation to complete an application, participate in an interview, or otherwise take part in the recruitment process, please contact us at recruiting-accommodations@gibsondunn.com. Please note, this is a dedicated email inbox established exclusively to assist applicants with accommodation request related to the recruitment process. Inquiries about the status of an application or other non-accommodation matter will not receive a response.", "summaryDescription" : "Associate Director, Marketing Technology at Gibson Dunn. Skills: Marketing technology, AI, Automation. Architect marketing technology function. 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Thanks for your interest in this position. Please review the details and if role and if it's something that could match your career goals, connect with your current manager and HRBP to discuss if your experience and skills line up. If everything is a go, please apply and the Talent Acquisition team will contact you for an interview so we can also get to know you better. - Your Human Resources Team About the Role We are seeking a visionary and results-driven Senior Director of Enterprise Data & Analytics to serve as a strategic leader and key partner to the business. This senior leadership level role will be responsible for expanding and executing the company's enterprise data strategy, analytics capabilities, and driving the adoption of advanced AI and machine learning solutions across commercial and enterprise functions. The ideal candidate brings deep pharmaceutical and life sciences expertise, hands-on experience with modern cloud data platforms, and the strategic mindset to build world-class data capabilities that enable faster, smarter decision-making across the enterprise. Let’s talk about some of the key responsibilities of the role: Define and own the multi-year enterprise data and analytics strategy, and roadmap aligning closely with the company’s commercial and corporate priorities ensuring data capabilities as a competitive differentiator. Serve as a trusted advisor and strategic partner to senior leadership and business stakeholders across commercial, finance, HR, medical affairs, market access, R&D and operations — translating complex data opportunities into clear business value. Partner with senior leadership team and IT to develop and execute corporate AI strategy and adoption Proactively understand the industry trends and bring innovative data and AI capabilities to improve AI/ML adoption including Gen AI, integration of AI applications through MCP, predictive modeling and advanced analytics that drive measurable business outcomes. Lead the architecture, evolution, scalability, and lifecycle of a modern, cloud-native enterprise data platform (e.g., Databricks, Azure, Tableau), ensuring it robustly supports the organization’s advancing analytics and AI workloads. Ensure robust data governance, security, privacy, retention and compliance standards — working in close partnership with Information Security, Legal, and Privacy teams to safeguard all data assets in alignment with HIPAA, GDPR, and other applicable regulations. Direct the strategy and governance for onboarding complex life sciences data ecosystems—including commercial, claims, provider (HCP), and third-party logistics (3PL) streams—into a unified data landscape. Establish the architectural strategy for integrating advanced AI capabilities and external applications (e.g., Veeva, Salesforce) using modern, agnostic data exposure frameworks like MCP to drive seamless interoperability. Provide strategic oversight for the engineering teams responsible for building and maintaining robust ETL/ELT pipelines across commercial and enterprise data ecosystems. Serve as the organizational authority and subject matter expert on enterprise data architecture, data integration, and business intelligence—ensuring delivery of high-impact executive insights and robust self-service reporting frameworks. Implement data quality monitoring frameworks and SLAs to ensure that business-critical data assets meet accuracy, completeness, and timeliness standards. Lead strategic vendor relationships across data platform providers (e.g., Snowflake, Databricks), pharma data suppliers (e.g., IQVIA), analytics tools vendors, and implementation partners. Lead and manage IT budgets for all enterprise data and analytics spend. Champion a data-driven culture across the organization by establishing shared data literacy programs, self-service analytics frameworks, and executive-level reporting capabilities. Develop and retain a high performing team of data engineers, analysts, developers and consultants, fostering a culture of innovation, continuous learning and technical excellence. Factors for Success: Bachelor’s in computer science, Information systems, Engineering or related field, advanced degrees such as MBA or MS will be a plus. 15+ years of progressive experience in data, analytics, and technology leadership, with a minimum of 5 years in a senior leadership role preferably in a life sciences. Deep pharmaceutical or life sciences industry experience and business acumen with comprehensive understanding of commercial data ecosystems including HCP data, claims data, specialty pharmacy, market access, and patient services from leading data sources and partners. Familiarity with regulatory and compliance requirements relevant to pharmaceutical data (e.g., HIPAA, GDPR, 21 CFR Part 11). Proven track record of building and scaling enterprise data platforms in a cloud environment, with deep technical fluency in data management tools such as Databricks, Snowflake, Microsoft Azure, and AWS and data visualization tools such as Tableau, PowerBI and Spotfire. Experience integrating life sciences CRM and commercial applications — such as Veeva CRM, Veeva Vault, Salesforce, and Salesforce Marketing Cloud — with enterprise data platforms. Proven experience driving the implementation and adoption of Generative AI, predictive modeling, and machine learning capabilities within enterprise systems and data platforms. Exceptional executive communication and storytelling skills with the ability to present complex data strategies to non-technical senior leaders and board-level audiences. Strong financial acumen with experience managing budgets and spending for all data analytics related projects and consultants. Good project management experience to manage large projects in an agile or waterfall framework depending on the type and complexity of the project. A good team player with experience in managing and developing diverse, distributed teams of data professionals. Tarsus Leadership Competencies: Empowering Others - Fosters empowerment by aligning authority with accountability, developing leaders’ decision-making capability, and creating systems that support performance and growth. Emotional Intelligence - Foster trust and psychological safety, navigating complex interpersonal dynamics with compassion and accountability, and adapting leadership style to support others while maintaining composure under pressure. Grows Capacity - Builds organizational capacity by developing talent systems, coaching cultures, and strategic partnerships that grow leadership strength and prepare the next generation of leaders. Business Acumen - Demonstrates strong business acumen by anticipating market dynamics and using financial and strategic insight to guide investments, manage risk, and align priorities with long-term organizational value. Innovative Mindset and Action - Demonstrates an innovative mindset by championing new ideas, investing in enabling systems and partnerships, and translating innovation into sustainable growth and organizational resilience. A Few Other Details Worth Mentioning: The position will be based in our beautiful Irvine office, complete with onsite gym, pool, snacks, drinks, and occasional catered meals. We provide a hybrid work environment. Remote candidates with exceptional leadership skills in leading remote teams may be considered. We are passionate about our culture! Our Tarsans live our values of commitment to patients, empowerment to champion innovation, and teamwork to amplify impact! This position reports directly to VP, Digital & IT Some travel may be required – up to 10% At Tarsus, we understand the importance of attracting and retaining top talent. The expected base pay range for this position is $255,000 - $357,000 plus bonus, stock equity, and comprehensive benefits. The base pay range reflects the target range for this position, but individual pay will be determined by additional factors such as job-related skills, experience and relevant education or training. Our benefits include health, dental and vision insurance benefits to ensure your well-being. We believe in work-life balance and offer generous paid time off, including vacation, holidays, and personal days. For more details regarding Tarsus benefits, please visit: https://eb.alliant.com/26tarsusbenefitssnapshot. #LI-Hyrbid #LI-Remote", "summaryDescription" : "Sr Director, Enterprise Data & Analytics at Tarsanet", "postedDate" : "2026-06-16T03:16:04.227", "createdAt" : "2026-06-16T03:16:04.227", "lastUpdated" : "2026-06-16T10:53:17.993", "ingestTimestamp" : "2026-06-16T03:16:04.227", "mongoId" : "6a309104f292fd229c0ba247", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 255000, "salaryAnnualMax" : 357000, "salaryBand" : "200k+", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Director", "dataQualityScore" : 0.8888889, "_score" : 1068.523, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Pharma", "llmIndustryConfidence" : 0.98 }, { "id" : "6a307af3f292fd229c042239", "title" : "Sr Director, Enterprise Data & Analytics", "company" : "Tarsus Pharmaceuticals", "industry" : "Pharma", "salary" : { "min" : 255000.0, "max" : 357000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Irvine, California, United States", "locations" : [ "Irvine", "California", "United States" ], "certifications" : [ "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified" ], "timestamp" : "2026-06-16T12:28:48.325", "fingerprint" : "15009b0557edbb13d8878c332809bcc4fd98d0daac11b375a51b7d0dd874df71", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://tarsusrx.com/careers?gh_jid=6030918004", "externalId" : "6030918004", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Irvine", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "33.6856969,-117.8259810" } ], "locationText" : "Irvine, California, United States", "employmentType" : "FULL_TIME", "experienceLevel" : "Director", "technicalSkills" : "SQL, Python, R, Spark, Dbt, Tableau, Power BI, Looker, Snowflake, BigQuery, Redshift, Databricks, Fivetran, Airflow, Delta Lake, Scikit-learn, TensorFlow, PyTorch, XGBoost, LightGBM, Hugging Face, MLflow, AWS, SageMaker, Vertex AI, Azure ML", "professionalSkills" : [ "Quantitative analysis", "Data modeling", "Statistical analysis", "Machine learning", "Business intelligence", "Data engineering", "Analytics engineering" ], "hardSkillsList" : [ "Regression analysis", "Classification modeling", "Clustering algorithms", "Time-series forecasting", "A/B testing", "Causal inference" ], "hardSkills" : [ { "name" : "Regression analysis", "level" : "intermediate" }, { "name" : "Classification modeling", "level" : "intermediate" }, { "name" : "Clustering algorithms", "level" : "intermediate" }, { "name" : "Time-series forecasting", "level" : "intermediate" }, { "name" : "A/B testing", "level" : "intermediate" }, { "name" : "Causal inference", "level" : "intermediate" } ], "majorSkills" : "Data science, Data engineering, Machine learning, Business intelligence", "majorSkillsList" : [ "Data science", "Data engineering", "Machine learning", "Business intelligence" ], "coreResponsibilities" : "Develop and implement data science models, Build and maintain data pipelines, Design and execute A/B tests, Create and maintain BI dashboards, Collaborate with cross-functional teams, Provide analytical insights, Stay current with industry trends", "teamCollaboration" : "Cross-functional teams; Stakeholders", "toolProficiency" : [ "Dbt Cloud" ], "qualificationsBasic" : "5+ years of experience in data science or analytics, Proficiency in SQL, Bachelor's degree in a quantitative field", "qualificationsPreferred" : "PhD preferred, Experience with ML frameworks, Cloud platform certifications", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "About the Role We are seeking a visionary and results-driven Senior Director of Enterprise Data & Analytics to serve as a strategic leader and key partner to the business. This senior leadership level role will be responsible for expanding and executing the company's enterprise data strategy, analytics capabilities, and driving the adoption of advanced AI and machine learning solutions across commercial and enterprise functions. The ideal candidate brings deep pharmaceutical and life sciences expertise, hands-on experience with modern cloud data platforms, and the strategic mindset to build world-class data capabilities that enable faster, smarter decision-making across the enterprise. Let’s talk about some of the key responsibilities of the role: Define and own the multi-year enterprise data and analytics strategy, and roadmap aligning closely with the company’s commercial and corporate priorities ensuring data capabilities as a competitive differentiator. Serve as a trusted advisor and strategic partner to senior leadership and business stakeholders across commercial, finance, HR, medical affairs, market access, R&D and operations — translating complex data opportunities into clear business value. Partner with senior leadership team and IT to develop and execute corporate AI strategy and adoption Proactively understand the industry trends and bring innovative data and AI capabilities to improve AI/ML adoption including Gen AI, integration of AI applications through MCP, predictive modeling and advanced analytics that drive measurable business outcomes. Lead the architecture, evolution, scalability, and lifecycle of a modern, cloud-native enterprise data platform (e.g., Databricks, Azure, Tableau), ensuring it robustly supports the organization’s advancing analytics and AI workloads. Ensure robust data governance, security, privacy, retention and compliance standards — working in close partnership with Information Security, Legal, and Privacy teams to safeguard all data assets in alignment with HIPAA, GDPR, and other applicable regulations. Direct the strategy and governance for onboarding complex life sciences data ecosystems—including commercial, claims, provider (HCP), and third-party logistics (3PL) streams—into a unified data landscape. Establish the architectural strategy for integrating advanced AI capabilities and external applications (e.g., Veeva, Salesforce) using modern, agnostic data exposure frameworks like MCP to drive seamless interoperability. Provide strategic oversight for the engineering teams responsible for building and maintaining robust ETL/ELT pipelines across commercial and enterprise data ecosystems. Serve as the organizational authority and subject matter expert on enterprise data architecture, data integration, and business intelligence—ensuring delivery of high-impact executive insights and robust self-service reporting frameworks. Implement data quality monitoring frameworks and SLAs to ensure that business-critical data assets meet accuracy, completeness, and timeliness standards. Lead strategic vendor relationships across data platform providers (e.g., Snowflake, Databricks), pharma data suppliers (e.g., IQVIA), analytics tools vendors, and implementation partners. Lead and manage IT budgets for all enterprise data and analytics spend. Champion a data-driven culture across the organization by establishing shared data literacy programs, self-service analytics frameworks, and executive-level reporting capabilities. Develop and retain a high performing team of data engineers, analysts, developers and consultants, fostering a culture of innovation, continuous learning and technical excellence. Factors for Success: Bachelor’s in computer science, Information systems, Engineering or related field, advanced degrees such as MBA or MS will be a plus. 15+ years of progressive experience in data, analytics, and technology leadership, with a minimum of 5 years in a senior leadership role preferably in a life sciences. Deep pharmaceutical or life sciences industry experience and business acumen with comprehensive understanding of commercial data ecosystems including HCP data, claims data, specialty pharmacy, market access, and patient services from leading data sources and partners. Familiarity with regulatory and compliance requirements relevant to pharmaceutical data (e.g., HIPAA, GDPR, 21 CFR Part 11). Proven track record of building and scaling enterprise data platforms in a cloud environment, with deep technical fluency in data management tools such as Databricks, Snowflake, Microsoft Azure, and AWS and data visualization tools such as Tableau, PowerBI and Spotfire. Experience integrating life sciences CRM and commercial applications — such as Veeva CRM, Veeva Vault, Salesforce, and Salesforce Marketing Cloud — with enterprise data platforms. Proven experience driving the implementation and adoption of Generative AI, predictive modeling, and machine learning capabilities within enterprise systems and data platforms. Exceptional executive communication and storytelling skills with the ability to present complex data strategies to non-technical senior leaders and board-level audiences. Strong financial acumen with experience managing budgets and spending for all data analytics related projects and consultants. Good project management experience to manage large projects in an agile or waterfall framework depending on the type and complexity of the project. A good team player with experience in managing and developing diverse, distributed teams of data professionals. Tarsus Leadership Competencies: Empowering Others - Fosters empowerment by aligning authority with accountability, developing leaders’ decision-making capability, and creating systems that support performance and growth. Emotional Intelligence - Foster trust and psychological safety, navigating complex interpersonal dynamics with compassion and accountability, and adapting leadership style to support others while maintaining composure under pressure. Grows Capacity - Builds organizational capacity by developing talent systems, coaching cultures, and strategic partnerships that grow leadership strength and prepare the next generation of leaders. Business Acumen - Demonstrates strong business acumen by anticipating market dynamics and using financial and strategic insight to guide investments, manage risk, and align priorities with long-term organizational value. Innovative Mindset and Action - Demonstrates an innovative mindset by championing new ideas, investing in enabling systems and partnerships, and translating innovation into sustainable growth and organizational resilience. A Few Other Details Worth Mentioning: The position will be based in our beautiful Irvine office, complete with onsite gym, pool, snacks, drinks, and occasional catered meals. We provide a hybrid work environment. Remote candidates with exceptional leadership skills in leading remote teams may be considered. We are passionate about our culture! Our Tarsans live our values of commitment to patients, empowerment to champion innovation, and teamwork to amplify impact! This position reports directly to VP, Digital & IT Some travel may be required – up to 10% At Tarsus, we understand the importance of attracting and retaining top talent. The expected base pay range for this position is $255,000 - $357,000 plus bonus, stock equity, and comprehensive benefits. The base pay range reflects the target range for this position, but individual pay will be determined by additional factors such as job-related skills, experience and relevant education or training. Our benefits include health, dental and vision insurance benefits to ensure your well-being. We believe in work-life balance and offer generous paid time off, including vacation, holidays, and personal days. For more details regarding Tarsus benefits, please visit: https://eb.alliant.com/26tarsusbenefitssnapshot. #LI-Hyrbid #LI-Remote Tarsus Pharmaceuticals, Inc. is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex including sexual orientation and gender identity, national origin, disability, protected Veteran Status, or any other characteristic protected by applicable federal, state, or local law.", "summaryDescription" : "Sr Director, Enterprise Data & Analytics at Tarsus Pharmaceuticals. Skills: Data science, Data engineering, Machine learning, Business intelligence. Develop and implement data science models. Build and maintain data pipelines", "postedDate" : "2026-06-16T01:18:21.091", "createdAt" : "2026-06-16T01:18:21.091", "lastUpdated" : "2026-06-16T12:28:48.325", "ingestTimestamp" : "2026-06-16T01:18:21.091", "mongoId" : "6a307af3f292fd229c042239", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 255000, "salaryAnnualMax" : 357000, "salaryBand" : "200k+", "hasSalary" : true, "allSkills" : [ "Regression analysis", "Classification modeling", "Clustering algorithms", "Time-series forecasting", "A/B testing", "Causal inference", "Data science", "Data engineering", "Machine learning", "Business intelligence", "Quantitative analysis", "Data modeling", "Statistical analysis", "Analytics engineering", "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified", "Dbt Cloud" ], "skillCount" : 19, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Director", "dataQualityScore" : 1.0, "_score" : 1062.4924, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Pharma", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2cb20774d8ee00a09deebe", "title" : "Associate Director, Brand Analytics", "industry" : "Analyst", "salary" : { "min" : 175000.0, "max" : 250000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Director-level Brand Analytics role in the US Pharma industry, adjusted for remote work and general market conditions." }, "location" : "US", "locations" : [ "US" ], "timestamp" : "2026-06-16T01:27:24.011", "fingerprint" : "b34a4b29ca52c316eb014967fb64f4c2f26a9bd293e9584b88985f1993afdaa8", "source" : "lever", "language" : "en", "applyUrl" : "https://jobs.lever.co/jobgether/5aa572ec-6ada-4550-b9a5-368e5cb896e7/apply", "externalId" : "5aa572ec-6ada-4550-b9a5-368e5cb896e7", "industryFunction" : { }, "structuredLocations" : [ { "country" : "United States", "continent" : "na", "workMode" : "remote" } ], "locationText" : "United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 8, "experienceLevel" : "Director", "technicalSkills" : "SQL, Python, R, Excel, Power BI, Alteryx, Dataiku", "professionalSkills" : [ "Brand analytics", "Commercial analytics", "Business insights", "Advanced analytics", "Predictive modeling", "Campaign effectiveness analysis", "Data visualization" ], "hardSkillsList" : [ "Segmentation", "Predictive modeling", "Campaign effectiveness analysis" ], "softSkillsList" : [ "Leadership" ], "hardSkills" : [ { "name" : "Segmentation", "level" : "intermediate" }, { "name" : "Predictive modeling", "level" : "intermediate" }, { "name" : "Campaign effectiveness analysis", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" } ], "majorSkills" : "Brand analytics, Predictive modeling, Data visualization", "majorSkillsList" : [ "Brand analytics", "Predictive modeling", "Data visualization" ], "coreResponsibilities" : "Act as strategic analytics partner, Support launch planning, Support execution, Support ongoing performance management, Own customer segmentation strategies, Evolve customer segmentation strategies, Align segmentation with brand objectives, Target customer groups effectively, Lead advanced analytics, Generate insights on market dynamics, Generate insights on customer behavior, Generate insights on patient journeys, Generate insights on brand performance, Develop predictive modeling approaches, Execute predictive modeling approaches, Develop prescriptive modeling approaches, Execute prescriptive modeling approaches, Develop look-alike modeling, Execute look-alike modeling, Develop campaign effectiveness measurement, Execute campaign effectiveness measurement, Design performance dashboards, Maintain performance dashboards, Design KPIs, Maintain KPIs, Design launch measurement frameworks, Maintain launch measurement frameworks, Track progress against business objectives, Partner across teams, Integrate data sources, Translate analytical outputs, Influence brand strategy, Influence decision-making", "teamCollaboration" : "Brand teams; Forecasting teams; Market Research teams; Data Science teams; Medical teams; Commercial teams; Leadership level", "domainKnowledge" : "Oncology assets; Pharmaceutical environments; Biotech environments; Healthcare environments; Product launches; Complex organizations", "domainList" : [ "oncology-assets", "pharmaceutical-environments", "biotech-environments", "healthcare-environments", "product-launches", "complex-organizations" ], "domainSpecificKnowledge" : [ "Oncology assets", "Pharmaceutical environments", "Biotech environments", "Healthcare environments", "Product launches", "Complex organizations" ], "toolProficiency" : [ "Power BI", "Alteryx", "Dataiku" ], "communicationSkills" : "Present insights clearly; Executive audiences", "continuousLearning" : "Advanced analytics; Leadership growth", "outcomesObjectives" : "Track progress against business objectives", "qualificationsBasic" : "Bachelor's degree, 8+ years of experience, SQL proficiency, Python or R proficiency", "qualificationsPreferred" : "Advanced degree preferred, Experience supporting product launches, Experience with Power BI, Experience with Alteryx, Experience with Dataiku", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "## Accountabilities Act as a strategic analytics partner to brand teams supporting launch planning, execution, and ongoing performance management for oncology assets. Own and evolve customer segmentation strategies, ensuring alignment with brand objectives and effective targeting across customer groups. Lead advanced analytics using secondary data to generate insights on market dynamics, customer behavior, patient journeys, and brand performance. Develop and execute predictive and prescriptive modeling approaches, including look-alike modeling and campaign effectiveness measurement. Design and maintain performance dashboards, KPIs, and launch measurement frameworks to track progress against business objectives. Partner across Forecasting, Market Research, Data Science, Medical, and Commercial teams to integrate data sources into cohesive insights and recommendations. Translate complex analytical outputs into clear, actionable recommendations that influence brand strategy and decision-making at the leadership level. Requirements: Bachelor’s or Master’s degree in Business, Economics, Statistics, Data Science, Marketing, or a related analytical field (advanced degree preferred). 8+ years of experience in brand analytics, commercial analytics, business insights, or related roles, ideally within pharmaceutical, biotech, or healthcare environments. Strong experience supporting product launches or pre-launch strategy in complex, matrixed organizations. Hands-on expertise in advanced analytics and modeling techniques such as segmentation, predictive modeling, and campaign effectiveness analysis. Advanced proficiency in SQL and Python or R, with strong capabilities in Excel and PowerPoint. Experience with data visualization and analytics tools such as Power BI, Alteryx, or Dataiku is highly preferred. Strong communication skills with the ability to influence stakeholders and present insights clearly to executive audiences. Demonstrated ability to manage multiple projects and deliver high-quality analytical outputs in fast-paced environments. Benefits: Competitive base salary aligned with experience and market benchmarks. Annual bonus eligibility and potential performance-based incentives (role-dependent). Equity opportunities and participation in employee stock purchase programs. Comprehensive medical, dental, and vision insurance coverage. 401(k) retirement plan with additional savings options (FSA/HSA). Generous paid time off and wellness-focused benefits. Learning and development opportunities in advanced analytics and leadership growth. Inclusive, mission-driven culture focused on innovation and patient impact. ## Additional Information How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Why Apply Through Jobgether? Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. #LI-CL1", "summaryDescription" : "Associate Director, Brand Analytics. Skills: Brand analytics, Predictive modeling, Data visualization. Act as strategic analytics partner. Support launch planning", "postedDate" : "2026-06-12T15:53:48.943", "createdAt" : "2026-06-12T15:53:48.943", "lastUpdated" : "2026-06-16T01:27:24.011", "ingestTimestamp" : "2026-06-14T21:06:05.195", "mongoId" : "6a2cb20774d8ee00a09deebe", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 175000, "salaryAnnualMax" : 250000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Segmentation", "Predictive modeling", "Campaign effectiveness analysis", "Leadership", "Brand analytics", "Data visualization", "Commercial analytics", "Business insights", "Advanced analytics", "Oncology assets", "Pharmaceutical environments", "Biotech environments", "Healthcare environments", "Product launches", "Complex organizations", "Power BI", "Alteryx", "Dataiku" ], "skillCount" : 18, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Director", "dataQualityScore" : 0.8888889, "_score" : 1061.7383, "daysOld" : 3, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Pharma", "llmIndustryConfidence" : 0.95 }, { "id" : "6a30578df292fd229cf3b246", "title" : "Director, Data Science (Marketing Analytics)", "company" : "WPP Media", "industry" : "Media", "salary" : { "min" : 125000.0, "max" : 175000.0, "currency" : "GBP", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Director, Data Science in London, UK, adjusted for the media industry and company size." }, "location" : "London, England, United Kingdom", "locations" : [ "London", "England", "United Kingdom" ], "certifications" : [ "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified" ], "timestamp" : "2026-06-16T10:34:33.119", "fingerprint" : "3a6ba62df525fbf243ac489ac4826d3b9b5e3c96574d118a4c07a07dc922c5c5", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/wppmedia/jobs/5256672008", "externalId" : "5256672008", "industryFunction" : { }, "structuredLocations" : [ { "city" : "London", "state" : "England", "country" : "United Kingdom", "continent" : "eu", "source" : "llm", "workMode" : "hybrid", "geo" : "51.5074456,-0.1277653" } ], "locationText" : "London, England, United Kingdom", "experienceLevel" : "Director", "technicalSkills" : "SQL, Python, R, Scala, Spark, Dbt, Snowflake, BigQuery, Redshift, Databricks, Fivetran, Airflow, Dbt Cloud, Delta Lake, Scikit-learn, TensorFlow, PyTorch, XGBoost, LightGBM, Hugging Face, MLflow, AWS, S3, Glue, SageMaker, Athena, GCP, Vertex AI, Azure, Synapse, ML Studio", "professionalSkills" : [ "Data engineering", "ML/AI", "Business intelligence", "Analytics engineering", "Quantitative analysis", "Statistical methods", "ML frameworks", "BI platforms", "Cloud data stacks", "Modelling skills" ], "hardSkillsList" : [ "Statistical modeling", "Machine learning", "Data analysis", "Data manipulation", "Data visualization", "ETL processes", "Database management", "Cloud computing", "A/B testing", "Causal inference" ], "hardSkills" : [ { "name" : "Statistical modeling", "level" : "intermediate" }, { "name" : "Machine learning", "level" : "intermediate" }, { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Data manipulation", "level" : "intermediate" }, { "name" : "Data visualization", "level" : "intermediate" }, { "name" : "ETL processes", "level" : "intermediate" }, { "name" : "Database management", "level" : "intermediate" }, { "name" : "Cloud computing", "level" : "intermediate" }, { "name" : "A/B testing", "level" : "intermediate" }, { "name" : "Causal inference", "level" : "intermediate" } ], "majorSkills" : "Data Science, Machine Learning, Data Engineering, Marketing Analytics", "majorSkillsList" : [ "Data Science", "Machine Learning", "Data Engineering", "Marketing Analytics" ], "coreResponsibilities" : "Develop and implement advanced statistical and machine learning, Design and build data pipelines, Create and maintain BI dashboards and reports, Analyze marketing campaign performance, Provide data-driven insights to stakeholders, Collaborate with engineering teams, Ensure data quality and integrity, Stay updated on industry trends", "teamCollaboration" : "Cross-functional teams; Marketing teams; Engineering teams; Stakeholders", "domainKnowledge" : "Marketing analytics; Customer segmentation; Campaign optimization; Attribution modeling; Customer lifetime value", "domainList" : [ "marketing-analytics", "customer-segmentation", "campaign-optimization", "attribution-modeling", "customer-lifetime-value" ], "domainSpecificKnowledge" : [ "Marketing analytics", "Customer segmentation", "Campaign optimization", "Attribution modeling", "Customer lifetime value" ], "toolProficiency" : [ "Tableau", "Power BI", "Looker" ], "communicationSkills" : "Present insights; Communicate findings", "problemSolvingSkills" : "Analytical problem solving", "qualificationsBasic" : "5+ years of experience in data science or analytics, Proficiency in SQL, Bachelor's degree in Statistics, Computer Science, Mathematics, or related field", "qualificationsPreferred" : "PhD preferred, Experience with specific ML frameworks, Cloud platform certifications", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "About WPP Media WPP is the trusted growth partner for the world’s leading brands. With exceptional talent, trusted data and intelligence, and world-class partnerships – all united by our pioneering agentic marketing platform, WPP Open – we help clients navigate change, capture opportunity, and deliver transformational growth.  WPP Media is WPP's AI-driven media operating unit, bringing together media, data, and partnerships to deliver creative personalisation at scale. Connected through WPP Open and powered by Open Intelligence, clients see exactly where, how, and why their media investment is working. For more information, visit wppmedia.com. 2492 - Director, Data Science (Marketing Analytics) - UK Role Summary and Impact We are seeking an exceptional Senior Data Scientist to join our Marketing Science team, serving as both a technical leader and hands-on contributor in building advanced activation solutions that drive superior client performance. This role combines strategic leadership responsibilities with deep technical expertise in econometric modelling and predictive analytics. Responsibilities This is a dynamic and compelling role, and the successful candidate will need to demonstrate an ability to manage multiple projects simultaneously. You will develop a close working relationship with various internal and external teams. The objectives of the role are varied and will adapt to the business objectives as we grow. The following areas are key to the successful management and development of the team: Drive technical excellence and innovation in marketing measurement Build and scale team capabilities that enhance expertise in advanced analytics and marketing analytics methodologies Strengthen stakeholder relationships Establish analytical standards and best practices Foster a culture of continuous learning, collaboration, and excellence within the department Responsibilities Leadership and Team Management: Lead and mentor a team of data scientists and analysts, fostering professional development and technical excellence Establish team priorities, allocate resources effectively, and ensure delivery of high-quality analytical solutions Develop and implement training programs to enhance team capabilities in advanced analytics and marketing analytics Conduct performance reviews, provide regular feedback, and support career progression planning Build a collaborative, innovation-focused team culture that encourages experimentation and learning Stakeholder Management Serve as the primary analytical consultant for senior client stakeholders and internal leadership teams Translate complex analytical insights into actionable business recommendations and strategic guidance Collaborate with client service teams to scope analytical requirements and deliver solutions that meet business objectives Present high-level insights, recommendations, and innovations to senior stakeholders Cultivate strong relationships with agencies, identifying opportunities for expanded collaboration and business growth Address escalated client concerns and ensure consistent delivery of high-quality solutions Technical Excellence & Data Science Design, build, and validate Marketing Mix Models (MMM) using advanced econometric techniques Develop predictive models for campaign performance, customer behaviour, and business outcomes Implement cutting-edge statistical approaches including Bayesian modelling, machine learning, and causal inference Create cross-channel reach and frequency measurement frameworks and attribution models Build automated reporting and monitoring systems for ongoing campaign optimization Oversee the development of innovative data models and analytical frameworks to drive marketing effectiveness Ensure the team stays current with the latest advancements in data science and machine learning relevant to marketing Collaborate with the Marketing Strategists to translate complex data insights into actionable marketing strategies Guide the development of optimisation strategies both independently and in collaboration with WPP Media EMEA team. Innovation & Methodology Development Research and implement new analytical approaches, tools, and methodologies in marketing science Develop proprietary frameworks and best practices for effectiveness measurement and optimization Lead proof-of-concept projects exploring emerging techniques in marketing analytics Establish analytical standards and quality assurance processes across the team Contribute to thought leadership through white papers, industry presentations, and case studies Skills & Experience Advanced expertise in Marketing Mix Modelling (MMM) including media saturation curves, adstock effects, and base vs. incremental decomposition Strong econometrics background with experience in time series analysis, panel data methods, and causal inference Proficiency in predictive modelling using machine learning techniques (regression, tree-based methods, neural networks) Programming expertise in R and/or Python with experience in relevant libraries (e.g., tidyverse, scikit-learn, PyMC3, Stan) Experience with cloud platforms (AWS, GCP, Azure) and big data technologies (Spark, SQL) Knowledge of experimental design and A/B testing methodologies Familiarity with marketing measurement frameworks including attribution, incrementality testing, and media optimization Business & Leadership Skills Exceptional communication skills with ability to present complex analyses to non-technical stakeholders Proven experience managing and developing technical teams Strong project management capabilities with experience handling multiple concurrent initiatives Deep understanding of digital marketing ecosystem and media channels Experience working in agency, consulting, or client services environment preferred Life at WPP Media & Benefits Our passion for shaping the next era of media is powered by our commitment to Be Extraordinary, investing in our employees to inspire transformational creativity. We also Lead Optimistically, firmly believing in and Championing Growth and Development for every individual. This commitment allows WPP Media employees to leverage the extensive global WPP Media & WPP networks to pursue their passions, build vital professional connections, and learn at the cutting edge of marketing and advertising.  We Create an Open environment built on trust and respect, where everyone feels they belong and has opportunities to progress. This inclusive culture is fostered through a variety of employee resource groups and frequent in-office events showcasing team wins, sharing thought leadership, and celebrating holidays and milestone events. Our comprehensive benefits package reflects this commitment, including competitive medical, group retirement plans, vision, and dental insurance, significant paid time off, preferential partner discounts, and employee mental health awareness days.  WPP Media is an equal opportunity employer and considers applicants for all positions without discrimination or regard to characteristics. We believe the best work happens when we're together, fostering creativity, collaboration, and connection in this open and supportive environment. That's why we’ve adopted a hybrid approach, with teams in the office around four days a week. If you require accommodations or flexibility, please discuss this with the hiring team during the interview process.  Please note that while our philosophy is the same across WPP, benefits may vary by office/country. Please note this is a UK based role and requires individuals to have the right to work in this location Please read our Privacy Notice (https://www.wppmedia.com/pages/privacy-policy) for more information on how we process the information you provide. While we appreciate all applications received, only those candidates selected for an interview will be contacted.  #LI-Promoted Please read our Privacy Notice for more information on how we process the information you provide.", "summaryDescription" : "Director, Data Science (Marketing Analytics) at WPP Media. Skills: Data Science, Machine Learning, Data Engineering, Marketing Analytics. Develop and implement advanced statistical and machine learning. Design and build data pipelines", "postedDate" : "2026-06-15T23:22:36.690", "createdAt" : "2026-06-15T23:22:36.690", "lastUpdated" : "2026-06-16T10:34:33.119", "ingestTimestamp" : "2026-06-15T23:22:36.690", "mongoId" : "6a30578df292fd229cf3b246", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "100k-150k", "hasSalary" : false, "allSkills" : [ "Statistical modeling", "Machine learning", "Data analysis", "Data manipulation", "Data visualization", "ETL processes", "Database management", "Cloud computing", "A/B testing", "Causal inference", "Data Science", "Machine Learning", "Data Engineering", "Marketing Analytics", "Data engineering", "ML/AI", "Business intelligence", "Analytics engineering", "Quantitative analysis", "Statistical methods", "ML frameworks", "BI platforms", "Cloud data stacks", "Modelling skills", "Marketing analytics", "Customer segmentation", "Campaign optimization", "Attribution modeling", "Customer lifetime value", "GCP Professional 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"en", "applyUrl" : "https://jobs.lever.co/jobgether/057d728b-eda3-463c-8b06-7fd2a2be6347/apply", "externalId" : "057d728b-eda3-463c-8b06-7fd2a2be6347", "industryFunction" : { }, "structuredLocations" : [ { "country" : "United States", "continent" : "na", "workMode" : "remote" } ], "locationText" : "United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 10, "experienceLevel" : "Director", "professionalSkills" : [ "Risk management", "Compliance oversight", "Data analysis", "Executive reporting", "Third-party risk management", "Due diligence", "Sanctions screening", "Root cause analysis", "Gap assessments", "Remediation tracking" ], "hardSkillsList" : [ "Behavioral analytics", "Data interpretation", "Monitoring reports", "Dashboards", "Field interactions", "Advisory boards", "Speaker programs", "Background checks", "Data integrity", "Traceability", "Governance", "Compliance investigations", "Digital engagement", "AI-driven processes", "Data privacy", "Trade compliance" ], "softSkillsList" : [ "Leadership" ], "hardSkills" : [ { "name" : "Behavioral analytics", "level" : "intermediate" }, { "name" : "Data interpretation", "level" : "intermediate" }, { "name" : "Monitoring reports", "level" : "intermediate" }, { "name" : "Dashboards", "level" : "intermediate" }, { "name" : "Field interactions", "level" : "intermediate" }, { "name" : "Advisory boards", "level" : "intermediate" }, { "name" : "Speaker programs", "level" : "intermediate" }, { "name" : "Background checks", "level" : "intermediate" }, { "name" : "Data integrity", "level" : "intermediate" }, { "name" : "Traceability", "level" : "intermediate" }, { "name" : "Governance", "level" : "intermediate" }, { "name" : "Compliance investigations", "level" : "intermediate" }, { "name" : "Digital engagement", "level" : "intermediate" }, { "name" : "AI-driven processes", "level" : "intermediate" }, { "name" : "Data privacy", "level" : "intermediate" }, { "name" : "Trade compliance", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" } ], "majorSkills" : "Risk Assessment, Compliance Monitoring, Data Analytics, AI/ML", "majorSkillsList" : [ "Risk Assessment", "Compliance Monitoring", "Data Analytics", "AI/ML" ], "coreResponsibilities" : "Design and implement RAMP framework, Collect, analyze, and interpret global compliance data, Detect risk patterns, control gaps, fraud indicators, and, Translate findings into actionable executive-level insights, Develop and enhance a dynamic compliance monitoring framework, Build and deliver high-quality monitoring reports and dashboards, Lead or support live monitoring activities, Oversee third-party risk management processes, Ensure data integrity, traceability, and governance, Serve as the primary compliance liaison for Internal, Support planning, testing, documentation review, and remediation actions, Contribute to compliance investigations, Identify and assess emerging risk areas, Support gap assessments and remediation tracking", "teamCollaboration" : "Collaboration with Internal Audit; Collaboration with functional teams; Collaboration with Quality; Collaboration with Finance; Collaboration with external partners; Cross-functional collaboration; Stakeholders across Legal; Stakeholders across Commercial; Stakeholders across Medical; Stakeholders across Finance; Stakeholders across Audit", "domainKnowledge" : "Life sciences compliance; Regulatory requirements; Anti-bribery; Anti-corruption; Global compliance frameworks; Industry best practices; Digital engagement; AI-driven processes; Data privacy; Trade compliance", "domainList" : [ "life-sciences-compliance", "regulatory-requirements", "anti-bribery", "anti-corruption", "global-compliance-frameworks", "industry-best-practices", "digital-engagement", "ai-driven-processes", "data-privacy", "trade-compliance" ], "domainSpecificKnowledge" : [ "Life sciences compliance", "Regulatory requirements", "Anti-bribery", "Anti-corruption", "Global compliance frameworks", "Industry best practices", "Digital engagement", "AI-driven processes", "Data privacy", "Trade compliance" ], "communicationSkills" : "Executive reporting; Presentation capabilities", "documentationSkills" : "Documentation review", "problemSolvingSkills" : "Root cause analysis", "specialRequirements" : "Travel approximately 20%", "qualificationsBasic" : "Bachelor’s or Master’s degree, 10+ years of experience, Expertise in risk assessment and monitoring frameworks, Deep understanding of global life sciences compliance frameworks, Analytical skills, Ability to translate complex datasets, Proven experience supporting internal audits, Cross-functional collaboration skills, Excellent written and verbal communication skills, Demonstrated ability to work independently, Experience driving innovation", "qualificationsPreferred" : "Incorporating data analytics, AI, or machine learning, Pharmaceutical or biotech industry experience", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "## Accountabilities Design and implement an advanced Risk Assessment and Mitigation Plan (RAMP) framework leveraging AI, machine learning, behavioral analytics, and data-driven insights to proactively identify emerging compliance risks. Collect, analyze, and interpret global compliance data to detect risk patterns, control gaps, fraud indicators, and non-compliance trends, translating findings into actionable executive-level insights. Develop and enhance a dynamic compliance monitoring framework in collaboration with Internal Audit and other functional teams, including Quality, Finance, and external partners. Build and deliver high-quality monitoring reports and dashboards, including executive summaries, root cause analyses, and actionable recommendations for risk mitigation. Lead or support live monitoring activities such as field interactions, advisory boards, and speaker programs to ensure adherence to internal policies and regulatory requirements. Oversee third-party risk management processes, including anti-bribery/anti-corruption due diligence, sanctions screening, and background checks. Ensure data integrity, traceability, and governance across all risk assessment and monitoring activities. Serve as the primary compliance liaison for Internal Audit, supporting planning, testing, documentation review, and remediation actions. Contribute to compliance investigations, including root cause analysis and reporting outcomes. Identify and assess emerging risk areas such as digital engagement, AI-driven processes, data privacy, and trade compliance. Support gap assessments and remediation tracking to ensure consistent execution of risk and compliance actions across the organization. Requirements: Bachelor’s or Master’s degree in Life Sciences, Business, Data Science, Law, or a related field. 10+ years of experience in compliance, risk management, audit, or related roles within the pharmaceutical or biotech industry. Strong expertise in designing and implementing risk assessment and monitoring frameworks, ideally incorporating data analytics, AI, or machine learning. Deep understanding of global life sciences compliance frameworks, regulatory expectations, and industry best practices. Strong analytical skills with experience building dashboards, reporting tools, and compliance monitoring systems. Ability to translate complex datasets and regulatory signals into clear, actionable business insights. Proven experience supporting internal audits, inspections, and remediation activities. Strong cross-functional collaboration skills with the ability to influence stakeholders across Legal, Commercial, Medical, Finance, and Audit functions. Excellent written and verbal communication skills, including executive reporting and presentation capabilities. Demonstrated ability to work independently, prioritize effectively, and manage multiple complex initiatives. Experience driving innovation and change within compliance or risk management functions. Willingness to travel approximately 20% as required. Benefits: Competitive base salary range of $172,000 – $236,500, plus eligibility for short- and long-term incentive programs. Comprehensive health coverage including medical, dental, and vision insurance. Retirement savings plan with employer contributions. Life, disability, and additional voluntary insurance benefits. Generous paid time off and flexible work arrangements (remote eligible). Opportunity to shape next-generation, AI-enabled compliance and risk monitoring systems. High-impact leadership role with strong cross-functional visibility and executive exposure. Work within a global, innovation-driven biotech environment focused on ethical growth and patient impact. ## Additional Information How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Why Apply Through Jobgether? Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. #LI-CL1", "summaryDescription" : "Associate Director, Ethics & Compliance - Risk Assessment and Monitoring. Skills: Risk Assessment, Compliance Monitoring, Data Analytics, AI/ML. Design and implement RAMP framework. Collect, analyze, and interpret global compliance data", "postedDate" : "2026-06-15T10:21:26.440", "createdAt" : "2026-06-15T10:21:26.440", "lastUpdated" : "2026-06-16T11:46:58.941", "ingestTimestamp" : "2026-06-16T03:20:44.837", "mongoId" : "6a305117f292fd229cef961f", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 175000, "salaryAnnualMax" : 250000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Behavioral analytics", "Data interpretation", "Monitoring reports", "Dashboards", "Field interactions", "Advisory boards", "Speaker programs", "Background checks", "Data integrity", "Traceability", "Governance", "Compliance investigations", "Digital engagement", "AI-driven processes", "Data privacy", "Trade compliance", "Leadership", "Risk Assessment", "Compliance Monitoring", "Data Analytics", "AI/ML", "Risk management", "Compliance oversight", "Data analysis", "Executive reporting", "Third-party risk management", "Due diligence", "Sanctions screening", "Root cause analysis", "Gap assessments", "Remediation tracking", "Life sciences compliance", "Regulatory requirements", "Anti-bribery", "Anti-corruption", "Global compliance frameworks", "Industry best practices" ], "skillCount" : 37, "jobCategory" : "operations", "jobSubcategory" : "legal", "seniorityLevel" : "Director", "dataQualityScore" : 0.8888889, "_score" : 1026.0494, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Biotech", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2ca5e274d8ee00a09b8771", "title" : "Director of Analytics", "company" : "Collective Health", "industry" : "Healthcare", "salary" : { "min" : 200000.0, "max" : 250000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "San Francisco, California, United States", "locations" : [ "San Francisco", "California", "United States" ], "timestamp" : "2026-06-15T07:17:58.865", "fingerprint" : "e063e73d7bd833010aa94c5c5ae49671e34f6fd2268ea059b019998fbd3e9117", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://jobs.collectivehealth.com/apply/?gh_jid=7994891", "externalId" : "7994891", "industryFunction" : { }, "structuredLocations" : [ { "city" : "San Francisco", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "37.7879363,-122.4075201" } ], "locationText" : "San Francisco, California, United States", "employmentType" : "FULL_TIME", "experienceLevel" : "Director", "technicalSkills" : "SQL, Dbt, Looker, Snowflake, Databricks, BigQuery, Airflow, LLMs, RAG architecture, Generative AI", "professionalSkills" : [ "Strategic leadership", "Client reporting", "Analytics strategy", "Roadmap development", "Data analysis", "AI-informed analytics", "Data management", "Claims processing", "Team leadership", "Stakeholder management", "Cross-functional partnership", "Strategic thinking", "Hands-on execution" ], "hardSkillsList" : [ "Healthcare data expertise", "Claims adjudication accuracy", "Payment integrity", "Data modelling", "Statistical analysis" ], "softSkillsList" : [ "Leadership" ], "hardSkills" : [ { "name" : "Healthcare data expertise", "level" : "intermediate" }, { "name" : "Claims adjudication accuracy", "level" : "intermediate" }, { "name" : "Payment integrity", "level" : "intermediate" }, { "name" : "Data modelling", "level" : "intermediate" }, { "name" : "Statistical analysis", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" } ], "majorSkills" : "Analytics strategy, Client reporting, AI-informed analytics, Data management", "majorSkillsList" : [ "Analytics strategy", "Client reporting", "AI-informed analytics", "Data management" ], "coreResponsibilities" : "Own analytics strategy and roadmap, Build reporting infrastructure, Deliver automated reporting infrastructure, Align analytics initiatives with business priorities, Serve as analytics representative in client conversations, Oversee analysis of claims data, Oversee analysis of member data, Oversee analysis of benefits data, Surface trends and inefficiencies, Surface opportunities for cost savings, Surface opportunities for process improvement, Shift analytics function to proactive, Surface insights informing product strategy, Surface insights informing CS strategy, Surface insights informing executive decision-making, Improve claims adjudication accuracy, Reduce denials, Enhance payment integrity, Drive AI-informed analytics, Leverage LLMs for insights, Leverage RAG architecture for insights, Leverage generative AI tools for insights, Deliver smarter insights, Deliver faster insights", "teamCollaboration" : "Partner with Customer Success; Partner with Customer Experience; Partner with Data Engineering; Partner with senior leadership; Partner with Product; Partner with Operations; Partner with Engineering; Client conversations; Client QBRs; Client escalations", "projectManagementSkills" : [ "Roadmap planning", "Dependency management" ], "domainKnowledge" : "Healthcare data; Claims processing; Value-based care; Population health; Machine learning models; Predictive analytics", "domainList" : [ "healthcare-data", "claims-processing", "value-based-care", "population-health", "machine-learning-models", "predictive-analytics" ], "domainSpecificKnowledge" : [ "Healthcare data", "Claims processing", "Value-based care", "Population health", "Machine learning models", "Predictive analytics" ], "toolProficiency" : [ "Looker", "SQL", "Dbt", "Snowflake", "Databricks", "BigQuery", "Airflow", "Google Vertex", "OpenAI" ], "communicationSkills" : "Client presentations; Executive presentations", "innovationCreativity" : "AI-informed analytics; Generative AI tools", "problemSolvingSkills" : "Root cause analysis; Data-driven decision making", "outcomesObjectives" : "Deliver automated, scalable reporting infrastructure; Improve claims adjudication accuracy; Reduce denials; Enhance payment integrity; Deliver smarter, faster insights at scale", "qualificationsBasic" : "10+ years in healthcare analytics, 3+ years in claims processing analytics, 3+ years leading analytics teams, Proven transformation experience, Technical fluency in modern data stack, AI / ML literacy, Client-facing experience, Startup operating experience, People leadership depth, Bachelor's degree in quantitative field", "qualificationsPreferred" : "Master's preferred, Experience with value-based care analytics, Experience with population health, Exposure to machine learning models, Familiarity with data observability tooling", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "At Collective Health, we’re transforming how employers and their people engage with their health benefits by seamlessly integrating cutting-edge technology, compassionate service, and world-class user experience design. About the Role We are looking for a Director of Analytics to lead our healthcare analytics function through a pivotal transformation. This is not a steady-state management role — we are modernizing our client reporting infrastructure from the ground up, and you will own that mandate from vision to delivery. You will lead a team of analysts, partner closely with Customer Success, Customer Experience, and Data Engineering, and serve as the primary analytics thought partner to our internal and external stakeholders — including direct engagement with clients. The right person brings deep healthcare data expertise, a builder's mindset, and the credibility to earn trust with both technical teams and business partners quickly. This role sits at the center of how Collective Health uses data to serve its clients. Done well, it changes how our clients experience their benefits — and how our internal teams make decisions. What you’ll do: Strategic Leadership Own the analytics strategy and roadmap — not just maintain it; build it from a clear-eyed assessment of current state and a sharp view of where the function needs to go Lead Client Reporting 2.0: audit what exists, design a modern replacement, and deliver an automated, scalable reporting infrastructure that clients trust and CS can stand behind Collaborate with senior leadership across Product, Operations, Engineering, Customer Success, and Customer Experience to align analytics initiatives with business priorities Serve as a direct partner and analytics representative in client conversations, QBRs, and escalations — alongside CS, not behind them Analytics Oversee end-to-end analysis of claims, member, and benefits data to surface trends, inefficiencies, and opportunities for cost savings or process improvement Shift the analytics function from reactive (answering requests) to proactive — surfacing insights that inform product, CS strategy, and executive decision-making before someone has to ask Lead initiatives to improve claims adjudication accuracy, reduce denials, and enhance payment integrity Drive AI-informed analytics — leveraging LLMs, RAG architecture, and generative AI tools to deliver smarter, faster insights at scale Data Management this is required, not preferred 10+ years in healthcare analytics with 3+ years in claims processing analytics and 3+ years leading analytics teams Proven transformation experience — has modernized or built an analytics function from scratch, not just managed inherited infrastructure Technical fluency in the modern data stack — Looker (or equivalent BI platform), SQL, dbt, cloud data warehouse (Snowflake, Databricks, or BigQuery), orchestration tooling (Airflow or equivalent) AI / ML literacy — working familiarity with LLMs, RAG architecture, and generative AI tools (Google Vertex, OpenAI, or equivalent); able to guide the team on applied AI use cases without needing to build models personally Client-facing experience — comfortable presenting data to non-technical external audiences, navigating client escalations, and representing analytics in high-stakes conversations Startup operating experience — has worked in a fast-moving, high-ambiguity environment; understands that speed, responsiveness, and ownership look different at a startup than at a large enterprise People leadership depth — has hired, developed, and when necessary managed out; gives direct feedback and does not let performance issues linger Bachelor's degree in a quantitative field (Statistics, Health Informatics, Computer Science, Actuarial Science, or similar); Master's preferred but not required Preferred: Experience with value-based care analytics or population health Exposure to machine learning models and predictive analytics in a healthcare setting Familiarity with data observability tooling (Monte Carlo, Great Expectations, or equivalent) Experience with master data management and data architecture at scale Key Competencies Delivery Accountability — owns a roadmap, manages dependencies, ships without needing constant oversight Strategic thinking paired with hands-on execution — knows when to lead from the front Strong communication across technical and non-technical audiences, including clients and executive leadership Healthcare domain credibility — earns trust quickly with CS, CX, and clients because they know the space Cross-functional partnership — builds relationships, influences without authority, and navigates competing priorities with grace Pay Transparency Statement This is a hybrid position based out of our San Francisco office, with the expectation of being in office at least two weekdays per week.#LI-hybrid The actual pay rate offered within the range will depend on factors including geographic location, qualifications, experience, and internal equity. In addition to the salary, you will be eligible for 550,000 stock options and benefits like health insurance, 401k, and paid time off. Learn more about our benefits at https://jobs.collectivehealth.com/benefits/. San Francisco, CA Pay Range $200,000—$250,000 USD Why Join Us? Mission-driven culture that values innovation, collaboration, and a commitment to excellence in healthcare Impactful projects that shape the future of our organization Opportunities for professional development through internal mobility opportunities, mentorship programs, and courses tailored to your interests Flexible work arrangements and a supportive work-life balance We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. Collective Health is committed to providing support to candidates who require reasonable accommodation during the interview process. If you need assistance, please contact recruiting-accommodations@collectivehealth.com. Privacy Notice For more information about why we need your data and how we use it, please see our privacy policy: https://collectivehealth.com/privacy-policy/.", "summaryDescription" : "Director of Analytics at Collective Health. Skills: Analytics strategy, Client reporting, AI-informed analytics, Data management. Own analytics strategy and roadmap. Build reporting infrastructure", "postedDate" : "2026-06-14T05:22:43.585", "createdAt" : "2026-06-14T05:22:43.585", "lastUpdated" : "2026-06-15T07:17:58.865", "ingestTimestamp" : "2026-06-14T05:22:43.585", "mongoId" : "6a2ca5e274d8ee00a09b8771", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 200000, "salaryAnnualMax" : 250000, "salaryBand" : "200k+", "hasSalary" : true, "allSkills" : [ "Healthcare data expertise", "Claims adjudication accuracy", "Payment integrity", "Data modelling", "Statistical analysis", "Leadership", "Analytics strategy", "Client reporting", "AI-informed analytics", "Data management", "Strategic leadership", "Roadmap development", "Data analysis", "Claims processing", "Team leadership", "Stakeholder management", "Cross-functional partnership", "Strategic thinking", "Hands-on execution", "Roadmap planning", "Dependency management", "Healthcare data", "Value-based care", "Population health", "Machine learning models", "Predictive analytics", "Looker", "SQL", "Dbt", "Snowflake", "Databricks", "BigQuery", "Airflow", "Google Vertex", "OpenAI" ], "skillCount" : 35, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Director", "dataQualityScore" : 1.0, "_score" : 1022.0103, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.98 }, { "id" : "6a305b76f292fd229cf5e059", "title" : "Associate Director, Information Security Risk", "company" : "EQT Group", "industry" : "FinTech", "salary" : { "min" : 360000.0, "max" : 540000.0, "currency" : "PLN", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for an Associate Director, Information Security Risk in Financial Services in Warsaw, Poland, adjusted for director-level seniority and full-time employment." }, "location" : "Warszawa, Masovian Voivodeship, Poland", "locations" : [ "Warszawa", "Masovian Voivodeship", "Poland" ], "certifications" : [ "CISM", "CRISC", "CISSP" ], "timestamp" : "2026-06-16T08:06:33.159", "fingerprint" : "952a1d4d8a31c3e333437b382c388dfa4b1e6fbad80af07de3bcbf4abb568f95", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.eu.greenhouse.io/eqtpartners/jobs/4897613101", "externalId" : "4897613101", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Warszawa", "state" : "Masovian Voivodeship", "country" : "Poland", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "52.2333742,21.0711489" } ], "locationText" : "Warszawa, Masovian Voivodeship, Poland", "experienceMinYears" : 10, "experienceLevel" : "Director", "technicalSkills" : "DORA, NIS2, ISO 27001, NIST", "professionalSkills" : [ "Risk assessment", "Control design", "Governance design" ], "hardSkillsList" : [ "Information security risk", "Cybersecurity governance", "Technology risk", "Security controls", "Vendor risk assessments", "Incident response", "Cybersecurity technologies", "Cybersecurity architectures", "Cybersecurity solutions" ], "hardSkills" : [ { "name" : "Information security risk", "level" : "intermediate" }, { "name" : "Cybersecurity governance", "level" : "intermediate" }, { "name" : "Technology risk", "level" : "intermediate" }, { "name" : "Security controls", "level" : "intermediate" }, { "name" : "Vendor risk assessments", "level" : "intermediate" }, { "name" : "Incident response", "level" : "intermediate" }, { "name" : "Cybersecurity technologies", "level" : "intermediate" }, { "name" : "Cybersecurity architectures", "level" : "intermediate" }, { "name" : "Cybersecurity solutions", "level" : "intermediate" } ], "majorSkills" : "Information security risk, Cybersecurity governance, Regulatory frameworks", "majorSkillsList" : [ "Information security risk", "Cybersecurity governance", "Regulatory frameworks" ], "coreResponsibilities" : "Identify security risks, Assess security risks, Track security risks, Escalate material issues, Design security controls, Implement security controls, Draft information security policies, Maintain information security policies, Enforce information security policies, Lead implementation regulatory frameworks, Monitor emerging obligations, Oversee information security component, Define vendor security requirements, Track remediation identified gaps, Coordinate response activities, Ensure governance obligations met, Lead post-incident reviews, Produce board-ready reporting, Produce risk appetite dashboards, Produce briefing materials", "teamCollaboration" : "Across global footprint; Across functions; With CISO; With governance forums; With Technology teams", "domainKnowledge" : "Regulated financial services; Cross-border regulatory dynamics; Third-party vendor risk; Critical outsourcing; Cyber incident response; Information security policies; Security risk frameworks; Technology risk; Asset management; Private equity; Banking; Financial services", "domainList" : [ "regulated-financial-services", "cross-border-regulatory-dynamics", "third-party-vendor-risk", "critical-outsourcing", "cyber-incident-response", "information-security-policies", "security-risk-frameworks", "technology-risk", "asset-management", "private-equity", "banking", "financial-services" ], "domainSpecificKnowledge" : [ "Regulated financial services", "Cross-border regulatory dynamics", "Third-party vendor risk", "Critical outsourcing", "Cyber incident response", "Information security policies", "Security risk frameworks", "Technology risk", "Asset management", "Private equity", "Banking", "Financial services" ], "communicationSkills" : "Board-ready reporting; Risk appetite dashboards; Briefing materials; Senior audiences; Board-level audiences", "qualificationsBasic" : "10 years information security risk, 10 years cybersecurity governance, 10 years technology risk, Build security risk frameworks, Operate security risk frameworks, Implement regulatory frameworks, Lead third-party vendor risk assessments, Solid background incident response, Advise technology teams, Credibly challenge technology teams, Distil technical topics, Distil risk topics", "qualificationsPreferred" : "CISM, CRISC, CISSP, Experience international team, Experience matrix organisation, Familiarity digital tools, Familiarity workflow automation, Exposure data governance obligations, Contribute board reporting, Contribute senior governance reporting", "rawDescription" : "EQT is looking for an Associate Director, Information Security Risk to serve as the firm's subject matter expert on information security risk — translating complex cybersecurity and technology risk into clear governance frameworks and actionable business outcomes. This is a senior individual contributor role sitting within the CISO function, reporting directly to the CISO, and operating across a global, regulated financial services environment. About the Team Risk, Regulatory, Compliance identify, assess and track security risks across the firm and escalate material issues to the CISO and relevant governance forums. Design and implement pragmatic, proportionate security controls that balance risk reduction with business agility. Draft, maintain and enforce information security policies, standards and procedures aligned to regulatory requirements and industry best practice. Lead implementation of applicable regulatory frameworks across EQT's global footprint (including DORA, NIS2, ISO 27001 and NIST) and monitor the horizon for emerging obligations. Oversee the information security component of third-party vendor risk reviews, including critical outsourcing assessments; define vendor security requirements and track remediation of identified gaps. Play a central role in EQT's cyber incident response capability — coordinating response activities, ensuring governance obligations are met, and leading post-incident reviews. Produce high-quality, board-ready reporting, risk appetite dashboards and briefing materials for senior management and governance committees. About You You are a seasoned information security risk professional with a commercial mindset and a talent for making complex risk topics accessible to senior audiences. You build trust across functions naturally, hold your ground on risk positions constructively, and bring genuine intellectual rigour to governance and control design. What you'll bring (must-have): Around 10 years of experience in information security risk, cybersecurity governance, or technology risk within asset management, private equity, banking or financial services. Proven track record building and operating security risk and control frameworks in a regulated financial services environment. Hands-on experience implementing regulatory frameworks such as DORA, NIS2, ISO 27001 or NIST, with solid understanding of cross-border regulatory dynamics. Demonstrated experience leading third-party vendor risk assessments, including outsourcing and critical supplier reviews. Solid background in incident response, from operational coordination through to governance reporting and lessons learned. Deep working knowledge of cybersecurity technologies, architectures and solutions, sufficient to advise and credibly challenge Technology teams. Strong communication skills with the ability to distil complex technical and risk topics into concise, impactful materials for senior and board-level audiences. Nice to have: Relevant professional qualifications such as CISM, CRISC or CISSP. Experience working within an international team or matrix organisation. Familiarity with digital tools and workflow automation that enhance team efficiency and risk reporting. Exposure to data governance obligations and their intersection with information security risk. Prior experience contributing to board or senior governance committee reporting in a financial services context. What We Offer At EQT, you will join a global firm that operates at the intersection of technology, finance and impact. You will have direct access to senior leadership, meaningful scope to shape how information security risk is governed at a complex, internationally active firm, and the opportunity to work alongside colleagues who hold themselves and each other to a high standard. EQT supports continuous professional development and values diverse perspectives as a driver of better outcomes. Compensation We understand and believe that being a great place to work drives the best performance.At EQT, inclusion is a business imperative and it's embedded into our talent strategy, decision-making, and culture to ensure that every individual and team operates at their full potential. By doing so, we unlock better collaboration, stronger innovation, and superior investment outcomes. About EQT EQT is a purpose-driven global investment organization focused on active ownership strategies. With a Nordic heritage and a global mindset, EQT has a track record of over three decades of developing companies across multiple geographies, sectors and strategies. EQT has investment strategies covering all phases of a business’ development, from start-up to maturity. EQT has EUR ‌270 billion in total assets under management (EUR ‌‌141 billion in fee-generating assets under management), within two business segments – Private Capital and Real Assets. With its roots in the Wallenberg family’s entrepreneurial mindset and philosophy of long-term ownership, EQT is guided by a set of strong values and a distinct corporate culture. EQT manages and advises funds and vehicles that invest across the world with the mission to future-proof companies, generate attractive returns and make a positive impact with everything EQT does. EQT has offices in more than 25 countries across Europe, Asia and the Americas and has more than 1,900 employees. More info: www.eqtgroup.com Follow EQT on LinkedIn, X, YouTube and Instagram", "summaryDescription" : "Associate Director, Information Security Risk at EQT Group. Skills: Information security risk, Cybersecurity governance, Regulatory frameworks. Identify security risks. Assess security risks", "postedDate" : "2026-06-15T23:23:26.048", "createdAt" : "2026-06-15T23:23:26.048", "lastUpdated" : "2026-06-16T08:06:33.159", "ingestTimestamp" : "2026-06-15T23:23:26.048", "mongoId" : "6a305b76f292fd229cf5e059", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Information security risk", "Cybersecurity governance", "Technology risk", "Security controls", "Vendor risk assessments", "Incident response", "Cybersecurity technologies", "Cybersecurity architectures", "Cybersecurity solutions", "Regulatory frameworks", "Risk assessment", "Control design", "Governance design", "Regulated financial services", "Cross-border regulatory dynamics", "Third-party vendor risk", "Critical outsourcing", "Cyber incident response", "Information security policies", "Security risk frameworks", "Asset management", "Private equity", "Banking", "Financial services", "CISM", "CRISC", "CISSP" ], "skillCount" : 27, "jobCategory" : "finance", "jobSubcategory" : "accounting", "seniorityLevel" : "Director", "dataQualityScore" : 0.8888889, "_score" : 1012.6048, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Financial Services", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2c6b6174d8ee00a0911fc7", "title" : "Director of People Technology, Data & Operations", "company" : "Cadence Solutions", "industry" : "Healthcare", "salary" : { "min" : 200000.0, "max" : 300000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "United States", "locations" : [ "United States" ], "timestamp" : "2026-06-16T06:22:18.830", "fingerprint" : "e74ff96f1f4009b9d19fe36e34b4813658fd6e958ba4683437460b4e1eb3a144", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/solutions/jobs/4678885006", "externalId" : "4678885006", "industryFunction" : { }, "structuredLocations" : [ { "country" : "United States", "continent" : "na", "workMode" : "remote" } ], "locationText" : "United States", "employmentType" : "FULL_TIME", "experienceLevel" : "Director", "professionalSkills" : [ "People Operations", "HR Technology", "People Data", "System implementation", "Process design", "Workforce analytics", "Data integration", "AI adoption", "Operational compliance", "Cross-functional alignment" ], "hardSkillsList" : [ "HRIS implementation", "Service desk deployment", "Data pipelines", "Workforce reporting", "Background checks", "Right-to-work verification", "Regulatory data collection", "U.S. workforce reporting" ], "softSkillsList" : [ "Leadership" ], "hardSkills" : [ { "name" : "HRIS implementation", "level" : "intermediate" }, { "name" : "Service desk deployment", "level" : "intermediate" }, { "name" : "Data pipelines", "level" : "intermediate" }, { "name" : "Workforce reporting", "level" : "intermediate" }, { "name" : "Background checks", "level" : "intermediate" }, { "name" : "Right-to-work verification", "level" : "intermediate" }, { "name" : "Regulatory data collection", "level" : "intermediate" }, { "name" : "U.S. workforce reporting", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" } ], "majorSkills" : "People Technology, People Operations, People Data, AI Adoption", "majorSkillsList" : [ "People Technology", "People Operations", "People Data", "AI Adoption" ], "coreResponsibilities" : "Own People technology stack, Implement HRIS, Deploy AI service desk, Manage platform governance, Manage platform integration, Manage platform access, Design scalable workflows, Document scalable workflows, Operationalize scalable workflows, Manage recruiting operations, Manage offer management, Manage onboarding, Manage job changes, Manage compensation changes, Manage offboarding, Build People data foundation, Develop dashboards, Develop automated pipelines, Develop workforce analytics, Integrate People data with Finance, Integrate People data with BI, Integrate People data with analytics platforms, Support headcount planning, Support operational scaling, Support executive decision-making, Drive AI adoption, Identify AI tool use cases, Establish audit readiness, Establish operational compliance, Partner with Talent Acquisition, Partner with Legal, Partner with Finance", "teamCollaboration" : "Work with Finance; Work with Legal; Work with Business Intelligence; Partner with Talent Acquisition; Partner with Legal; Partner with Finance", "projectManagementSkills" : [ "Multi-workstream programs" ], "domainKnowledge" : "Clinical AI; Medicare seniors; Chronic disease; Health system EMRs; Clinical Intelligence platform; AI agents; Clinical decision-making; People function scaling; Workforce intelligence; Operational clarity; Employee lifecycle; Compliance requirements; High-growth technology; Remote environments; High-autonomy environments; Structured workflows", "domainList" : [ "clinical-ai", "medicare-seniors", "chronic-disease", "health-system-emrs", "clinical-intelligence-platform", "ai-agents", "clinical-decision-making", "people-function-scaling", "workforce-intelligence", "operational-clarity", "employee-lifecycle", "compliance-requirements", "high-growth-technology", "remote-environments", "high-autonomy-environments", "structured-workflows" ], "domainSpecificKnowledge" : [ "Clinical AI", "Medicare seniors", "Chronic disease", "Health system EMRs", "Clinical Intelligence platform", "AI agents", "Clinical decision-making", "People function scaling", "Workforce intelligence", "Operational clarity", "Employee lifecycle", "Compliance requirements", "High-growth technology", "Remote environments", "High-autonomy environments", "Structured workflows" ], "toolProficiency" : [ "Gemini", "Notion AI" ], "documentationSkills" : "Process documentation", "problemSolvingSkills" : "Analytical skills", "outcomesObjectives" : "Deliver margin improvement; Deliver operational clarity", "qualificationsBasic" : "10+ years People Operations experience, 10+ years HR Technology experience, 10+ years People data experience, Experience implementing HRIS platforms, Experience managing HR technology ecosystems, Experience designing scalable HR operations, Experience building workforce analytics dashboards, Experience building reporting pipelines, Experience driving cross-functional alignment, Experience building remote environments, Experience operating in high-autonomy environments, Fluency with AI productivity tools", "qualificationsPreferred" : "Experience integrating with Finance systems, Experience integrating with BI systems", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "Sixty million Medicare seniors live with chronic disease. The care system sees most of them twice a year. Cadence is building the infrastructure to support them every day. Cadence is a clinical AI company that delivers continuous, proactive care for older adults with chronic conditions like hypertension, heart failure, and diabetes. We pair patients with a dedicated clinical team, integrate deeply into health system EMRs and workflows, and use our Clinical Intelligence platform to monitor vitals, surface risk early, optimize medications, and close care gaps between visits. The result: patients engage with care 100x more than before Cadence, clinicians focus on judgment instead of administrative work, and Medicare saves $2M a week. We operate as a full clinical care delivery organization, not a software vendor. Our clinicians work alongside health system partners, extending the reach of local primary care providers into patients' homes. We're now applying AI agents across these workflows – from alert review and medication titration to lifestyle coaching and care coordination – with clinicians always in control of clinical decisions. The Role We're hiring a Director of People Technology, Data & Operations to build and own the operational infrastructure that scales Cadence's People function alongside the company. This is a strategic and deeply hands-on role. You will own the People technology ecosystem, design and systematize end-to-end people operations processes, and build the data and reporting foundation that connects workforce intelligence to Finance and company-wide business decisions. You will report to People leadership and work closely with Finance, Legal, and Business Intelligence to ensure the People function delivers margin improvement and operational clarity - not just administrative support. What You'll Do Own the full People technology stack - including HRIS implementation, AI-powered service desk deployment, and ongoing governance, integration, and access management across all platforms. Design, document, and operationalize scalable workflows and SOPs across the full employee lifecycle: recruiting operations, offer management, onboarding, job and compensation changes, and offboarding. Build the People data and reporting foundation - developing dashboards, automated pipelines, and workforce analytics that give People leadership, Finance, and executives clear, actionable insight into hiring, retention, and compensation. Integrate People data with Finance, Business Intelligence, and company-wide analytics platforms to support headcount planning, operational scaling, and executive decision-making. Drive significant AI adoption across the People function and the broader business - identifying where AI tools reduce manual work, increase throughput, and raise the bar on operational quality. Establish audit readiness and operational compliance across background checks, right-to-work verification, regulatory data collection, and required U. S. workforce reporting. Partner with Talent Acquisition, Legal, and Finance to align People systems and programs with company growth objectives and compliance requirements. What You Need 10+ years of progressive experience across People Operations, HR Technology, and People data in high-growth technology companies. Demonstrated experience implementing and managing HRIS platforms and end-to-end People technology ecosystems. Experience designing scalable HR operations including workflows, SOPs, service delivery models, and compliance frameworks. Strong analytical skills and a track record of building workforce analytics dashboards and reporting pipelines integrated with Finance or BI systems. Proven ability to drive cross-functional alignment across Finance, Legal, and executive stakeholders on people programs and systems decisions. Experience building and operating in a fully remote, high-autonomy environment with accountability for outcomes across complex, multi-workstream programs. Fluency with AI productivity tools (such as Gemini, Notion AI, or comparable platforms) and comfort applying them to structured workflows, reporting, and process documentation. Compensation Our job titles may span more than one career level. The base salary for this role typically ranges between $200,000 - $300,000, depending on experience, skills, seniority, and business needs. In addition to base salary, this role is eligible for equity as part of the total compensation package. Actual compensation may vary by location. Benefits & Perks Competitive pay & equity* Fully remote Comprehensive health coverage: Medical, dental & vision Paid time off 401k plan + matching Paid parental leave Home office stipend *benefit offerings may vary depending on job profile, job level and worker type Cadence is committed to equal opportunity and fairness regardless of race, color, religion, sex, gender identity, sexual orientation, nation of origin, ancestry, age, physical or mental disability, country of citizenship, medical condition, marital or domestic partner status, family status, family care status, military or veteran status or any other basis protected by local, state or federal laws. A notice to Cadence applicants: Our Talent team only directs candidates to apply through our official careers page at https://www.cadence.care/our-team. Cadence will never refer you to external websites, ask for payment or personal information, or conduct interviews via messaging apps. We receive all applications through our website and anyone suggesting otherwise is not with Cadence. If you require a reasonable accommodation during the interview or hiring process, please notify your recruiter.", "summaryDescription" : "Director of People Technology, Data & Operations at Cadence Solutions. Skills: People Technology, People Operations, People Data, AI Adoption. Own People technology stack. Implement HRIS", "postedDate" : "2026-06-14T20:08:35.142", "createdAt" : "2026-06-14T20:08:35.142", "lastUpdated" : "2026-06-16T06:22:18.830", "ingestTimestamp" : "2026-06-14T20:08:35.142", "mongoId" : "6a2c6b6174d8ee00a0911fc7", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 200000, "salaryAnnualMax" : 300000, "salaryBand" : "200k+", "hasSalary" : true, "allSkills" : [ "HRIS implementation", "Service desk deployment", "Data pipelines", "Workforce reporting", "Background checks", "Right-to-work verification", "Regulatory data collection", "U.S. workforce reporting", "Leadership", "People Technology", "People Operations", "People Data", "AI Adoption", "HR Technology", "System implementation", "Process design", "Workforce analytics", "Data integration", "AI adoption", "Operational compliance", "Cross-functional alignment", "Multi-workstream programs", "Clinical AI", "Medicare seniors", "Chronic disease", "Health system EMRs", "Clinical Intelligence platform", "AI agents", "Clinical decision-making", "People function scaling", "Workforce intelligence", "Operational clarity", "Employee lifecycle", "Compliance requirements", "High-growth technology", "Remote environments", "High-autonomy environments", "Structured workflows", "Gemini", "Notion AI" ], "skillCount" : 40, "jobCategory" : "operations", "jobSubcategory" : "hr", "seniorityLevel" : "Director", "dataQualityScore" : 1.0, "_score" : 1001.5584, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.97 }, { "id" : "69c909539bc74574cbb08c5d", "title" : "Associate Director, IIX Technology Platforms", "company" : "IIX Global", "industry" : "Technology", "salary" : { "min" : 1.0E9, "max" : 1.5E9, "currency" : "IDR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for an Associate Director, IIX Technology Platforms in Jakarta, Indonesia, adjusted for director seniority and the finance industry." }, "location" : "Jakarta, ID", "locations" : [ "Jakarta", "ID" ], "timestamp" : "2026-06-16T00:14:09.289", "fingerprint" : "2038528761250dcf1cca8214c553c0b1e23372d45f03882bf6e07838cb679d35", "source" : "breezyhr", "language" : "en", "applyUrl" : "https://iix-global.breezy.hr/p/4e92b5ad6924-associate-director-iix-technology-platforms-indonesia", "externalId" : "4e92b5ad6924", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Jakarta", "country" : "Indonesia", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "-6.1754049,106.8271680" } ], "locationText" : "Jakarta, Indonesia", "employmentType" : "FULL_TIME", "experienceLevel" : "Director", "remoteFriendly" : true, "rawDescription" : "About Impact Investment Exchange (IIX) Impact Investment Exchange (IIX) is a pioneer in impact investing, dedicated to reshaping finance for sustainable development. Over the past 17 years, IIX has built the sustainable investing market through: • Capital Mobilization – Including the Women’s Liveli", "summaryDescription" : "Associate Director, IIX Technology Platforms at IIX Global", "createdAt" : "2026-06-14T18:36:51.186", "lastUpdated" : "2026-06-16T00:14:09.289", "ingestTimestamp" : "2026-06-14T18:36:51.186", "mongoId" : "69c909539bc74574cbb08c5d", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Director", "dataQualityScore" : 0.7777778, "_score" : 989.84717, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Finance", "llmIndustryConfidence" : 0.92 }, { "id" : "6a2cd71e74d8ee00a0a40555", "title" : "Manager, Technology Risk", "company" : "Hinge Health", "industry" : "RnD", "salary" : { "min" : 198000.0, "max" : 250000.0, "currency" : "USD", "frequency" : "Yearly" }, "location" : "San Francisco-HQ", "locations" : [ "San Francisco-HQ" ], "timestamp" : "2026-06-16T01:31:13.738", "fingerprint" : "2be920df9701a35bd6285d13dd86003504205c2d67855861e456f4979f5b50cf", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/hinge-health/af31f0d9-f5b5-492c-aaac-935f3fc8c2a0/application", "externalId" : "af31f0d9-f5b5-492c-aaac-935f3fc8c2a0", "industryFunction" : { }, "structuredLocations" : [ { "city" : "San Francisco", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "37.7879363,-122.4075201" } ], "locationText" : "San Francisco, California, United States", "employmentType" : "FULL_TIME", "experienceLevel" : "Manager", "remoteFriendly" : true, "rawDescription" : "ABOUT THE ROLE The Technology Risk Manager is a senior individual contributor responsible for driving Hinge Health’s technology risk posture across security, infrastructure, and IT. You’ll act as the primary owner for technology risk across multiple teams rather than as a pure advisor. The role has broad exposure to Security , IT, Engineering leadership, and you’re expected to confidently surface risks, drive clear risk evaluations, and collaborate with partners to land practical remediation decisions. You’ll work closely with Application Security, Engineering , Security, and IT to translate technical vulnerabilities into business risk, maintain the Technology Risk Register, and ensure high-quality, timely remediation in a PHI-handling and heavily regulated environment. WHAT YOU’LL DO - Maintain and continuously refine the Technology Risk Register, documenting cyber, operational, and regulatory risks with clear ratings, owners, and mitigation plans. - Track and drive remediation progress across engineering and IT teams, escalating and unblocking as needed to ensure risk treatment plans meet agreed SLAs. - Regulatory Compliance & Governance (SOX & HIPAA). - Serve as a primary interface for internal and external auditors on SOX IT General Controls (ITGC) and related technology control testing, documentation, and evidence collection. - Coordinate and track remediation of SOX ITGC findings, ensuring clear ownership, high-quality corrective actions, and timely closure to prevent control deficiencies and material weaknesses. - Partner with Security, Accounting, Legal/Compliance, and IT to ensure risk and control practices support HIPAA and other healthcare regulatory requirements. - Partner with Application Security, SRE, and Infrastructure teams to aggregate, prioritize, and track code vulnerabilities, penetration-testing findings, and infrastructure risks across the SDLC. - Analyze vulnerability trends (by system, control, and data sensitivity) to help teams focus on the highest-impact remediation work. - Drive consistent, high-quality documentation of risk decisions, mitigations, and compensating controls. - Design and maintain risk and control dashboards that provide senior leadership with clear insight into security posture, compliance status, and remediation velocity. - Produce recurring executive-ready reports and narratives that translate complex technical risk into clear, non-technical language for decision-makers and risk committees. - Recommend and refine KPIs/KRIs that measure technology risk, SOX ITGC health, and vulnerability reduction over time. WHAT YOU BRING - 8+ years of experience in technology risk, IT audit, cybersecurity, or information security, with recent, hands-on in SOX-driven or heavily regulated environments (e.g. public/pre-IPO, company, Big 4 IT audit/risk advisory, financial services or healthcare). - Proven track record as a senior IC leading complex, cross-functional risk or compliance programs with high visibility to engineering and IT leadership. - Deep experience with SOX IT General Controls (design, testing, and remediation) in cloud-first environments. - Strong understanding of access management, change management, computer operations, and related control frameworks. - Comfort working in PHI-handling or similarly sensitive data environments. - Demonstrated ability to influence senior engineering and IT stakeholders: you can surface uncomfortable risks, keep discussions anchored in facts and impact, and help teams arrive at well-documented decisions. - Excellent relationship-builder who balances assertiveness with partnership—able to challenge, negotiate trade-offs, and still maintain trust. - Exceptional written and verbal communication skills; you distill complex technical risk into concise, executive-ready narratives and clear action plans. PREFERRED QUALIFICATIONS - Certifications such as CISA, CISSP, or equivalent. - Prior Big 4 (or similar) experience in IT audit, SOX, or technology risk. - Experience with SOX IT General Controls and broader security frameworks. Hinge Health Hybrid Model This is a hybrid role based in the San Francisco office, requiring in-person attendance three days per week for a full 8-hour business day. On remote days, employees are expected to work during core business hours with flexibility. The office is part of a dog-friendly workplace program, and while travel is not regularly required, occasional off-site/on-site events may occur. Physical demands are minimal and primarily involve standard office activities such as sitting, typing, and video conferencing. ABOUT HINGE HEALTH At Hinge Health, we’re using technology to scale and automate the delivery of healthcare – starting with musculoskeletal (MSK) conditions, which affect over 1.7 billion people worldwide. With an AI-powered human-centered care model, Hinge Health leverages cutting-edge technology to improve outcomes, experiences and costs to help people move beyond their pain. The platform addresses a broad spectrum of MSK care – from acute injury, to chronic pain, to post-surgical rehabilitation – through personalized, evidence-based care. As the preferred partner to 50+ health plans, PBMs and other ecosystem partners, Hinge Health is available to over 20 million people across more than 2,550 employers. The company is headquartered in San Francisco with additional offices in Montreal and Bangalore. Learn more at http://www.hingehealth.com WHAT YOU'LL LOVE ABOUT US - Inclusive healthcare and benefits: On top of comprehensive medical, dental, and vision coverage, we offer employees and their family members help with gender-affirming care, tools for family and fertility planning, and travel reimbursements if healthcare isn’t available where you live. - Planning for the future: Start saving for the future with our traditional or Roth 401k retirement plan options which include a 2% company match. - Modern life stipends: Manage your own learning and development - Grow with us through discounted company stock through our ESPP with easy payroll deductions. CULTURE & ENGAGEMENT Hinge Health is an equal opportunity employer and prohibits discrimination and harassment of any kind. We make employment decisions without regards to race, color, religion, sex, sexual orientation, gender identity, national origin, age, veteran status, disability status, pregnancy, or any other basis protected by federal, state or local law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. We provide reasonable accommodations for candidates with disabilities. If you feel you need assistance or an accommodation due to a disability, let us know by reaching out to your recruiter. By submitting your application you are acknowledging we are using your personal data as outlined in the personnel and candidate privacy policy. Beware of Phishing Attempts: We've noticed an increase in phishing where fraudsters impersonate employees and send fake job offers to steal sensitive information. We'll never ask for financial details during the hiring process and only use \"@hingehealth.com http://hingehealth.com\" emails. If you receive a suspicious offer, stop communication and report it to the US FBI Internet Crime Complaint Center. To verify an email from our recruiting team, forward it to security@hingehealth.com https://app.ashbyhq.com/admin/organizational-settings/theme#.", "summaryDescription" : "Manager, Technology Risk at Hinge Health", "createdAt" : "2026-06-14T19:32:02.213", "lastUpdated" : "2026-06-16T01:31:13.738", "ingestTimestamp" : "2026-06-14T19:32:02.213", "mongoId" : "6a2cd71e74d8ee00a0a40555", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 198000, "salaryAnnualMax" : 250000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Manager", "dataQualityScore" : 0.7777778, "_score" : 988.614, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2a490274d8ee00a05e333b", "title" : "Associate Director, Business Analytics", "company" : "Omnicom Media", "industry" : "Advertising", "salary" : { "min" : 110000.0, "max" : 135000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "New York, New York, United States", "locations" : [ "New York", "New York", "United States" ], "timestamp" : "2026-06-14T03:25:21.966", "fingerprint" : "cfda659dfe39a0df130228153c2613e4a268a50f4cf47f6fe578165e80d63e1e", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/mediabrands/jobs/5133155007", "externalId" : "5133155007", "industryFunction" : { }, "structuredLocations" : [ { "city" : "New York", "state" : "New York", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "40.7127281,-74.0060152" } ], "locationText" : "New York, New York, United States", "experienceLevel" : "Director", "technicalSkills" : "SQL", "professionalSkills" : [ "Marketing analytics", "Integrated marketing", "Customer journey development", "Budgeting", "Revenue forecasting", "ROI development", "Audience-based marketing", "Data-driven advertising", "Solution development", "Analytic skills", "Critical thinking", "Strategic issues", "Operational issues", "Data analytics", "Client relationship management" ], "hardSkillsList" : [ "Data analysis", "Analytics techniques", "Measurement plan development", "Consumer insight gathering", "Strategic process", "Process improvement", "Consumer segmentation", "Audience identification", "Audience exploration", "Media impact measurement", "Business outcomes measurement", "Cross-functional task management", "Budget setting", "Media plan development", "Budget optimization", "Plan optimization", "Career growth planning", "Skill expansion", "Industry trend research", "Industry development research", "Training engagement" ], "softSkillsList" : [ "Leadership", "Mentoring", "Training", "Problem-solving", "Client relationship experience", "Articulate", "Engaging", "Straightforward", "Effective presentation", "Convincing translation", "Coaching colleagues" ], "hardSkills" : [ { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Analytics techniques", "level" : "intermediate" }, { "name" : "Measurement plan development", "level" : "intermediate" }, { "name" : "Consumer insight gathering", "level" : "intermediate" }, { "name" : "Strategic process", "level" : "intermediate" }, { "name" : "Process improvement", "level" : "intermediate" }, { "name" : "Consumer segmentation", "level" : "intermediate" }, { "name" : "Audience identification", "level" : "intermediate" }, { "name" : "Audience exploration", "level" : "intermediate" }, { "name" : "Media impact measurement", "level" : "intermediate" }, { "name" : "Business outcomes measurement", "level" : "intermediate" }, { "name" : "Cross-functional task management", "level" : "intermediate" }, { "name" : "Budget setting", "level" : "intermediate" }, { "name" : "Media plan development", "level" : "intermediate" }, { "name" : "Budget optimization", "level" : "intermediate" }, { "name" : "Plan optimization", "level" : "intermediate" }, { "name" : "Career growth planning", "level" : "intermediate" }, { "name" : "Skill expansion", "level" : "intermediate" }, { "name" : "Industry trend research", "level" : "intermediate" }, { "name" : "Industry development research", "level" : "intermediate" }, { "name" : "Training engagement", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Mentoring" }, { "name" : "Training" }, { "name" : "Problem-solving" }, { "name" : "Client relationship experience" }, { "name" : "Articulate" }, { "name" : "Engaging" }, { "name" : "Straightforward" }, { "name" : "Effective presentation" }, { "name" : "Convincing translation" }, { "name" : "Coaching colleagues" } ], "majorSkills" : "Business Analytics, Client Strategy, Data Storytelling", "majorSkillsList" : [ "Business Analytics", "Client Strategy", "Data Storytelling" ], "coreResponsibilities" : "Build client understanding, Develop client understanding, Understand client strategic issues, Understand client initiatives, Understand client competitive position, Ensure analytics lead to narratives, Construct insightful narratives, Use sophisticated analytic techniques, Participate in measurement plan development, Participate in measurement plan execution, Ensure timely follow through, Generate clear narratives, Generate compelling narratives, Generate actionable narratives, Communicate clear narratives, Communicate compelling narratives, Communicate actionable narratives, Recommend research, Implement research, Aid consumer insight gathering, Aid strategic process, Identify process improvement opportunities, Lead analysts, Lead managers, Mentor analysts, Mentor managers, Train analysts, Train managers, Present reports to clients, Present POVs to clients, Present materials to clients, Contribute to consumer segmentation, Contribute to audience identification, Contribute to audience exploration, Design tests, Measure incremental media impact, Measure impact on business outcomes, Manage cross-functional tasks, Ensure understanding of priorities, Ask for help, Partner with Planning teams, Partner with Investment teams, Set annual budgets, Develop media plans, Optimize ongoing budgets, Optimize ongoing plans, Lead direct reports, Mentor direct reports, Assess direct report capabilities, Provide career growth roadmap, Institute goals for skill expansion, Keep abreast of industry trends, Keep abreast of industry developments, Conduct industry research, Engage in training", "teamCollaboration" : "Planning teams; Investment teams; Cross-functional teams", "projectManagementSkills" : [ "Project management", "Scope management", "Budget management", "Timing management" ], "domainKnowledge" : "Marketing analytics; Customer journey; Audience-based marketing; Data-driven advertising; Agency media campaigns", "domainList" : [ "marketing-analytics", "customer-journey", "audience-based-marketing", "data-driven-advertising", "agency-media-campaigns" ], "domainSpecificKnowledge" : [ "Marketing analytics", "Customer journey", "Audience-based marketing", "Data-driven advertising", "Agency media campaigns" ], "communicationSkills" : "Client presentations; Client POVs; Client materials; Business writing", "continuousLearning" : "Engaging in training; Industry research", "problemSolvingSkills" : "Problem-solving; Clarifying strategic issues; Clarifying operational issues; Driving issues to resolution", "outcomesObjectives" : "Exceed client business goals", "qualificationsBasic" : "5-7 years data and analytics experience, University degree, SQL proficiency, Years of experience in advertising, management consulting, marketing or digital consulting", "qualificationsPreferred" : "PhD preferred, Agency-side media campaign planning and execution knowledge", "rawDescription" : "The Business Analytics team is pivotal in the delivery of modern agency services. We are tightly integrated with planning and investment teams to deliver on and exceed our clients’ business goals. Responsibilities External facing responsibilities: Build and develop a deep understanding of the client's strategic issues, initiatives and the competitive position. Ensure that analytics efforts lead to clear, compelling and actionable insights; and insightful narratives are constructed through sophisticated analytics techniques. Participate in the measurement plan development and execution. Ensure timely follow through on all scheduled and ad hoc deliverables. Generate and communicating clear, compelling and actionable insights; constructing insightful narratives through sophisticated analytic techniques. Recommend and implement research that will aid in the consumer insight gathering and strategic process. Identify opportunities to continuously improve processes. Lead, mentor and train analysts and managers. Present reports, POVs and other materials to clients on a regular basis over the phone and in person. Contribute to the consumer segmentation and audience identification/exploration processes. Design tests to measure the incremental impact of media on business outcomes. Manage cross-functional day-to-day tasks, ensuring understanding of proper priorities, knowing when to ask for help. Internal facing responsibilities: Manage cross-functional day-to-day tasks, ensuring understanding of proper priorities, knowing when to ask for help. Partner with the Planning and Investment teams on annual budget setting, media plan development and ongoing budget / plan optimization. Lead and mentor direct reports: continually assess capabilities, provide a roadmap for career growth and institute goals to build / expand skills. Keep in front of industry trends and developments by conducting research and engaging in training. Required Skills Industry Knowledge in marketing analytics and data Experience in integrated marketing related to media and/or customer journey development, including budgeting, revenue forecasting, ROI development. Demonstrated knowledge in audience-based marketing and data-driven advertising Solution development: analytic skills, critical thinking and clarifying strategic & operational issues as relates to data and analytics. Problem-solving skills to drive issues to resolution. Proven leadership ability and strong, impactful client relationship experience Stellar communication and presentation skills: we need someone who is articulate, engaging and straightforward – and, above all, can effectively and convincingly translate unstructured business solutions into innovative customer marketing programs Ability to train and coach colleagues for growth: being organized and detail oriented, prioritizing work, business writing & presenting, conducting analysis, and project management (scope, budgeting, timing) Comfortable working in ambiguous situations Education and Experience A university degree and 5-7 years of data and analytics experience in advertising, management consulting, marketing or digital consulting Knowledge of agency-side media campaign planning and execution process is desirable, but not required Wage and Benefits We offer a Total Rewards package that includes medical and dental coverage, 401(k) plans, flex spending, life insurance, disability, employee discount program, employee stock purchase program and paid family benefits to support you and your family. The salary range for this position is posted below. Where an employee or prospective employee is paid within this range will depend on, among other factors, actual ranges for current/former employees in the subject position, market considerations, budgetary considerations, tenure and standing with the Company (applicable to current employees), as well as the employee’s/applicant’s skill set, level of experience, and qualifications. Employment Transparency It is our policy to provide equal employment opportunities to all employees and applicants for employment without regard to race, color, ethnicity, gender, age, religion, creed, national origin, sexual orientation, gender identity, marital status, citizenship, genetic information, veteran status, disability, or any other basis prohibited by applicable federal, state, or local law. Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties, or responsibilities that are required of the employee for this job. Duties, responsibilities, and activities may change at any time with or without notice. The employer will make reasonable accommodations in compliance with the American with Disabilities Act of 1990. The job description will be reviewed periodically as duties and responsibilities change with business necessity. Essential and other job functions are subject to modification. Reasonable accommodations may be provided to enable individuals with disabilities to perform the essential functions. For applicants to jobs in the United States: In compliance with the current Americans with Disabilities Act and state and local laws, if you have a disability and would like to request an accommodation to apply for a position with Mediabrands, please email accommodation@mbww.com. Salary Range $110,000—$135,000 USD", "summaryDescription" : "Associate Director, Business Analytics at Omnicom Media. Skills: Business Analytics, Client Strategy, Data Storytelling. Build client understanding. Develop client understanding", "postedDate" : "2026-06-11T20:23:06.137", "createdAt" : "2026-06-11T20:23:06.137", "lastUpdated" : "2026-06-14T03:25:21.966", "ingestTimestamp" : "2026-06-11T20:23:06.137", "mongoId" : "6a2a490274d8ee00a05e333b", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 110000, "salaryAnnualMax" : 135000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Data analysis", "Analytics techniques", "Measurement plan development", "Consumer insight gathering", "Strategic process", "Process improvement", "Consumer segmentation", "Audience identification", "Audience exploration", "Media impact measurement", "Business outcomes measurement", "Cross-functional task management", "Budget setting", "Media plan development", "Budget optimization", "Plan optimization", "Career growth planning", "Skill expansion", "Industry trend research", "Industry development research", "Training engagement", "Leadership", "Mentoring", "Training", "Problem-solving", "Client relationship experience", "Articulate", "Engaging", "Straightforward", "Effective presentation", "Convincing translation", "Coaching colleagues", "Business Analytics", "Client Strategy", "Data Storytelling", "Marketing analytics", "Integrated marketing", "Customer journey development", "Budgeting", "Revenue forecasting", "ROI development", "Audience-based marketing", "Data-driven advertising", "Solution development", "Analytic skills", "Critical thinking", "Strategic issues", "Operational issues", "Data analytics", "Client relationship management", "Project management", "Scope management", "Budget management", "Timing management", "Customer journey", "Agency media campaigns" ], "skillCount" : 56, "jobCategory" : "other", "jobSubcategory" : "mediabrands---united-states", "dataQualityScore" : 0.8888889, "_score" : 984.87354, "daysOld" : 2, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Advertising" }, { "id" : "6a2c8deb74d8ee00a097a497", "title" : "Data Analytics Associate", "company" : "Capricor Therapeutics", "industry" : "Data Science & Solutions", "salary" : { "min" : 75000.0, "max" : 90000.0, "currency" : "USD", "frequency" : "yearly" }, "location" : "San Diego - SD3", "locations" : [ "San Diego - SD3" ], "timestamp" : "2026-06-16T06:06:31.202", "fingerprint" : "a0a4e4d15eb1afba7c149250d33f043b6b870b95c13e295d7669fa43db34c4a5", "source" : "lever", "language" : "en", "applyUrl" : "https://jobs.lever.co/capricor/f29602aa-a7bb-49ef-b998-f1b8efa99c44/apply", "externalId" : "f29602aa-a7bb-49ef-b998-f1b8efa99c44", "industryFunction" : { }, "structuredLocations" : [ { "city" : "San Diego", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "32.7174202,-117.1627720" } ], "locationText" : "San Diego, California, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "Entry", "technicalSkills" : "AWS, Git, Python, R, SQL", "hardSkillsList" : [ "Data analysis", "Data integration", "Data cleaning", "Data preprocessing", "Quality control", "Exploratory analysis", "Workflow automation", "Data processing" ], "hardSkills" : [ { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Data integration", "level" : "intermediate" }, { "name" : "Data cleaning", "level" : "intermediate" }, { "name" : "Data preprocessing", "level" : "intermediate" }, { "name" : "Quality control", "level" : "intermediate" }, { "name" : "Exploratory analysis", "level" : "intermediate" }, { "name" : "Workflow automation", "level" : "intermediate" }, { "name" : "Data processing", "level" : "intermediate" } ], "majorSkills" : "Data analysis, Data workflows, Data integration", "majorSkillsList" : [ "Data analysis", "Data workflows", "Data integration" ], "coreResponsibilities" : "Assist with development, execution, and maintenance of analytical, Work with biological, analytical assay, and research datasets, Perform data extraction, cleaning, harmonization, integration, and troubleshooting, Support RNA-seq and proteomics data preprocessing, quality control,, Support generation of figures, tables, summaries, and technical, Maintain organized, traceable, and reproducible analytical workflows, datasets,, Support maintenance and organization of cloud, database, and, Assist with workflow automation, cloud computing, and data, Investigate data inconsistencies, missing information, and technical issues", "teamCollaboration" : "Cross-functional teams; R&D; Manufacturing; Quality; Data Science personnel", "domainKnowledge" : "Transcriptomics; Proteomics; Cell therapy; Exosome therapy; Rare diseases; Biotechnology; Regulated laboratory/manufacturing environments", "domainList" : [ "transcriptomics", "proteomics", "cell-therapy", "exosome-therapy", "rare-diseases", "biotechnology", "regulated-laboratory-manufacturing-environments" ], "domainSpecificKnowledge" : [ "Transcriptomics", "Proteomics", "Cell therapy", "Exosome therapy", "Rare diseases", "Biotechnology", "Regulated laboratory/manufacturing environments" ], "toolProficiency" : [ "AWS", "Git" ], "communicationSkills" : "Technical documentation", "documentationSkills" : "Technical documentation", "problemSolvingSkills" : "Problem-solving skills", "qualificationsBasic" : "MS or PhD degree in Bioinformatics, Data Science, Statistics, Computational Biology, Biology, or related relevant industry experience may be considered in place of an advanced degree, Experience with R or Python for data analysis, Basic understanding of statistical analysis and data visualization", "qualificationsPreferred" : "Experience with SQL and cloud platforms (AWS) is a plus, Familiarity with biotechnology or regulated laboratory/manufacturing environments is a plus, Experience with structured datasets, databases, or version control systems (e. g. , Git) is a plus", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "## Description Capricor Therapeutics (NASDAQ: CAPR) is a biotechnology company dedicated to advancing transformative cell and exosome-based therapies for rare diseases. At the forefront of our innovation is Deramiocel (CAP-1002), our lead cell therapy in late-stage development for Duchenne muscular dystrophy. We are also harnessing our proprietary StealthX™ exosome platform to unlock new possibilities in targeted delivery and vaccinology. Every program reflects our commitment to pushing the boundaries of science and delivering life-changing treatments to patients and families who need them most. The Data Science & Solutions team is seeking a junior data analytics professional to support research, manufacturing, and analytical data initiatives in a biotechnology environment. ## Responsibilities Assist with development, execution, and maintenance of analytical workflows, scripts, reports, and dashboards Work with biological, analytical assay, and research datasets, including transcriptomics and proteomics data Perform data extraction, cleaning, harmonization, integration, and troubleshooting across multiple data sources and systems Support RNA-seq and proteomics data preprocessing, quality control, and exploratory analyses under guidance from senior scientists Support generation of figures, tables, summaries, and technical documentation for internal reports and presentations Maintain organized, traceable, and reproducible analytical workflows, datasets, and supporting documentation in accordance with internal procedures and SOPs Support maintenance and organization of cloud, database, and shared data storage environments Assist with workflow automation, cloud computing, and data processing activities using tools such as AWS, Git, and scripting languages Investigate data inconsistencies, missing information, and technical issues related to analytical datasets and reporting Collaborate with cross-functional teams including R&D, Manufacturing, Quality, and Data Science personnel ## Preferred Qualifications MS or PhD degree in Bioinformatics, Data Science, Statistics, Computational Biology, Biology, or related field; relevant industry experience may be considered in place of an advanced degree. Experience with R or Python for data analysis Familiarity with transcriptomics, RNA-seq, or proteomics datasets Basic understanding of statistical analysis and data visualization Experience with SQL and cloud platforms (AWS) is a plus Familiarity with biotechnology or regulated laboratory/manufacturing environments is a plus Experience with structured datasets, databases, or version control systems (e.g., Git) is a plus Strong organizational, communication, and problem-solving skills Strong attention to detail and ability to manage multiple tasks/projects ## Additional Information Why Capricor? Capricor Therapeutics, a trailblazer in cell and exosome therapy, is dedicated to redefining standards of care with innovative treatments rooted in scientific excellence. Guided by integrity and a passion for patient-centered impact, our team is shaping a brighter future for healthcare. Join us and contribute to a mission-driven group that’s transforming lives with every breakthrough. Come Work With Us! At Capricor, you’ll thrive in a collaborative environment that nurtures your professional growth and innovation. Join a dedicated team fueled by a passion for advancing medical science and transforming patient lives through our cutting-edge therapies. Please note that Capricor does not use Skype for interviews or recruiting activities. Candidates will only be contacted by an official Capricor email address which is @capricor.com. Additionally, Capricor will never ask potential employees to send a check or money to the Company for any reason. Notice to Recruiting Agencies Capricor Therapeutics does not accept candidate submissions or referrals from recruiting agencies, staffing firms, or third-party recruiters without expressed consent from Talent Acquisition management and a prior written agreement. Agencies that contact hiring managers directly, solicit business, or submit candidates without this approval will not be considered for any engagement. All such submissions become the property of Capricor Therapeutics, and no fees will be paid for any candidates hired as a result. We appreciate your cooperation and respect for this policy.", "summaryDescription" : "Data Analytics Associate at Capricor Therapeutics. Skills: Data analysis, Data workflows, Data integration. Assist with development, execution, and maintenance of analytical. Work with biological, analytical assay, and research datasets", "postedDate" : "2026-06-11T16:47:18.911", "createdAt" : "2026-06-11T16:47:18.911", "lastUpdated" : "2026-06-16T06:06:31.202", "ingestTimestamp" : "2026-06-14T21:26:08.930", "mongoId" : "6a2c8deb74d8ee00a097a497", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 75000, "salaryAnnualMax" : 90000, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ "Data analysis", "Data integration", "Data cleaning", "Data preprocessing", "Quality control", "Exploratory analysis", "Workflow automation", "Data processing", "Data workflows", "Transcriptomics", "Proteomics", "Cell therapy", "Exosome therapy", "Rare diseases", "Biotechnology", "Regulated laboratory/manufacturing environments", "AWS", "Git" ], "skillCount" : 18, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Junior", "dataQualityScore" : 1.0, "_score" : 984.2015, "daysOld" : 4, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Biotech", "llmIndustryConfidence" : 0.98 }, { "id" : "6a309712f292fd229c0d9578", "title" : "Associate Director, Analytical Development", "company" : "Centessa Pharmaceuticals", "industry" : "Pharma", "salary" : { "min" : 180000.0, "max" : 195000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Boston, MA", "locations" : [ "Boston", "MA" ], "timestamp" : "2026-06-16T12:26:29.784", "fingerprint" : "9a119fd3f7446a9e418d5bfe3b637ca48f3b6b711a06a383187c0c804e1a448d", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/centessapharmaceuticalsinc/jobs/6026931004", "externalId" : "6026931004", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Boston", "state" : "Massachusetts", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "42.3588336,-71.0578303" } ], "locationText" : "Boston, Massachusetts, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "PhD", "experienceMinYears" : 10, "experienceLevel" : "Director", "technicalSkills" : "HPLC/UPLC, GC, KF, XRPD", "professionalSkills" : [ "Analytical planning", "Resource management" ], "hardSkillsList" : [ "Assay development", "Related substances development", "Forced degradation", "Residual solvents", "Elemental impurities", "Microbial testing", "Dissolution", "Compendial methods", "Stability studies", "CGMP compliance" ], "softSkillsList" : [ "Leadership", "Negotiation" ], "hardSkills" : [ { "name" : "Assay development", "level" : "intermediate" }, { "name" : "Related substances development", "level" : "intermediate" }, { "name" : "Forced degradation", "level" : "intermediate" }, { "name" : "Residual solvents", "level" : "intermediate" }, { "name" : "Elemental impurities", "level" : "intermediate" }, { "name" : "Microbial testing", "level" : "intermediate" }, { "name" : "Dissolution", "level" : "intermediate" }, { "name" : "Compendial methods", "level" : "intermediate" }, { "name" : "Stability studies", "level" : "intermediate" }, { "name" : "CGMP compliance", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Negotiation" } ], "majorSkills" : "Analytical Development, Small Molecule Development, Regulatory Submissions", "majorSkillsList" : [ "Analytical Development", "Small Molecule Development", "Regulatory Submissions" ], "coreResponsibilities" : "Review and assemble information for analytical sections in, Coordinate domestic shipments, Coordinate international shipments, Serve as a technical expert, Aid in analytical investigations, Aid in troubleshooting, Assist with batch record review, Assist with deviation investigations", "teamCollaboration" : "Internal business partners; External business partners; Managing groups; Managing CMOs; Managing CDMOs; Managing vendors", "projectManagementSkills" : [ "Agile" ], "domainKnowledge" : "Small molecules; Early to late-development; ICH stability guidelines; Compendial (USP, EP); cGMP laboratory practices", "domainList" : [ "small-molecules", "early-to-late-development", "ich-stability-guidelines", "compendial-usp", "ep", "cgmp-laboratory-practices" ], "domainSpecificKnowledge" : [ "Small molecules", "Early to late-development", "ICH stability guidelines", "Compendial (USP, EP)", "cGMP laboratory practices" ], "communicationSkills" : "Interpersonal skills; Communication skills", "documentationSkills" : "Regulatory submission documents", "problemSolvingSkills" : "Analytical investigations; Troubleshooting", "specialRequirements" : "Occasional travel", "qualificationsBasic" : "PhD in Chemistry, PhD in Pharmaceutical Sciences, MS with extensive relevant biotech/pharmaceutical industry experience, 10+ years of experience in biotech/pharmaceutical industry, Small molecules experience, Early to late-development experience, Analytical planning experience, Resource management skills, In depth knowledge of assay development, In depth knowledge of related substances development, In depth knowledge of forced degradation, In depth knowledge of HPLC/UPLC, In depth knowledge of GC, In depth knowledge of KF, In depth knowledge of XRPD, In depth knowledge of residual solvents, In depth knowledge of elemental impurities, In depth knowledge of microbial testing, In depth knowledge of dissolution, In depth knowledge of compendial methods, Hands-on experience carrying out stability studies, Knowledge of ICH stability guidelines, Knowledge of compendial requirements, Knowledge of compendial standards, Detailed knowledge of current Good Manufacturing Practices (cGMP), Ability to identify/remediate gaps in processes or systems", "qualificationsPreferred" : "Experience managing DS/DP stability, Experience in QC settings", "workSiteFlexibility" : "Onsite", "rawDescription" : "Centessa Pharmaceuticals plc (Nasdaq: CNTA) new kind of pharmaceutical company with a deconstructed R review and assemble information for analytical sections in regulatory submission documents (e. g. IND, IMPD, NDA, etc) Coordinate and execute domestic and international shipments Serve as a technical expert and aid in analytical investigations and troubleshooting Assist with batch record review and deviation investigations Qualifications PhD in Chemistry, Pharmaceutical Sciences, or a related discipline or MS with extensive relevant biotech/pharmaceutical industry experience 10+ years of experience in biotech/pharmaceutical industry in small molecules, working in early to late-development (pre-clinical to phase 3) Strong analytical planning and resource management skills in a dynamic environment located across multiple geographies In depth knowledge of assay and related substances development, forced degradation, HPLC/UPLC, GC, KF, XRPD, residual solvents, elemental impurities, microbial testing, dissolution, compendial methods. Hands-on experience in carrying out stability studies for drug substance and drug product in development and/or QC settings Experience managing DS/DP stability, and knowledge of ICH stability guidelines Knowledge of compendial (USP, EP, etc) requirements and standards Detailed knowledge and understanding of current Good Manufacturing Practices (cGMP) related to the QC laboratory and ability to identify/remediate gaps in processes or systems Strong organizational skills and attention to detail Good interpersonal and communication skills to collaborate effectively with internal and external business partners Requires a good understanding of managing groups, CMOs, CDMOs and other vendors Work Location The Associate Director, Analytical Development role is based in the US, with occasional travel. Compensation The annual base salary range for this position is $180,000.00 to $195,000.00. Individual compensation within this range will be determined based on a variety of factors, including qualifications, skills, relevant experience, and job knowledge. In addition to base pay, this role is eligible for a discretionary annual bonus. Centessa also offers a comprehensive benefits package, which includes a 401(k) plan, company-sponsored medical, dental, vision, and life insurance, generous paid time off, and a health and wellness program. POSITION: Full-Time, Exempt EEOC Statement: Centessa Pharmaceuticals believes in a diverse environment and is committed to equal employment opportunity for all its employees and qualified applicants. We do not discriminate in recruitment, hiring, training, promotion, or any other employment practices for reasons of race, color, religion, gender, national origin, age, sexual orientation, marital or veteran status, disability, or any other legally protected status. Centessa Pharmaceuticals will make reasonable accommodations for qualified individuals with known disabilities, in accordance with applicable law. Please note: We will not assign referral rights for any unsolicited resumes from recruitment agencies.", "summaryDescription" : "Associate Director, Analytical Development at Centessa Pharmaceuticals. Skills: Analytical Development, Small Molecule Development, Regulatory Submissions. Review and assemble information for analytical sections in. Coordinate domestic shipments", "postedDate" : "2026-06-16T03:16:28.536", "createdAt" : "2026-06-16T03:16:28.536", "lastUpdated" : "2026-06-16T12:26:29.784", "ingestTimestamp" : "2026-06-16T03:16:28.536", "mongoId" : "6a309712f292fd229c0d9578", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 180000, "salaryAnnualMax" : 195000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Assay development", "Related substances development", "Forced degradation", "Residual solvents", "Elemental impurities", "Microbial testing", "Dissolution", "Compendial methods", "Stability studies", "CGMP compliance", "Leadership", "Negotiation", "Analytical Development", "Small Molecule Development", "Regulatory Submissions", "Analytical planning", "Resource management", "Agile", "Small molecules", "Early to late-development", "ICH stability guidelines", "Compendial (USP, EP)", "cGMP laboratory practices" ], "skillCount" : 23, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Director", "dataQualityScore" : 1.0, "_score" : 983.4911, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Biotech", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c5f3f74d8ee00a08ea4eb", "title" : "Director, AI Technology & Analytics, People Function", "company" : "Nscale", "industry" : "Technology", "salary" : { "min" : 225000.0, "max" : 325000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Director, AI Technology & Analytics in the Technology industry in the US, adjusted for seniority and company size." }, "location" : "US", "locations" : [ "US" ], "timestamp" : "2026-06-14T22:38:23.530", "fingerprint" : "8861fc5f7db2a07adb6e9d8b83452484cb3eae0e4125a6948dc6b7ffd8e3287e", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.eu.greenhouse.io/nscaleoperationsukltd/jobs/4870685101", "externalId" : "4870685101", "industryFunction" : { }, "structuredLocations" : [ { "country" : "United States", "continent" : "na", "workMode" : "onsite" } ], "locationText" : "United States", "experienceLevel" : "Director", "technicalSkills" : "Power BI, Tableau, Python, R, SQL", "professionalSkills" : [ "AI adoption", "Data literacy", "Digital transformation", "System implementations" ], "hardSkillsList" : [ "Inferential statistics", "Predictive modelling", "ML model deployment" ], "softSkillsList" : [ "Executive communication", "Strategic thinking" ], "hardSkills" : [ { "name" : "Inferential statistics", "level" : "intermediate" }, { "name" : "Predictive modelling", "level" : "intermediate" }, { "name" : "ML model deployment", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Executive communication" }, { "name" : "Strategic thinking" } ], "coreResponsibilities" : "Understand AI feature roadmaps, Lead AI adoption programs, Build data literacy, Drive behavioral change", "teamCollaboration" : "Cross-functional execution", "projectManagementSkills" : [ "Project management" ], "domainKnowledge" : "AI infrastructure", "domainList" : [ "ai-infrastructure" ], "domainSpecificKnowledge" : [ "AI infrastructure" ], "toolProficiency" : [ "Power BI", "Tableau", "Python", "R", "SQL" ], "communicationSkills" : "Executive communication", "qualificationsBasic" : "Proficiency with analytics and ML tools, Knowledge of inferential statistics, Knowledge of predictive modelling, Knowledge of ML model deployment, Experience leading digital transformation, Experience with large-scale system implementations, Proven ability to lead AI adoption programs, Proven ability to build data literacy, Proven ability to drive behavioral change, Executive communication, Strategic thinking, Project management capabilities, Background in cross-functional execution", "qualificationsPreferred" : "Understanding of AI feature roadmaps within major People platforms", "remoteFriendly" : false, "rawDescription" : ". The Company Nscale is an AI infrastructure company building the next generation hyperscaler, engineered specifically for artificial intelligence. Founded to power the world’s most demanding AI workloads, Nscale delivers a vertically integrated, performance-optimized platform spanning compute, data centers, and orchestration software. The company’s mission is to make AI infrastructure accessible, sovereign, and sustainable for enterprises, governments, and AI-native organizations. The People Function Nscale is building its people function entirely from the ground up. With the company scaling at extraordinary pace across Europe, North America, and APAC, the goal is to design a modern, AI-enabled people organization that mirrors Nscale’s own ambition: fast, data-driven, globally consistent, and built for scale. The function is led by the Chief People Officer, Naeem Hatimi, who joined last year to assemble a world-class leadership team to create the architecture, systems, and culture that will support Nscale through hypergrowth and toward IPO readiness. The vision is to build a people organization that blends operational excellence with innovation; one that harnesses AI and automation to deliver insight, efficiency, and exceptional employee experience. The focus is on building vs. inheriting, designing structures, playbooks, and practices for the first time, and scaling them globally at speed. The leaders joining now will directly shape Nscale’s future operating model, culture, and employee experience worldwide. The Opportunity The Director, AI Technology understanding of AI feature roadmaps within major People platforms ▪ Proficiency with analytics and ML tools including Power BI, Tableau, Python, R, and SQL ▪ Knowledge of inferential statistics, predictive modelling, and ML model deployment ▪ Experience leading digital transformation and large-scale system implementations ▪ Proven ability to lead AI adoption programs, build data literacy, and drive behavioral change across diverse stakeholder groups ▪ Executive communication skills; able to make the case for AI investments and influence at C-suite level ▪ Strategic thinking with strong project management capabilities ▪ Background in cross-functional execution For information on how Nscale handles candidate personal data, please see our Employee & Candidate Privacy Notice: Here.", "summaryDescription" : "Director, AI Technology & Analytics, People Function at Nscale. Understand AI feature roadmaps. Lead AI adoption programs", "postedDate" : "2026-06-12T22:19:05.600", "createdAt" : "2026-06-12T22:19:05.600", "lastUpdated" : "2026-06-14T22:38:23.530", "ingestTimestamp" : "2026-06-12T22:19:05.600", "mongoId" : "6a2c5f3f74d8ee00a08ea4eb", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 225000, "salaryAnnualMax" : 325000, "salaryBand" : "200k+", "hasSalary" : true, "allSkills" : [ "Inferential statistics", "Predictive modelling", "ML model deployment", "Executive communication", "Strategic thinking", "AI adoption", "Data literacy", "Digital transformation", "System implementations", "Project management", "AI infrastructure", "Power BI", "Tableau", "Python", "R", "SQL" ], "skillCount" : 16, "jobCategory" : "human-resources", "jobSubcategory" : "people-experience-&-infrastructure", "dataQualityScore" : 0.8888889, "_score" : 979.767, "daysOld" : 2, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology" }, { "id" : "6a2c622f74d8ee00a08f62c3", "title" : "Director or Senior Associate, Data Science & Analytics", "company" : "Vorbeck Materials", "industry" : "Research", "salary" : { "min" : 100000.0, "max" : 175000.0, "currency" : "USD", "frequency" : "yearly" }, "location" : "Columbia, MD, United States", "locations" : [ "Columbia", "MD", "United States" ], "timestamp" : "2026-06-15T02:09:22.901", "fingerprint" : "39b57a5c9e9de550ba6cbce0a6fa257c1e5f420707ba165897a96f431c1c3f5c", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/Vorbeck/744000131727285-director-or-senior-associate-data-science-analytics", "externalId" : "744000131727285", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Columbia", "state" : "Maryland", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "39.1938429,-76.8646092" }, { "city" : "Grand Forks", "state" : "North Dakota", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "47.9252104,-97.0306325" } ], "locationText" : "Columbia, Maryland, United States; Grand Forks, North Dakota, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 10, "experienceMaxYears" : 15, "experienceLevel" : "director", "technicalSkills" : "Python, R, SQL, Power BI, Tableau, Excel", "professionalSkills" : [ "Data analysis", "Data insights", "Product development", "Quality analytics", "Process improvement", "Data visualization", "Statistical modeling", "Predictive modeling", "Data management", "Scientific computing" ], "hardSkillsList" : [ "Statistical analysis", "Predictive modeling", "Data visualization", "Data management", "Scientific computing", "Experimental design", "Statistical process control", "Quality analytics" ], "softSkillsList" : [ "Analytical", "Quantitative problem-solving", "Communication", "Presentation", "Organizational", "Project management" ], "hardSkills" : [ { "name" : "Statistical analysis", "level" : "intermediate" }, { "name" : "Predictive modeling", "level" : "intermediate" }, { "name" : "Data visualization", "level" : "intermediate" }, { "name" : "Data management", "level" : "intermediate" }, { "name" : "Scientific computing", "level" : "intermediate" }, { "name" : "Experimental design", "level" : "intermediate" }, { "name" : "Statistical process control", "level" : "intermediate" }, { "name" : "Quality analytics", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Analytical" }, { "name" : "Quantitative problem-solving" }, { "name" : "Communication" }, { "name" : "Presentation" }, { "name" : "Organizational" }, { "name" : "Project management" } ], "majorSkills" : "Data Science, Data Analytics, Statistical Analysis, Product Development Support", "majorSkillsList" : [ "Data Science", "Data Analytics", "Statistical Analysis", "Product Development Support" ], "coreResponsibilities" : "Analyze complex scientific and testing data sets, Identify trends and unique insights, Improve product performance, Support development of advanced materials, Transform data into actionable insights, Accelerate innovation, Evaluate experimental data, Support formulation development, Assess product performance, Analyze data from laboratory testing, Analyze data from pilot-scale production, Analyze data from commercial manufacturing, Evaluate production data, Evaluate quality control data, Improve process consistency, Identify sources of variability, Support continuous improvement initiatives, Establish key performance indicators, Establish process control metrics, Establish quality benchmarks, Develop tools for collaboration, Develop dashboards, Develop reports, Develop data visualization tools, Communicate analytical findings, Present insights and recommendations, Apply statistical analysis, Apply predictive modeling, Apply analytical techniques, Support process optimization, Support product performance evaluation, Support operational decision-making, Identify opportunities for advanced analytics, Leverage emerging technologies, Improve efficiency, Improve product outcomes, Support strategic initiatives, Solve technical challenges, Foster a data-driven culture, Support development of data collection processes, Support maintenance of data collection processes, Support development of data storage processes, Support maintenance of data storage processes, Support development of reporting processes, Support maintenance of reporting processes, Support development of analytics processes, Support maintenance of analytics processes, Improve data accessibility, Improve data consistency, Improve data integrity, Support additional projects and initiatives", "teamCollaboration" : "R&D teams; Product Development teams; Quality Control teams; Manufacturing teams; Leadership teams; Cross-functional teams", "projectManagementSkills" : [ "Project management" ], "domainKnowledge" : "Advanced materials; Fluorine-free foam technologies; Scientific data; Engineering data; Manufacturing data; Quality data; Product performance; Process control; Experimental design; Statistical process control", "domainList" : [ "advanced-materials", "fluorine-free-foam-technologies", "scientific-data", "engineering-data", "manufacturing-data", "quality-data", "product-performance", "process-control", "experimental-design", "statistical-process-control" ], "domainSpecificKnowledge" : [ "Advanced materials", "Fluorine-free foam technologies", "Scientific data", "Engineering data", "Manufacturing data", "Quality data", "Product performance", "Process control", "Experimental design", "Statistical process control" ], "toolProficiency" : [ "Python", "R", "SQL", "Power BI", "Tableau", "Excel" ], "communicationSkills" : "Verbal communication; Written communication; Presentation communication; Technical concepts; Analytical findings", "innovationCreativity" : "Innovation process; Accelerate innovation", "problemSolvingSkills" : "Analytical problem-solving; Quantitative problem-solving; Data-driven decision-making", "specialRequirements" : "10% travel, United States citizens", "qualificationsBasic" : "Bachelor's degree in Data Science, Statistics, Applied Mathematics, Computer Science, Engineering, Chemical Engineering, Materials Science, or a related technical field, 5+ years of experience in data analytics, data science, statistical analysis, scientific computing, or a related technical field, Experience analyzing complex scientific, engineering, manufacturing, or quality datasets, Experience developing dashboards, reports, and data visualization tools, Experience working with large, structured and unstructured datasets, SQL proficiency", "qualificationsPreferred" : "Masters degree or Ph. D. preferred, Experience within advanced materials preferred, Experience supporting research and product development preferred, Experience with database management, data warehousing, and data integration concepts preferred, Knowledge of experimental design, statistical process control, and quality analytics methodologies preferred", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Vorbeck Materials is engineering the future of technology for first responders, military, and industry. From PFAS-free firefighting foams to conformal antennas, we deliver mission-critical solutions with superior performance. Job Type: Full-time Classification: Exempt Pay: $100,000 - $175,000, based on qualifications and experience Physical Setting/work location: Columbia, MD or Grand Forks, ND. This position is onsite and may be based in either Vorbeck location depending on candidate qualifications and business needs. Vorbeck is seeking a Director or Senior Associate for Data Science & Analytics to support data- driven decision making with an emphasis on research and product development, but also including manufacturing and quality functions. This role will be responsible for analyzing complex scientific and testing data sets (as well as production, and quality data) to identify trends, and unique insights that can improve product performance, and support the development of Vorbeck's advanced materials and fluorine-free foam technologies. This role will work closely with R&D and Product Development (along with Quality, Manufacturing, and Leadership) teams to transform data into actionable insights that accelerate innovation and operational excellence. * Data Analysis & Insights: Be a critical part of the innovation process by developing powerful tools based on unique data insights that can inform R&D decision making. Analyze research, testing, manufacturing, and quality data to identify trends, correlations, and opportunities for product and process improvement. Transform complex datasets into actionable recommendations that support decision-making across the company. * Research & Product Development Support: Partner with R&D and Product Development teams to evaluate experimental data, support formulation development, and assess product performance. Analyze data from laboratory testing, pilot-scale production, and commercial manufacturing to accelerate product development efforts. * Quality & Manufacturing Analytics: Evaluate production and quality control data to improve process consistency, identify sources of variability, and support continuous improvement initiatives. Assist in establishing key performance indicators (KPIs), process control metrics, and quality benchmarks. * Data Visualization & Reporting: Develop tools that allow for collaboration between experimental experts and data-scientists with an initial focus on accelerating simultaneous improvements across multiple product performance dimensions while reducing environmental and health impacts. Develop dashboards, reports, and data visualization tools to communicate analytical findings. Present insights and recommendations that support product development, manufacturing performance, and business objectives. * Statistical Modeling & Advanced Analytics: Apply statistical analysis, predictive modeling, and analytical techniques to support process optimization, product performance evaluation, and operational decision-making. Identify opportunities to leverage advanced analytics and emerging technologies to improve efficiency and product outcomes. * Cross-Functional Collaboration: Work closely with R&D, Product Development, Quality Control, Manufacturing, and Leadership teams to support strategic initiatives, solve technical challenges, and foster a data-driven culture across the organization. * Data Management & Systems: Support the development and maintenance of data collection, storage, reporting, and analytics processes to improve data accessibility, consistency, and integrity across research, manufacturing, and quality operations. * Other Responsibilities: Support additional projects and initiatives as assigned. * Travel (expected): 10% ## Qualifications Education * Bachelor's degree in Data Science, Statistics, Applied Mathematics, Computer Science, Engineering, Chemical Engineering, Materials Science, or a related technical field. Masters degree or Ph.D. is preferred. Experience * 5+ years of experience in data analytics, data science, statistical analysis, scientific computing, or a related technical field. * Experience analyzing complex scientific, engineering, manufacturing, or quality datasets, with demonstrated ability to generate insights that improved technical outcomes, operational performance, or business results. * Experience developing dashboards, reports, and data visualization tools that support technical and business decision-making. * Experience working with large, structured and unstructured datasets. * Experience within advanced materials is preferred. * Experience supporting research and product development is preferred. Skills and Abilities * Exceptional drive and work ethic. * Strong analytical and quantitative problem-solving skills. * Experience with database management, data warehousing, and data integration concepts is preferred. * Ability to interpret complex scientific, manufacturing, and quality datasets and translate findings into actionable insights and collaborative tools. * Experience with statistical analysis, predictive modeling, data visualization, and data management techniques. * Strong proficiency with analytical tools such as Python, R, SQL, Power BI, Tableau, Excel, or similar platforms. * Knowledge of experimental design, statistical process control, and quality analytics methodologies is preferred. * Excellent verbal, written, and presentation communication skills. * Ability to communicate technical concepts and analytical findings to both technical and non- technical audiences. * Strong organizational and project management skills with the ability to manage multiple priorities and deadlines. * Ability to work independently while collaborating effectively across cross-functional teams. * Demonstrated ability to identify opportunities for process improvement and drive data-informed decision-making. ## Additional Information Benefits include: * Medical, Dental, and Vision Insurance * 401(k) Program * Vacation, Personal Time, and 10 Paid Holidays * Company-sponsored Short-Term Disability, Long-Term Disability, and Life Insurance * Opportunity for Relocation Assistance Vorbeck is an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, ethnicity, national origin, religion, sex (including pregnancy, childbirth, lactation, or related medical conditions), marital status, sexual orientation, gender identity and expression, disability, veteran status, military or uniformed service member status, or any other status protected by applicable federal, state, local, or international law. This position will involve work on government contracts and the government requires that qualified candidates must be United States citizens. All personal information will be kept confidential according to EEO guidelines.", "summaryDescription" : "Director or Senior Associate, Data Science & Analytics at Vorbeck Materials. Skills: Data Science, Data Analytics, Statistical Analysis, Product Development Support. Analyze complex scientific and testing data sets. Identify trends and unique insights", "postedDate" : "2026-06-11T17:01:03.000", "createdAt" : "2026-06-13T17:06:15.873", "lastUpdated" : "2026-06-15T02:09:22.901", "ingestTimestamp" : "2026-06-13T17:06:15.873", "mongoId" : "6a2c622f74d8ee00a08f62c3", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 100000, "salaryAnnualMax" : 175000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Statistical analysis", "Predictive modeling", "Data visualization", "Data management", "Scientific computing", "Experimental design", "Statistical process control", "Quality analytics", "Analytical", "Quantitative problem-solving", "Communication", "Presentation", "Organizational", "Project management", "Data Science", "Data Analytics", "Statistical Analysis", "Product Development Support", "Data analysis", "Data insights", "Product development", "Process improvement", "Statistical modeling", "Advanced materials", "Fluorine-free foam technologies", "Scientific data", "Engineering data", "Manufacturing data", "Quality data", "Product performance", "Process control", "Python", "R", "SQL", "Power BI", "Tableau", "Excel" ], "skillCount" : 37, "jobCategory" : "other", "jobSubcategory" : "analyst", "dataQualityScore" : 1.0, "_score" : 977.2328, "daysOld" : 3, "hasLocation" : true, "hasGeo" : true }, { "id" : "6a305b67f292fd229cf5d4fc", "title" : "Director, Insights and Analytics", "company" : "Dyne Therapeutics", "industry" : "Biotech", "salary" : { "min" : 190000.0, "max" : 240000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Waltham, Massachusetts, United States", "locations" : [ "Waltham", "Massachusetts", "United States" ], "timestamp" : "2026-06-16T08:31:17.425", "fingerprint" : "59f22a5765c588850e3ab8950630ad9bde5cc8895614c342afcde66b49a10ae1", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/dynetherapeutics/jobs/6020363004", "externalId" : "6020363004", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Waltham", "state" : "Massachusetts", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "42.3762385,-71.2355644" } ], "locationText" : "Waltham, Massachusetts, United States", "employmentType" : "FULL_TIME", "experienceLevel" : "Director", "technicalSkills" : "Python, R, SQL, JMP, Spotfire", "professionalSkills" : [ "Statistical analysis", "Data analysis", "Data visualization" ], "hardSkillsList" : [ "Statistical modeling", "Experimental design" ], "hardSkills" : [ { "name" : "Statistical modeling", "level" : "intermediate" }, { "name" : "Experimental design", "level" : "intermediate" } ], "majorSkills" : "Statistical modeling, Data analysis", "majorSkillsList" : [ "Statistical modeling", "Data analysis" ], "coreResponsibilities" : "Analyze experimental data, Develop statistical models, Design experiments, Generate reports, Communicate findings", "teamCollaboration" : "Research and Development teams; Cross-functional teams", "domainKnowledge" : "Biotechnology; Drug discovery", "domainList" : [ "biotechnology", "drug-discovery" ], "domainSpecificKnowledge" : [ "Biotechnology", "Drug discovery" ], "toolProficiency" : [ "JMP", "Spotfire", "R", "Python", "SQL" ], "communicationSkills" : "Written reports; Oral presentations", "documentationSkills" : "Technical documentation", "problemSolvingSkills" : "Data interpretation; Troubleshooting", "qualificationsBasic" : "5+ years experience, Bachelor's degree", "qualificationsPreferred" : "Master's degree preferred, PhD preferred", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Company Overview: Dyne Therapeutics is focused on delivering functional improvement for people living with genetically driven neuromuscular diseases. We are developing therapeutics that target muscle and the central nervous system (CNS) to address the root cause of disease. The company is advancing clinical programs for Duchenne muscular dystrophy (DMD) and myotonic dystrophy type 1 (DM1) as well as a preclinical programs for facioscapulohumeral muscular dystrophy (FSHD) and Pompe disease. At Dyne, we are on a mission to deliver functional improvement for individuals, families and communities. Learn more at https://www.dyne-tx.com/, and follow us on X, LinkedIn and Facebook. Role Summary: The Director, Insights and Analytics leads the generation of actionable market, customer, and data-driven insights to inform commercial strategy and execution across Dyne’s portfolio of assets in clinical development for rare neuromuscular diseases. This role integrates forecasting, market research, competitive intelligence, and advanced analytics to shape strategic decisions, optimize go-to-market planning, and enable organizational alignment. The Director serves as a strategic partner across cross-functional teams, translating complex data into clear, impactful recommendations that drive business outcomes. This role is based in Waltham, MA. Primary Responsibilities Include: Forecasting and Strategic Planning Lead development of long-range global forecasting models and scenario planning tools to project product uptake, access, and revenue Evaluate and enhance forecasting methodologies to improve accuracy, scalability, and agility Synthesize inputs across multiple data sources (e.g., market research, competitive intelligence, analogs) to validate assumptions and inform projections Support long-range planning, lifecycle management, and commercial assessments for pipeline and business development opportunities Partner with commercial operations and finance to guide operational forecasting and annual planning processes (AOP/budgeting) Serve as a strategic advisor to cross-functional stakeholders across Brand, Market Access, Finance, Supply, Trade, and IT Market Research and Insights Generation Design and execute global insights generation plans leveraging primary and secondary market research Manage end-to-end market research processes, including RFP development, vendor selection, and project execution Translate research findings into clear, actionable insights and strategic recommendations for senior leadership Ensure all research activities comply with data governance, privacy standards, and relevant external engagement policies Build strong partnerships with internal stakeholders to align insights with business priorities Competitive Intelligence Lead competitive intelligence strategy and analysis for key therapeutic areas, assessing market dynamics and competitive positioning Oversee execution of competitive intelligence activities, including monitoring, reporting, ad hoc analyses, and congress intelligence Deliver timely, actionable insights to inform go-to-market strategies, product development, and positioning Develop executive-ready materials and briefings to support leadership decision-making Represent the organization as the primary point of contact for competitive intelligence and at key congresses Commercial Data Analytics and Capability Building Expand and optimize the organization’s data ecosystem, including evaluation and integration of new data sources and tools Lead development of dashboards, KPIs, and performance tracking frameworks to enable data-driven decision-making Apply advanced analytics, statistical modeling, and trend analysis to generate insights from internal and external data Translate complex data into compelling narratives and recommendations that influence business action Educate stakeholders on data tools, dashboards, and data literacy to drive adoption and impact Ensure adherence to data governance, compliance, and privacy standards Education and Skills Requirements: Bachelor’s degree required; advanced degree (MBA, PhD, PharmD) preferred 10+ years of experience in forecasting, market research, competitive intelligence, and/or data analytics within biotech or pharmaceutical environments Experience supporting product launches and/or rare disease markets preferred Strong understanding of regulatory and compliance considerations related to market research and data usage in pharma/biotech Demonstrated ability to synthesize complex data and communicate insights clearly to diverse audiences, including senior leadership Exceptional data storytelling skills with expertise in translating insights into impactful presentations and recommendations Proven ability to lead through influence in a cross-functional, matrixed environment Experience managing external vendors, including negotiation, scope management, and performance oversight Strong business acumen with the ability to connect insights to strategic and operational decisions Ability to operate effectively in a fast-paced, dynamic environment while managing multiple priorities Demonstrates high standards of professionalism, integrity, and accountability #LI-Onsite MA Pay Range $190,000—$240,000 USD The pay range reflects the base pay range Dyne reasonably expects to pay for this role at the time of posting. Individual compensation depends on factors such as education, experience, job-related knowledge, and demonstrated skills. The statements contained herein reflect general details as necessary to describe the principles functions for this job, the level of knowledge and skill typically required, and the scope of responsibility, but should not be considered an all-inclusive listing of work requirements. Individuals may perform other duties as assigned, including work in other functional areas to cover absences or relief, to equalize peak work periods or otherwise balance workload. Dyne Therapeutics is an equal opportunity employer and will not discriminate against any employee or applicant on the basis of age, color, disability, gender, national origin, race, religion, sexual orientation, veteran status, or any classification protected by federal, state, or local law.", "summaryDescription" : "Director, Insights and Analytics at Dyne Therapeutics. Skills: Statistical modeling, Data analysis. Analyze experimental data. Develop statistical models", "postedDate" : "2026-06-15T23:23:00.223", "createdAt" : "2026-06-15T23:23:00.223", "lastUpdated" : "2026-06-16T08:31:17.425", "ingestTimestamp" : "2026-06-15T23:23:00.223", "mongoId" : "6a305b67f292fd229cf5d4fc", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 190000, "salaryAnnualMax" : 240000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Statistical modeling", "Experimental design", "Data analysis", "Statistical analysis", "Data visualization", "Biotechnology", "Drug discovery", "JMP", "Spotfire", "R", "Python", "SQL" ], "skillCount" : 12, "jobCategory" : "finance", "jobSubcategory" : "accounting", "seniorityLevel" : "Director", "dataQualityScore" : 1.0, "_score" : 977.22473, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Biotech", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2a490274d8ee00a05e333e", "title" : "Associate Director, Business Analytics", "company" : "Omnicom Media", "industry" : "Healthcare", "salary" : { "min" : 110000.0, "max" : 135000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "United States", "locations" : [ "United States" ], "timestamp" : "2026-06-12T22:01:38.556", "fingerprint" : "f85e8da1dc6e5975261d028a617d43ca0c84dc48a586de556b4700b4caee883b", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/mediabrands/jobs/5138345007", "externalId" : "5138345007", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Chicago", "state" : "Illinois", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "41.8755616,-87.6244212" }, { "city" : "Tel Aviv", "country" : "Israel", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "32.0852997,34.7818064" }, { "country" : "United States", "continent" : "na", "workMode" : "onsite" } ], "locationText" : "Chicago, Illinois, United States; Tel Aviv, Israel; United States", "experienceLevel" : "Director", "technicalSkills" : "SQL, Tableau", "professionalSkills" : [ "Campaign analytics", "Performance measurement", "Optimization", "Insight generation", "Omnichannel analytics", "Client partnership", "Strategic storytelling", "Measurement planning", "Audience activation", "Performance intelligence" ], "hardSkillsList" : [ "Data analysis", "Data visualization", "Statistical analysis", "Campaign optimization", "Measurement frameworks" ], "softSkillsList" : [ "Leadership" ], "hardSkills" : [ { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Data visualization", "level" : "intermediate" }, { "name" : "Statistical analysis", "level" : "intermediate" }, { "name" : "Campaign optimization", "level" : "intermediate" }, { "name" : "Measurement frameworks", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" } ], "majorSkills" : "Business Analytics, Healthcare analytics, Campaign measurement, Data insights", "majorSkillsList" : [ "Business Analytics", "Healthcare analytics", "Campaign measurement", "Data insights" ], "coreResponsibilities" : "Support analytics leadership across HCP and DTC initiatives, Partner with client stakeholders, Understand business objectives, Understand measurement priorities, Understand reporting needs, Lead analytics discussions, Optimize campaign performance, Generate audience insights, Provide actionable recommendations, Present analytics findings, Present strategic insights, Support measurement plan development, Support measurement plan maintenance, Align campaign goals with KPIs, Align campaign goals with audience strategies, Align campaign goals with optimization frameworks, Operationalize measurement approaches, Manage day-to-day analytics workflows, Manage analytics deliverables, Oversee dashboard development, Oversee campaign reporting development, Oversee analytical summary development, Oversee optimization recommendation development, Oversee QBR material development, Ensure analytical quality, Ensure analytical consistency, Ensure analytical timeliness, Support operational processes, Improve scalability of analytics delivery, Improve efficiency of analytics delivery, Translate data into insights, Translate data into recommendations, Identify optimization opportunities, Operationalize insights into activation strategies, Develop analytics frameworks, Improve campaign performance, Improve decision-making, Stay informed on measurement methodologies, Stay informed on healthcare analytics trends, Support POV development on analytics vendors, Support POV development on data providers, Support POV development on measurement partners, Assist with vendor evaluations, Assist with research initiatives, Assist with measurement-related RFPs, Partner on advanced analytics initiatives, Partner on advanced measurement initiatives, Collaborate with Audience Strategy, Collaborate with Data Science, Collaborate with Data Management, Collaborate with Comms Design, Collaborate with Investment, Collaborate with Client Solutions leadership, Ensure alignment between analytics outputs and media strategy, Ensure alignment between analytics outputs and audience activation, Ensure alignment between analytics outputs and optimization initiatives, Serve as a collaborative bridge", "teamCollaboration" : "Cross-functional teams; Client teams; Analytics and activation teams", "domainKnowledge" : "Healthcare media ecosystems; HCP media; DTC media; Patient engagement analytics; Campaign measurement; Omnichannel analytics; Media optimization; Healthcare data ecosystems; Attribution methodologies; Audience analytics; Digital optimization frameworks; Measurement methodologies; Healthcare analytics trends; Incrementality testing; Digital optimization; Omnichannel analytics", "domainList" : [ "healthcare-media-ecosystems", "hcp-media", "dtc-media", "patient-engagement-analytics", "campaign-measurement", "omnichannel-analytics", "media-optimization", "healthcare-data-ecosystems", "attribution-methodologies", "audience-analytics", "digital-optimization-frameworks", "measurement-methodologies", "healthcare-analytics-trends", "incrementality-testing", "digital-optimization" ], "domainSpecificKnowledge" : [ "Healthcare media ecosystems", "HCP media", "DTC media", "Patient engagement analytics", "Campaign measurement", "Omnichannel analytics", "Media optimization", "Healthcare data ecosystems", "Attribution methodologies", "Audience analytics", "Digital optimization frameworks", "Measurement methodologies", "Healthcare analytics trends", "Incrementality testing", "Digital optimization", "Omnichannel analytics" ], "toolProficiency" : [ "Tableau", "BI platforms" ], "communicationSkills" : "Client presentations; Strategic storytelling", "problemSolvingSkills" : "Analytical thinking", "qualificationsBasic" : "5+ years of experience in analytics, Healthcare/pharma analytics experience, Experience developing campaign analytics frameworks, Experience developing dashboards and reporting solutions, Experience developing measurement plans, Experience developing client-facing presentations, Familiarity with attribution methodologies, Familiarity with audience analytics, Familiarity with digital optimization frameworks, Familiarity with healthcare data ecosystems, Analytical skills, Communication skills, Presentation skills, Experience working in cross-functional client environments, SQL preferred", "qualificationsPreferred" : "Advanced analytics tools a plus", "rawDescription" : "Position Summary The Associate Director, Business Analytics — HCP & DTC Client Solutions will support the leadership of analytics, measurement, and accountability initiatives for a major healthcare client across both HCP and DTC / patient media programs. This role is responsible for helping drive integrated campaign analytics, performance measurement, optimization, and insight generation across all channels and audience initiatives. The Associate Director will partner closely with Business Analytics leadership, Audience Intelligence, Data Science, Comms Design, Investment, and client teams to ensure analytics outputs are actionable, scalable, and aligned to business objectives. This role combines strong analytical thinking, client partnership, operational leadership, and strategic storytelling to help evolve analytics from descriptive reporting toward proactive decision support. The position requires a strong understanding of healthcare media ecosystems, omnichannel analytics, campaign measurement, and optimization frameworks across both HCP and DTC initiatives. Responsibilities Client Analytics & Strategic Support Support analytics leadership across HCP and DTC / patient initiatives for a major healthcare client Partner with client stakeholders to understand business objectives, measurement priorities, and reporting needs Help lead analytics discussions focused on: campaign performance optimization opportunities audience insights actionable recommendations Support presentation of analytics findings and strategic insights to client teams Measurement Planning & Accountability Support development and maintenance of integrated measurement plans across HCP and DTC campaigns Ensure alignment between: campaign goals KPIs audience strategies optimization frameworks Help operationalize measurement approaches spanning: endemic and non-endemic HCP media DTC media audience activation initiatives omnichannel engagement programs Support evolution from static reporting toward more integrated performance intelligence frameworks Analytics Delivery & Workflow Management Help manage day-to-day analytics workflows and deliverables across the client business Oversee development of: dashboards campaign reporting analytical summaries optimization recommendations QBR materials Ensure analytical quality, consistency, and timeliness across deliverables Support operational processes that improve scalability and efficiency of analytics delivery Insight Generation & Optimization Translate campaign and audience data into actionable insights and recommendations Identify opportunities for optimization across: channels tactics audiences media investments Partner with Audience Intelligence, Comms Design, Investment, and Data Science teams to help operationalize insights into activation strategies Support development of analytics frameworks that improve campaign performance and decision-making Advanced Analytics & Measurement Support Stay informed on emerging measurement methodologies and healthcare analytics trends including: attribution audience quality measurement incrementality testing digital optimization omnichannel analytics Support POV development on analytics vendors, data providers, and measurement partners Assist with vendor evaluations, research initiatives, and measurement-related RFPs where appropriate Partner with Data Science and Audience Intelligence teams on advanced analytics initiatives Cross-Functional Collaboration Partner closely with: Audience Strategy Data Science Data Management Comms Design Investment Client Solutions leadership Help ensure alignment between analytics outputs, media strategy, audience activation, and optimization initiatives Serve as a collaborative bridge across analytics and activation teams Required Skills & Experience 5+ years of experience in analytics, marketing science, media analytics, or business intelligence Healthcare/pharma analytics experience strongly preferred Strong understanding of: HCP media ecosystems DTC / patient engagement analytics campaign measurement omnichannel analytics media optimization Experience developing: campaign analytics frameworks dashboards and reporting solutions measurement plans client-facing presentations Familiarity with: attribution methodologies audience analytics digital optimization frameworks healthcare data ecosystems Strong analytical, communication, and presentation skills Experience working in cross-functional client environments Experience with: Tableau or BI platforms SQL preferred advanced analytics tools a plus Wage and Benefits We offer a Total Rewards package that includes medical and dental coverage, 401(k) plans, flex spending, life insurance, disability, employee discount program, employee stock purchase program and paid family benefits to support you and your family. The salary range for this position is posted below. Where an employee or prospective employee is paid within this range will depend on, among other factors, actual ranges for current/former employees in the subject position, market considerations, budgetary considerations, tenure and standing with the Company (applicable to current employees), as well as the employee’s/applicant’s skill set, level of experience, and qualifications. Employment Transparency It is our policy to provide equal employment opportunities to all employees and applicants for employment without regard to race, color, ethnicity, gender, age, religion, creed, national origin, sexual orientation, gender identity, marital status, citizenship, genetic information, veteran status, disability, or any other basis prohibited by applicable federal, state, or local law. Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties, or responsibilities that are required of the employee for this job. Duties, responsibilities, and activities may change at any time with or without notice. The employer will make reasonable accommodations in compliance with the American with Disabilities Act of 1990. The job description will be reviewed periodically as duties and responsibilities change with business necessity. Essential and other job functions are subject to modification. Reasonable accommodations may be provided to enable individuals with disabilities to perform the essential functions. For applicants to jobs in the United States: In compliance with the current Americans with Disabilities Act and state and local laws, if you have a disability and would like to request an accommodation to apply for a position with Mediabrands, please email accommodation@mbww.com. Salary Range $110,000—$135,000 USD", "summaryDescription" : "Associate Director, Business Analytics at Omnicom Media. Skills: Business Analytics, Healthcare analytics, Campaign measurement, Data insights. Support analytics leadership across HCP and DTC initiatives. Partner with client stakeholders", "postedDate" : "2026-06-11T17:06:49.530", "createdAt" : "2026-06-11T17:06:49.530", "lastUpdated" : "2026-06-12T22:01:38.556", "ingestTimestamp" : "2026-06-11T17:06:49.530", "mongoId" : "6a2a490274d8ee00a05e333e", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 110000, "salaryAnnualMax" : 135000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Data analysis", "Data visualization", "Statistical analysis", "Campaign optimization", "Measurement frameworks", "Leadership", "Business Analytics", "Healthcare analytics", "Campaign measurement", "Data insights", "Campaign analytics", "Performance measurement", "Optimization", "Insight generation", "Omnichannel analytics", "Client partnership", "Strategic storytelling", "Measurement planning", "Audience activation", "Performance intelligence", "Healthcare media ecosystems", "HCP media", "DTC media", "Patient engagement analytics", "Media optimization", "Healthcare data ecosystems", "Attribution methodologies", "Audience analytics", "Digital optimization frameworks", "Measurement methodologies", "Healthcare analytics trends", "Incrementality testing", "Digital optimization", "Tableau", "BI platforms" ], "skillCount" : 35, "jobCategory" : "other", "jobSubcategory" : "mediabrands---united-states", "dataQualityScore" : 0.8888889, "_score" : 966.16156, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Healthcare" }, { "id" : "6a2c6cb674d8ee00a091ac93", "title" : "Associate Director R&D AI Solutions & Analytics", "company" : "Acadia Pharmaceuticals Inc.", "industry" : "Pharma", "salary" : { "min" : 225000.0, "max" : 325000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline compensation for an Associate Director R&D AI Solutions & Analytics in Princeton, United States, adjusted for seniority, industry (Biotech), and company size." }, "location" : "Princeton, New Jersey, United States", "locations" : [ "Princeton", "New Jersey", "United States", "San Diego", "California", "United States", "South San Francisco", "California", "United States" ], "certifications" : [ "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified" ], "timestamp" : "2026-06-15T21:17:23.257", "fingerprint" : "47e7b5072724c2c221a02b3875298aa6832fa653c09c9a4b8abe981d75cf4692", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://acadia.com/en-us/careers/job-board/8575535002?gh_jid=8575535002", "externalId" : "8575535002", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Princeton", "state" : "New Jersey", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "40.3496953,-74.6597376" }, { "city" : "San Diego", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "32.7174202,-117.1627720" }, { "city" : "San Francisco", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "37.7879363,-122.4075201" } ], "locationText" : "Princeton, New Jersey, United States; San Diego, California, United States; San Francisco, California, United States", "experienceLevel" : "Director", "technicalSkills" : "SQL, Python, R, Scala, Spark, Dbt, Tableau, Power BI, Looker, Snowflake, BigQuery, Redshift, Databricks, Fivetran, Airflow, Delta Lake, Scikit-learn, TensorFlow, PyTorch, XGBoost, LightGBM, Hugging Face, MLflow, AWS, S3, Glue, SageMaker, Athena, GCP, Vertex AI, Azure, Synapse, ML Studio", "professionalSkills" : [ "Quantitative analysis", "Business intelligence", "Analytics engineering", "Data engineering", "Data science", "Machine learning", "AI solutions" ], "hardSkillsList" : [ "Statistical methods", "ML frameworks", "BI platforms", "Cloud data stacks", "Modelling skills", "Regression", "Classification", "Clustering", "Time-series analysis", "A/B testing", "Causal inference" ], "hardSkills" : [ { "name" : "Statistical methods", "level" : "intermediate" }, { "name" : "ML frameworks", "level" : "intermediate" }, { "name" : "BI platforms", "level" : "intermediate" }, { "name" : "Cloud data stacks", "level" : "intermediate" }, { "name" : "Modelling skills", "level" : "intermediate" }, { "name" : "Regression", "level" : "intermediate" }, { "name" : "Classification", "level" : "intermediate" }, { "name" : "Clustering", "level" : "intermediate" }, { "name" : "Time-series analysis", "level" : "intermediate" }, { "name" : "A/B testing", "level" : "intermediate" }, { "name" : "Causal inference", "level" : "intermediate" } ], "majorSkills" : "Data Science, AI Solutions, Analytics, Machine Learning", "majorSkillsList" : [ "Data Science", "AI Solutions", "Analytics", "Machine Learning" ], "coreResponsibilities" : "Develop and implement advanced AI and data science, Lead data engineering initiatives, Build and maintain business intelligence dashboards, Perform quantitative analysis, Apply statistical methods and ML frameworks, Manage cloud data platforms, Develop predictive models, Ensure data quality and integrity, Collaborate with cross-functional teams, Communicate findings to stakeholders", "teamCollaboration" : "Cross-functional teams; Stakeholders", "domainKnowledge" : "Research and Development", "domainList" : [ "research-and-development" ], "domainSpecificKnowledge" : [ "Research and Development" ], "toolProficiency" : [ "SQL", "Python", "R", "Spark", "Dbt", "Tableau", "Power BI", "Looker", "Snowflake", "BigQuery", "Redshift", "Databricks", "Airflow", "Scikit-learn", "TensorFlow", "PyTorch", "AWS", "GCP", "Azure" ], "qualificationsBasic" : "5+ years of experience in data science or analytics, Proficiency in SQL, Bachelor's degree in Statistics, Computer Science, Mathematics, or related field", "qualificationsPreferred" : "PhD preferred, Experience with specific ML frameworks, Cloud platform certifications", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "About Acadia Pharmaceuticals Acadia is committed to turning scientific promise into meaningful innovation that makes the difference for underserved neurological and rare disease communities around the world. Our commercial portfolio includes the first and only FDA-approved treatments for Parkinson’s disease psychosis and Rett syndrome. We are developing the next wave of therapeutic advancements with a robust and diverse pipeline that includes mid- to late-stage programs in Alzheimer’s disease psychosis and Lewy body dementia psychosis, along with earlier-stage programs that address other underserved patient needs. At Acadia, we’re here to be their difference. Please note that this position can be based in San Diego, CA, San Francisco, CA, or Princeton, NJ. Acadia's hybrid model requires this role to work in our office three days per week on average. Position Summary The Associate Director, R&D AI Solutions & Analytics will serve as a strategic and technical leader responsible for advancing AI-enabled analytics and digital innovation capabilities across Research & Development (R&D). This role will focus on leading the design, implementation, scaling, and adoption of analytics and AI-driven solutions that improve decision-making, optimize clinical development operations, and enhance portfolio insights across the organization. The individual will partner closely with R&D stakeholders, Digital/IT teams, and external vendors to deliver scalable analytics products, intelligent workflows, AI-enabled solutions, and operational insights capabilities. This role requires a highly collaborative and execution-oriented leader who thrives in fast-paced innovative environments and can balance strategic thinking with hands-on solution delivery. Primary Responsibilities Drive build and adoption of R&D analytics and AI solutions through stakeholder engagement, user feedback, and performance measurement. Support development of a high-performing innovative culture focused on experimentation, agility, collaboration, and measurable impact. Promote scalable and reusable approaches to R&D analytics delivery, AI enablement, and operational intelligence. Provide mentorship and technical guidance to junior team members, contractors, and project contributors as appropriate. Lead rapid prototyping, proof-of-concept development, and innovation initiatives aligned with enterprise R&D priorities. Collaborate with Digital/IT organizations and external vendors to support deployment and integration of enterprise AI and analytics solutions. Support implementation and scaling of AI-powered use cases including clinical operations copilots, enrollment analytics, workflow automation, and decision-support tools. Partner with R&D stakeholders to identify, prioritize, and execute high-value analytics and AI use cases aligned with business objectives. Drive development and operationalization of scalable dashboards, operational metrics, and intelligent analytics products to improve clinical and operational performance. Lead the design and scaling of insights through analytics and AI-enabled solutions supporting Clinical Development, Clinical Operations, Portfolio Strategy, and broader R&D functions. Other responsibilities as assigned. Education/Experience/Skills Bachelor’s degree in Data Science, Computer Science, Engineering, Life Sciences, Business Analytics, or a related field 8+ years of experience in analytics, AI solutions, or digital innovation within pharmaceutical, biotech, or healthcare environments Hands-on experience developing AI-driven data products, analytics solutions, and operational dashboards Experience working within regulated R&D environments including clinical development, safety, or regulatory Knowledge of industry data standards such as CDISC and FHIR Experience partnering with Digital/IT teams and external vendors to implement enterprise analytics and AI solutions Ability to manage multiple concurrent initiatives and deliver scalable analytics products aligned to business priorities Willingness to travel domestically and internationally Physical Requirements This role involves regular standing, walking, sitting, and the use of hands for handling or operating equipment. The employee may also need to reach, climb, balance, stoop, kneel, crouch, and maintain visual, verbal, and auditory communication in a standard office environment and while working independently from remote locations. The employee must occasionally lift and/or move up to 20 pounds. This position requires the ability to travel independently overnight and/or work after hours as required by travel schedules or business needs. #LI-HYBRID #LI-CS1 In addition to a competitive base salary, this position is also eligible for discretionary bonus and equity awards based on factors such as individual and organizational performance. Actual amounts will vary depending on experience, performance, and location. Salary Range $156,000—$195,600 USD What we offer US-based Employees: Competitive base, bonus, new hire and ongoing equity packages Medical, dental, and vision insurance Employer-paid life, disability, business travel and EAP coverage 401(k) Plan with a fully vested company match 1:1 up to 5% Employee Stock Purchase Plan with a 2-year purchase price lock-in 15+ vacation days 13 -15 paid holidays, including office closure between December 24th and January 1st 10 days of paid sick time Paid parental leave benefit Tuition assistance EEO Statement (US-based Employees): Studies have shown that women and people of color are less likely to apply for jobs unless they believe they meet every one of the qualifications in the exact way they are described in job postings. We are committed to building a diverse, equitable, inclusive, and innovative company, and we are looking for the BEST candidate for the job. That candidate may be one who comes from a less traditional background or may meet the qualifications in a different way. We strongly encourage you to apply, especially if the reason you are the best candidate isn’t exactly what we describe here. It is the policy of Acadia to provide equal employment opportunities to all employees and employment applicants without regard to considerations of race, including related to hairstyle, color, religion or religious creed, sexual orientation, gender, gender identity, gender expression, gender transition, country of origin, ancestry, citizenship, age, physical or mental disability, genetic information, legally-protected medical condition or information, marital status, domestic partner status, family care status, military caregiver status, veteran or military status (including reserve status, National Guard status, and military service or obligation), status as a victim of domestic violence, sexual assault or stalking, enrollment in a public assistance program, or any basis protected under federal, state or local law. As an equal opportunity employer, Acadia is committed to a diverse workforce. If you are a qualified individual with a disability or a disabled veteran, you have the right to request a reasonable accommodation. Furthermore, you may request additional support if you are unable or limited in your ability to use or access Acadia’s career website due to your disability, along with any accommodations throughout the interview process. To request or inquire about your reasonable accommodation, please complete our Reasonable Accommodation Request Form or contact us at talentacquisition@acadia-pharm.com or 858-261-2923. Please note that reasonable accommodations granted throughout the recruiting process are not guaranteed to be the same accommodations given if hired. A new request will need to be submitted for any ADA accommodations after starting employment. California Applicants: Please see Additional Information for California Residents within our Privacy Policy. Canadian Applicants: Please see Additional Information for Canadian Residents within our Privacy Policy. Applicants in the European Economic Area, Switzerland, the United Kingdom, and Serbia: Please see Additional Information for Individuals in the European Economic Area, Switzerland, the United Kingdom, and Serbia within our Privacy Policy. Notice to Search Firms/Third-Party Recruitment Agencies (Recruiters): The Talent Acquisition team manages the recruitment and employment process for Acadia Pharmaceuticals Inc. (“Acadia”). Acadia does not accept resumes from recruiters or search firms without an executed search agreement in place. Resumes sent to Acadia employees in the absence of an executed search agreement will not obligate Acadia in any way with respect to the future employment of those individuals or potential remuneration to any recruiter or search firm. Candidates should never be submitted directly to our hiring managers or employees.", "summaryDescription" : "Associate Director R&D AI Solutions & Analytics at Acadia Pharmaceuticals Inc.. Skills: Data Science, AI Solutions, Analytics, Machine Learning. Develop and implement advanced AI and data science. 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International collaboration; Cross-cultural basis", "domainKnowledge" : "SaaS GTM metrics; SaaS Finance metrics; SaaS HR metrics; SOX compliance", "domainList" : [ "saas-gtm-metrics", "saas-finance-metrics", "saas-hr-metrics", "sox-compliance" ], "domainSpecificKnowledge" : [ "SaaS GTM metrics", "SaaS Finance metrics", "SaaS HR metrics", "SOX compliance" ], "toolProficiency" : [ "Tableau", "Power BI", "Looker", "Metabase", "Superset", "Qlik", "MicroStrategy", "SageMaker", "Vertex AI", "ML Studio" ], "communicationSkills" : "Translate technical challenges; Business outcomes; Strategic recommendations", "problemSolvingSkills" : "Data-driven decision making", "qualificationsBasic" : "Bachelor's degree, 5+ years experience building reporting suites, SQL proficiency, Experience in SOX-compliant environment", "qualificationsPreferred" : "Master's degree preferred, PhD preferred, GCP Professional Data Engineer certification, AWS Data Analytics certification, Databricks Certified certification, dbt Certified certification", "workSiteFlexibility" : "Onsite", "rawDescription" : "Yext (NYSE: YEXT) is the enterprise agentic marketing platform. AI is changing how customers find brands, and Yext gives enterprises the infrastructure to compete: Scout analyzes 10 billion signals monthly across four AI models to surface where you're losing and why, the Knowledge Graph maintains the verified data AI cites, and content generation and distribution agents syndicate brand content across LLMs, listings, social platforms, and review sites in real time. Thousands of brands in financial services, healthcare, retail, hospitality, and food rely on Yext to win across AI and traditional search. Join us and experience firsthand why we are consistently recognized as a Best Place to Work globally by Built In, Fortune, and Great Place To Work®. Yext is seeking a visionary and highly technical Director, Enterprise Data experience building executive-level reporting suites that distill complex data into clear business narratives. Functional Fluency: Strong understanding of the data structures and key metrics for SaaS businesses associated with GTM (LTV, CAC, Pipeline), Finance (ARR, Churn, GAAP Revenue), and HR (Headcount, Attrition). Security Mindset: A background in managing data within a SOX-compliant environment, with a deep commitment to data privacy and access control. AI Enthusiast: A proven interest or early-stage experience in implementing AI/ML frameworks to solve internal business problems. Strategic Communicator: Ability to influence stakeholders at all levels, translating technical data challenges into business outcomes and strategic recommendations. Leadership experience with a proven ability to partner cross-functionally and on an international, cross-cultural basis. Education: Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related quantitative field. #LI-JB2 Pay ranges at Yext are established based on an analysis of salaries for positions with a similar level of accountability and impact in the relevant labor market. Salary levels are expected to change to reflect an employee’s job performance (results and impact) over time. Salaries at the time of hire are typically offered in the lower to middle of the above-referenced range in order to provide the opportunity to reflect performance-based increases over time. In addition to base salaries, employees at Yext are typically eligible for a comprehensive package of benefits including medical, dental and vision benefits; life insurance; short term and long-term disability; 401(k) retirement plan; and vacation and sick leave. Successful candidates may also be eligible for variable pay programs based on performance relative to goals and targets. Annual Base Pay Range $217,000—$325,000 USD Yext is an equal opportunity employer committed to building a results-driven, engaging culture where every employee has the opportunity to contribute to the success of the Company, perform at the highest possible level, and grow their skills and capabilities. Yext welcomes employees and applicants of all backgrounds and demographics, and does not engage in discrimination on the basis of any protected characteristic recognized under applicable law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. The Company believes a broad variety of life experiences across the Yext team is critical to its mission to help every business in the world be visible everywhere customers search. By seeking out fresh perspectives and fostering a positive interview experience and employee experience, Yext can remain at the forefront of innovation, and better serve its customers. It is Yext’s policy to provide reasonable accommodations to people with disabilities as required by applicable law. If you have a disability that requires an accommodation in completing this application, interviewing, or participating in the employee selection process, please complete this form. Security Alert All legitimate Yext communications come from @yext.com email addresses. Messages from other domains (for example, @yext.team) are not authorized and are likely fraudulent. If you receive a message that seems suspicious, do not share personal information, click on links, or provide payment. Instead, please report the communication to security@yext.com.", "summaryDescription" : "Director, Enterprise Data & Analytics at Yext. Skills: Data Engineering, Machine Learning, Business Intelligence, Analytics Engineering. Build executive-level reporting suites. Distill complex data into business narratives", "postedDate" : "2026-06-11T18:23:33.590", "createdAt" : "2026-06-11T18:23:33.590", "lastUpdated" : "2026-06-13T04:55:00.973", "ingestTimestamp" : "2026-06-11T18:23:33.590", "mongoId" : "6a2a47cb74d8ee00a05dc387", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 220000, "salaryAnnualMax" : 320000, "salaryBand" : "200k+", "hasSalary" : true, "allSkills" : [ "Quantitative analysis", "Statistical methods", "Regression", "Classification", "Clustering", "Time-series analysis", "A/B testing", "Causal inference", "Data modelling", "Leadership", "Strategic communicator", "Data Engineering", "Machine Learning", "Business Intelligence", "Analytics Engineering", "SaaS metrics", "Data structures", "Executive reporting", "Business narratives", "Data privacy", "Access control", "AI implementation", "ML implementation", "SaaS GTM metrics", "SaaS Finance metrics", "SaaS HR metrics", "SOX compliance", "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "dbt Certified", "Tableau", "Power BI", "Looker", "Metabase", "Superset", "Qlik", "MicroStrategy", "SageMaker", "Vertex AI", "ML Studio" ], "skillCount" : 41, "jobCategory" : "other", "jobSubcategory" : "(29)-it-business-applications", "dataQualityScore" : 0.8888889, "_score" : 944.4342, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology" }, { "id" : "6a2c5ddf74d8ee00a08df2db", "title" : "Risk Technology Analyst Intern (Summer 2027)", "company" : "Walleye Capital", "industry" : "Financial Services", "salary" : { "min" : 60000.0, "max" : 85000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for entry-level internships in New York, adjusted for the FinTech industry." }, "location" : "New York, New York, United States", "locations" : [ "New York", "New York", "United States" ], "timestamp" : "2026-06-15T00:36:53.760", "fingerprint" : "0a91a55ca875d23e5dc72afb9a0598bb9094a1a980a1fcd17efd56f92e5af1f2", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/walleyecapital-external-students/jobs/4679224006", "externalId" : "4679224006", "industryFunction" : { }, "structuredLocations" : [ { "city" : "New York", "state" : "New York", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "40.7127281,-74.0060152" } ], "locationText" : "New York, New York, United States", "employmentType" : "INTERNSHIP", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "Entry", "technicalSkills" : "Python, R, MATLAB, SQL, Bloomberg Terminal, Reuters Eikon, FactSet, Murex, Calypso", "professionalSkills" : [ "Risk management", "Portfolio construction", "Quantitative analysis", "Data pipelines", "System architecture", "Performance attribution" ], "hardSkillsList" : [ "Risk analytics", "Data analysis", "System development", "Scalability", "Reliability", "Performance attribution", "Factor analysis", "Sector analysis", "Macro risk analysis" ], "softSkillsList" : [ "Intellectual curiosity", "Integrity" ], "hardSkills" : [ { "name" : "Risk analytics", "level" : "intermediate" }, { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "System development", "level" : "intermediate" }, { "name" : "Scalability", "level" : "intermediate" }, { "name" : "Reliability", "level" : "intermediate" }, { "name" : "Performance attribution", "level" : "intermediate" }, { "name" : "Factor analysis", "level" : "intermediate" }, { "name" : "Sector analysis", "level" : "intermediate" }, { "name" : "Macro risk analysis", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Intellectual curiosity" }, { "name" : "Integrity" } ], "majorSkills" : "Risk technology, Data pipelines, Portfolio risk, Market behavior", "majorSkillsList" : [ "Risk technology", "Data pipelines", "Portfolio risk", "Market behavior" ], "coreResponsibilities" : "Build data pipelines for risk analytics, Maintain data pipelines for risk analytics, Develop tools for monitoring portfolio risk, Develop applications for monitoring portfolio risk, Improve performance of risk infrastructure, Improve scalability of risk infrastructure, Improve reliability of risk infrastructure, Analyze portfolio exposures, Support performance attribution, Support P analysis", "teamCollaboration" : "Partner with risk managers; Partner with quantitative researchers; Partner with investment teams; Partner with engineers; Work with technical stakeholders; Work with non-technical stakeholders", "domainKnowledge" : "Financial markets; Portfolio construction; Risk management; Asset classes; Factor risk; Sector risk; Macro risk", "domainList" : [ "financial-markets", "portfolio-construction", "risk-management", "asset-classes", "factor-risk", "sector-risk", "macro-risk" ], "domainSpecificKnowledge" : [ "Financial markets", "Portfolio construction", "Risk management", "Asset classes", "Factor risk", "Sector risk", "Macro risk" ], "toolProficiency" : [ "Bloomberg Terminal", "Reuters Eikon", "FactSet", "Murex", "Calypso" ], "communicationSkills" : "Synthesize complex information; Concise takeaways", "problemSolvingSkills" : "Analytical mindset; Quantitative techniques", "qualificationsBasic" : "10 weeks internship length, Summer 2027 internship", "qualificationsPreferred" : "Data systems experience a plus, APIs experience a plus, Distributed computing frameworks experience a plus, Interest in building scalable solutions, Interest in financial markets, Interest in portfolio construction, Interest in risk management, AI tools application interest", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Position: Risk Technology Analyst Intern (Summer 2027) Location: New York, NY Firm Overview: Walleye Capital is a ~$16 billion+ multi-strategy investment firm headquartered in New York City, with over 350 employees across five main offices. Founded in 2005 as an options market maker, we have organically grown into a global investment firm specializing in Fundamental Equities, Quant, and Volatility strategies. At Walleye, we continuously innovate by focusing on three core principles: approach, platform, and people. Our approach is to allocate risk capital where we believe there is not only a compelling opportunity, but also a clear ability to define our tangible edge. We seek to leverage the mathematical benefits of diversification while utilizing sophisticated infrastructure, technology, and our balance sheet to do so in a structurally advantageous way. Our platform, developed over two decades, is central to our operations, evolving alongside business complexities and technological advancements to support our team’s success. Our people are our greatest asset, and we’ve cultivated an environment that attracts top talent by balancing autonomy with collaboration, and intelligence with integrity. Position Overview: Walleye Capital is seeking Risk Technology Analyst Interns for Summer 2027. In this role, you'll work at the intersection of technology and markets — helping build and scale the systems that power the firm's risk management platform while developing hands-on intuition around portfolio construction and market behavior. You'll partner closely with risk managers, quantitative researchers, investment teams, and engineers to analyze portfolio risk and develop tools, infrastructure, and data pipelines that support real-time risk monitoring across strategies. You’ll gain hands-on experience building production-quality solutions in a fast-paced environment while also developing intuition around portfolio construction and market behavior. This internship is ideal for students with a strong analytical mindset, a passion for financial markets, and an interest in applying quantitative techniques to solve complex problems. The internship is 10 weeks in length and will take place in New York City from June to August 2027. Responsibilities: Design, build, and maintain data pipelines that support real-time and end-of-day risk analytics. Develop tools and applications used for monitoring portfolio risk, including dashboards and internal systems. Improve the performance, scalability, and reliability of the firm's risk infrastructure. Analyze portfolio exposures across asset classes, including factor, sector, and macro risk dimensions. Support performance attribution and P experience with data systems, APIs, or distributed computing frameworks is a plus. Think in terms of systems and architecture, with an interest in building scalable and maintainable solutions. Have a strong interest in financial markets, portfolio construction, and risk management. Are intellectually curious, detail-oriented, and comfortable working in a fast-paced, collaborative environment. Communicate clearly, with the ability to synthesize complex information into concise takeaways for both a technical and non-technical audience. Are enthusiastic about applying modern technologies, including AI tools, to enhance development workflows and analyses. Thrive in a collaborative environment, working closely with both technical and non-technical stakeholders. Pay Range: The expected monthly pay for this position is $14,000/month. Interns will also receive a $10,000 housing stipend and transportation to and from New York City (domestic travel only). The deadline to apply for this opportunity is Friday, July 31 at 11:59pm ET. For questions about the process, please review our Campus FAQs. Walleye is an equal opportunity employer. Individuals seeking employment are considered without regard to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, sexual orientation, or any other category protected by applicable law. If you require a reasonable accommodation to participate in any part of our hiring process, please contact HR@walleyecapital.com. Personal data you provide will be processed in accordance with Walleye Capital LLC’s Privacy Notice available at: https://www.walleyecapital.com/.", "summaryDescription" : "Risk Technology Analyst Intern (Summer 2027) at Walleye Capital. Skills: Risk technology, Data pipelines, Portfolio risk, Market behavior. Build data pipelines for risk analytics. 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{ "name" : "Compliance", "level" : "intermediate" }, { "name" : "M&A cybersecurity", "level" : "intermediate" }, { "name" : "Regulatory compliance", "level" : "intermediate" }, { "name" : "Pharmaceutical regulations", "level" : "intermediate" }, { "name" : "SOX", "level" : "intermediate" }, { "name" : "FDA GxP", "level" : "intermediate" }, { "name" : "PCI DSS", "level" : "intermediate" }, { "name" : "MA201", "level" : "intermediate" }, { "name" : "Safe Harbor", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" } ], "majorSkills" : "Cyber Governance, Risk Management, Compliance, M&A Cybersecurity", "majorSkillsList" : [ "Cyber Governance", "Risk Management", "Compliance", "M&A Cybersecurity" ], "coreResponsibilities" : "Serve as cybersecurity and technology risk advisor, Embed security-by-design principles, Embed compliant-by-design principles, Translate cybersecurity strategy into guidance, Identify information security risks, Assess information security risks, Manage information security risks, Mitigate risks, Accept risks, Escalate risks, Provide independent risk insight, Provide control assurance, Support audit readiness, Support regulatory inspections, Support remediation execution, Monitor risk posture, Monitor control effectiveness, Drive targeted remediation, Drive continuous improvement, Promote a culture of security, Promote a culture of accountability, Promote a culture of risk ownership, Simplify risk processes, Simplify compliance processes, Enable secure delivery at speed, Improve standardization, Improve reuse of patterns, Improve reuse of playbooks, Support delivery of CISO Infrastructure & Cloud services, Provide backup coverage, Shape secure solutions, Shape scalable solutions, Translate transaction requirements into patterns, Enable execution excellence, Enable operational rigor, Manage risks across teams, Manage dependencies across teams, Manage issues across teams, Improve ACD operating models, Improve ACD playbooks, Support financial governance, Support vendor governance, Support resource governance", "teamCollaboration" : "Partner with global stakeholders; Partner with Digital; Partner with Legal; Partner with Privacy; Partner with Finance; Partner with Digital ACD PMO; Partner with CISO; Partner with Audit teams; Cross-functional teams; Matrixed teams", "projectManagementSkills" : [ "Transaction lifecycle management", "Deal execution" ], "domainKnowledge" : "Cybersecurity; Governance; Risk management; Compliance; M&A; Regulatory requirements; IT general controls; Cybersecurity standards; SOX; FDA GxP; Privacy laws; PCI DSS; MA201; Safe Harbor; Cloud services", "domainList" : [ "cybersecurity", "governance", "risk-management", "compliance", "m-a", "regulatory-requirements", "it-general-controls", "cybersecurity-standards", "sox", "fda-gxp", "privacy-laws", "pci-dss", "ma201", "safe-harbor", "cloud-services" ], "domainSpecificKnowledge" : [ "Cybersecurity", "Governance", "Risk management", "Compliance", "M&A", "Regulatory requirements", "IT general controls", "Cybersecurity standards", "SOX", "FDA GxP", "Privacy laws", "PCI DSS", "MA201", "Safe Harbor", "Cloud services" ], "communicationSkills" : "Succinctly defining problems; Delivering options", "problemSolvingSkills" : "Risk identification; Risk assessment; Risk mitigation; Risk escalation; Control assurance; Remediation execution; Root cause analysis", "specialRequirements" : "Extensive computer use, Flexible working hours, 10-15% travel, Support unexpected site inspections, Permanent work authorization in the United States", "outcomesObjectives" : "Ensure security risk identification; Ensure regulatory alignment; Ensure secure integration; Enable business agility; Enable business growth; Meet IT general controls; Meet cybersecurity standards; Meet regulatory requirements; Mitigate risks; Accept risks; Escalate risks; Drive targeted remediation; Drive continuous improvement; Simplify risk processes; Simplify compliance processes; Improve standardization; Improve reuse of patterns; Improve reuse of playbooks; Enable execution excellence; Enable operational rigor; Improve ACD operating models; Improve ACD playbooks", "qualificationsBasic" : "Bachelor's degree in Cybersecurity, Computer Science, Information Systems, or related field, 8+ years of progressive experience in cybersecurity, governance, risk management, or compliance roles, 5+ years of experience in a M&A setting supporting cybersecurity governance, policy, or risk management programs at scale, Experience in a highly matrixed organization, Excellent Communication skills, Experience implementing controls aligned to principles and concepts of regulatory compliance, Experience with pharmaceutical regulations, Excellent in-depth understanding and working experience with compliance guidelines and regulations such as SOX, FDA GxP regulations, and Domestic/International privacy laws (i. e. PCI DSS, MA201, Safe Harbor, etc.), Excellent stakeholder management skills, Organizational skills, Ability to work independently, Manage multiple priorities", "qualificationsPreferred" : "CISSP, CISM, CRISC or similar, Excellent strategic thinking, Deeply analytical and credible, Fact-based decision-making, Ability to influence and collaborate with peers, Develop and coach others, Oversee and guide the work of other colleagues", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "**ROLE SUMMARY** Our Global Cybersecurity Governance, Risk, and Compliance (GRC) team defines the blueprint for cybersecurity excellence by embedding governance, risk management, and compliance into every layer of the organization. The team enables consistent, risk‑based decision‑making and ensures that security, privacy, and regulatory requirements are seamlessly integrated across Pfizer’s global operations. We are seeking an experienced Director to serve in a strategic leadership role within the Security GRC organization, acting as the primary security representative for mergers, acquisitions, and divestitures. This role is accountable for ensuring security risk identification, regulatory alignment, and secure integration across the full transaction lifecycle—from diligence through post‑close execution—while enabling business agility and growth. The Director will partner closely with global stakeholders, including Digital, Legal, Privacy, Finance, and the Digital ACD PMO, to ensure M&A Digital and Technology services are forecasted, planned, designed, deployed, operated, and supported in a manner that meets IT general controls, cybersecurity standards, and regulatory requirements. **** **ROLE RESPONSIBILITIES** * Serve as a cybersecurity and technology risk advisor to Digital & Technology and business integration stakeholders, enabling informed decisions aligned to enterprise risk appetite and regulatory expectations * Embed security-by-design and compliant-by-design principles into the ACD operating model across strategy, solution delivery, operations, and lifecycle management * Translate cybersecurity strategy, policies, and control requirements into practical, business-aligned guidance that supports agile and product-centric delivery * Identify, assess, and manage information security and technology risks with Digital & Technology leaders, ensuring risks are mitigated, accepted, or escalated with clear ownership * Provide independent risk insight, control assurance for Digital & Technology services and solutions * Partner with CISO, Privacy, Legal, Compliance, and Audit teams to support audit readiness, regulatory inspections, and remediation execution * Monitor risk posture and control effectiveness using KPIs/KRIs, driving targeted remediation and continuous improvement initiatives * Promote a strong culture of security, accountability, and risk ownership across cross-functional and matrixed teams * Simplify risk and compliance processes to enable secure delivery at speed, improving standardization and reuse of proven patterns and playbooks * Support delivery of CISO Infrastructure & Cloud services across ACD transactions, providing backup coverage across all phases (pre‑close, Day 1, steady state, exit), shaping secure and scalable solutions, and translating transaction requirements into repeatable delivery patterns with CISO service owners * Enable execution excellence and operational rigor, including risk, dependency, and issue management across matrixed teams, continuous improvement of ACD operating models and playbooks, and support for financial, vendor, and resource governance under the execution lead **BASIC QUALIFICATIONS** * Bachelor’s degree in Cybersecurity, Computer Science, Information Systems, or related field * 8+ years of progressive experience in cybersecurity, governance, risk management, or compliance roles * 5+ years of experience in a M&A setting supporting cybersecurity governance, policy, or risk management programs at scale * Experience in a highly matrixed organization to support and drive strategic initiatives * Excellent Communication skills, capable of succinctly defining the problem and delivering options for addressing potential compliance gaps * Experience with implementing controls aligned to principles, and concepts of regulatory compliance, and of pharmaceutical regulations * Excellent in-depth understanding and working experience with compliance guidelines and regulations such as SOX, FDA GxP regulations, and Domestic/International privacy laws (i.e. PCI DSS, MA201, Safe Harbor, etc.) * Excellent stakeholder management skills and organizational skills * Ability to work independently and manage multiple priorities **PREFERRED QUALIFICATIONS** * Professional certifications: CISSP, CISM, CRISC or similar * Excellent strategic thinking * Deeply analytical and credible * Fact-based decision-making Candidate demonstrates a breadth of diverse leadership experiences and capabilities including: the ability to influence and collaborate with peers, develop and coach others, oversee and guide the work of other colleagues to achieve meaningful outcomes and create business impact. **PHYSICAL/MENTAL REQUIREMENTS** Extensive computer use **NON-STANDARD WORK SCHEDULE, TRAVEL OR ENVIRONMENT REQUIREMENTS** Flexible working hours to accommodate global time zones Requires 10-15% travel, primarily between Pfizer locations (Groton, Collegeville, NYHQ), support unexpected / unannounced site inspections from regulatory authorities, and ACD transaction travel as required Work Location Assignment: Hybrid Last Date to Apply for Job: 6/23/2026 The annual base salary for this position ranges from $162,900.00 to $271,500.00. In addition, this position is eligible for participation in Pfizer’s Global Performance Plan with a bonus target of 20.0% of the base salary and eligibility to participate in our share based long term incentive program. We offer comprehensive and generous benefits and programs to help our colleagues lead healthy lives and to support each of life’s moments. Benefits offered include a 401(k) plan with Pfizer Matching Contributions and an additional Pfizer Retirement Savings Contribution, paid vacation, holiday and personal days, paid caregiver/parental and medical leave, and health benefits to include medical, prescription drug, dental and vision coverage. Learn more at Pfizer Candidate Site – U.S. Benefits | (uscandidates.mypfizerbenefits.com). Pfizer compensation structures and benefit packages are aligned based on the location of hire. The United States salary range provided does not apply to Tampa, FL or any location outside of the United States. Relocation assistance may be available based on business needs and/or eligibility. Candidates must be authorized to be employed in the U.S. by any employer. U.S. work visa sponsorship (such as TN, O-1, H-1B, etc.) is not available for this role now or in the future. **Sunshine Act** Pfizer reports payments and other transfers of value to health care providers as required by federal and state transparency laws and implementing regulations. These laws and regulations require Pfizer to provide government agencies with information such as a health care provider’s name, address and the type of payments or other value received, generally for public disclosure. Subject to further legal review and statutory or regulatory clarification, which Pfizer intends to pursue, reimbursement of recruiting expenses for licensed physicians may constitute a reportable transfer of value under the federal transparency law commonly known as the Sunshine Act. Therefore, if you are a licensed physician who incurs recruiting expenses as a result of interviewing with Pfizer that we pay or reimburse, your name, address and the amount of payments made currently will be reported to the government. If you have questions regarding this matter, please do not hesitate to contact your Talent Acquisition representative. **EEO & Employment Eligibility** Pfizer is committed to equal opportunity in the terms and conditions of employment for all employees and job applicants without regard to race, color, religion, sex, sexual orientation, age, gender identity or gender expression, national origin, disability or veteran status. Pfizer also complies with all applicable national, state and local laws governing nondiscrimination in employment as well as work authorization and employment eligibility verification requirements of the Immigration and Nationality Act and IRCA. Pfizer is an E-Verify employer. This position requires permanent work authorization in the United States. Pfizer endeavors to make [www.pfizer.com/careers](http://www.pfizer.com/careers) accessible to all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process and/or interviewing, please email [disabilityrecruitment@pfizer.com](mailto:disabilityrecruitment@pfizer.com). This is to be used solely for accommodation requests with respect to the accessibility of our website, online application process and/or interviewing. Requests for any other reason will not be returned. To learn more about acceptable and prohibited uses of AI during the recruitment process, please review our candidate AI-use guidelines available on [ _Pfizer Careers_](https://www.pfizer.com/about/careers/ai-use-guidelines). Information & Business Tech", "summaryDescription" : "Director, Cyber Governance Risk and Compliance ACD Deal Lead at Pfizer. Skills: Cyber Governance, Risk Management, Compliance, M&A Cybersecurity. Serve as cybersecurity and technology risk advisor. Embed security-by-design principles", "postedDate" : "2026-06-11T14:22:55.284", "createdAt" : "2026-06-11T14:22:55.229", "lastUpdated" : "2026-06-12T18:06:40.063", "ingestTimestamp" : "2026-06-11T14:22:55.229", "mongoId" : "6a2a5dea74d8ee00a061ac09", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://pfizer.wd1.myworkdayjobs.com/PfizerCareers/job/United-States---New-York---New-York-City/Director--Cyber-Governance-Risk-and-Compliance-ACD-Deal-Lead_4959151-1", "salaryAnnualMin" : 162900, "salaryAnnualMax" : 162900, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Cybersecurity governance", "Risk management", "Compliance", "M&A cybersecurity", "Regulatory compliance", "Pharmaceutical regulations", "SOX", "FDA GxP", "PCI DSS", "MA201", "Safe Harbor", "Leadership", "Cyber Governance", "Risk Management", "M&A Cybersecurity", "Regulatory alignment", "Secure integration", "Stakeholder management", "Organizational skills", "Risk identification", "Control assurance", "Audit readiness", "Remediation execution", "Risk posture monitoring", "Control effectiveness monitoring", "Risk ownership", "Process simplification", "Standardization and reuse", "Financial governance", "Vendor governance", "Resource governance", "Transaction lifecycle management", "Deal execution", "Cybersecurity", "Governance", "M&A", "Regulatory requirements", "IT general controls", "Cybersecurity standards", "Privacy laws", "Cloud services", "CISSP", "CISM", "CRISC" ], "skillCount" : 44, "jobCategory" : "other", "seniorityLevel" : "executive", "dataQualityScore" : 1.0, "_score" : 937.26495, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false }, { "id" : "6a2d3ebf74d8ee00a0b3412e", "title" : "Lead Data Analyst, Risk Analytics", "company" : "Grab", "industry" : "Information Technology And Services", "salary" : { "min" : 450000.0, "max" : 750000.0, "currency" : "CNY", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Lead Data Analyst in Beijing, China, adjusted for the technology industry and Grab's company size." }, "location" : "Beijing, CN", "locations" : [ "Beijing", "CN" ], "timestamp" : "2026-06-16T00:57:35.966", "fingerprint" : "8ea939a206f68c159514d4484b1348b94884856d8b5a8eb8283e87ddc982321e", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/Grab/744000131614159-lead-data-analyst-risk-analytics", "externalId" : "744000131614159", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Beijing", "country" : "China", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "39.9057136,116.3912972" } ], "locationText" : "Beijing, China", "employmentType" : "FULL_TIME", "experienceMinYears" : 2, "experienceMaxYears" : 5, "experienceLevel" : "mid", "technicalSkills" : "AI, ML", "professionalSkills" : [ "System Thinking", "Data Architecture" ], "hardSkillsList" : [ "Risk detection", "Anomaly detection", "Data governance", "Pipeline reliability" ], "hardSkills" : [ { "name" : "Risk detection", "level" : "intermediate" }, { "name" : "Anomaly detection", "level" : "intermediate" }, { "name" : "Data governance", "level" : "intermediate" }, { "name" : "Pipeline reliability", "level" : "intermediate" } ], "majorSkills" : "Risk Analytics, AI methodologies, Data strategy", "majorSkillsList" : [ "Risk Analytics", "AI methodologies", "Data strategy" ], "coreResponsibilities" : "Own risk problems from framing to impact, Deliver exemplary solutions, Architect data strategies for anomaly detection systems, Ideate on novel signals for threats, Leverage agentic systems, Leverage Auto-Adaptive loops, Create self-optimizing feedback loops, Analyze complex threat patterns, Propose novel analytical solutions, Propose novel technical solutions, Advise senior leadership, Secure buy-in from senior leadership, Manage short-term risk noise, Manage long-term transformational strategies, Lead foundational data strategy, Lead architectural efficiency, Ensure deep data governance, Ensure pipeline reliability, Ensure robust architecture, Coach peers, Coach junior team members, Uplevel team's domain knowledge, Implement new technical frameworks, Implement AI productivity tools", "teamCollaboration" : "Cross-functional stakeholders; Senior leadership", "domainKnowledge" : "Platform integrity; Coordinated content abuse; Complex identity rings; Systemic safety risks; Risk labeling; Dynamic policy rules; Trust; Identity; Safety", "domainList" : [ "platform-integrity", "coordinated-content-abuse", "complex-identity-rings", "systemic-safety-risks", "risk-labeling", "dynamic-policy-rules", "trust", "identity", "safety" ], "domainSpecificKnowledge" : [ "Platform integrity", "Coordinated content abuse", "Complex identity rings", "Systemic safety risks", "Risk labeling", "Dynamic policy rules", "Trust", "Identity", "Safety" ], "communicationSkills" : "Stakeholder management", "innovationCreativity" : "Novel signals; Novel analytical solutions; Novel technical solutions", "problemSolvingSkills" : "Problem framing; Risk problems", "outcomesObjectives" : "Redefine platform integrity; Enhance risk detection output", "qualificationsBasic" : "7+ years of experience in data-related or quantitative fields, Bachelor's Degree in Analytics, Statistics, Computer Science, or Engineering, Advanced expertise in AI/ML, Advanced expertise in System-Thinking, Advanced expertise in Data Architecture, Exceptional communication ability, Exceptional stakeholder management ability", "qualificationsPreferred" : "Domain expertise in Trust, Identity, and Safety", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "About Grab and Our Workplace Grab is Southeast Asia's leading superapp. From getting your favourite meals delivered to helping you manage your finances and getting around town hassle-free, we've got your back with everything. In Grab, purpose gives us joy and habits build excellence, while harnessing the power of Technology and AI to deliver the mission of driving Southeast Asia forward by economically empowering everyone, with heart, hunger, honour, and humility. Get to Know the Team The Integrity team is dedicated to Trust, Identity, and Safety, safeguarding our users & transactions on Grab. We leverage our expansive datasets to address critical challenges, protecting millions of users and transactions from sophisticated fraud, systemic identity abuse, and severe safety and content violations. Our core mission involves analyzing highly ambiguous threat patterns, architecting advanced anomaly detection, and ideating on novel signals to detect systemic risks. We rely on our Lead Analysts to design the overarching analytical strategies and leverage next-generation tools—such as end-to-end agentic workflows and auto-adaptive feedback loops—to keep Grab ahead of evolving threats. Get to Know the Role Reporting to the Analytics Manager, you will be a strategic partner accountable for driving Trust, Identity, and Safety outcomes for multiple Problem Space Teams (PSTs) and strategic cross-functional initiatives. You will fully own complex, open-ended business problems. You will act as the architect of our risk detection strategies, expertly applying advanced AI methodologies, system-thinking, and foundational data excellence to build highly resilient, automated defenses. The Critical Tasks You Will Perform * Fully own highly ambiguous, open-ended risk problems from problem framing to organizational impact, delivering exemplary solutions that redefine how we address platform integrity. * Architect the data strategies for building advanced anomaly detection systems, ideating on novel signals for sophisticated threats spanning coordinated content abuse, complex identity rings, and systemic safety risks. * Leverage end-to-end agentic systems and Auto-Adaptive loops as powerful analytical instruments to create self-optimizing feedback loops for risk labeling and dynamic policy rules. * Analyze the most complex and ambiguous threat patterns, proposing novel analytical and technical solutions that go beyond common industry practices. * Actively advise and secure buy-in from senior leadership on complex, tactical trade-offs, balancing short-term risk noise management with long-term transformational strategies. * Take leadership of our foundational data strategy and architectural efficiency, ensuring deep data governance, pipeline reliability, and robust architecture so that our advanced AI tools amplify our capabilities rather than our flaws. * Coach peers and junior team members, up-leveling the team's domain knowledge across various safety and risk vectors while implementing new technical frameworks and AI productivity tools across the organization. ## Qualifications What Key Skills you Will have * 7+ years of experience in data-related or quantitative fields within complex digital or risk ecosystems. * A Bachelor's Degree (or higher) in Analytics, Statistics, Computer Science, or Engineering. * Advanced expertise in AI/ML, System-Thinking, and Data Architecture, enabling you to pioneer the use of the latest technologies to enhance the team's risk detection output. * Exceptional communication and stakeholder management skills; ability to build trust with cross-functional stakeholders and influence senior leadership on overarching risk strategies. * [Desirable] Domain expertise in Trust, Identity, and Safety, with the ability to differentiate tactical trade-offs while maintaining alignment to the broader organizational vision. ## Additional Information Life at Grab We care about your well-being at Grab, here are some of the global benefits we offer: * We have your back with Term Life Insurance and comprehensive Medical Insurance. * With GrabFlex, create a benefits package that suits your needs and aspirations. * Celebrate moments that matter in life with loved ones through Parental and Birthday leave , and give back to your communities through Love-all-Serve-all (LASA) volunteering leave * We have a confidential Grabber Assistance Programme to guide and uplift you and your loved ones through life's challenges. * Balancing personal commitments and life's demands are made easier with our FlexWork arrangements such as differentiated hours What We Stand For At Grab We are committed to building an inclusive and equitable workplace that provides equal opportunity for Grabbers to grow and perform at their best. We consider all candidates fairly and equally regardless of nationality, ethnicity, race, religion, age, gender, family commitments, physical and mental impairments or disabilities, and other attributes that make them unique.", "summaryDescription" : "Lead Data Analyst, Risk Analytics at Grab. Skills: Risk Analytics, AI methodologies, Data strategy. Own risk problems from framing to impact. Deliver exemplary solutions", "postedDate" : "2026-06-11T08:25:31.000", "createdAt" : "2026-06-14T18:47:05.488", "lastUpdated" : "2026-06-16T00:57:35.966", "ingestTimestamp" : "2026-06-14T18:47:05.488", "mongoId" : "6a2d3ebf74d8ee00a0b3412e", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Risk detection", "Anomaly detection", "Data governance", "Pipeline reliability", "Risk Analytics", "AI methodologies", "Data strategy", "System Thinking", "Data Architecture", "Platform integrity", "Coordinated content abuse", "Complex identity rings", "Systemic safety risks", "Risk labeling", "Dynamic policy rules", "Trust", "Identity", "Safety" ], "skillCount" : 18, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Lead", "dataQualityScore" : 1.0, "_score" : 937.1182, "daysOld" : 4, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2d064774d8ee00a0ac20d0", "title" : "Risk Director", "industry" : "Banking", "salary" : { "min" : 220000.0, "max" : 350000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Director of Risk in the Financial Services industry in New York, USA, adjusted for seniority and full-time employment." }, "location" : "New York, NY", "locations" : [ "New York, NY" ], "timestamp" : "2026-06-16T06:01:25.245", "fingerprint" : "1260061c857e678fa3041bb92e3d96efdd254a5b51bae9a966aa9b2223c5eebc", "source" : "jazzhr", "language" : "en", "externalId" : "uYB2N54RVV", "industryFunction" : { }, "structuredLocations" : [ { "city" : "New York", "state" : "New York", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "40.7127281,-74.0060152" } ], "locationText" : "New York, New York, United States", "experienceLevel" : "Director", "summaryDescription" : "Risk Director", "createdAt" : "2026-06-14T19:51:45.648", "lastUpdated" : "2026-06-16T06:01:25.245", "ingestTimestamp" : "2026-06-14T19:51:45.648", "mongoId" : "6a2d064774d8ee00a0ac20d0", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 220000, "salaryAnnualMax" : 350000, "salaryBand" : "200k+", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "finance", "jobSubcategory" : "accounting", "seniorityLevel" : "Director", "dataQualityScore" : 0.44444445, "_score" : 935.2609, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Financial Services", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2a490274d8ee00a05e333f", "title" : "Associate Director, Business Analytics", "company" : "Omnicom Media", "industry" : "Healthcare", "salary" : { "min" : 110000.0, "max" : 135000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "New York, New York, United States", "locations" : [ "New York", "New York", "United States" ], "timestamp" : "2026-06-14T20:21:09.815", "fingerprint" : "35b49730a5114c45cdab087a9bf23a3921edc3d91bc5bc1967631da5637bcca8", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/mediabrands/jobs/5137846007", "externalId" : "5137846007", "industryFunction" : { }, "structuredLocations" : [ { "city" : "New York", "state" : "New York", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "40.7127281,-74.0060152" } ], "locationText" : "New York, New York, United States", "experienceLevel" : "Director", "technicalSkills" : "SQL", "professionalSkills" : [ "Client analytics", "Campaign analytics", "Omnichannel analytics", "Measurement planning", "Performance intelligence", "Data analysis", "Insight generation", "Media optimization", "Data visualization" ], "hardSkillsList" : [ "Statistical analysis", "Data modeling", "A/B testing", "Causal inference" ], "hardSkills" : [ { "name" : "Statistical analysis", "level" : "intermediate" }, { "name" : "Data modeling", "level" : "intermediate" }, { "name" : "A/B testing", "level" : "intermediate" }, { "name" : "Causal inference", "level" : "intermediate" } ], "majorSkills" : "Business analytics, Healthcare analytics, Client solutions, Measurement frameworks", "majorSkillsList" : [ "Business analytics", "Healthcare analytics", "Client solutions", "Measurement frameworks" ], "coreResponsibilities" : "Support analytics leadership, Partner with client stakeholders, Lead analytics discussions, Support presentation of findings, Support development of measurement plans, Ensure alignment between goals, Help operationalize measurement approaches, Support evolution toward performance intelligence, Manage day-to-day analytics workflows, Oversee development of dashboards, Oversee development of campaign reporting, Oversee development of analytical summaries, Oversee development of optimization recommendations, Oversee development of QBR materials, Ensure analytical quality, Support operational processes, Translate data into insights, Identify optimization opportunities, Partner with teams to operationalize insights, Support development of analytics frameworks, Stay informed on measurement methodologies, Stay informed on healthcare analytics trends, Support POV development on vendors, Assist with vendor evaluations, Assist with research initiatives, Assist with measurement RFPs, Partner with teams on advanced analytics, Partner with Audience Strategy, Partner with Data Science, Partner with Data Management, Partner with Comms Design, Partner with Investment, Partner with Client Solutions leadership, Ensure alignment between analytics outputs, Serve as a bridge across teams", "teamCollaboration" : "Cross-functional teams; Client teams; Analytics teams; Activation teams", "domainKnowledge" : "Healthcare media ecosystems; HCP media; DTC media; Patient engagement; Omnichannel analytics; Campaign measurement; Media optimization", "domainList" : [ "healthcare-media-ecosystems", "hcp-media", "dtc-media", "patient-engagement", "omnichannel-analytics", "campaign-measurement", "media-optimization" ], "domainSpecificKnowledge" : [ "Healthcare media ecosystems", "HCP media", "DTC media", "Patient engagement", "Omnichannel analytics", "Campaign measurement", "Media optimization" ], "toolProficiency" : [ "Tableau", "BI platforms" ], "communicationSkills" : "Client presentations; Strategic storytelling", "problemSolvingSkills" : "Analytical thinking", "qualificationsBasic" : "5+ years analytics experience, 5+ years marketing science experience, 5+ years media analytics experience, 5+ years business intelligence experience, SQL proficiency", "qualificationsPreferred" : "Healthcare/pharma analytics experience, PhD preferred, Advanced analytics tools a plus", "rawDescription" : "Business Overview IPG Mediabrands is the media and marketing solutions division of Interpublic Group (NYSE: IPG). IPG Mediabrands manages over $47 billion in marketing investment globally on behalf of its clients across its full-service agency networks UM, Initiative and Mediahub and through its award-winning specialty business units Healix, Kinesso, MAGNA, Mediabrands Content Studio, Orion Holdings, Rapport, and the IPG Media Lab. IPG Mediabrands clients include many of the world’s most recognizable and iconic brands from a broad portfolio of industry sectors including automotive, personal finance, consumer product goods (CPG), pharma, health and wellness, entertainment, financial services, energy, toys and gaming, direct to consumer and e-commerce, retail, hospitality, food and beverage, fashion and beauty. The company employs more than 18,000 diverse marketing communication professionals in more than 130 countries. Learn more at www.ipgmediabrands.com. Position Summary The Associate Director, Business Analytics — HCP & DTC Client Solutions will support the leadership of analytics, measurement, and accountability initiatives for a major healthcare client across both HCP and DTC / patient media programs. This role is responsible for helping drive integrated campaign analytics, performance measurement, optimization, and insight generation across all channels and audience initiatives. The Associate Director will partner closely with Business Analytics leadership, Audience Intelligence, Data Science, Comms Design, Investment, and client teams to ensure analytics outputs are actionable, scalable, and aligned to business objectives. This role combines strong analytical thinking, client partnership, operational leadership, and strategic storytelling to help evolve analytics from descriptive reporting toward proactive decision support. The position requires a strong understanding of healthcare media ecosystems, omnichannel analytics, campaign measurement, and optimization frameworks across both HCP and DTC initiatives. Required Skills & Experience Client Analytics & Strategic Support Support analytics leadership across HCP and DTC / patient initiatives for a major healthcare client Partner with client stakeholders to understand business objectives, measurement priorities, and reporting needs Help lead analytics discussions focused on: campaign performance optimization opportunities audience insights actionable recommendations Support presentation of analytics findings and strategic insights to client teams Measurement Planning & Accountability Support development and maintenance of integrated measurement plans across HCP and DTC campaigns Ensure alignment between: campaign goals KPIs audience strategies optimization frameworks Help operationalize measurement approaches spanning: endemic and non-endemic HCP media DTC media audience activation initiatives omnichannel engagement programs Support evolution from static reporting toward more integrated performance intelligence frameworks Analytics Delivery & Workflow Management Help manage day-to-day analytics workflows and deliverables across the client business Oversee development of: dashboards campaign reporting analytical summaries optimization recommendations QBR materials Ensure analytical quality, consistency, and timeliness across deliverables Support operational processes that improve scalability and efficiency of analytics delivery Insight Generation & Optimization Translate campaign and audience data into actionable insights and recommendations Identify opportunities for optimization across: channels tactics audiences media investments Partner with Audience Intelligence, Comms Design, Investment, and Data Science teams to help operationalize insights into activation strategies Support development of analytics frameworks that improve campaign performance and decision-making Advanced Analytics & Measurement Support Stay informed on emerging measurement methodologies and healthcare analytics trends including: attribution audience quality measurement incrementality testing digital optimization omnichannel analytics Support POV development on analytics vendors, data providers, and measurement partners Assist with vendor evaluations, research initiatives, and measurement-related RFPs where appropriate Partner with Data Science and Audience Intelligence teams on advanced analytics initiatives Cross-Functional Collaboration Partner closely with: Audience Strategy Data Science Data Management Comms Design Investment Client Solutions leadership Help ensure alignment between analytics outputs, media strategy, audience activation, and optimization initiatives Serve as a collaborative bridge across analytics and activation teams Desired Skills & Experience 5+ years of experience in analytics, marketing science, media analytics, or business intelligence Healthcare/pharma analytics experience strongly preferred Strong understanding of: HCP media ecosystems DTC / patient engagement analytics campaign measurement omnichannel analytics media optimization Experience developing: campaign analytics frameworks dashboards and reporting solutions measurement plans client-facing presentations Familiarity with: attribution methodologies audience analytics digital optimization frameworks healthcare data ecosystems Strong analytical, communication, and presentation skills Experience working in cross-functional client environments Experience with: Tableau or BI platforms SQL preferred advanced analytics tools a plus Wage and Benefits We offer a Total Rewards package that includes medical and dental coverage, 401(k) plans, flex spending, life insurance, disability, employee discount program, employee stock purchase program and paid family benefits to support you and your family. The salary range for this position is posted below. Where an employee or prospective employee is paid within this range will depend on, among other factors, actual ranges for current/former employees in the subject position, market considerations, budgetary considerations, tenure and standing with the Company (applicable to current employees), as well as the employee’s/applicant’s skill set, level of experience, and qualifications. Employment Transparency It is our policy to provide equal employment opportunities to all employees and applicants for employment without regard to race, color, ethnicity, gender, age, religion, creed, national origin, sexual orientation, gender identity, marital status, citizenship, genetic information, veteran status, disability, or any other basis prohibited by applicable federal, state, or local law. Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties, or responsibilities that are required of the employee for this job. Duties, responsibilities, and activities may change at any time with or without notice. The employer will make reasonable accommodations in compliance with the American with Disabilities Act of 1990. The job description will be reviewed periodically as duties and responsibilities change with business necessity. Essential and other job functions are subject to modification. Reasonable accommodations may be provided to enable individuals with disabilities to perform the essential functions. For applicants to jobs in the United States: In compliance with the current Americans with Disabilities Act and state and local laws, if you have a disability and would like to request an accommodation to apply for a position with Mediabrands, please email accommodation@mbww.com. Salary Range $110,000—$135,000 USD", "summaryDescription" : "Associate Director, Business Analytics at Omnicom Media. Skills: Business analytics, Healthcare analytics, Client solutions, Measurement frameworks. Support analytics leadership. Partner with client stakeholders", "postedDate" : "2026-06-11T19:40:31.795", "createdAt" : "2026-06-11T19:40:31.795", "lastUpdated" : "2026-06-14T20:21:09.815", "ingestTimestamp" : "2026-06-11T19:40:31.795", "mongoId" : "6a2a490274d8ee00a05e333f", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 110000, "salaryAnnualMax" : 135000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Statistical analysis", "Data modeling", "A/B testing", "Causal inference", "Business analytics", "Healthcare analytics", "Client solutions", "Measurement frameworks", "Client analytics", "Campaign analytics", "Omnichannel analytics", "Measurement planning", "Performance intelligence", "Data analysis", "Insight generation", "Media optimization", "Data visualization", "Healthcare media ecosystems", "HCP media", "DTC media", "Patient engagement", "Campaign measurement", "Tableau", "BI platforms" ], "skillCount" : 24, "jobCategory" : "other", "jobSubcategory" : "mediabrands---united-states", "dataQualityScore" : 0.8888889, "_score" : 929.0622, "daysOld" : 3, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Healthcare" }, { "id" : "6a2a490274d8ee00a05e333d", "title" : "Associate Director, Business Analytics", "company" : "Omnicom Media", "industry" : "Marketing", "salary" : { "min" : 110000.0, "max" : 135000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Boston, Massachusetts, United States", "locations" : [ "Boston", "Massachusetts", "United States" ], "timestamp" : "2026-06-14T21:34:39.296", "fingerprint" : "5b953bfebc68434e92f1730fb053c7c1b47896e8e8955fcfa3d81127657d56a4", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/mediabrands/jobs/5160831007", "externalId" : "5160831007", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Boston", "state" : "Massachusetts", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "42.3588336,-71.0578303" } ], "locationText" : "Boston, Massachusetts, United States", "experienceLevel" : "Director", "technicalSkills" : "SQL", "professionalSkills" : [ "Marketing analytics", "Data analytics", "Media planning", "Budgeting", "Revenue forecasting", "ROI development", "Audience-based marketing", "Data-driven advertising", "Solution development", "Strategic issues", "Operational issues", "Client relationship management" ], "hardSkillsList" : [ "Data analysis", "Analytics techniques", "Consumer segmentation", "Audience identification", "Media impact measurement" ], "softSkillsList" : [ "Leadership", "Mentoring", "Critical thinking" ], "hardSkills" : [ { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Analytics techniques", "level" : "intermediate" }, { "name" : "Consumer segmentation", "level" : "intermediate" }, { "name" : "Audience identification", "level" : "intermediate" }, { "name" : "Media impact measurement", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Mentoring" }, { "name" : "Critical thinking" } ], "majorSkills" : "Business analytics, Marketing analytics, Client relationship management", "majorSkillsList" : [ "Business analytics", "Marketing analytics", "Client relationship management" ], "coreResponsibilities" : "Build understanding of client's strategic issues, Build understanding of client's initiatives, Build understanding of client's competitive position, Ensure analytics lead to actionable narratives, Construct insightful narratives through analytic techniques, Participate in measurement plan development, Participate in measurement plan execution, Ensure timely follow through on deliverables, Generate clear narratives, Generate compelling narratives, Generate actionable narratives, Recommend research for consumer insight, Recommend research for strategic process, Implement research for consumer insight, Implement research for strategic process, Identify opportunities to improve processes, Lead analysts, Mentor analysts, Train analysts, Lead managers, Mentor managers, Train managers, Present reports to clients, Present POVs to clients, Present materials to clients, Contribute to consumer segmentation, Contribute to audience identification, Contribute to audience exploration, Design tests to measure media impact, Manage cross-functional tasks, Ensure understanding of priorities, Ask for help, Partner with Planning teams, Partner with Investment teams, Develop annual budgets, Develop media plans, Optimize budget, Optimize media plan, Assess direct report capabilities, Provide career growth roadmap, Institute goals to build skills, Institute goals to expand skills, Keep in front of industry trends, Keep in front of industry developments, Conduct research on industry trends, Engage in training on industry trends", "teamCollaboration" : "Planning teams; Investment teams; Cross-functional teams", "projectManagementSkills" : [ "Scope management", "Budgeting", "Timing management" ], "domainKnowledge" : "Marketing analytics; Integrated marketing; Customer journey development; Audience-based marketing; Data-driven advertising; Media campaign planning; Media campaign execution", "domainList" : [ "marketing-analytics", "integrated-marketing", "customer-journey-development", "audience-based-marketing", "data-driven-advertising", "media-campaign-planning", "media-campaign-execution" ], "domainSpecificKnowledge" : [ "Marketing analytics", "Integrated marketing", "Customer journey development", "Audience-based marketing", "Data-driven advertising", "Media campaign planning", "Media campaign execution" ], "communicationSkills" : "Client presentations; Client POVs; Client materials", "documentationSkills" : "Business writing", "continuousLearning" : "Training", "innovationCreativity" : "Innovative programs", "problemSolvingSkills" : "Problem-solving; Critical thinking; Solution development", "outcomesObjectives" : "Exceed client business goals", "qualificationsBasic" : "5-7 years data and analytics experience, University degree, Industry Knowledge in marketing analytics, Experience in integrated marketing, Demonstrated knowledge in audience-based marketing, Analytic skills, Critical thinking, Problem-solving skills, Proven leadership ability, Strong client relationship experience, Stellar communication skills, Stellar presentation skills, Ability to train colleagues, Ability to coach colleagues, Organized, Detail oriented, Prioritizing work, Business writing, Presenting, Conducting analysis, Project management", "qualificationsPreferred" : "Knowledge of agency-side media campaign planning, Knowledge of agency-side media execution process", "workSiteFlexibility" : "Onsite", "rawDescription" : "The Business Analytics team is pivotal in the delivery of modern agency services. We are tightly integrated with planning and investment teams to deliver on and exceed our clients’ business goals. Responsibilities External facing responsibilities: Build and develop a deep understanding of the client's strategic issues, initiatives and the competitive position. Ensure that analytics efforts lead to clear, compelling and actionable insights; and insightful narratives are constructed through sophisticated analytics techniques. Participate in the measurement plan development and execution. Ensure timely follow through on all scheduled and ad hoc deliverables. Generate and communicating clear, compelling and actionable insights; constructing insightful narratives through sophisticated analytic techniques. Recommend and implement research that will aid in the consumer insight gathering and strategic process. Identify opportunities to continuously improve processes. Lead, mentor and train analysts and managers. Present reports, POVs and other materials to clients on a regular basis over the phone and in person. Contribute to the consumer segmentation and audience identification/exploration processes. Design tests to measure the incremental impact of media on business outcomes. Manage cross-functional day-to-day tasks, ensuring understanding of proper priorities, knowing when to ask for help. Internal facing responsibilities: Manage cross-functional day-to-day tasks, ensuring understanding of proper priorities, knowing when to ask for help. Partner with the Planning and Investment teams on annual budget setting, media plan development and ongoing budget / plan optimization. Lead and mentor direct reports: continually assess capabilities, provide a roadmap for career growth and institute goals to build / expand skills. Keep in front of industry trends and developments by conducting research and engaging in training. Required Skills Industry Knowledge in marketing analytics and data Experience in integrated marketing related to media and/or customer journey development, including budgeting, revenue forecasting, ROI development. Demonstrated knowledge in audience-based marketing and data-driven advertising Solution development: analytic skills, critical thinking and clarifying strategic & operational issues as relates to data and analytics. Problem-solving skills to drive issues to resolution. Proven leadership ability and strong, impactful client relationship experience Stellar communication and presentation skills: we need someone who is articulate, engaging and straightforward – and, above all, can effectively and convincingly translate unstructured business solutions into innovative customer marketing programs Ability to train and coach colleagues for growth: being organized and detail oriented, prioritizing work, business writing & presenting, conducting analysis, and project management (scope, budgeting, timing) Comfortable working in ambiguous situations Education and Experience A university degree and 5-7 years of data and analytics experience in advertising, management consulting, marketing or digital consulting Knowledge of agency-side media campaign planning and execution process is desirable, but not required Wage and Benefits We offer a Total Rewards package that includes medical and dental coverage, 401(k) plans, flex spending, life insurance, disability, employee discount program, employee stock purchase program and paid family benefits to support you and your family. The salary range for this position is posted below. Where an employee or prospective employee is paid within this range will depend on, among other factors, actual ranges for current/former employees in the subject position, market considerations, budgetary considerations, tenure and standing with the Company (applicable to current employees), as well as the employee’s/applicant’s skill set, level of experience, and qualifications. Employment Transparency It is our policy to provide equal employment opportunities to all employees and applicants for employment without regard to race, color, ethnicity, gender, age, religion, creed, national origin, sexual orientation, gender identity, marital status, citizenship, genetic information, veteran status, disability, or any other basis prohibited by applicable federal, state, or local law. Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties, or responsibilities that are required of the employee for this job. Duties, responsibilities, and activities may change at any time with or without notice. The employer will make reasonable accommodations in compliance with the American with Disabilities Act of 1990. The job description will be reviewed periodically as duties and responsibilities change with business necessity. Essential and other job functions are subject to modification. Reasonable accommodations may be provided to enable individuals with disabilities to perform the essential functions. For applicants to jobs in the United States: In compliance with the current Americans with Disabilities Act and state and local laws, if you have a disability and would like to request an accommodation to apply for a position with Mediabrands, please email accommodation@mbww.com. Salary Range $110,000—$135,000 USD", "summaryDescription" : "Associate Director, Business Analytics at Omnicom Media. Skills: Business analytics, Marketing analytics, Client relationship management. Build understanding of client's strategic issues. Build understanding of client's initiatives", "postedDate" : "2026-06-11T18:58:57.852", "createdAt" : "2026-06-11T18:58:57.852", "lastUpdated" : "2026-06-14T21:34:39.296", "ingestTimestamp" : "2026-06-11T18:58:57.852", "mongoId" : "6a2a490274d8ee00a05e333d", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 110000, "salaryAnnualMax" : 135000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Data analysis", "Analytics techniques", "Consumer segmentation", "Audience identification", "Media impact measurement", "Leadership", "Mentoring", "Critical thinking", "Business analytics", "Marketing analytics", "Client relationship management", "Data analytics", "Media planning", "Budgeting", "Revenue forecasting", "ROI development", "Audience-based marketing", "Data-driven advertising", "Solution development", "Strategic issues", "Operational issues", "Scope management", "Timing management", "Integrated marketing", "Customer journey development", "Media campaign planning", "Media campaign execution" ], "skillCount" : 27, "jobCategory" : "other", "jobSubcategory" : "mediabrands---united-states", "dataQualityScore" : 0.8888889, "_score" : 920.8904, "daysOld" : 3, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Marketing" }, { "id" : "6a305930f292fd229cf45a2e", "title" : "Associate, BizOps & Analytics", "company" : "Jerry.ai", "industry" : "Data", "salary" : { "min" : 85000.0, "max" : 130000.0, "currency" : "USD", "frequency" : "Yearly" }, "location" : "New York, New York", "locations" : [ "New York, New York", "Boston, Massachusetts", "Atlanta, Georgia", "Denver, Colorado", "Austin, Texas", "Miami, Florida", "San Francisco Bay Area" ], "timestamp" : "2026-06-16T10:02:42.899", "fingerprint" : "62d85bfed8594804691ebbd3dd3941c788fcb3483399c1ab71653ea11095b341", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/Jerry.ai/214c3e5e-694d-43e1-9077-a7ee20b4acb7/application", "externalId" : "214c3e5e-694d-43e1-9077-a7ee20b4acb7", "industryFunction" : { }, "structuredLocations" : [ { "city" : "New York", "state" : "New York", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "40.7127281,-74.0060152" } ], "locationText" : "New York, New York, United States", "employmentType" : "FULL_TIME", "technicalSkills" : "Excel, SQL, Python", "professionalSkills" : [ "First principles thinking", "Data analysis", "Problem solving" ], "hardSkillsList" : [ "Data interpretation", "Data structuring", "Data pulling" ], "softSkillsList" : [ "Direct communicator" ], "hardSkills" : [ { "name" : "Data interpretation", "level" : "intermediate" }, { "name" : "Data structuring", "level" : "intermediate" }, { "name" : "Data pulling", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Direct communicator" } ], "majorSkills" : "BizOps, Analytics, Data insights", "majorSkillsList" : [ "BizOps", "Analytics", "Data insights" ], "coreResponsibilities" : "Define business questions, Define metrics, Build reports, Run analyses, Design experiments, Surface data insights, Bring recommendations to counterparts, Explain business happenings, Explain business reasons, Propose next steps", "teamCollaboration" : "Embedded in business units; Work with product; Work with growth; Work with finance; Work with operations", "domainKnowledge" : "Car ownership management; Insurance; Home ownership management; Motorcycle ownership; RV ownership", "domainList" : [ "car-ownership-management", "insurance", "home-ownership-management", "motorcycle-ownership", "rv-ownership" ], "domainSpecificKnowledge" : [ "Car ownership management", "Insurance", "Home ownership management", "Motorcycle ownership", "RV ownership" ], "toolProficiency" : [ "SQL", "Metabase", "Python", "Jupyter Hub", "GitHub" ], "communicationSkills" : "Write clearly; Speak precisely", "problemSolvingSkills" : "Break ambiguous problems; Formulate hypotheses", "outcomesObjectives" : "Grow to 50M customers; Become $10B business", "qualificationsBasic" : "1+ years consulting experience, 1+ years investment bank experience, 1+ years high-growth tech experience, Analytical ability to pull data, Analytical ability to structure data, Analytical ability to interpret data, Track record of owning problems, Track record of delivering impact, Clear communicator, Persuasive communicator, Influence leadership decisions", "remoteFriendly" : false, "workSiteFlexibility" : "Flexible", "rawDescription" : "Why We Exist Your car and your home are your most important assets, yet the experience of owning them is stuck in the 90s. Every part of the journey — buy/sell, insurance, maintenance, repairs — is fragmented, complicated, and expensive. Jerry.ai http://Jerry.ai is building the first app to manage it all. We started with car insurance in 2019, became one of the top 3 brokers in the U.S., then added driving insights, diagnostics, and a repair marketplace. We've reached 5M+ customers, raised $240M+, scaled revenue 70X, and became profitable in early 2024. We're now expanding into adjacent verticals (e.g. home, motorcycle, RV, etc) to become the one-stop-shop for all your physical assets. Why We’re Hiring Our BizOps & Analytics team has been a force multiplier and accelerant to our business that has helped us reach these pivotal milestones in spite of headwinds and within a highly competitive market. They are a team of former McKinsey, BCG and Bain consultants who drive data & insights, and inform decision-making across every corner of our business. They are analytical powerhouses and first principles problem solvers who push forward our most important initiatives across product, growth, tech, and operations. Every business unit has a BizOps team member embedded within it — someone who doesn't just run analyses and build dashboards, but shapes what questions we should ask, what data to pull, what conclusions to draw, what decisions to make, and then drives our teams towards our next goal: go from 5M to 50M customers and become a $10B business in the next 4 years. As our business continues to expand, there is growing demand for more BizOps team members. We are hiring 4-6 people to drive impact in these areas: - Growth Marketing - Product Development - AI & Automation - Strategic Partnerships On leveling: You may see job ads for this role at different job levels. Our priority is finding the right people, we can be flexible with job title/leveling. Why You Will (Or Won't) Like Working Here - No slides: If you've worked in consulting, you know what it feels like to be up at 3am reformatting a deck. That doesn't exist here. The only work that gets done at Jerry is work that will materially change the trajectory of our business — an important product, a new growth channel, a key metric, a critical partner relationship, etc. - No corporate fluff: The BizOps & Analytics team is 14 insatiable learners who care deeply about solving difficult problems and making a tangible impact. Every person owns a critical domain. There is no bloat, unnecessary meetings, or waiting for approvals. - Hands-on: This is not a pure strategy role, you will also own execution. Your day-to-day will be surfacing analytical insights, driving decisions, and seeing them through end-to-end. What You'll Own You'll sit on our central BizOps & Analytics team but you’ll be embedded in one of Jerry's core business areas — growth, product, AI and automation, strategic partnerships — and own the analytical function for that business unit end-to-end. - Define the right problems: Before any analysis, understand what business question it's answering and what decision it will inform. Push back if the question is flawed. - Data and insights: Define metrics, build reports, run analyses, design experiments, and surface data insights that move your team's key metrics. - Drive outcomes: Bring recommendations to your counterparts in product, growth, finance or operations, tell them what's happening and why, and what next steps should be. Who You Are - First principles thinker: You break ambiguous problems into clear hypotheses before touching data. You're analytically strong (comfortable with Excel, SQL or Python) but your instinct is to ask \"what are we trying to solve here?\" before jumping to \"what should I build?\" - Direct communicator: You can walk a skeptical stakeholder through a complex finding and get buy-in quickly. You write clearly, speak precisely, and don't bury the lede. - Owner: You act like your name is on the door. If something is broken, you feel responsible for fixing it, even if it’s outside of your swim lane. What You'll Bring - 1+ years of experience at a consulting firm, investment bank, or high-growth technology company. - Strong analytical skills; ability to pull, structure, and interpret data independently. - Track record of owning ambiguous problems and delivering impact. - Clear, persuasive communicator who can influence decisions at the leadership level. Our Tools SQL (Clickhouse), Metabase, Python, Jupyter Hub, GitHub. While we appreciate your interest and application, only applicants under consideration will be contacted. Jerry.ai is proud to be an Equal Employment Opportunity employer. We prohibit discrimination based on race, religion, color, national origin, sex, pregnancy, reproductive health decisions or related medical conditions, sexual orientation, gender identity, gender expression, age, veteran status, disability, genetic information, or other characteristics protected by applicable local, state or federal laws. Jerry.ai is committed to providing reasonable accommodations for individuals with disabilities in our job application process. If you need assistance or an accommodation due to a disability, please contact us at recruiting@jerry.ai recruiting@getjerry.com The successful candidate’s starting pay will fall within the pay range listed on this job posting, determined based on job-related factors including, but not limited to, skills, experience, qualifications, work location, and market conditions. Ranges are market-dependent and may be modified in the future. In addition to base salary, the compensation may include opportunities for equity grants. We offer a comprehensive benefits package to regular employees, including health, dental, and vision coverage, paid time off, paid parental leave, 401(K) plan with employer matching, and wellness benefits, among others. Equity opportunities may also be part of your total rewards package. Part-time, contract, or freelance roles may not be eligible for certain benefits. About Jerry.ai Jerry.ai is America’s first and only super app to radically simplify car ownership. We are redefining how people manage owning a car, one of their most expensive and time-consuming assets. Backed by artificial intelligence and machine learning, Jerry.ai simplifies and automates owning and maintaining a car while providing personalized services for all car owners' needs. We spend every day innovating and improving our AI-powered app to provide the best possible experience for our customers. From car insurance and financing to maintenance and safety, Jerry.ai does it all. We are the #1 rated and most downloaded app in our category with a 4.7 star rating in the App Store. We have more than 5 million customers — and we’re just getting started. Jerry.ai was founded in 2017 by serial entrepreneurs and has raised more than $240 million in financing. Join our team and work with passionate, curious and egoless people who love solving real-world problems. Help us build a revolutionary product that’s disrupting a massive market.", "summaryDescription" : "Associate, BizOps & Analytics at Jerry.ai. Skills: BizOps, Analytics, Data insights. Define business questions. 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Other analysts; Other scientists; Economists", "projectManagementSkills" : [ "Cross functional projects" ], "domainKnowledge" : "Product strategy; Data governance", "domainList" : [ "product-strategy", "data-governance" ], "domainSpecificKnowledge" : [ "Product strategy", "Data governance" ], "toolProficiency" : [ "Excel", "Pivot Tables", "SQL", "Tableau" ], "communicationSkills" : "Clear communication; Crisp presentations", "documentationSkills" : "Compelling documents", "innovationCreativity" : "Innovative solutions", "problemSolvingSkills" : "Break down complexity; Find innovative solutions", "outcomesObjectives" : "Deliver high-quality decision making", "qualificationsBasic" : "Proficient in SQL, Proficient in Python, 7+ years relevant experience, 5+ years with advanced degree, Experience running projects across multiple functions, Experience with data analysis tools, Experience with Excel, Experience with Pivot Tables, Experience with SQL, Experience with Tableau", "qualificationsPreferred" : "Experience supporting executive reporting, Experience supporting business reviews, 2+ years customer service analytics, Ability to work in ambiguous situations, Ability to work flexible schedule, Understanding of data governance principles, Understanding of data governance practices, Track record of process improvement, Interpersonal skills, Ability to build relationships", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "At Audible, we believe stories have the power to transform lives. It’s why we work with some of the world’s leading creators to produce and share audio storytelling with our millions of global listeners. We are dreamers and inventors who come from a wide range of backgrounds and experiences to empower and inspire each other. Imagine your future with us. ABOUT THIS ROLE As Director, Product Analytics, you'll serve as a data-driven decision enabler for our Product leadership team. This role combines deep technical expertise with business acumen to transform complex data into actionable insights that shape product strategy. You'll be responsible for designing, implementing, and optimizing the reporting processes that deliver critical KPIs and business insights across our organization. Working with loosely defined problems, you'll transform complex data into clear, actionable narratives. Your role will be pivotal in maintaining data governance standards while making insights readily accessible through efficient, self-service data solutions. ABOUT YOU You are proficient in SQL and Python with demonstrated experience delivering products or prototypes end-to-end (from conception, to design, to specification, to code, to test, to measurement, to presentation). You possess an in-depth knowledge of relevant data sources, business intelligence technologies, data science and analytical tools: you know what’s possible, in which direction to steer, and how to move fast with solutions, adjustments, and recommendations. You connect the dots and understand system inter-dependencies and limitations to build efficient solutions. You can frame hypotheses, decisions, and assumptions into a testable structure. You work fast, deliver reliably against your commitments, and have a strong handle on processes that enable your success. You have a business acumen that helps you speak fluently in your business partners’ language, helping them achieve or surpass their goals. You can break down complexity and find innovative solutions to cross-functional problems. You are a team player who is excited to collaborate with other analysts and scientists in our broader organization. As a Director, Product Analytics, you will... - Define and execute measurement and optimization approaches for Audible’s product organization, identifying relevant data sources and leveraging best practice analytical methodologies, including creating and instrumenting the right KPI framework(s) - Partner with Product, Engineering, and Business leaders to define success metrics and measurement frameworks - Lead cross-functional analytics initiatives that directly influence product roadmap and business strategy - Serve as strategic thought partner to stakeholders in the Product organization, earning trust through insightful analysis and clear communication - Consistently deliver accurate and insightful analysis, driving high-quality decision making within our business - Collaborate effectively with other members of our organization, including other analysts, scientists, and economists - Build and maintain reports, dashboards, and other tools to enable on-demand insights for the business - Write compelling documents and deliver crisp presentations, translating complex problems into simplified, relevant outputs that can be quickly understood and actioned by both technical and non-technical audiences ABOUT AUDIBLE Audible is the leading producer and provider of audio storytelling. We spark listeners’ imaginations, offering immersive, cinematic experiences full of inspiration and insight to enrich our customers daily lives. We are a global company with an entrepreneurial spirit. We are dreamers and inventors who are passionate about the positive impact Audible can make for our customers and our neighbors. This spirit courses throughout Audible, supporting a culture of creativity and inclusion built on our People Principles and our mission to build more equitable communities in the cities we call home. Basic Qualifications: - Experience with data analysis tools such as Excel, Pivot Tables, SQL, Tableau, etc. - 7+ years equivalent relevant experience in a data driven/analytical role or 5+ years with an advanced/technical degree in Analytics, Business, Operations Research, Economics, Mathematics, Statistics, Engineering, Sciences (Political or Natural) or similar field - Experience running projects across multiple functions with diverse stakeholder groups (cross functional, cross-geo)Experience running projects across multiple functions with diverse stakeholder groups (cross functional, cross-geo) Preferred Qualifications: - Experience supporting executive reporting and business reviews - 2+ years prior experience in customer service analytics - Ability to work in ambiguous situations with limited guidance - Ability to work an adjusted or flexible schedule that meets the occasional needs of US meeting times - Understanding of data governance principles and practices - Track record of process improvement initiatives that enhanced data accessibility or quality - Strong interpersonal skills with ability to build relationships Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits . USA, NJ, Newark - 143,400.00 - 194,000.00 USD annually", "summaryDescription" : "Director, Product Analytics at Audible, Inc.. Skills: Product analytics, Data insights, Business strategy. Define measurement approaches. 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Partnering with stakeholders; Partnering with audit team; Partnering with data analytics consultants; Work with colleagues in South Africa; Work with colleagues in Europe", "projectManagementSkills" : [ "Agile" ], "domainKnowledge" : "Risk and control issues; Financial risk; Regulatory team", "domainList" : [ "risk-and-control-issues", "financial-risk", "regulatory-team" ], "domainSpecificKnowledge" : [ "Risk and control issues", "Financial risk", "Regulatory team" ], "toolProficiency" : [ "Tableau", "Power BI", "Looker", "Snowflake", "BigQuery", "Redshift", "Databricks", "Dbt", "Fivetran", "Airflow", "MLflow" ], "communicationSkills" : "Communicate technical concepts; Storytelling skills", "documentationSkills" : "Data modelling documentation; Architecture documentation", "continuousLearning" : "Personal learning and development", "innovationCreativity" : "Innovate; Deliver creative solutions", "problemSolvingSkills" : "Solve analytics challenges", "qualificationsBasic" : "Data analysis from requirements gathering to deployment, Communicate technical concepts to wide audience, Data transformation and modelling, Formulate conclusions and recommendations, SQL proficiency, 5+ years of experience", "qualificationsPreferred" : "PhD preferred, Specific ML framework experience, Cloud platform certs", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "About Africa Talent Africa Talent by Deloitte (Africa Talent) is a standalone division of Deloitte, owned by Deloitte Africa and Deloitte Netherlands, based in South Africa. Our goal is to meet the growing demand for Talent in Africa and Europe; by recruiting and developing Talent throughout Sub Saharan Africa in order to service the diverse needs and to enable projects at our clients. Talent employed will have the full experience of Deloitte, while getting both international and local exposure to a diverse set of clients, working remotely from Africa. It will take advantage of the demographic reality of Africa as a future source of talent for both Africa and Europe and at its core, the goal is to create employment in Africa and invest in African talent. The ethos of our organisation is characterised by vision, purpose beyond profit and an appetite to innovate and deliver creative, high impact solutions to client challenges. Every day, your work will make an impact that matters, while you thrive in a dynamic culture of inclusion, collaboration, and high performance. As the undisputed leader in professional services, Deloitte – Africa Talent - is where you will find unrivalled opportunities to succeed and realize your full potential. This new team is a true encapsulation of hybrid work whereby you gain access and exposure to learn from and engage with colleagues in South Africa and across Europe, while working virtually from your local Deloitte office, or from home. The learning consultant is key to the continued development of our Africa Talent Professionals and key to the value we add to making our clients responsible businesses. Being a quickly growing division also brings ample opportunities for personal growth in the role. What’s in it for you? • An ever dynamic and growing internal scaleup with a purpose • The stability and trustworthiness of a purpose driven global brand, ready to build your own future and add to Africa’s prosperity • Being the driver of Africa Talent’s day-to-day operations • A competitive package of benefits • A hybrid work environment with possibility to work at home some days • A driven and ambitious team that looks to you for making the team tick A member of the Data Analytics team, you will assist with applying data analytic techniques to increase an organisation’s capacity to anticipate risk and maximise business opportunities through data driven insights. Deloitte’s deep and thorough understanding of underlying risk and control issues, combined with our knowledge of technology and analytic skills, uniquely helps us to identify high priority risk areas in our client’s businesses and explore those risks using data analytics. Successful candidates will have demonstrated their ability to carry out data analysis from initial requirements gathering through to production deployment and operations. They would have communicated a deep interest in solving analytics challenges using many different techniques and technologies and have demonstrated their ongoing commitment to personal learning and development in this discipline. Excellent communication skills with demonstrated ability to clearly communicate technical concepts to a wide audience is a must. Expertise in data transformation and modelling analytic results, you’ll formulate conclusions and recommendations to client stakeholders, leveraging strong consulting, communication, visualization including storytelling skills. • Work in an agile, collaborative environment, partnering with other stakeholders including audit team and data analytics consultants to integrate the analytics with enterprise-level solution development with the aim of providing viable insights to clients. • Responsible for managing, building and optimizing data architectures and Convert into relevant insights using data analytics technologies and clear interpretations using data governance and data quality processes. • Design of data pipelines for data ingestion and data transformation and ensure the reconciliation and accuracy of the data • Development of data modelling and architecture documentation • Provide technical trainings on data analytics standards and procedures including mentorship to junior colleagues. • Communicate with technical and non-technical stakeholders to understand and define business needs and translate them to a data science context • Contribute to the design and development of analytical solutions in response to these risks. • A passion for continuously improving yourself and how we best solve our clients’ problems • Interact cohesively with other members of the Financial Risk & Regulatory team, including being a buddy to new members of the team. • Open and honest communication to understand what is required of you and how you and others can improve. • Contribute to the analysis and interpretation of data towards relevant communications to explain the value of the work completed. • Assist in identifying and collecting data from financial systems and other related data sources • Assist in assessing and determining the techniques and tools to be used in collection, analysis and communication for a project • Apply selected analytical techniques and tools to achieve project outcomes • Ability to effectively work in technical cross-functional teams • Provide expertise on data analytics and digital transformation • Ability to work independently and manage multiple tasks while maintaining project timelines • Understanding of ML and AI concepts and its applicability. • SAP experience an advantage. • Project management skills essential for this role. • Practical data engineering skillset is a basic requirement but fundamental domain experience in any field is a complimentary advantage ## Qualifications Are you someone with: • 2- 3 years experience with MS SQL Server and experience in visual communication of analysis (i.e. Tableau and Power BI) • Experience extracting and analysing data from complex data sets and systems • Strong attention to detail with a curiosity to understand data • Ability to thrive working in a team environment and serving clients with distinction • Ability to turn data into insights and communicate insights effectively with our clients • Ideally, experience in visual communication of analysis (e.g. Tableau, Qlik, Power BI) • Strong Knowledge of Excel and VBA ## Additional Information We are always interested in talking with professionals about their next career experience. If you have a passion for learning from talented people and benefit from the support of a global organization and network, apply online now. If you believe that you meet most of the criteria above, we encourage you to apply. Deloitte is an equal opportunities employer and will ensure any reasonable accommodations are implemented as part of the recruitment and selection process. Note: The list of tasks / duties and responsibilities contained in this document is not necessarily exhaustive. Deloitte may ask the employee to carry out additional duties or responsibilities, which may fall reasonably within the ambit of the role profile, depending on operational requirements. Be careful of Recruitment Scams: Fraudsters or employment scammers often pose as legitimate recruiters, employers, recruitment consultants or job placement firms, advertising false job opportunities through email, text messages and WhatsApp messages. They aim to cheat jobseekers out of money or to steal personal information. To help you look out for potential recruitment scams, here are some Red Flags: * Upfront Payment Requests : Deloitte will never ask for any upfront payment for background checks, job training, or supplies. * Requests for Personal Information : Be wary if you are asked for sensitive personal information, especially early in the recruitment process and without a clear need for it. Fraudulent links or contractual documents may require the provision of sensitive personal data or copy documents (e.g., government issued numbers or identity documents, passports or passport numbers, bank account statements or numbers, parent’s data) that may be used for identity fraud. Do not provide or send any of these documents or data. Please note we will never ask for photographs at any stage of the recruitment process. * Unprofessional Communication : Scammers may communicate in an unprofessional manner. Their messages may be filled with poor grammar and spelling errors. The look and feel may not be consistent with the Deloitte corporate brand. If you're unsure, make direct contact with Deloitte using our official contact details. Be careful not to use any contact details provided in the suspicious job advertisement or email. At Deloitte, we want everyone to feel they can be themselves and to thrive at work—in every country, in everything we do, every day. We aim to create a workplace where everyone is treated fairly and with respect, including reasonable accommodation for persons with disabilities. We are committed to employment equity and building a diverse and inclusive workplace across the African continent. Our recruitment processes are aligned with our Employment Equity Plan and the principles of the Employment Equity Act. Preference may be given to candidates from designated groups. 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Respond to risks, Continuously improve yourself, Solve clients' problems, Interact cohesively with team members, Be a buddy to new members", "teamCollaboration" : "Agile, collaborative environment; Partnering with stakeholders; Audit team; Data analytics consultants; Financial Risk & Regulatory team", "projectManagementSkills" : [ "Agile" ], "domainKnowledge" : "Risk and control issues; Financial risk; Regulatory", "domainList" : [ "risk-and-control-issues", "financial-risk", "regulatory" ], "domainSpecificKnowledge" : [ "Risk and control issues", "Financial risk", "Regulatory" ], "toolProficiency" : [ "Dbt Cloud" ], "communicationSkills" : "Technical concepts; Storytelling skills", "documentationSkills" : "Data modelling documentation; Architecture documentation", "continuousLearning" : "Personal learning and development", "innovationCreativity" : "Innovate; Creative solutions", "problemSolvingSkills" : "Analytics challenges", "qualificationsBasic" : "5+ years of experience, SQL proficiency, Data analysis experience, Excellent communication skills", "qualificationsPreferred" : "PhD preferred, GCP Professional Data Engineer certification, AWS Data Analytics certification, Databricks Certified certification, Dbt Certified certification", "remoteFriendly" : false, "workSiteFlexibility" : "Hybrid", "rawDescription" : "About Africa Talent Africa Talent by Deloitte (Africa Talent) is a standalone division of Deloitte, owned by Deloitte Africa and Deloitte Netherlands, based in South Africa. Our goal is to meet the growing demand for Talent in Africa and Europe; by recruiting and developing Talent throughout Sub Saharan Africa in order to service the diverse needs and to enable projects at our clients. Talent employed will have the full experience of Deloitte, while getting both international and local exposure to a diverse set of clients, working remotely from Africa. It will take advantage of the demographic reality of Africa as a future source of talent for both Africa and Europe and at its core, the goal is to create employment in Africa and invest in African talent. The ethos of our organisation is characterised by vision, purpose beyond profit and an appetite to innovate and deliver creative, high impact solutions to client challenges. Every day, your work will make an impact that matters, while you thrive in a dynamic culture of inclusion, collaboration, and high performance. As the undisputed leader in professional services, Deloitte – Africa Talent - is where you will find unrivalled opportunities to succeed and realize your full potential. This new team is a true encapsulation of hybrid work whereby you gain access and exposure to learn from and engage with colleagues in South Africa and across Europe, while working virtually from your local Deloitte office, or from home. The learning consultant is key to the continued development of our Africa Talent Professionals and key to the value we add to making our clients responsible businesses. Being a quickly growing division also brings ample opportunities for personal growth in the role. What’s in it for you? • An ever dynamic and growing internal scaleup with a purpose • The stability and trustworthiness of a purpose driven global brand, ready to build your own future and add to Africa’s prosperity • Being the driver of Africa Talent’s day-to-day operations • A competitive package of benefits • A hybrid work environment with possibility to work at home some days • A driven and ambitious team that looks to you for making the team tick A member of the Data Analytics team, you will assist with applying data analytic techniques to increase an organisation’s capacity to anticipate risk and maximise business opportunities through data driven insights. Deloitte’s deep and thorough understanding of underlying risk and control issues, combined with our knowledge of technology and analytic skills, uniquely helps us to identify high priority risk areas in our client’s businesses and explore those risks using data analytics. Successful candidates will have demonstrated their ability to carry out data analysis from initial requirements gathering through to production deployment and operations. They would have communicated a deep interest in solving analytics challenges using many different techniques and technologies and have demonstrated their ongoing commitment to personal learning and development in this discipline. Excellent communication skills with demonstrated ability to clearly communicate technical concepts to a wide audience is a must. Expertise in data transformation and modelling analytic results, you’ll formulate conclusions and recommendations to client stakeholders, leveraging strong consulting, communication, visualization including storytelling skills. • Work in an agile, collaborative environment, partnering with other stakeholders including audit team and data analytics consultants to integrate the analytics with enterprise-level solution development with the aim of providing viable insights to clients. • Responsible for managing, building and optimizing data architectures and Convert into relevant insights using data analytics technologies and clear interpretations using data governance and data quality processes. • Design of data pipelines for data ingestion and data transformation and ensure the reconciliation and accuracy of the data • Development of data modelling and architecture documentation • Provide technical trainings on data analytics standards and procedures including mentorship to junior colleagues. • Communicate with technical and non-technical stakeholders to understand and define business needs and translate them to a data science context • Contribute to the design and development of analytical solutions in response to these risks. • A passion for continuously improving yourself and how we best solve our clients’ problems • Interact cohesively with other members of the Financial Risk & Regulatory team, including being a buddy to new members of the team. • Open and honest communication to understand what is required of you and how you and others can improve. • Contribute to the analysis and interpretation of data towards relevant communications to explain the value of the work completed. • Assist in identifying and collecting data from financial systems and other related data sources • Assist in assessing and determining the techniques and tools to be used in collection, analysis and communication for a project • Apply selected analytical techniques and tools to achieve project outcomes • Ability to effectively work in technical cross-functional teams • Provide expertise on data analytics and digital transformation • Ability to work independently and manage multiple tasks while maintaining project timelines • Understanding of ML and AI concepts and its applicability. • SAP experience an advantage. • Project management skills essential for this role. • Practical data engineering skillset is a basic requirement but fundamental domain experience in any field is a complimentary advantage ## Qualifications Are you someone with: • 2- 3 years experience with MS SQL Server and experience in visual communication of analysis (i.e. Tableau and Power BI) • Experience extracting and analysing data from complex data sets and systems • Strong attention to detail with a curiosity to understand data • Ability to thrive working in a team environment and serving clients with distinction • Ability to turn data into insights and communicate insights effectively with our clients • Ideally, experience in visual communication of analysis (e.g. Tableau, Qlik, Power BI) • Strong Knowledge of Excel and VBA ## Additional Information We are always interested in talking with professionals about their next career experience. If you have a passion for learning from talented people and benefit from the support of a global organization and network, apply online now. If you believe that you meet most of the criteria above, we encourage you to apply. Deloitte is an equal opportunities employer and will ensure any reasonable accommodations are implemented as part of the recruitment and selection process. Note: The list of tasks / duties and responsibilities contained in this document is not necessarily exhaustive. Deloitte may ask the employee to carry out additional duties or responsibilities, which may fall reasonably within the ambit of the role profile, depending on operational requirements. Be careful of Recruitment Scams: Fraudsters or employment scammers often pose as legitimate recruiters, employers, recruitment consultants or job placement firms, advertising false job opportunities through email, text messages and WhatsApp messages. They aim to cheat jobseekers out of money or to steal personal information. To help you look out for potential recruitment scams, here are some Red Flags: * Upfront Payment Requests : Deloitte will never ask for any upfront payment for background checks, job training, or supplies. * Requests for Personal Information : Be wary if you are asked for sensitive personal information, especially early in the recruitment process and without a clear need for it. Fraudulent links or contractual documents may require the provision of sensitive personal data or copy documents (e.g., government issued numbers or identity documents, passports or passport numbers, bank account statements or numbers, parent’s data) that may be used for identity fraud. Do not provide or send any of these documents or data. Please note we will never ask for photographs at any stage of the recruitment process. * Unprofessional Communication : Scammers may communicate in an unprofessional manner. Their messages may be filled with poor grammar and spelling errors. The look and feel may not be consistent with the Deloitte corporate brand. If you're unsure, make direct contact with Deloitte using our official contact details. Be careful not to use any contact details provided in the suspicious job advertisement or email. At Deloitte, we want everyone to feel they can be themselves and to thrive at work—in every country, in everything we do, every day. We aim to create a workplace where everyone is treated fairly and with respect, including reasonable accommodation for persons with disabilities. We are committed to employment equity and building a diverse and inclusive workplace across the African continent. Our recruitment processes are aligned with our Employment Equity Plan and the principles of the Employment Equity Act. Preference may be given to candidates from designated groups. We actively support the inclusion of people with disabilities and embrace neurodiversity in the workplace. We recognise and value the unique strengths that neurodivergent individuals bring, and we are committed to creating an environment where everyone can thrive. If you require reasonable accommodations in relation to your disability and neurodiverse needs during the recruitment process, please let us know. We are happy to make adjustments to suit your individual needs.", "summaryDescription" : "IRL Data Analytics - Consultant at Deloitte. Skills: Data analytics, Data science, Machine learning, Business intelligence. Apply data analytic techniques. Increase organisation's capacity to anticipate risk", "postedDate" : "2026-06-15T12:25:38.000", "createdAt" : "2026-06-16T00:16:19.926", "lastUpdated" : "2026-06-16T10:41:53.011", "ingestTimestamp" : "2026-06-16T00:16:19.926", "mongoId" : "6a306170f292fd229cf96847", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Statistical analysis", "Machine learning", "Data engineering", "Risk anticipation", "Business opportunity maximization", "Data analytics", "Data science", "Business intelligence", "Data transformation", "Data modelling", "Analytics engineering", "Quantitative analysis", "Agile", "Risk and control issues", "Financial risk", "Regulatory", "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified", "Dbt Cloud" ], "skillCount" : 21, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Junior", "dataQualityScore" : 1.0, "_score" : 917.86115, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Consulting", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c6ddb74d8ee00a0920267", "title" : "Technology Risk Manager", "company" : "Wise", "industry" : "Financial Services", "salary" : { "min" : 85000.0, "max" : 125000.0, "currency" : "GBP", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Technology Risk Manager in London, UK, adjusted for the FinTech industry and a large company size." }, "location" : "London, United Kingdom", "locations" : [ "London", "United Kingdom" ], "timestamp" : "2026-06-15T04:42:21.025", "fingerprint" : "c7c8971c8fedefe0ed36f88630bc9e237b34a7615ba3523b5988b8e99bff5ead", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/Wise/744000131919800-technology-risk-manager", "externalId" : "744000131919800", "industryFunction" : { }, "structuredLocations" : [ { "city" : "London", "country" : "United Kingdom", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "51.5074456,-0.1277653" } ], "locationText" : "London, United Kingdom", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "mid", "technicalSkills" : "AWS, GCP", "professionalSkills" : [ "Risk management", "IT audit", "Information security", "Technology risk" ], "hardSkillsList" : [ "Risk assessment", "Control testing", "Technical audits" ], "softSkillsList" : [ "Pragmatic approach", "Ownership" ], "hardSkills" : [ { "name" : "Risk assessment", "level" : "intermediate" }, { "name" : "Control testing", "level" : "intermediate" }, { "name" : "Technical audits", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Pragmatic approach" }, { "name" : "Ownership" } ], "majorSkills" : "Technology risk, Risk assessment, Information security", "majorSkillsList" : [ "Technology risk", "Risk assessment", "Information security" ], "coreResponsibilities" : "Facilitate risk assessment activities, Execute risk assessment activities, Partner with 1LoD functions, Support managing risks, Support managing issues, Support improving control environment, Maintain technology risk taxonomy, Update technology risk taxonomy, Support technology risk reporting, Support technology risk analysis, Enhance Key Risk Indicators, Drive risk oversight activities, Execute risk oversight activities, Drive monitoring activities, Execute monitoring activities, Own technology risk initiatives delivery, Evaluate technology risk operational processes, Improve technology risk operational processes, Evaluate reporting frameworks, Improve reporting frameworks, Manage technology risk data, Maintain technology risk data, Monitor technology risk data, Participate in compliance initiatives, Support compliance initiatives, Implement group wide processes, Improve group wide processes", "teamCollaboration" : "Work with engineers; Partner with stakeholders; Collaborate with risk team", "projectManagementSkills" : [ "Stakeholder management" ], "domainKnowledge" : "Platform engineering; Information security; Data domains; CobIT; ITIL; PCI-DSS; ISO 27001; ISO 22301; CIS; NIST CSF; Cyber security; Business continuity; Resilience; Public cloud platforms; Operational Resilience", "domainList" : [ "platform-engineering", "information-security", "data-domains", "cobit", "itil", "pci-dss", "iso-27001", "iso-22301", "cis", "nist-csf", "cyber-security", "business-continuity", "resilience", "public-cloud-platforms", "operational-resilience" ], "domainSpecificKnowledge" : [ "Platform engineering", "Information security", "Data domains", "CobIT", "ITIL", "PCI-DSS", "ISO 27001", "ISO 22301", "CIS", "NIST CSF", "Cyber security", "Business continuity", "Resilience", "Public cloud platforms", "Operational Resilience" ], "toolProficiency" : [ "GRC tool" ], "qualificationsBasic" : "5+ years technology risk/audit experience, Experience executing control identification/testing, Experience executing risk assessment initiatives", "qualificationsPreferred" : "Experience in financial services, Experience in cyber security audits, Experience in business continuity/resilience audits", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Wise is a global technology company, building the best way to move and manage the world’s money. Min fees. Max ease. Full speed. Whether people and businesses are sending money to another country, spending abroad, or making and receiving international payments, Wise is on a mission to make their lives easier and save them money. As part of our team, you will be helping us create an entirely new network for the world's money. For everyone, everywhere. More about [our mission](https://wise.jobs/our-mission) and [what we offer](https://wise.jobs/what-we-offer). As a Technology Risk Manager at Wise, you will be a key pillar within the Group Technology Risk team. You will drive the monitoring and oversight of our technology risks and controls across our most critical domains, including platform engineering, information security, and data. Additionally, You will execute projects to manage, maintain and enhance our risk management processes and drive continuous improvement. On a day to day basis, you will collaborate and work closely with the wider engineering organisation at Wise. You’ll contribute to the mission by: Collaborating & partnering with various technology, business and risk stakeholders to make risk simple, measurable and visible to help Wise make faster, bolder decisions critical for our mission without compromising safety, customer experience and scalability. This is an exciting opportunity if you have technology risk management, IT audit and/or information security experience and are looking to have an impact with your work. The role will report to and be supported by the Senior Technology Risk Manager and be based in London. What you’ll be doing: * Facilitate and execute risk assessment activities for technology risks covering platform, information security, engineering & data domains * Partner with 1LoD functions to support them with managing risks, issues and improving the control environment. This includes providing hands-on support and working with engineers * Maintain and update our technology risk taxonomy * Support with regular technology risk reporting & analysis to risk committees * Support the continual enhancement of Key Risk Indicators * Drive and execute risk oversight & monitoring activities for technology risks * Own the delivery of technology risk initiatives end-to-end, including stakeholder management * Continuously evaluate and improve our technology risk operational processes and reporting frameworks, ensuring they remain efficient, scalable, and fit for purpose * Actively manage, maintain and monitor technology risk data in Wise’s GRC tool * Participate in and support ongoing compliance initiatives such as Operational Resilience etc * Collaborate with the wider risk team to implement new and improve existing group wide processes What you’ll bring: * 5+ years’ experience as a technology risk and/or audit professional, preferably in financial services * Experience executing or facilitating audits or engagements based on global best practice frameworks such as CobiT, ITIL, PCI-DSS, ISO 27001/22301, CIS, NIST CSF, etc * Experience in cyber security and/or business continuity/resilience audits or implementation projects * Hands-on experience executing control identification/testing, technical audits, and risk assessment initiatives over services hosted on public cloud platforms such as AWS and GCP * Strong interpersonal skills and the ability to develop effective, trustworthy relationships with platform, security, and business stakeholders * A pragmatic approach to risk management, with the ability to balance robust control requirements with the need for business agility, speed, and scalability * A proactive, self-starter mindset with a proven ability to take ownership of tasks, work independently, and drive initiatives forward in a fast-paced environment ## Additional Information For everyone, everywhere. We're people building money without borders — without judgement or prejudice, too. We believe teams are strongest when they are diverse, equitable and inclusive. We're proud to have a truly international team, and we celebrate our differences. Inclusive teams help us live our values and make sure every Wiser feels respected, empowered to contribute towards our mission and able to progress in their careers. If you want to find out more about what it's like to work at Wise visit [Wise.Jobs](https://www.wise.jobs/). Keep up to date with life at Wise by following us on [LinkedIn](https://www.linkedin.com/company/1769571/) and [Instagram](https://www.instagram.com/wisecareers/).", "summaryDescription" : "Technology Risk Manager at Wise. Skills: Technology risk, Risk assessment, Information security. Facilitate risk assessment activities. 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"Technology" }, { "id" : "6a2c798e74d8ee00a0941d6c", "title" : "Director, Data & Analytics – Fanatics Collectibles (Digital Gaming)", "company" : "Fanatics Collectibles", "industry" : "E-Commerce", "salary" : { "min" : 170650.0, "max" : 210000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Los Angeles, California, United States", "locations" : [ "Los Angeles", "California", "United States", "New York", "New York", "United States" ], "timestamp" : "2026-06-16T05:40:12.465", "fingerprint" : "ef7ad83bbd0bfd47c913f3ab21376223514389ff9040f0c09bcf71059c3ba82e", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/fanaticscollectibles/jobs/4253029009", "externalId" : "4253029009", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Los Angeles", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "34.0536909,-118.2427660" } ], "locationText" : "Los Angeles, California, United States", "employmentType" : "FULL_TIME", "experienceLevel" : "Director", "technicalSkills" : "SQL, Python, R, Databricks, Looker, Mixpanel", "professionalSkills" : [ "Data modeling", "Product analytics", "Data warehousing", "Data governance", "Data architecture", "Business intelligence", "Data engineering", "Analytics engineering", "Quantitative analysis", "Machine learning", "AI" ], "hardSkillsList" : [ "Data pipeline development", "Data modeling", "ETL development", "Data warehousing", "Data governance", "Data architecture", "Business intelligence", "Data engineering", "Analytics engineering", "Quantitative analysis", "Machine learning", "AI", "SQL optimization", "Data analysis", "Statistical analysis", "A/B testing", "Causal inference" ], "softSkillsList" : [ "Leadership" ], "hardSkills" : [ { "name" : "Data pipeline development", "level" : "intermediate" }, { "name" : "Data modeling", "level" : "intermediate" }, { "name" : "ETL development", "level" : "intermediate" }, { "name" : "Data warehousing", "level" : "intermediate" }, { "name" : "Data governance", "level" : "intermediate" }, { "name" : "Data architecture", "level" : "intermediate" }, { "name" : "Business intelligence", "level" : "intermediate" }, { "name" : "Data engineering", "level" : "intermediate" }, { "name" : "Analytics engineering", "level" : "intermediate" }, { "name" : "Quantitative analysis", "level" : "intermediate" }, { "name" : "Machine learning", "level" : "intermediate" }, { "name" : "AI", "level" : "intermediate" }, { "name" : "SQL optimization", "level" : "intermediate" }, { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Statistical analysis", "level" : "intermediate" }, { "name" : "A/B testing", "level" : "intermediate" }, { "name" : "Causal inference", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" } ], "majorSkills" : "Data engineering, Data modeling, Product analytics, Business intelligence", "majorSkillsList" : [ "Data engineering", "Data modeling", "Product analytics", "Business intelligence" ], "coreResponsibilities" : "Own data stack, Improve data stack reliability, Improve data stack structure, Improve data stack usability, Build data pipelines, Maintain data pipelines, Build data models, Maintain data models, Build datasets, Maintain datasets, Establish KPI definitions, Establish reporting, Partner with product, Partner with game design, Partner with UI/UX, Translate roadmap questions, Translate business questions, Define success measurement, Ensure data access, Ensure data understanding, Support cross-platform initiatives, Provide clean data, Provide unified data, Provide reporting, Deliver consistent reporting, Deliver insights, Build scalable data pipelines, Build scalable workflows, Design clean datasets, Design well-structured datasets, Own product analytics instrumentation, Own event tracking, Develop dashboards, Develop reporting, Analyze player behavior, Analyze player engagement, Analyze player monetization, Identify opportunities for growth, Support experimentation, Support A/B testing, Improve product performance, Partner with engineering, Partner with platform teams, Align data across systems, Operate as hands-on leader, Directly own data workflows, Work with dashboard resource", "teamCollaboration" : "Partner with product; Partner with game design; Partner with UI/UX; Partner with engineering; Partner with platform teams; Work with stakeholders", "projectManagementSkills" : [ "Roadmap planning" ], "domainKnowledge" : "Digital gaming; Player behavior; Player engagement; Monetization; Collectibles; Digital collectibles; Sports collectibles; Sports memorabilia; Sportsbook; iGaming; Trading cards; Fanatics ecosystem; Sports properties; Sports fans; Creators", "domainList" : [ "digital-gaming", "player-behavior", "player-engagement", "monetization", "collectibles", "digital-collectibles", "sports-collectibles", "sports-memorabilia", "sportsbook", "igaming", "trading-cards", "fanatics-ecosystem", "sports-properties", "sports-fans", "creators" ], "domainSpecificKnowledge" : [ "Digital gaming", "Player behavior", "Player engagement", "Monetization", "Collectibles", "Digital collectibles", "Sports collectibles", "Sports memorabilia", "Sportsbook", "iGaming", "Trading cards", "Fanatics ecosystem", "Sports properties", "Sports fans", "Creators" ], "toolProficiency" : [ "Databricks", "Looker", "Mixpanel" ], "communicationSkills" : "Explain insights; Non-technical terms", "problemSolvingSkills" : "Translate business questions; Translate roadmap questions", "qualificationsBasic" : "5+ years in data engineering, 5+ years in analytics, 5+ years in related roles, Hands-on experience building data pipelines, Hands-on experience maintaining data pipelines, Hands-on experience building data models, Hands-on experience maintaining data models, Advanced SQL skills, Experience with Python for data analysis, Experience with Python for modeling, Experience with Python for automation, Experience with R for data analysis, Experience with R for modeling, Experience with R for automation, Experience with modern data platforms, Experience with BI tools, Experience with product analytics tools, Experience working with product teams, Experience working with non-technical stakeholders", "qualificationsPreferred" : "Experience in free-to-play gaming, Experience in marketplaces, Experience in digital collectibles, Experience with identity systems, Experience with cross-platform data, Knowledge of physical card collecting, Knowledge of digital card collecting, Experience supporting reporting for external partners, Experience supporting reporting for licensors", "workSiteFlexibility" : "Flexible", "rawDescription" : "About Us Fanatics is building a leading global digital sports platform. We ignite the passions of global sports fans and maximize the presence and reach for our hundreds of sports partners globally by offering products and services across Fanatics Commerce, Fanatics Collectibles, and Fanatics Betting collect physical and digital trading cards, sports memorabilia, and other digital assets; and bet as the company builds its Sportsbook and iGaming platform. Fanatics has an established database of over 100 million global sports fans; a global partner network with approximately 900 sports properties, including major national and international professional sports leagues, players associations, teams, colleges, college conferences and retail partners, 2,500 athletes and celebrities, and 200 exclusive athletes; and over 2,000 retail locations, including its Lids retail stores. Our more than 22,000 employees are committed to relentlessly enhancing the fan experience and delighting sports fans globally. About the Team Fanatics Collectibles is a new company operating at the intersection of collectibles, culture, and technology. Backed by world-class investors, operators, and sports & entertainment partners, we are building the global leader in next-generation collectibles. As part of the broader Fanatics ecosystem, we leverage a digital sports platform that spans over 900 sports properties and engages more than 81 million fans. Together, we are reimagining every part of the collectibles experience for fans, partners, and creators. Role Summary We’re looking for a hands-on data leader to own and rebuild the data foundation for our digital gaming portfolio. This role will be responsible for how data is collected, stored, modeled, and used across the business—and will partner closely with product to ensure we’re making better decisions around player behavior, engagement, and monetization. This is not a pure management role. You will initially operate as a player-coach, directly owning key data workflows while laying the groundwork to scale the function over time. What You'll Do: Take ownership of the existing data stack and improve its reliability, structure, and usability Build and maintain core data pipelines, models, and datasets (hands-on) Establish clear KPI definitions and reporting used by product, leadership, and external partners Partner closely with product, game design, and UI/UX to translate roadmap questions into data and insights Act as the bridge between product and data—translating business questions into data requirements and explaining insights in clear, non-technical terms Define how we measure whether features, events, and in-game changes are successful Ensure product, marketing, and studio teams can easily access and understand the data they need Support cross-platform initiatives (e.g., Fanatics One login, webshop/backend integration) with clean, unified data and reporting Deliver consistent reporting and insights to licensors (MLB, NBA, Disney, etc.) Lay the foundation for scaling the data team over time Responsibilities Build and maintain scalable data pipelines and workflows using modern data platforms (e.g., Databricks or similar) Design and maintain clean, well-structured datasets for analytics and reporting Own product analytics instrumentation and event tracking across mobile apps Develop dashboards and reporting using BI and analytics tools (e.g., Looker, mixpanel, or similar) Analyze player behavior, engagement, and monetization to identify opportunities for growth Support experimentation and A/B testing to improve product performance Partner with engineering and platform teams to align data across systems (identity, commerce, marketplace) Operate as a hands-on leader, directly owning key data workflows Work with an existing dashboard/BI resource Required Experience 5+ years in data engineering, analytics, or related roles, ideally in mobile, gaming, or consumer apps Strong hands-on experience building and maintaining data pipelines and data models Advanced SQL skills Experience with Python and/or R for data analysis, modeling, or automation Experience with modern data platforms Experience with BI and product analytics tools Experience working closely with product teams and non-technical stakeholders Preferred Experience in free-to-play gaming, marketplaces, or digital collectibles Experience with identity systems and cross-platform data (e.g., SSO, unified user profiles) Knowledge of physical and/or digital card collecting ecosystem Experience supporting reporting for external partners or licensors Success Profile Hands-on builder who is comfortable working in the data layer directly Able to translate between technical and non-technical stakeholders Pragmatic—focuses on what’s useful vs. perfect Comfortable operating in an environment that is still being built Ensure your Fanatics job offer is legitimate and don’t fall victim to fraud. Fanatics never seeks payment from job applicants. Feel free to ask your recruiter for a phone call or other type of communication for interview, and ensure your communication is coming from a Fanatics email address (including @collectfanatics.com). For added security, where possible, apply through our company website at www.fanaticsinc.com/careers The salary range represents base pay only and does not include short-term or long-term incentive compensation. This salary range is specific to Los Angeles and may not be applicable to other locations. When determining base pay, as part of a final compensation package, we consider several factors such as location, experience, qualifications, and training. For information about our benefits, please visit https://benefitsatfanatics.com/ Los Angeles Salary Range $170,650—$210,000 USD The salary range represents base pay only and does not include short-term or long-term incentive compensation. This salary range is specific to New York City and may not be applicable to other locations. When determining base pay, as part of a final compensation package, we consider several factors such as location, experience, qualifications, and training. For information about our benefits, please visit https://benefitsatfanatics.com/ NYC Salary Range $180,750—$230,000 USD By submitting your application, you agree to our terms of service and acknowledge you have read our Candidate Privacy Policy.", "summaryDescription" : "Director, Data & Analytics – Fanatics Collectibles (Digital Gaming) at Fanatics Collectibles. Skills: Data engineering, Data modeling, Product analytics, Business intelligence. Own data stack. Improve data stack reliability", "postedDate" : "2026-06-14T19:17:21.096", "createdAt" : "2026-06-14T19:17:21.096", "lastUpdated" : "2026-06-16T05:40:12.465", "ingestTimestamp" : "2026-06-14T19:17:21.096", "mongoId" : "6a2c798e74d8ee00a0941d6c", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 170650, "salaryAnnualMax" : 210000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Data pipeline development", "Data modeling", "ETL development", "Data warehousing", "Data governance", "Data architecture", "Business intelligence", "Data engineering", "Analytics engineering", "Quantitative analysis", "Machine learning", "AI", "SQL optimization", "Data analysis", "Statistical analysis", "A/B testing", "Causal inference", "Leadership", "Product analytics", "Roadmap planning", "Digital gaming", "Player behavior", "Player engagement", "Monetization", "Collectibles", "Digital collectibles", "Sports collectibles", "Sports memorabilia", "Sportsbook", "iGaming", "Trading cards", "Fanatics ecosystem", "Sports properties", "Sports fans", "Creators", "Databricks", "Looker", "Mixpanel" ], "skillCount" : 38, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Director", "dataQualityScore" : 1.0, "_score" : 916.4062, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2a5d4174d8ee00a06184dd", "title" : "Treasury Risk Associate Director", "company" : "AirTrunk", "industry" : "Data Centre", "salary" : { "min" : 185000.0, "max" : 275000.0, "currency" : "SGD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Director-level Treasury Risk Associate Director in Singapore, adjusted for the Real Estate industry and company size." }, "location" : "Singapore HQ", "locations" : [ "Singapore HQ" ], "timestamp" : "2026-06-14T04:38:28.677", "fingerprint" : "93085e7e8160b5cab4eedb694641fb16285863d7d91fb2560c2b268e16562fab", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/airtrunk/jobs/7760926003", "externalId" : "7760926003", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Singapore", "country" : "Singapore", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "1.2899175,103.8519072" } ], "locationText" : "Singapore, Singapore", "experienceLevel" : "Director", "technicalSkills" : "Python, R, MATLAB, SQL, Bloomberg Terminal, Reuters Eikon, FactSet, Murex, Calypso", "professionalSkills" : [ "Financial modeling", "Scenario analysis", "Capital planning", "Risk management", "Hedging strategies", "Debt origination", "Capital markets", "Financing strategy", "Market execution", "Risk insight" ], "hardSkillsList" : [ "Interest rate hedging", "FX hedging", "Financial modelling", "Scenario analysis", "Capital planning", "Debt structuring", "Financing execution" ], 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debt origination, Partner on capital markets transactions, Partner on financing strategy, Engage with banks, Engage with investors, Engage with financial counterparties, Lead execution of interest rate hedging, Lead active management of interest rate hedging, Lead execution of FX hedging, Lead active management of FX hedging, Price hedging instruments, Time hedging instruments, Optimise hedging structures, Support structuring debt financing, Support execution debt financing, Provide forward-looking analysis, Inform strategic decisions, Inform transaction timing, Develop financial models, Maintain financial models, Assess sensitivity to market movements, Support capital planning, Support investment decisions, Maintain dialogue with banks, Maintain dialogue with lenders, Maintain dialogue with market participants, Source market intelligence, Source pricing, Source transaction opportunities, Evaluate capital structures, Refine capital structures, Deliver insights to senior management, Deliver insights to board, Deliver insights to investors", "teamCollaboration" : "External counterparties engagement", "domainKnowledge" : "Interest rate markets; FX markets; Debt financing; Capital markets; Project finance; Real assets; Infrastructure finance; Sustainable finance", "domainList" : [ "interest-rate-markets", "fx-markets", "debt-financing", "capital-markets", "project-finance", "real-assets", "infrastructure-finance", "sustainable-finance" ], "domainSpecificKnowledge" : [ "Interest rate markets", "FX markets", "Debt financing", "Capital markets", "Project finance", "Real assets", "Infrastructure finance", "Sustainable finance" ], "toolProficiency" : [ "Bloomberg Terminal", "Reuters Eikon", "FactSet", "Murex", "Calypso" ], "communicationSkills" : "Stakeholder communication", "problemSolvingSkills" : "Risk-informed decision making", "qualificationsBasic" : "Bachelor's degree in finance, Min. 9 years experience, Deep understanding of interest rate, Familiarity with loan documentation", "qualificationsPreferred" : "Experience in infrastructure, Experience in real assets, Experience in project finance", "workSiteFlexibility" : "Onsite", "rawDescription" : "Want to be a part of Asia Pacific & Middle East's (APME) largest, most innovative, and rapidly growing data centre company? AirTrunk is a technology company with a powerful purpose - to scale and sustain the relentless growth of the region’s digital future. We do this by continuously redefining and delivering hyperscale data centres that meet the needs of our customers - the world’s most transformational companies. And we’re doing so sustainably, for today and tomorrow. Having opened Australia’s first and largest hyperscale data centres in 2017, we set our eyes on rapid expansion and now operate a platform of hyperscale data centres across the APME region. With backing from our investors, including Blackstone, this is just the beginning… Come join the A-Team at AirTrunk, where the cloud meets the ground. Snapshot As Treasury Risk Associate Director, based in our Singapore office, you will sit at the intersection of financial markets, funding strategy, and risk-taking decisions across AirTrunk’s global platform. Working closely with the Head of Treasury Risk and Operations, you will actively shape and execute strategies across funding, liquidity, interest rate and FX risk, supporting multi-billion-dollar capital deployment across APAC. This is a commercially focused role, combining market execution with risk insight, in a fast-scaling, capital-intensive environment. You will make an impact in a number of ways: · Drive execution and optimisation of hedging strategies across interest rate and FX exposures · Provide real-time risk insight to support funding and investment decisions · Partner on debt origination, capital markets transactions, and financing strategy · Engage directly with banks, investors, and financial counterparties Your Day to Day · Market Risk & Hedging Execution: Lead execution and active management of interest rate and FX hedging strategies (e. g. swaps, forwards), including pricing, timing, and optimisation of structures. · Funding & Capital Markets Strategy: Support structuring and execution of debt financing transactions (loans, DCM, private placements), incorporating market conditions, pricing, and risk considerations. · Risk-Informed Decision Making: Provide forward-looking analysis on interest rates, FX movements, and funding markets to inform strategic decisions and timing of transactions. · Financial Modelling & Scenario Analysis: Develop and maintain models to assess sensitivity to market movements (rates, FX, credit spreads), supporting capital planning and investment decisions. · Counterparty & Market Engagement: Maintain active dialogue with banks, lenders, and market participants to source market intelligence, pricing, and transaction opportunities. · Capital Structure Optimisation: Evaluate and refine capital structures across projects and geographies, balancing risk, return, and flexibility. · Reporting & Stakeholder Communication: Deliver clear, commercially focused insights to senior management, board, and investors on market conditions, risk positions, and strategic actions. Requirements · A Bachelor's degree (or above) in finance, economics, or a related field. · Min. 9years of experience in corporate treasury, investment banking, or markets-facing roles. · Deep understanding of interest rate and FX markets, including hedging instruments and execution. · Proven ability to operate in a front-office or commercially driven treasury environment. · Experience with financial modelling, scenario analysis, and capital planning. · Familiarity with loan documentation and financing structures. · Experience in infrastructure, real assets, or project finance highly regarded. · Strong commercial acumen and ability to translate market movements into business impact. · Excellent stakeholder management skills, including external counterparties (banks, investors). · Ability to thrive in a fast-paced, high-growth, global HQ environment. · Interest in ESG and sustainable finance. The AirTrunk Culture Working at AirTrunk is a once in a lifetime opportunity to fast-track your career and amplify your impact. Whilst you’re helping scale our region’s digital future, we’ll help you Grow@Hyperscale and unleash your full potential. The pace in which we operate means you’ll feel an electric atmosphere at AirTrunk. We are a team of challengers and collaborative problem solvers who break new ground every day. We do this by living our values, going above and beyond, and being dynamic, transparent, and responsive. Every AirTrunker brings their own unique background and diverse perspective to find solutions to problems that matter. We make sure you have everything you need to make your mark and thrive in a flexible and safe working environment, where everyone feels welcome. Our benefits empower AirTrunkers to stay positively charged. Now’s your chance to Grow@Hyperscale. **To all recruitment agencies: AirTrunk does not accept agency resumes. Please do not forward resumes to our jobs alias, AirTrunk employees or any other organisation location. AirTrunk is not responsible for any fees related to unsolicited resumes.**", "summaryDescription" : "Treasury Risk Associate Director at AirTrunk. Skills: Treasury risk, Interest rate risk, FX risk, Hedging execution, Funding strategy. Drive execution of hedging strategies. 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Every part of the journey — buy/sell, insurance, maintenance, repairs — is fragmented, complicated, and expensive. Jerry.ai http://Jerry.ai is building the first app to manage it all. We started with car insurance in 2019, became one of the top 3 brokers in the U.S., then added driving insights, diagnostics, and a repair marketplace. We've reached 5M+ customers, raised $240M+, scaled revenue 70X, and became profitable in early 2024. We're now expanding into adjacent verticals (e.g. home, motorcycle, RV, etc) to become the one-stop-shop for all your physical assets. Why We’re Hiring Our BizOps & Analytics team has been a force multiplier and accelerant to our business that has helped us reach these pivotal milestones in spite of headwinds and within a highly competitive market. They are a team of former McKinsey, BCG and Bain consultants who drive data & insights, and inform decision-making across every corner of our business. They are analytical powerhouses and first principles problem solvers who push forward our most important initiatives across product, growth, tech, and operations. Every business unit has a BizOps team member embedded within it — someone who doesn't just run analyses and build dashboards, but shapes what questions we should ask, what data to pull, what conclusions to draw, what decisions to make, and then drives our teams towards our next goal: go from 5M to 50M customers and become a $10B business in the next 4 years. As our business continues to expand, there is growing demand for more BizOps team members. We are hiring 4-6 people to drive impact in these areas: - Growth Marketing - Product Development - AI & Automation - Strategic Partnerships On leveling: You may see job ads for this role at different job levels. Our priority is finding the right people, we can be flexible with job title/leveling. Why You Will (Or Won't) Like Working Here - No slides: If you've worked in consulting, you know what it feels like to be up at 3am reformatting a deck. That doesn't exist here. The only work that gets done at Jerry is work that will materially change the trajectory of our business — an important product, a new growth channel, a key metric, a critical partner relationship, etc. - No corporate fluff: The BizOps & Analytics team is 14 insatiable learners who care deeply about solving difficult problems and making a tangible impact. Every person owns a critical domain. There is no bloat, unnecessary meetings, or waiting for approvals. - Hands-on: This is not a pure strategy role, you will also own execution. Your day-to-day will be surfacing analytical insights, driving decisions, and seeing them through end-to-end. What You'll Own You'll sit on our central BizOps & Analytics team but you’ll be embedded in one of Jerry's core business areas — growth, product, AI and automation, strategic partnerships — and own the analytical function for that business unit end-to-end. - Define the right problems: Before any analysis, understand what business question it's answering and what decision it will inform. Push back if the question is flawed. - Data and insights: Define metrics, build reports, run analyses, design experiments, and surface data insights that move your team's key metrics. - Drive outcomes: Bring recommendations to your counterparts in product, growth, finance or operations, tell them what's happening and why, and what next steps should be. Who You Are - First principles thinker: You break ambiguous problems into clear hypotheses before touching data. You're analytically strong (comfortable with Excel, SQL or Python) but your instinct is to ask \"what are we trying to solve here?\" before jumping to \"what should I build?\" - Direct communicator: You can walk a skeptical stakeholder through a complex finding and get buy-in quickly. You write clearly, speak precisely, and don't bury the lede. - Owner: You act like your name is on the door. If something is broken, you feel responsible for fixing it, even if it’s outside of your swim lane. What You'll Bring - 1+ years of experience at a consulting firm, investment bank, or high-growth technology company. - Strong analytical skills; ability to pull, structure, and interpret data independently. - Track record of owning ambiguous problems and delivering impact. - Clear, persuasive communicator who can influence decisions at the leadership level. Our Tools SQL (Clickhouse), Metabase, Python, Jupyter Hub, GitHub. While we appreciate your interest and application, only applicants under consideration will be contacted. Jerry.ai is proud to be an Equal Employment Opportunity employer. We prohibit discrimination based on race, religion, color, national origin, sex, pregnancy, reproductive health decisions or related medical conditions, sexual orientation, gender identity, gender expression, age, veteran status, disability, genetic information, or other characteristics protected by applicable local, state or federal laws. Jerry.ai is committed to providing reasonable accommodations for individuals with disabilities in our job application process. If you need assistance or an accommodation due to a disability, please contact us at recruiting@jerry.ai recruiting@getjerry.com The successful candidate’s starting pay will fall within the pay range listed on this job posting, determined based on job-related factors including, but not limited to, skills, experience, qualifications, work location, and market conditions. Ranges are market-dependent and may be modified in the future. In addition to base salary, the compensation may include opportunities for equity grants. We offer a comprehensive benefits package to regular employees, including health, dental, and vision coverage, paid time off, paid parental leave, 401(K) plan with employer matching, and wellness benefits, among others. Equity opportunities may also be part of your total rewards package. Part-time, contract, or freelance roles may not be eligible for certain benefits. About Jerry.ai Jerry.ai is America’s first and only super app to radically simplify car ownership. We are redefining how people manage owning a car, one of their most expensive and time-consuming assets. Backed by artificial intelligence and machine learning, Jerry.ai simplifies and automates owning and maintaining a car while providing personalized services for all car owners' needs. We spend every day innovating and improving our AI-powered app to provide the best possible experience for our customers. From car insurance and financing to maintenance and safety, Jerry.ai does it all. We are the #1 rated and most downloaded app in our category with a 4.7 star rating in the App Store. We have more than 5 million customers — and we’re just getting started. Jerry.ai was founded in 2017 by serial entrepreneurs and has raised more than $240 million in financing. Join our team and work with passionate, curious and egoless people who love solving real-world problems. Help us build a revolutionary product that’s disrupting a massive market.", "summaryDescription" : "Associate, BizOps & Analytics at Jerry.ai. Skills: BizOps, Analytics, Problem solving, Data insights. Define business questions. 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Every part of the journey — buy/sell, insurance, maintenance, repairs — is fragmented, complicated, and expensive. Jerry.ai http://Jerry.ai is building the first app to manage it all. We started with car insurance in 2019, became one of the top 3 brokers in the U.S., then added driving insights, diagnostics, and a repair marketplace. We've reached 5M+ customers, raised $240M+, scaled revenue 70X, and became profitable in early 2024. We're now expanding into adjacent verticals (e.g. home, motorcycle, RV, etc) to become the one-stop-shop for all your physical assets. Why We’re Hiring Our BizOps & Analytics team has been a force multiplier and accelerant to our business that has helped us reach these pivotal milestones in spite of headwinds and within a highly competitive market. They are a team of former McKinsey, BCG and Bain consultants who drive data & insights, and inform decision-making across every corner of our business. They are analytical powerhouses and first principles problem solvers who push forward our most important initiatives across product, growth, tech, and operations. Every business unit has a BizOps team member embedded within it — someone who doesn't just run analyses and build dashboards, but shapes what questions we should ask, what data to pull, what conclusions to draw, what decisions to make, and then drives our teams towards our next goal: go from 5M to 50M customers and become a $10B business in the next 4 years. As our business continues to expand, there is growing demand for more BizOps team members. We are hiring 4-6 people to drive impact in these areas: - Growth Marketing - Product Development - AI & Automation - Strategic Partnerships On leveling: You may see job ads for this role at different job levels. Our priority is finding the right people, we can be flexible with job title/leveling. Why You Will (Or Won't) Like Working Here - No slides: If you've worked in consulting, you know what it feels like to be up at 3am reformatting a deck. That doesn't exist here. The only work that gets done at Jerry is work that will materially change the trajectory of our business — an important product, a new growth channel, a key metric, a critical partner relationship, etc. - No corporate fluff: The BizOps & Analytics team is 14 insatiable learners who care deeply about solving difficult problems and making a tangible impact. Every person owns a critical domain. There is no bloat, unnecessary meetings, or waiting for approvals. - Hands-on: This is not a pure strategy role, you will also own execution. Your day-to-day will be surfacing analytical insights, driving decisions, and seeing them through end-to-end. What You'll Own You'll sit on our central BizOps & Analytics team but you’ll be embedded in one of Jerry's core business areas — growth, product, AI and automation, strategic partnerships — and own the analytical function for that business unit end-to-end. - Define the right problems: Before any analysis, understand what business question it's answering and what decision it will inform. Push back if the question is flawed. - Data and insights: Define metrics, build reports, run analyses, design experiments, and surface data insights that move your team's key metrics. - Drive outcomes: Bring recommendations to your counterparts in product, growth, finance or operations, tell them what's happening and why, and what next steps should be. Who You Are - First principles thinker: You break ambiguous problems into clear hypotheses before touching data. You're analytically strong (comfortable with Excel, SQL or Python) but your instinct is to ask \"what are we trying to solve here?\" before jumping to \"what should I build?\" - Direct communicator: You can walk a skeptical stakeholder through a complex finding and get buy-in quickly. You write clearly, speak precisely, and don't bury the lede. - Owner: You act like your name is on the door. If something is broken, you feel responsible for fixing it, even if it’s outside of your swim lane. What You'll Bring - 1+ years of experience at a consulting firm, investment bank, or high-growth technology company. - Strong analytical skills; ability to pull, structure, and interpret data independently. - Track record of owning ambiguous problems and delivering impact. - Clear, persuasive communicator who can influence decisions at the leadership level. Our Tools SQL (Clickhouse), Metabase, Python, Jupyter Hub, GitHub. While we appreciate your interest and application, only applicants under consideration will be contacted. Jerry.ai is proud to be an Equal Employment Opportunity employer. We prohibit discrimination based on race, religion, color, national origin, sex, pregnancy, reproductive health decisions or related medical conditions, sexual orientation, gender identity, gender expression, age, veteran status, disability, genetic information, or other characteristics protected by applicable local, state or federal laws. Jerry.ai is committed to providing reasonable accommodations for individuals with disabilities in our job application process. If you need assistance or an accommodation due to a disability, please contact us at recruiting@jerry.ai recruiting@getjerry.com The successful candidate’s starting pay will fall within the pay range listed on this job posting, determined based on job-related factors including, but not limited to, skills, experience, qualifications, work location, and market conditions. Ranges are market-dependent and may be modified in the future. In addition to base salary, the compensation may include opportunities for equity grants. We offer a comprehensive benefits package to regular employees, including health, dental, and vision coverage, paid time off, paid parental leave, 401(K) plan with employer matching, and wellness benefits, among others. Equity opportunities may also be part of your total rewards package. Part-time, contract, or freelance roles may not be eligible for certain benefits. About Jerry.ai Jerry.ai is America’s first and only super app to radically simplify car ownership. We are redefining how people manage owning a car, one of their most expensive and time-consuming assets. Backed by artificial intelligence and machine learning, Jerry.ai simplifies and automates owning and maintaining a car while providing personalized services for all car owners' needs. We spend every day innovating and improving our AI-powered app to provide the best possible experience for our customers. From car insurance and financing to maintenance and safety, Jerry.ai does it all. We are the #1 rated and most downloaded app in our category with a 4.7 star rating in the App Store. We have more than 5 million customers — and we’re just getting started. Jerry.ai was founded in 2017 by serial entrepreneurs and has raised more than $240 million in financing. Join our team and work with passionate, curious and egoless people who love solving real-world problems. Help us build a revolutionary product that’s disrupting a massive market.", "summaryDescription" : "Associate, BizOps & Analytics at Jerry. ai. Skills: BizOps, Analytics, Data insights. Define business questions. Define analytical problems", "createdAt" : "2026-06-16T00:26:56.317", "lastUpdated" : "2026-06-16T10:35:12.134", "ingestTimestamp" : "2026-06-16T00:26:56.317", "mongoId" : "6a305098f292fd229cef28f1", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 85000, "salaryAnnualMax" : 130000, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ "Data interpretation", "Data structuring", "Data pulling", "BizOps", "Analytics", "Data insights", "First principles thinking", "Data analysis", "Problem solving", "Car ownership", "Home ownership", "Insurance", "Driving insights", "Diagnostics", "Repair marketplace", "Physical assets", "SQL", "Clickhouse", "Metabase", "Python", "Jupyter Hub", "GitHub" ], "skillCount" : 22, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Junior", "dataQualityScore" : 0.7777778, "_score" : 915.01636, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "694ae6ce70f0b99d589b27ca", "title" : "Commercial Risk Analytics Manager", "company" : "Hyundai Capital America", "salary" : { "min" : 135000.0, "max" : 195000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Manager in Financial Services in Irvine, United States, adjusted for company size and industry." }, "location" : "United States-California-Irvine", "locations" : [ "United States-California-Irvine", "
Headquarters 1 (HCA_HQ1)
3161 Michelson Dr. Ste 1900
Irvine, 92612

" ], "timestamp" : "2026-06-16T01:39:10.590", "fingerprint" : "10c905e78cca8653375e52ad1ec3175cfa27819915e0ddf7e9f52854cbedbd04", "source" : "taleo", "language" : "en", "applyUrl" : "https://hyundaicapital.taleo.net/careersection/ex/jobdetail.ftl?job=108543", "externalId" : "108543", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Irvine", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "33.6856969,-117.8259810" } ], "locationText" : "Irvine, California, United States", "experienceLevel" : "Manager", "remoteFriendly" : false, "rawDescription" : "Who We Are Through our service brands Hyundai Motor Finance, Genesis Finance, and Kia Finance, Hyundai Capital America offers a wide range of financial products tailored to meet the needs of Hyundai, Genesis, and Kia customers and dealerships. We provide vehicle financing, leasing, subscription, and insurance solutions to over 2 million consumers and businesses. Embodying our commitment to grow, innovate, and diversify, we strive to reimagine the customer and dealer experience and launch innovative new products that broaden our market reach. We believe that success comes from within and are proud to support our team members through skill development and career advancement. Hyundai Capital America is an Equal Opportunity Employer committed to creating a diverse and inclusive culture for our workforce. We are a values-driven company dedicated to supporting both internal and external communities through volunteering, philanthropy, and the empowerment of our Employee Resource Groups. Together, we strive to be the leader in financing freedom of movement. We Take Care of Our People Along with competitive pay, as an employee of HCA, you are eligible for the following benefits: · Medical, Dental and Vision plans that include no-cost and low-cost plan options · Immediate 401(k) matching and vesting · Vehicle purchase and lease discounts plus monthly vehicle allowances · Paid Volunteer Time Off with company donation to a charity of your choice · Tuition reimbursement What to Expect The Commercial Risk Analytics Manager provides risk analytics and reporting related to the Dealer Finance, Commercial Vehicle Finance and Mobility portfolios. Responsibilities include data gathering, data analytics, reporting, model development/maintenance in support of new products, loss prevention, modeling, forecasting, origination and portfolio management. This role will provide accurate and current information in support of department and business’ policies, administration, regulatory (SOX), portfolio management and tracking, and key risk indicators. In addition, this role will investigate, collect, and analyze auto industry and economic information and data impacting credit risk, including but not limited to, information regarding economic trends forecasts, commercial real estate markets, emerging technology, competitor vehicles and sales, commercial vehicle financing and mobility areas. What You Will Do 1. Data Collection and Analysis · Gather, maintain, report, reconcile and analyze data with the most up-to-date, accurate and functionally useful information in support of department and business’ policies, administration and regulatory requirements · Build reports, dashboards and monitoring tools and early warning systems to enhance credit decision-making and information reporting to upper management and Risk Control Committee · Develop and enhance early warning, inventory analysis and risk management reports that can be leveraged by the Commercial and Sales teams to effectively manage risk in the Commercial & Mobility portfolios · Develop and maintain portfolio risk scorecards and underwriting risk models for Dealer, Commercial Vehicle and Mobility lending products and financial reporting · Develop Risk subject matter expertise in support of New Market Introductions and New Product Introductions by completing market/product research, Collaborate with Mobility team to assess and build out new markets and new products · Prepare loss estimates to support new Mobility products, including the development of probability of default and loss given default analyses · Develop and maintain monthly pre-approval lists in support of Subscription and other Commercial and new Mobility products · Support Dealer, Commercial Vehicle Finance and Mobility portfolio by developing and monitoring the scorecard performance and other key indicators. Analyze and recommend actions if indicators deviate from expected performance · Investigate and analyze auto industry, dealer and commercial vehicle financial statements, economic information and data impacting credit risk, including but not limited to economic trends forecasts, commercial real estate markets, Industry segment specific risks competitor vehicles and products and commercial vehicle financing areas · Ensure the accuracy of key credit assumptions that are inputs into the Pricing, Loss forecast, early warning, risk grading models, and develop tracking and analysis that enables periodic updates made in a systemic process to meet the needs of the business · Coordinate with the Commercial and Mobility teams to facilitate the integration of new systems, including the development of new and replacement reporting required to meet business needs. 2. Reporting · Produce reports on Allowance for Loan and Lease Losses (ALLL), IFRS9, CECL for Dealer, Commercial Vehicle Finance and Mobility portfolios · Support monthly, quarterly, ad hoc and annual OP requests from FP&A and Risk. · Develop appropriate forecasting tools and provide timely forecast projections for review and approval by Director Commercial Risk, Enterprise Risk Director and CRO. · Develop and provide reports to support ad-hoc strategic projects and deliverables · Produce periodic and ad-hoc reporting and respond to Corporate and field requests 3. Compliance and Communication · Perform verification of the CECL and IFRS9 and disclosure reports accuracy including input verifications, outcome reasonableness, and variance explanations in compliance with regulatory requirements (SOX). · Present the results to Commercial management for monthly sign-off and answer all the questions for smooth approval. · Conduct monthly meetings with Accounting, Finance, Commercial Credit, Mobility and Risk to share the results and provide clarifications. · Provide support and business rationale for external auditors with questions. · Create quarterly Memo for Commercial and Mobility portfolios including obtaining consensus from accounting and sign off from CRO and CFO 4. Project Management · Maintain project schedules, task details and coordinate efforts and deliverables with associates in department projects. · Maintain relevant support documentation for regulatory requirements. What You Will Bring · Minimum 5-7 years progressive experience in quantitative analysis within automotive captive, banking, commercial lending, equipment finance or related field. · Prior credit scorecard and statistical model development experience preferred. · Bachelor’s Degree in Business Administration, Mathematics, Economics, Operations Research, Statistics, Computer Science or related quantitative experience. · Demonstrate strong business acumen, technical skills and an ability to partner with stakeholders. · Strong PC skills; Python, SAS, SQL, Microsoft Access, Excel, Word, Power Point, VBA, Tableau. · Ability to work on multiple projects and attention to details and timeline. · Ability to explain complex data analysis. · Ability to develop statistical models (PD, LGD, Scorecards, Reserves, etc.). Work Environment Employees in this class are subject to extended periods of sitting, standing and walking, and using a computer. Work is performed in an office environment. The posted salary range for this job takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; geographic location, and other business and organizational needs. Successful candidates may be hired anywhere in the salary range based on these factors. It is uncommon to hire candidates at or near the top of the range. California Privacy Notice This notice only applies to our applicants who reside in the State of California. The latest version of our Privacy Policy can be found here . This Privacy Policy provides you with notice, at or before the point of collection, about the categories of personal information to be collected from you, the purposes for which your personal information is collected or used, and whether that information is sold or shared, so that you can exercise meaningful control over our use of your personal information. We are providing this notice to comply with the California Consumer Privacy Act of 2018, as amended as amended by the California Privacy Rights Act of 2020 (“CCPA”). If you have any questions about CCPA regarding California residents or HCA team members, please contact the Privacy Team at Privacy2@hcs.com . United States-California-Irvine", "summaryDescription" : "Commercial Risk Analytics Manager at Hyundai Capital America", "createdAt" : "2026-06-14T20:45:10.007", "lastUpdated" : "2026-06-16T01:39:10.590", "ingestTimestamp" : "2026-06-14T20:45:10.007", "mongoId" : "694ae6ce70f0b99d589b27ca", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 135000, "salaryAnnualMax" : 195000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "finance", "jobSubcategory" : "accounting", "seniorityLevel" : "Manager", "dataQualityScore" : 0.6666667, "_score" : 909.77826, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Financial Services", "llmIndustryConfidence" : 0.95 }, { "id" : "694ae6e870f0b99d589b3a89", "title" : "Director of Reporting and Analytics", "company" : "SMU", "salary" : { "min" : 155000.0, "max" : 225000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline data for Director of Reporting and Analytics in Dallas, adjusted for the education industry and director-level seniority." }, "location" : "TX-Dallas", "locations" : [ "TX-Dallas" ], "certifications" : [ "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified" ], "timestamp" : "2026-06-15T21:42:44.801", "fingerprint" : "209768f93e678f82182d88ec91775d47dd48120fefeed7ad940e7f97a11e7c00", "source" : "taleo", "language" : "en", "applyUrl" : "https://smu.taleo.net/careersection/ex/jobdetail.ftl?job=74552", "externalId" : "74552", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Dallas", "state" : "Texas", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "32.7762719,-96.7968559" } ], "locationText" : "Dallas, Texas, United States", "experienceLevel" : "Director", "technicalSkills" : "SQL, Python, R, Tableau, Power BI, Snowflake, BigQuery, Redshift, Databricks, Dbt, Fivetran, Airflow, Delta Lake, Scikit-learn, TensorFlow, PyTorch, XGBoost, LightGBM, Hugging Face, MLflow, AWS, GCP, Azure", "professionalSkills" : [ "Data modeling", "Statistical analysis", "Machine learning", "Business intelligence", "Data engineering", "Quantitative analysis" ], "hardSkillsList" : [ "Data analysis", "Data manipulation", "Data visualization", "Statistical modeling", "Machine learning modeling", "ETL processes", "Data warehousing", "Database management", "Cloud computing" ], "hardSkills" : [ { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Data manipulation", "level" : "intermediate" }, { "name" : "Data visualization", "level" : "intermediate" }, { "name" : "Statistical modeling", "level" : "intermediate" }, { "name" : "Machine learning modeling", "level" : "intermediate" }, { "name" : "ETL processes", "level" : "intermediate" }, { "name" : "Data warehousing", "level" : "intermediate" }, { "name" : "Database management", "level" : "intermediate" }, { "name" : "Cloud computing", "level" : "intermediate" } ], "majorSkills" : "Data Analytics, Business Intelligence, Machine Learning, Data Engineering", "majorSkillsList" : [ "Data Analytics", "Business Intelligence", "Machine Learning", "Data Engineering" ], "coreResponsibilities" : "Develop and maintain reporting dashboards, Analyze complex datasets, Build predictive models, Collaborate with stakeholders, Ensure data quality, Optimize data pipelines, Present findings to leadership, Stay current with industry trends", "teamCollaboration" : "Cross-functional teams; Business stakeholders; Technical teams", "domainKnowledge" : "Cloud data stacks; ML frameworks; BI platforms; Statistical methods", "domainList" : [ "cloud-data-stacks", "ml-frameworks", "bi-platforms", "statistical-methods" ], "domainSpecificKnowledge" : [ "Cloud data stacks", "ML frameworks", "BI platforms", "Statistical methods" ], "toolProficiency" : [ "Tableau", "Power BI", "Snowflake", "BigQuery", "Redshift", "Databricks", "Dbt", "Airflow", "Scikit-learn", "TensorFlow", "PyTorch", "AWS SageMaker", "GCP Vertex AI", "Azure ML Studio" ], "communicationSkills" : "Stakeholder communication; Presentation skills", "documentationSkills" : "Technical documentation", "continuousLearning" : "Professional development", "problemSolvingSkills" : "Analytical skills", "qualificationsBasic" : "Bachelor's degree in a quantitative field, 5+ years of experience in data analytics or related field, Proficiency in SQL, Experience with data visualization tools", "qualificationsPreferred" : "Master's degree or PhD in a quantitative field, Experience with cloud data platforms (e.g., Snowflake, BigQuery, Redshift), Experience with ML frameworks (e.g., scikit-learn, TensorFlow, PyTorch), Experience with data engineering tools (e.g., dbt, Airflow), Relevant certifications (e.g., GCP Professional Data Engineer, AWS Data Analytics)", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Salary Range: Salary commensurate with experience and qualifications About SMU SMU’s more than 12,000 diverse, high-achieving students come from all 50 states and over 80 countries to take advantage of the University’s small classes, meaningful research opportunities, leadership development, community service, international study and innovative programs. SMU serves approximately 7,000 undergraduates and 5,000 graduate students through eight degree-granting schools: Dedman College of Humanities and Sciences , Cox School of Business , Lyle School of Engineering , Meadows School of the Arts , Simmons School of Education and Human Development , Dedman School of Law , Perkins School of Theology and Moody School of Graduate and Advanced Studies . SMU is data driven, and its powerful supercomputing ecosystem – paired with entrepreneurial drive – creates an unrivaled environment for the University to deliver research excellence. Now in its second century of achievement, SMU is recognized for the ways it supports students, faculty and alumni as they become ethical, enterprising leaders in their professions and communities. SMU’s relationship with Dallas – the dynamic center of one of the nation’s fastest-growing regions – offers unique learning, research, social and career opportunities that provide a launch pad for global impact. SMU is nonsectarian in its teaching and committed to academic freedom and open inquiry. About the Department: Development and External Affairs (DEA) supports SMU by securing funding for University priorities; by promoting meaningful involvement in the life and work of the University; by heightening international, national, state and local awareness of SMU; and by supporting the enrollment of a diverse and able student body. DEA comprises the offices of Office of the Vice President, Annual Giving and Alumni Relations, Development Services, Program Services and Donor Relations, Marketing and Communications, Principal and Major Gifts, and School and Project Development. SMU continues to leverage the benefits from the largest fund-raising campaign in its history to achieve dramatic increases in academic quality and impact. About the Position: This role is an on-campus, in-person position. The Director of Reporting and Analytics leads the strategic vision and execution of the reporting and analytics functions in concert with the Vice President of Development Services, directly supporting the objectives of the Development and External Affairs (DEA) division. The Director manages a team of professionals to develop, convert, and maintain the essential reporting suite while ensuring data integrity, consistency, and optimal architecture. By serving as a thought partner for stakeholders, the Director is critical in translating business goals into actionable insights and robust data services, ultimately maximizing the return on investment in data tools and empowering data-driven decision-making across DEA and SMU. Essential Functions: Leads, mentors, and develops the team of three analytics professionals. This involves setting clear performance expectations, prioritizing and assigning workloads, and fostering a collaborative environment. This leader's guidance is key to guiding the team through the CRM conversion and empowering them to become experts in the new toolset. Owns the technical vision and strategic roadmap for the reporting team. This includes evaluating and guiding the use of the entire reporting suite (Salesforce, CRMA, Tableau, and Apsona) to ensure SMU is maximizing its investment. Creates and enforces standards, processes, and structured governance for query tools like Workbench to ensure consistency and accuracy. Serves as the primary analytics partner and consultant for key stakeholders for Development and External Affairs (DEA) and campus partners. Proactively meets with partners to understand their business goals, translating those goals into technical specifications, and managing the intake process for all new data, report and dashboard requests. Leads the creation of SMU's essential reports during and following the Salesforce conversion. Manages the entire development lifecycle from scoping and design to build, testing, and deployment ensuring that new data requests and reports are accurate, efficient, and provide enhanced insights. Ensures colleagues understand business decisions and logic behind reporting models. Oversees the team's operational output, ensuring the timely and accurate fulfillment of ad-hoc data requests, such as mailing lists and metrics. A critical component of this function is designing, implementing, and enforcing a robust quality assurance (QA) process for all data outputs to guarantee data integrity and build stakeholder trust. Partners closely with the Advancement Applications and Technology Services team to inform and advise on the advancement data architecture, especially within Salesforce. This includes providing an analytics perspective on data flows, object relationships, and the impact of integrations with other third-party solutions to ensure data is structured for optimal reporting and analysis. Other duties as assigned. Occasional travel for professional conferences, speaking engagements, and/or site visits is required. Education and Experience: Bachelor’s degree is required. A Master's degree is preferred. Process improvement and project management certifications are preferred. A minimum of seven years of work experience is required. Experience managing multiple direct reports in a fast-paced, deadline oriented environment is also required. Experience in nonprofit development is desired. Higher education development experience is strongly preferred. Knowledge, Skills and Abilities: Candidate must demonstrate strong interpersonal and verbal communication skills, with the ability to communicate broadly across the University and develop and maintain effective relationships with a wide range of constituencies. Must also demonstrate strong written communication skills. Candidate must possess strong problem-solving skills with the ability to identify and analyze problems, as well as devise solutions. Must also have strong organizational, planning, and time management skills. Candidate must have strong public speaking and presentation skills necessary to drive adoption of data-driven practices and deliver actionable insights from analytics projects. Candidate must demonstrate knowledge of data governance standards and relevant regulation, particularly in regard to personally identifiable information (PII). Candidate must have substantial experience in the management of large scale non-profit CRM software, data analysis tools, and automated business intelligence tools. Physical and Environmental Demands: Sit for long periods of time Deadline to Apply: The position is open until filled. Priority consideration may be given to submissions received by January 9, 2026 EEO Statement SMU is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, age, disability, genetic information, veteran status, sexual orientation, or gender identity and expression. Benefits: SMU offers staff a broad, competitive array of health and related benefit s. In addition to traditional benefits such as health, dental, and vision plans, SMU offers a wide range of wellness programs to help attract, support, and retain our employees whose work continues to make SMU an outstanding education and research institution. SMU is committed to providing an array of retirement programs that benefit and protect you and your family throughout your working years at SMU and, if you meet SMU's retirement eligibility criteria, during your retirement years after you leave SMU. The value of learning at SMU isn't just about preparing our students for the future. Employees have access to a wide variety of professional and personal development opportunities , including tuition benefits . USA-TX-Dallas", "summaryDescription" : "Director of Reporting and Analytics at SMU. Skills: Data Analytics, Business Intelligence, Machine Learning, Data Engineering. Develop and maintain reporting dashboards. Analyze complex datasets", "createdAt" : "2026-06-14T19:52:47.793", "lastUpdated" : "2026-06-15T21:42:44.801", "ingestTimestamp" : "2026-06-14T19:52:47.793", "mongoId" : "694ae6e870f0b99d589b3a89", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 155000, "salaryAnnualMax" : 225000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Data analysis", "Data manipulation", "Data visualization", "Statistical modeling", "Machine learning modeling", "ETL processes", "Data warehousing", "Database management", "Cloud computing", "Data Analytics", "Business Intelligence", "Machine Learning", "Data Engineering", "Data modeling", "Statistical analysis", "Machine learning", "Business intelligence", "Data engineering", "Quantitative analysis", "Cloud data stacks", "ML frameworks", "BI platforms", "Statistical methods", "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified", "Tableau", "Power BI", "Snowflake", "BigQuery", "Redshift", "Databricks", "Dbt", "Airflow", "Scikit-learn", "TensorFlow", "PyTorch", "AWS SageMaker", "GCP Vertex AI", "Azure ML Studio" ], "skillCount" : 41, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Director", "dataQualityScore" : 0.7777778, "_score" : 909.0376, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Education", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c967c74d8ee00a098fb81", "title" : "People Technology & Analytics Specialist", "company" : "Taskrabbit", "salary" : { "min" : 95000.0, "max" : 135000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level People Technology & Analytics Specialist in San Francisco, United States, with 3+ years of experience, adjusted for the technology industry and company size." }, "location" : "San Francisco, California, United States", "locations" : [ "San Francisco", "California", "United States" ], "timestamp" : "2026-06-16T01:24:05.572", "fingerprint" : "d61846979adefd4f6edc6ee01ef730b11a1497e0c914352007e17930985f0882", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/taskrabbit/jobs/7958608", "externalId" : "7958608", "industryFunction" : { }, "structuredLocations" : [ { "city" : "San Francisco", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "37.7879363,-122.4075201" } ], "locationText" : "San Francisco, California, United States", "experienceMinYears" : 3, "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "About Taskrabbit: Taskrabbit is a marketplace platform that conveniently connects people with Taskers to handle everyday home to-do’s, such as furniture assembly, handyman work, moving help, and much more. At Taskrabbit, we want to transform lives one task at a time. As a company we celebrate innovation, inclusion and hard work. Our culture is collaborative, pragmatic, and fast-paced. We’re looking for talented, entrepreneurially minded and data-driven people who also have a passion for helping people do what they love. Together with IKEA, we’re creating more opportunities for people to earn a consistent, meaningful income on their own terms by building lasting relationships with clients in communities around the world. Taskrabbit is a hybrid company with employees distributed across the US and EU and a Built In — Best Places to Work (2022, 2023, 2024) continually ranked across multiple national and regional categories. Join us at Taskrabbit, where your work will be meaningful, your ideas valued, and your potential unleashed! This role operates on a hybrid schedule requiring two days of in-office collaboration per week in our San Francisco office. About the Role We are seeking a People Technology & Analytics Specialist to serve as the architect and engine behind our data-driven decision-making. Reporting to the Director of Global People Operations, you will own the evolution of our HR tech stack, moving us from manual processes to sophisticated, AI-driven automation that unlocks capacity across the entire People team. This is a high-impact, individual contributor role (P3) designed for a systems-thinker who wants to enable a modern, scalable and efficient People technology ecosystem. The ideal candidate has a deep curiosity for HR technology and at least 3 years of experience in HRIS or People Analytics. You should be someone who isn’t just comfortable with data, but someone who finds joy in \"breaking\" a workflow to build a better, more automated version of it. You are an early adopter of AI tools and have the technical aptitude to translate complex business needs into elegant system configurations. What You’ll Work On: Systems Architecture & Optimization: Own and optimize the entire HR tech stack (Rippling, Greenhouse, Lattice, OpenComp, Tilt), ensuring seamless connectivity and integrations. AI Implementation: Lead the Rippling AI adoption strategy and pilot new HR AI tools to keep Taskrabbit at the forefront of modern People operations. Workflow Automation: Build and maintain advanced Rippling workflows for onboarding, offboarding, and lifecycle triggers to recover team capacity. People Analytics: Build and maintain automated dashboards for headcount, attrition, and manager effectiveness to provide the SLT with real-time insights. Data Governance: Act as the primary gatekeeper for HRIS data quality, conducting regular audits Strategic Reporting: Manage compensation cycle data pulls, engagement trend analysis, and ad-hoc requests to support strategic business decisions. Vendor Management: Lead RFPs and contract negotiations for new tools, maintaining a clear People team tool roadmap. Your Areas Of Expertise: Technical Stack: Proven experience managing Rippling (highly preferred), Greenhouse, and Lattice. Data Visualization: Expert-level skills in building technical dashboards and customizing complex reports. AI Literacy: Practical experience or high proficiency in implementing AI-driven features within SaaS platforms. Systems Integration: Strong understanding of how HRIS, ATS, and Performance tools sync and transfer data. Analytical Rigor: Ability to perform complex data merges and audit large datasets with high accuracy. Compensation & Benefits: At Taskrabbit, our approach to compensation is designed to be competitive, transparent, and equitable. Total compensation consists of base pay + bonus + benefits + perks. The base pay range for this position is $105,00-$160,000. This range is representative of base pay only, and does not include any other total cash compensation amounts, such as company bonus or benefits. Final offer amounts may vary from the amounts listed above and will be determined by factors including, but not limited to, relevant experience, qualifications, geography, and level. You’ll love working here because: Taskrabbit is a Hybrid Company. We value flexibility and choice but also stay committed to regular in-person connection. The People. You will be surrounded by some of the most talented, supportive, smart, and kind leaders and teams -- people you can be proud to work with! The Diverse Culture. We believe that we make better decisions when our workforce reflects the diversity of the communities in which we operate. Women make up half of our leadership team and our diversity representation is above that of the tech industry average. The Perks. Taskrabbit offers our employees with employer-paid health insurance and a 401k match with immediate vesting for our US based employees. We offer all of our global employees generous and flexible time off with 2 company-wide closure weeks, Taskrabbit product stipends, wellness + productivity + education stipends, IKEA discounts, reproductive health support, and more. Benefits vary by country of employment. Taskrabbit’s commitment to Diversity and Inclusion: An Active Commitment to Equity within our Company and Platform. We are an inclusive community where all who share our mission and values belong. Our diverse team represents the communities we serve, breaking down systemic barriers, and transforming lives- one action at a time. Taskrabbit is an equal opportunity employer and values diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, ancestry, citizenship, sex, gender, gender identity, sexual orientation, age, marital status, military/veteran status, or disability status. Taskrabbit is committed to working with and providing reasonable accommodation to applicants with physical and mental disabilities. Taskrabbit will consider for employment all qualified applicants with criminal histories in a manner consistent with applicable law. Taskrabbit will never use text or chat applications to conduct interviews. We have a thoughtful and interactive interview process that includes an initial recruiter phone screen and several video-based interviews with our hiring teams. Communications will always be conducted by taskrabbit.com domain names.", "summaryDescription" : "People Technology & Analytics Specialist at Taskrabbit", "postedDate" : "2026-06-14T18:43:37.821", "createdAt" : "2026-06-14T18:43:37.821", "lastUpdated" : "2026-06-16T01:24:05.572", "ingestTimestamp" : "2026-06-14T18:43:37.821", "mongoId" : "6a2c967c74d8ee00a098fb81", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 95000, "salaryAnnualMax" : 135000, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "operations", "jobSubcategory" : "hr", "seniorityLevel" : "Mid", "dataQualityScore" : 0.6666667, "_score" : 903.1043, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2da0b774d8ee00a0c5e94d", "title" : "Director, Agentic + GenAI, Data & Analytics, Advisory", "company" : "Pwc", "location" : "India", "locations" : [ "India" ], "certifications" : [ ], "timestamp" : "2026-06-15T06:56:35.892", "fingerprint" : "e3630741dfc66a4ec5fa78e15a5384b9b125db320e1b43a2cf539b3edc1b24b2", "source" : "workday", "applyUrl" : "https://pwc.wd3.myworkdayjobs.com/Global_Experienced_Careers/job/Mumbai-Goregaon/IN--Director--Agentic---GenAI--Data---Analytics--Advisory--Mumbai_736299WD-1", "externalId" : "736299WD", "industryFunction" : { }, "locationPoint" : "20.5937,78.9629", "structuredLocations" : [ { "country" : "India", "continent" : "as", "workMode" : "onsite" } ], "locationText" : "India", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor", "experienceMinYears" : 14, "experienceMaxYears" : 17, "experienceLevel" : "Director", "technicalSkills" : "Python, LLM, multimodal models, feature engineering, embedding optimization, dimensionality reduction, RAG systems, vector databases, semantic search, Knowledge graph, quantization, knowledge distillation", "professionalSkills" : [ "Experience in financial services domain will be a plus. Experience in solving use cases in Asset management, Wealth management or investment banking using AI/ML. Experience in industries such as finance, consulting." ], "hardSkillsList" : [ "Agentic AI", "GenAI", "Python", "LLM frameworks", "prompt engineering", "ML development lifecycle", "fine-tuning", "evaluation", "feature engineering", "embedding optimization", "dimensionality reduction", "A/B testing", "experimental design", "statistical hypothesis testing", "RAG systems", "vector databases", "semantic search implementation", "Knowledge graph", "LLM optimization techniques", "quantization", "knowledge distillation", "MLOps practices", "AutoGPT", "LangChain", "ReAct", "DSPy" ], "softSkillsList" : [ "Accepting Feedback, Active Listening, Coaching and Feedback, Communication, Creativity" ], "hardSkills" : [ { "name" : "Agentic AI", "level" : "intermediate" }, { "name" : "GenAI", "level" : "intermediate" }, { "name" : "Python", "level" : "intermediate" }, { "name" : "LLM frameworks", "level" : "intermediate" }, { "name" : "prompt engineering", "level" : "intermediate" }, { "name" : "ML development lifecycle", "level" : "intermediate" }, { "name" : "fine-tuning", "level" : "intermediate" }, { "name" : "evaluation", "level" : "intermediate" }, { "name" : "feature engineering", "level" : "intermediate" }, { "name" : "embedding optimization", "level" : "intermediate" }, { "name" : "dimensionality reduction", "level" : "intermediate" }, { "name" : "A/B testing", "level" : "intermediate" }, { "name" : "experimental design", "level" : "intermediate" }, { "name" : "statistical hypothesis testing", "level" : "intermediate" }, { "name" : "RAG systems", "level" : "intermediate" }, { "name" : "vector databases", "level" : "intermediate" }, { "name" : "semantic search implementation", "level" : "intermediate" }, { "name" : "Knowledge graph", "level" : "intermediate" }, { "name" : "LLM optimization techniques", "level" : "intermediate" }, { "name" : "quantization", "level" : "intermediate" }, { "name" : "knowledge distillation", "level" : "intermediate" }, { "name" : "MLOps practices", "level" : "intermediate" }, { "name" : "AutoGPT", "level" : "intermediate" }, { "name" : "LangChain", "level" : "intermediate" }, { "name" : "ReAct", "level" : "intermediate" }, { "name" : "DSPy", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Accepting Feedback, Active Listening, Coaching and Feedback, Communication, Creativity" } ], "majorSkills" : "Agentic AI, GenAI, LLM, Python, Data & Analytics", "majorSkillsList" : [ "Agentic AI, GenAI, LLM, Python, Data & Analytics" ], "coreResponsibilities" : "Define and execute the long-term roadmap for Agentic AI and GenAI initiatives. Identify and prioritize opportunities where autonomous agents and generative AI can drive business value. Collaborate with executive leadership to align AI strategy with overall business goals. Lead architecture and hands-on development of intelligent agent frameworks. Oversee the application of LLMs, multimodal models, and fine-tuning strategies for domain-specific use cases. Evaluate and integrate emerging GenAI/Agentic technologies. Build, mentor, and scale a world-class team of AI researchers, ML engineers, and product managers. Foster a interdisciplinary culture of innovation and experimentation. Collaborate cross-functionally with data engineering, product, legal, and design teams. Oversee data pipelines, model training, inference infrastructure, and model governance. Establish benchmarks and evaluation protocols for agent behavior, safety, and performance. Ensure ethical and responsible AI development practices are followed.", "teamCollaboration" : "Foster a interdisciplinary culture of innovation and experimentation. Collaborate cross-functionally with data engineering, product, legal, and design teams.", "toolProficiency" : [ "AutoGPT, LangChain, ReAct, DSPy, Hugging Face, Transformers, Alteryx (Automation Platform)" ], "communicationSkills" : "Communication", "continuousLearning" : "Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other.", "innovationCreativity" : "Foster a interdisciplinary culture of innovation and experimentation.", "problemSolvingSkills" : "Algorithm Development; Complex Data Analysis; Data Analysis; Data Modeling; Analytic Research", "specialRequirements" : "We believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firm’s growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations.", "outcomesObjectives" : "Help organizations uncover enterprise insights and drive business results using smarter data analytics. Drive innovation, growth, and change within their organizations in order to keep up with the changing nature of customers and technology. Make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge.", "qualificationsBasic" : "Advanced proficiency in Python. Extensive experience with LLM frameworks (Hugging Face, Transformers, LangChain) and prompt engineering techniques. Deep understanding of ML and LLM development lifecycle, including fine-tuning and evaluation. Expertise in feature engineering, embedding optimization, and dimensionality reduction. Advanced knowledge of A/B testing, experimental design, and statistical hypothesis testing. Experience with RAG systems, vector databases, semantic search implementation and Knowledge graph. Proficiency in LLM optimization techniques including quantization and knowledge distillation. Understanding of MLOps practices for model deployment and monitoring.", "qualificationsPreferred" : "Experience in financial services domain will be a plus. Experience in solving use cases in Asset management, Wealth management or investment banking using AI/ML. Track record of publishing or contributing to open-source AI frameworks. Understanding of regulatory, ethical, and societal implications of autonomous AI systems.", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "**Line of Service** Advisory **Industry/Sector** Not Applicable **Specialism** Data, Analytics & AI **Management Level** Director **Job Description & Summary** At PwC, our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals. In data analysis at PwC, you will focus on utilising advanced analytical techniques to extract insights from large datasets and drive data-driven decision-making. You will leverage skills in data manipulation, visualisation, and statistical modelling to support clients in solving complex business problems. _* Why PWC_ At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more _[about us](https://www.pwc.in/about-us.html)_ . At PwC, we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firm’s growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations. \" **Job Description & Summary: **A career within Data and Analytics services will provide you with the opportunity to help organizations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organizational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organizations in order to keep up with the changing nature of customers and technology. We make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge. **Responsibilities:** **Strategic Leadership** * Define and execute the long-term roadmap for Agentic AI and GenAI initiatives. * Identify and prioritize opportunities where autonomous agents and generative AI can drive business value. * Collaborate with executive leadership to align AI strategy with overall business goals. **Must have Technology & Research Oversight** * Lead architecture and hands-on development of intelligent agent frameworks (e.g., goal-driven, tool-using agents). * Oversee the application of LLMs, multimodal models, and fine-tuning strategies for domain-specific use cases. * Evaluate and integrate emerging GenAI/Agentic technologies (e.g., AutoGPT, LangChain, ReAct, DSPy, etc.). • Advanced proficiency in Python. • Extensive experience with LLM frameworks (Hugging Face, Transformers, LangChain) and prompt engineering techniques. Must have: • Deep understanding of ML and LLM development lifecycle, including fine-tuning and evaluation • Expertise in feature engineering, embedding optimization, and dimensionality reduction • Advanced knowledge of A/B testing, experimental design, and statistical hypothesis testing • Experience with RAG systems, vector databases, semantic search implementation and Knowledge graph. • Proficiency in LLM optimization techniques including quantization and knowledge distillation • Understanding of MLOps practices for model deployment and monitoring **T eam Management & Collaboration** * Build, mentor, and scale a world-class team of AI researchers, ML engineers, and product managers. * Foster a strong interdisciplinary culture of innovation and experimentation. * Collaborate cross-functionally with data engineering, product, legal, and design teams. **Operational Excellence** * Oversee data pipelines, model training, inference infrastructure, and model governance. * Establish benchmarks and evaluation protocols for agent behavior, safety, and performance. * Ensure ethical and responsible AI development practices are followed. **Good to have Domain/functional knowledge ** * Experience in financial services domain will be a plus. * Experience in solving use cases in Asset management, Wealth management or investment banking using AI/ML. **Mandatory skill sets:** GenAI/Agentic technologies (e.g., AutoGPT, LangChain, ReAct, DSPy, etc.). **Preferred skill sets:** * Lang Experience in industries such as finance, consulting * Track record of publishing or contributing to open-source AI frameworks. * Understanding of regulatory, ethical, and societal implications of autonomous AI system **Years of experience required:** 14-17 **Education qualification:** B.Tech / M.Tech / MBA / MCA **Education** _(if blank, degree and/or field of study not specified)_ Degrees/Field of Study required: MBA (Master of Business Administration), Bachelor of Engineering, Master of Engineering Degrees/Field of Study preferred: **Certifications** _(if blank, certifications not specified)_ **Required Skills** Agilent Technologies GeneSpring GX **Optional Skills** Accepting Feedback, Accepting Feedback, Active Listening, Algorithm Development, Alteryx (Automation Platform), Analytical Thinking, Analytic Research, Big Data, Business Data Analytics, Coaching and Feedback, Communication, Complex Data Analysis, Conducting Research, Creativity, Customer Analysis, Customer Needs Analysis, Dashboard Creation, Data Analysis, Data Analysis Software, Data Collection, Data-Driven Insights, Data Integration, Data Integrity, Data Mining, Data Modeling {+ 50 more} **Desired Languages** _(If blank, desired languages not specified)_ **Travel Requirements** **Available for Work Visa Sponsorship?** **Government Clearance Required?** **Job Posting End Date** June 26, 2026", "summaryDescription" : "Director, Agentic + GenAI, Data & Analytics, Advisory at Pwc. Skills: Agentic AI, GenAI, LLM, Python, Data & Analytics. Define and execute the long-term roadmap for Agentic AI and GenAI initiatives. Identify and prioritize opportunities where autonomous agents and generative AI can drive business value. Collaborate with executive leadership to align AI strategy with overall business goals. Lead architecture and hands-on development of intelligent agent frameworks. 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Experience in industries such as finance, consulting.", "AutoGPT, LangChain, ReAct, DSPy, Hugging Face, Transformers, Alteryx (Automation Platform)" ], "skillCount" : 30, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "executive", "dataQualityScore" : 0.8888889, "_score" : 902.25366, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false, "llmIndustryConfidence" : 0.95 }, { "id" : "6a2adaa074d8ee00a071c4af", "title" : "Senior Risk Analytics Consultant", "company" : "Wells Fargo", "industry" : "Financial Services", "salary" : { "min" : 2500000.0, "max" : 4500000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Risk Analytics Consultant in Bengaluru, India, adjusted for seniority and the banking industry." }, "location" : "Bengaluru, India", "locations" : [ "Bengaluru, India" ], "timestamp" : "2026-06-15T00:25:35.044", "fingerprint" : "c338eca7eda7b21bce31dc20e37bd5a0d73778abf3b3ad93a05930208077201e", "source" : "workday", "language" : "en", "applyUrl" : "https://wd1.myworkdaysite.com/recruiting/wf/WellsFargoJobs/job/Bengaluru-India/Senior-Risk-Analytics-Consultant_R-538056", "externalId" : "R-538056", "industryFunction" : { }, "locationPoint" : "12.97194,77.59369", "structuredLocations" : [ { "city" : "Bengaluru", "country" : "India", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "12.9767936,77.5900820" } ], "locationText" : "Bengaluru, India", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 4, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "SAS, SQL, Excel, VBA, Macros, R, Python, E-miner, Tableau, SAS VA, Oracle, Teradata", "professionalSkills" : [ "Risk Analytics", "Credit risk analytics", "Data aggregation", "Forecasting", "Reporting", "Model documentation", "Business modeling", "Risk reporting", "Modeling strategies", "Quantitative analysis", "Portfolio planning", "Loan loss provisioning", "Data quality", "Data integrity", "Big data analysis", "Asset quality reporting" ], "hardSkillsList" : [ "Statistical modeling", "Machine Learning techniques", "Segmentation Tools", "Decision Trees", "Clustering", "Regression", "Data analysis", "Quantitative tools" ], "softSkillsList" : [ "Leadership", "Mentoring" ], "hardSkills" : [ { "name" : "Statistical modeling", "level" : "intermediate" }, { "name" : "Machine Learning techniques", "level" : "intermediate" }, { "name" : "Segmentation Tools", "level" : "intermediate" }, { "name" : "Decision Trees", "level" : "intermediate" }, { "name" : "Clustering", "level" : "intermediate" }, { "name" : "Regression", "level" : "intermediate" }, { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Quantitative tools", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Mentoring" } ], "majorSkills" : "Risk Analytics, Credit risk, Data analysis, Modeling", "majorSkillsList" : [ "Risk Analytics", "Credit risk", "Data analysis", "Modeling" ], "coreResponsibilities" : "Lead or participate in initiatives, Deliver insight and decision strategies, Contribute to large-scale planning, Review and analyze data aggregation, Review and analyze forecasting models, Review and analyze reporting models, Review and analyze programming models, Be responsible for process production, Be responsible for data reconciliation, Be responsible for model documentation, Resolve data issues, Resolve production issues, Resolve business modeling issues, Lead team to meet deliverables, Collaborate and consult with peers, Collaborate and consult with managers, Collaborate and consult with compliance, Collaborate and consult with technology, Achieve analytic and reporting goals, Lead projects, Lead teams, Mentor less experienced staff, Partner with cross enterprise risk analysts, Develop common modeling strategies, Execute relatively large and complex projects, Drive company credit culture, Drive company credit appetite, Drive business performance, Assess risk, Predict risk, Assess performance, Predict performance, Establish effective policies, Establish effective processes, Establish effective tools, Manage risks, Use predictive sciences, Develop future ready solutions, Develop comprehensive monitoring frameworks, Develop dashboards, Provide statistically sound diagnostic evaluation, Enhance intelligence, Facilitate faster decision making, Report on asset quality, Report on portfolio trends, Report on credit policy exceptions, Develop quantitative tools, Develop qualitative tools, Develop methodologies for forecasting losses, Support portfolio planning, Support loan loss provisioning, Support new account acquisitions, Develop complex programming, Maintain complex programming, Enhance complex programming, Extract data, Manipulate databases, Perform complex data analysis, Support data quality, Support data integrity control, Evaluate new data sources, Evaluate new data attributes, Analyze big data, Monitor trends, Provide actionable insights, Produce monthly performance reports, Produce quarterly performance reports, Produce annual performance reports, Analyze trends in current population distributions, Provide research support for data lineage, Provide process support for data lineage, Provide access management research support", "teamCollaboration" : "Collaborate with peers; Collaborate with managers; Collaborate with compliance; Collaborate with technology; Partner with analysts; Develop partnerships; Collaborate with business areas; Collaborate with functional areas", "projectManagementSkills" : [ "Prioritize work", "Meet deadlines", "Achieve goals", "Work under pressure" ], "domainKnowledge" : "Risk reporting policies; Credit risk analytics; Statistical modeling; Machine Learning techniques; Auto Lending Credit Risk; Company credit culture; Asset quality; Portfolio trends; Credit policy; Loan loss provisioning; Data lineage; Analytic data warehouse", "domainList" : [ "risk-reporting-policies", "credit-risk-analytics", "statistical-modeling", "machine-learning-techniques", "auto-lending-credit-risk", "company-credit-culture", "asset-quality", "portfolio-trends", "credit-policy", "loan-loss-provisioning", "data-lineage", "analytic-data-warehouse" ], "domainSpecificKnowledge" : [ "Risk reporting policies", "Credit risk analytics", "Statistical modeling", "Machine Learning techniques", "Auto Lending Credit Risk", "Company credit culture", "Asset quality", "Portfolio trends", "Credit policy", "Loan loss provisioning", "Data lineage", "Analytic data warehouse" ], "toolProficiency" : [ "SAS", "SQL", "Excel", "VBA", "Macros", "R", "Python", "E-miner", "Tableau", "SAS VA", "Oracle", "Teradata", "Tableau", "SAS Visual Analytics" ], "communicationSkills" : "Senior review reporting", "documentationSkills" : "Model documentation", "problemSolvingSkills" : "Identify trends; Evaluate trends; Isolate root cause; Provide swift resolution; Provide thorough resolution; Analytical skills; Troubleshooting", "outcomesObjectives" : "Meet Risk Analytics deliverables; Achieve analytic and reporting goals; Enhance intelligence; Facilitate faster decision making", "qualificationsBasic" : "4+ years of Risk Analytics experience", "qualificationsPreferred" : "Bachelor's degree or higher in a quantitative field, 4+ years of progressive experience in credit and risk analytic roles, Hands on Experience in credit risk analytics, Good understanding of risk analytics skills, Proficiency in Advanced SAS, Proficiency in SAS macros, Proficiency in Tableau, Proficiency in BI/automation tools, project management skills", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "**About this role:** Wells Fargo is seeking a Senior Risk Analytics Consultant. **In this role, you will:** * Lead or participate in moderately complex initiatives, and delivering insight and decision strategies within analytics and reporting, and contribute to large-scale planning related to Risk Analytics * Review and analyze moderately complex data aggregation, forecasting, reporting, and programming models * Be responsible for process production, data reconciliation, and model documentation in alignment with policy governance * Resolve data, production, business modeling, and lead team to meet Risk Analytics deliverables while leveraging solid understanding of risk reporting policies, modeling strategies, procedures, regulatory requests, and compliance requirements * Collaborate and consult with peers, experienced managers, compliance, and technology to resolve modeling, forecasting, and production issues, and achieve analytic and reporting goals * Lead projects, teams, and mentor less experienced staff * Partner with cross enterprise risk analysts in development of common modeling strategies **Required Qualifications:** * 4+ years of Risk Analytics experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education **Desired Qualifications** * Bachelor’s degree or higher in a quantitative fields such as applied mathematics, statistics, engineering, finance, economics, econometrics or computer sciences * 4+ years of progressive experience in credit and risk analytic roles * Hands on Experience in at least one area in credit risk analytics - credit strategy / modeling techniques / Forecasting techniques / data architecture & management * Good understanding of risk domain; Strong Risk analytics skills and understanding of P&L and risk drivers. * Expertise in few programming and statistical packages - SAS, SQL, Excel, VBA, Macros, R, Python, E-miner, Tableau, SAS VA * Knowledge of advanced statistical tools such as Segmentation Tools, Decision Trees, Clustering, Regression, and other statistical modeling and/or Machine Learning techniques * Ability to identify and evaluate trends, isolate root cause, and provide swift/thorough resolution * Strong analytical skills with ability to turn findings into executable plans to meet business objectives * Proficiency in Advanced SAS,SAS macros and SQL; Tableau or BI/automation tools * Strong project management skills with ability to prioritize work, meet deadlines, achieve goals, and work under pressure in a dynamic and complex environment * Strong ability to develop partnerships and collaborate with other business and functional area. **Job Expectations:** * The incumbent would functionally contribute to the Auto Lending Credit Risk team and execute relatively large and complex projects. * Leads significant initiatives and processes, and partners with line of business management to drive the company credit culture, appetite, and business performance with inputs from senior leadership. * Directs and coordinates the various activities related to assessing and predicting risk and performance through business analysis and/or modeling. Establishes effective policies, processes, and tools to identify and manage risks. Uses predictive sciences for developing future ready solutions. * Develops comprehensive monitoring frameworks and dashboards and provide statistically sound diagnostic evaluation of any emerging or unexpected risk areas to enhance intelligence and facilitate faster decision making. * Reports on asset quality (delinquency, loss rate), portfolio trends, credit policy exceptions across various credit, vintage, product, offer, channel, industry segments using visualization tools such as Excel VBA, Tableau and/or SAS Visual Analytics. * Develops quantitative/qualitative tools and methodologies for forecasting losses in supporting portfolio planning, loan loss provisioning, or new account acquisitions. * Develop, maintain, and enhance the complex programming to extract data and/or manipulate databases such as Oracle, Teradata to support LOB strategy. Perform complex data analysis to support data quality, data integrity control. * Evaluate new data sources and attributes, internal and external from extensive case reviews. Analyze big data and understand / monitor trends to provide actionable insights across a range of risk analytics initiatives. * Produce production of monthly, quarterly, and annual performance reports for senior management; review and analyze trends in current population distributions * Provide research and process support for data lineage development and maintenance from Analytic data warehouse to its provisioning points. Provide access management related research support **Posting End Date:** 12 Jun 2026 _***Job posting may come down early due to volume of applicants.**_ **We Value Equal Opportunity** Wells Fargo is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other legally protected characteristic. Employees support our focus on building strong customer relationships balanced with a strong risk mitigating and compliance-driven culture which firmly establishes those disciplines as critical to the success of our customers and company. They are accountable for execution of all applicable risk programs (Credit, Market, Financial Crimes, Operational, Regulatory Compliance), which includes effectively following and adhering to applicable Wells Fargo policies and procedures, appropriately fulfilling risk and compliance obligations, timely and effective escalation and remediation of issues, and making sound risk decisions. There is emphasis on proactive monitoring, governance, risk identification and escalation, as well as making sound risk decisions commensurate with the business unit’s risk appetite and all risk and compliance program requirements. Candidates applying to job openings posted in Canada: Applications for employment are encouraged from all qualified candidates, including women, persons with disabilities, aboriginal peoples and visible minorities. Accommodation for applicants with disabilities is available upon request in connection with the recruitment process. **Applicants with Disabilities** To request a medical accommodation during the application or interview process, visit [Disability Inclusion at Wells Fargo](https://www.wellsfargojobs.com/en/diversity/disability-inclusion/). **Drug and Alcohol Policy** **** Wells Fargo maintains a drug free workplace. Please see our [Drug and Alcohol Policy](https://www.wellsfargojobs.com/en/wells-fargo-drug-and-alcohol-policy) to learn more. **Wells Fargo Recruitment and Hiring Requirements:** a. Third-Party recordings are prohibited unless authorized by Wells Fargo. b. Wells Fargo requires you to directly represent your own experiences during the recruiting and hiring process.", "summaryDescription" : "Senior Risk Analytics Consultant at Wells Fargo. Skills: Risk Analytics, Credit risk, Data analysis, Modeling. Lead or participate in initiatives. Deliver insight and decision strategies", "postedDate" : "2026-06-12T06:48:18.283", "createdAt" : "2026-06-12T06:48:18.184", "lastUpdated" : "2026-06-15T00:25:35.044", "ingestTimestamp" : "2026-06-12T06:48:18.184", "mongoId" : "6a2adaa074d8ee00a071c4af", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://wd1.myworkdaysite.com/recruiting/wf/WellsFargoJobs/job/Bengaluru-India/Senior-Risk-Analytics-Consultant_R-538056", "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Statistical modeling", "Machine Learning techniques", "Segmentation Tools", "Decision Trees", "Clustering", "Regression", "Data analysis", "Quantitative tools", "Leadership", "Mentoring", "Risk Analytics", "Credit risk", "Modeling", "Credit risk analytics", "Data aggregation", "Forecasting", "Reporting", "Model documentation", "Business modeling", "Risk reporting", "Modeling strategies", "Quantitative analysis", "Portfolio planning", "Loan loss provisioning", "Data quality", "Data integrity", "Big data analysis", "Asset quality reporting", "Prioritize work", "Meet deadlines", "Achieve goals", "Work under pressure", "Risk reporting policies", "Auto Lending Credit Risk", "Company credit culture", "Asset quality", "Portfolio trends", "Credit policy", "Data lineage", "Analytic data warehouse", "SAS", "SQL", "Excel", "VBA", "Macros", "R", "Python", "E-miner", "Tableau", "SAS VA", "Oracle", "Teradata", "SAS Visual Analytics" ], "skillCount" : 53, "jobCategory" : "consulting", "seniorityLevel" : "senior", "dataQualityScore" : 1.0, "_score" : 901.56396, "daysOld" : 2, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Financial Services" }, { "id" : "6a2c5ea374d8ee00a08e5890", "title" : "Member Experience Center Technology and Analytics Manager", "company" : "Credit Union of Colorado", "salary" : { "min" : 101200.0, "max" : 126500.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Denver Central Park HQ", "locations" : [ "Denver Central Park HQ" ], "timestamp" : "2026-06-15T01:37:31.074", "fingerprint" : "ce59b69e85bb3b758343c6925e9caea5cfd92543b71344d704a62665bc275870", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/creditunionofcolorado/jobs/5255557008", "externalId" : "5255557008", "structuredLocations" : [ { "city" : "Denver", "state" : "Colorado", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "39.7392364,-104.9848620" } ], "locationText" : "Denver, Colorado, United States", "experienceLevel" : "Manager", "technicalSkills" : "AI, Predictive analytics", "professionalSkills" : [ "Contact center operations", "Data optimization", "Change management", "Risk mitigation", "Vendor management", "Cross-functional collaboration", "Forecasting", "Reporting", "Succession planning" ], "hardSkillsList" : [ "Data visualization", "Performance coaching" ], "softSkillsList" : [ "Leadership", "Mentorship", "Presentation skills" ], "hardSkills" : [ { "name" : "Data visualization", "level" : "intermediate" }, { "name" : "Performance coaching", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Mentorship" }, { "name" : "Presentation skills" } ], "majorSkills" : "Technology roadmap, Contact center technology, Data analytics", "majorSkillsList" : [ "Technology roadmap", "Contact center technology", "Data analytics" ], "coreResponsibilities" : "Champion MXC technology, systems, data, Deliver future focused roadmaps, Implement AI-driven solutions, Explore emerging technologies, Introduce new MXC technology functionality, Lead change management initiatives, Use MXC data to tell story, Execute strategic MXC technology roadmap, Develop predictive analytics strategies, Manage technology risk, security, compliance, Lead MXC technology team, Manage vendor relationships, Empower employees with real-time data, Foster cross-functional collaboration, Provide guidance on contact center design, Stay current on industry best practices, Recommend changes to policies, processes, systems, Direct staff monitoring and reporting, Provide guidance, mentorship, coaching, Establish and track KPIs, Lead department initiatives, Participate in organizational projects, Use DEI lens, Build interpersonal relationships, Participate in community activities, Perform additional duties", "teamCollaboration" : "Cross-functional collaboration; Collaboration with IT; Collaboration with Strategic Operations; Collaboration with Digital Services; Collaboration with Data and Analytics; Interpersonal relationships with peers; Relationships with external vendors", "projectManagementSkills" : [ "Roadmap planning" ], "domainKnowledge" : "Contact Center solutions; Credit Union products; Legal and regulatory requirements", "domainList" : [ "contact-center-solutions", "credit-union-products", "legal-and-regulatory-requirements" ], "domainSpecificKnowledge" : [ "Contact Center solutions", "Credit Union products", "Legal and regulatory requirements" ], "toolProficiency" : [ "Tableau", "Excel", "Zendesk", "Five9" ], "communicationSkills" : "Effective presentation skills", "continuousLearning" : "Professional development opportunities; Webinars; Conferences", "innovationCreativity" : "Identify innovative solutions; Future-focused advancements", "problemSolvingSkills" : "Creative problem-solving", "specialRequirements" : "Lift/move up to 10 pounds, Position self under desks, Travel to CU locations", "outcomesObjectives" : "Deliver best-in-class contact center experiences; Drive efficiencies; Elevate member and employee experiences; Meet/exceed service expectations; Enhance proactive decision-making; Maximize vendor ROI; Meet department metrics/SLAs; Ensure measurable impact", "qualificationsBasic" : "Bachelor's degree or equivalent experience, 1 year IVA/IVR design experience, 3 years contact center platforms experience, 5 years leadership experience, Telecom/telephony projects experience", "qualificationsPreferred" : "3 years contact center leadership experience", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "Pay Range: $101,200 - $126,500 Remote Eligible: Hybrid We offer a pay-for-performance compensation program including bonuses for all employees and a competitive benefits package. See https://www.cuofco.org/careers for a high-level overview of our benefits package and bonus offerings. General Purpose of the Position The MXC Technology and Analytics Manager is responsible for ensuring the Member Experience Center's (MXC) success, leading the technology roadmap by identifying, designing, and implementing innovative solutions that consistently deliver best-in-class contact center experiences. This position will craft and execute a forward-thinking technology roadmap that aligns with the organization's strategic priorities, driving efficiencies, and fostering data-driven insights. This role also entails overseeing key vendor relationships, managing cross-functional collaboration, and developing a high performing team focused on technology, process improvement, and data optimization. This manager will excel in change management, risk mitigation, and be proactive in identifying trends that can transform MXC’s capabilities and elevate the member and employee experiences as the owner of effective contact center technology for the MXC and Credit Union of Colorado’s internal departments. Essential Duties and Responsibilities Champions and drives the MXC technology, systems, and data efforts with a primary focus on delivering an exceptional member and employee experience. Delivers future focused roadmaps and strategic conversations that result in well-received and valued changes for members, employees, and the organization. Identifies and implements AI-driven solutions to optimize operational processes and automation, driving increased efficiency and effectiveness. Continuously explores emerging technologies and trends in contact center solutions, identifying opportunities for future-focused advancements that enhance member employee experiences. Proactively introduces and oversees new functionality related to MXC technology to meet/exceed member and employee service expectations. Leads change management initiatives within the MXC, ensuring smooth adoption of new technologies and processes by communicating benefits, providing training, and addressing questions. Uses MXC data to tell a story or support a change related to the business. Executes a strategic approach regarding the MXC technology roadmap that aligns with the future of the organization. Develops predictive analytics strategies to identify trends, potential pain point, and opportunities, enhancing proactive decision-making. Manages the risk, security, regulations, and compliance requirements related to technology and data within the MXC and across the organization. Leads a MXC technology team responsible for daily system administration, technology improvements, processes, analytics, forecasting, and reporting for the department. Manages the vendor relationships and product ownership related to MXC technology and systems maximizing the ROI. Empowers supervisors and frontline employees with real-time data to meet department metrics/SLAs while evaluating future opportunities for enhancements. Foster cross-functional collaboration with IT, Strategic Operations, Digital Services, and Data and Analytics consistently. Provides guidance and recommendations to the MXC Director to ensure current and future oriented contact center design principles are implemented. Stays current regarding contact center industry best practices and future trends related to data and technology by participating in professional development opportunities such as webinars or conferences. Makes recommendations to change policies, processes, or systems based on operational team and business metrics. Directs staff, including the MXC Operations Analyst, in the monitoring and reporting related to contact center operations to ensure internal quality service. Provides timely guidance, mentorship, and performance coaching to direct reports, fostering their professional growth, enhancing skill sets, and ensuring they consistently meet or exceed performance targets in alignment with succession planning. Establishes and tracks key performance indicators (KPIs) for technology driven initiatives, ensuring measurable impact on member satisfaction, operational efficiency, and team/organizational performance. Demonstrates effective presentation skills. Leads department initiatives and participates in organizational projects as a subject matter expert. Uses a DEI lens as part of the work efforts that impact technology, analytics, and data for the department. Builds and maintains strong interpersonal relationships with peers in the organization to ensure effective communication standards are established and service expectations are met. Participates in community and volunteer activities including involvement in CAP. Other duties as requested or assigned.  Performs additional duties and responsibilities as assigned. Requirements EDUCATION AND EXPERIENCE Requires a Bachelor’s degree in Technology, Computer Science, Business, or a related field, or an equivalent combination of education and experience.1 year of experience with IVA/IVR design, deployment, and reporting. 3 years of experience working with contact center platforms with multiple channels. 5 years of experience in a leadership position (Preferred 3 years of experience working in a contact center leadership position). Participation on telecom/telephony projects or work efforts professionally. Proficiency with data visualization tools and related analysis (Tableau, Excel). OTHER SKILLS AND ABILITIES Knowledge of Contact Center operations and procedures. Use of AI and the understanding of future opportunities related to AI. Experience with Zendesk in relation to contact center operations. Knowledge of Credit Union products and services. Solid understanding of related legal and regulatory requirements. Demonstrated effective management and leadership skills to select, motivate, develop and supervise assigned personnel. Creative problem-solving skills. Must be courteous, professional and tactful, able to converse with members in a business environment. Ability to work independently or as a member of a highly productive management team. Attentive to detail and accuracy. Ability to build and maintain productive relationships within the MXC; across the organization; and with external vendors. DIRECT REPORTS Supervisor(s) of Member Advocates and Specialists; MXC Operations Analyst; MXC Systems Analyst; Product owner for Five9 PHYSICAL DEMANDS While performing the duties of this job, the employee is typically required to remain stationary for long periods and is occasionally required to lift/move or transport up to 10 pounds. Employee will need to occasionally move about inside an office to access files, mail, office machinery, etc. and constantly operates a computer and other office equipment, such as a phone, copier/printer, etc. Will need to position self to maintain computers, including under desks and in the server closet. Employee will frequently communicate with members and co-workers and must be able to exchange accurate information in these situations. Employee will travel to visit CU location as needed. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Core Competencies Every position at Credit Union of Colorado is grounded in our organizational Core Values and Core Competencies. These skills and behaviors guide how we work, collaborate, and deliver results. Click here to view our Core Values and Core Competencies on Atlas. Credit Union of Colorado is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity or expression, national origin, age, disability, genetic information, marital status, veteran status, or any other characteristic protected by applicable federal, state, or local laws. Please note applicants can redact any information that identifies their age, birth date, or dates of schooling on either their resume or any additional materials provided.", "summaryDescription" : "Member Experience Center Technology and Analytics Manager at Credit Union of Colorado. Skills: Technology roadmap, Contact center technology, Data analytics. Champion MXC technology, systems, data. Deliver future focused roadmaps", "postedDate" : "2026-06-12T22:15:29.257", "createdAt" : "2026-06-12T22:15:29.257", "lastUpdated" : "2026-06-15T01:37:31.074", "ingestTimestamp" : "2026-06-12T22:15:29.257", "mongoId" : "6a2c5ea374d8ee00a08e5890", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 101200, "salaryAnnualMax" : 126500, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Data visualization", "Performance coaching", "Leadership", "Mentorship", "Presentation skills", "Technology roadmap", "Contact center technology", "Data analytics", "Contact center operations", "Data optimization", "Change management", "Risk mitigation", "Vendor management", "Cross-functional collaboration", "Forecasting", "Reporting", "Succession planning", "Roadmap planning", "Contact Center solutions", "Credit Union products", "Legal and regulatory requirements", "Tableau", "Excel", "Zendesk", "Five9" ], "skillCount" : 25, "jobCategory" : "other", "jobSubcategory" : "member-experience-center", "dataQualityScore" : 0.8888889, "_score" : 899.8664, "daysOld" : 2, "hasLocation" : true, "hasGeo" : true }, { "id" : "6a30554df292fd229cf1ed63", "title" : "Trainee (m/w/d) Data & Portfolio Analytics - Rückversicherung", "company" : "R+V Allgemeine Versicherung AG", "industry" : "Insurance", "salary" : { "min" : 46000.0, "max" : 58000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "The salary range is based on entry-level data for a Trainee in Data & Portfolio Analytics within the insurance industry in Wiesbaden, Germany, adjusted for company size and industry." }, "location" : "Wiesbaden, HE, Germany", "locations" : [ "Wiesbaden", "HE", "Germany" ], "timestamp" : "2026-06-16T09:32:35.556", "fingerprint" : "1b9542a9562b9cf1554f98bd6a2f83a5d08e15ef83f13e2055eae80b5a2f4a8a", "source" : "smartrecruiters", "language" : "de", "applyUrl" : "https://jobs.smartrecruiters.com/RVAllgemeineVersicherungenAG/744000132205721-trainee-m-w-d-data-portfolio-analytics-ruckversicherung", "externalId" : "744000132205721", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Wiesbaden", "state" : "Hesse", "country" : "Germany", "continent" : "eu", "source" : "llm", "workMode" : "hybrid", "geo" : "50.0820384,8.2416556" } ], "locationText" : "Wiesbaden, Hesse, Germany", "employmentType" : "FULL_TIME", "experienceMinYears" : 2, "experienceMaxYears" : 5, "experienceLevel" : "mid", "technicalSkills" : "Data Science, Portfolio Analytics", "professionalSkills" : [ "Quantitative Portfolioanalysen", "Handlungsempfehlungen", "Unternehmenssteuerung", "Datenbestände", "Auswertungen", "Kernaussagen", "Marktentwicklungen", "Sparten", "Risikothemen", "Chancenbewertung", "Risikobewertung", "Schutzdeckung", "Unternehmenssteuerung" ], "hardSkillsList" : [ "Quantitative Analyse", "Datenanalyse", "Risikoanalyse" ], "hardSkills" : [ { "name" : "Quantitative Analyse", "level" : "intermediate" }, { "name" : "Datenanalyse", "level" : "intermediate" }, { "name" : "Risikoanalyse", "level" : "intermediate" } ], "majorSkills" : "Data Analytics, Portfolio Analytics, Risk Management", "majorSkillsList" : [ "Data Analytics", "Portfolio Analytics", "Risk Management" ], "coreResponsibilities" : "Unterstützt quantitative Portfolioanalysen, Analysiert Fragestellungen rund um Underwriting, Analysiert Fragestellungen rund um Portfoliosteuerung, Überführt Datenbestände in Auswertungen, Recherchiert aktuelle Entwicklungen, Analysiert aktuelle Entwicklungen, Bewertet Chancen neuer Produkte, Bewertet Risiken neuer Produkte, Bereitet Ergebnisse für Fachbereiche auf, Bereitet Ergebnisse für Entscheidungsträger auf, Unterstützt Themen rund um Schutzdeckung, Führt Datenauswertungen durch, Trägt zu Unternehmenssteuerung bei", "teamCollaboration" : "Zusammenarbeit mit erfahrenen Kolleginnen; Zusammenarbeit mit Expertinnen; Zusammenarbeit im Team", "projectManagementSkills" : [ "Projektmanagement" ], "domainKnowledge" : "Rückversicherung; Nicht-Leben-Sparte; Finanzwirtschaftliches Umfeld; Aktive Rückversicherung", "domainList" : [ "ruckversicherung", "nicht-leben-sparte", "finanzwirtschaftliches-umfeld", "aktive-ruckversicherung" ], "domainSpecificKnowledge" : [ "Rückversicherung", "Nicht-Leben-Sparte", "Finanzwirtschaftliches Umfeld", "Aktive Rückversicherung" ], "communicationSkills" : "Ergebnisse aufbereiten", "continuousLearning" : "Persönlicher Entwicklungsplan; Hospitationen; Weiterbildungsmöglichkeiten; Externe Qualifizierungsmaßnahmen", "innovationCreativity" : "Agiles Arbeiten; Design Thinking", "problemSolvingSkills" : "Analytische Fähigkeiten; Lösungsorientierte Arbeitsweise", "outcomesObjectives" : "Handlungsempfehlungen mit sichtbarer Wirkung", "qualificationsBasic" : "Studium (Wirtschafts-)Mathematik, Physik, Data Science, Wirtschaftswissenschaften, Erste praktische Erfahrungen analytisch/finanzwirtschaftlich, Hohe Affinität zu Daten und Modellen, Ausgeprägte analytische Fähigkeiten, Schnelle Auffassungsgabe, Pragmatische, lösungsorientierte Arbeitsweise, Struktur und Zuverlässigkeit, Verhandlungssicheres Englisch, Fließende Deutschkenntnisse", "qualificationsPreferred" : "Starkem analytischem Fokus", "remoteFriendly" : false, "workSiteFlexibility" : "Hybrid", "rawDescription" : "Lass uns gemeinsam neue Wege gehen! Denn genau das tun wir bei der R+V, einem der größten Versicherer Deutschlands. Willkommen bei der R+V Re, einem der führenden Rückversicherer in der Nicht-Leben-Sparte, der nicht nur in Europa, sondern weltweit eine feste Größe ist. Wir sind ein genossenschaftlich verankertes Unternehmen, das Wert auf Kooperation und langfristige Partnerschaften legt, um aktiv den globalen Markt mitzugestalten. Bei uns werden Zusammenarbeit und individuelle Entwicklung großgeschrieben! * Du unterstützt bei quantitativen Portfolioanalysen des weltweiten Rückversicherungsgeschäfts und wirkst daran mit, Handlungsempfehlungen mit sichtbarer Wirkung für die Unternehmenssteuerung abzuleiten. * Gemeinsam mit erfahrenen Kolleginnen und Kollegen analysierst du Fragestellungen rund um das Underwriting und den Portfoliosteuerungsprozess und hilfst dabei, umfangreiche Datenbestände in klar strukturierte Auswertungen und Kernaussagen zu überführen. * Du recherchierst und analysierst aktuelle Entwicklungen in Märkten, Sparten und Risikothemen. Insbesondere bewertest du dabei Chancen und Risiken neuer Produkte und Themenfelder und bereitest deine Ergebnisse strukturiert für Fachbereiche und Entscheidungsträger auf. * Du unterstützt bei Themen rund um die Schutzdeckung für die aktive Rückversicherung: Du führst Datenauswertungen zu bestehenden und geplanten Schutzdeckungen durch und trägst so zu einer effektiven, risikoadäquaten Unternehmenssteuerung bei. * Durch die enge Zusammenarbeit mit erfahrenen Expertinnen und Experten entwickelst du dich Schritt für Schritt zur Spezialistin bzw. zum Spezialisten für Data & Portfolio Analytics in der Rückversicherung weiter. ## Qualifications * Erfolgreich abgeschlossenes Studium der (Wirtschafts-)Mathematik, Physik, Data Science, Wirtschaftswissenschaften (oder vergleichbarer Studienabschluss mit starkem analytischem Fokus); erste praktische Erfahrungen im analytischen oder finanzwirtschaftlichen Umfeld sind von Vorteil. * Hohe Affinität zu Daten und Modellen, ausgeprägte analytische Fähigkeiten und schnelle Auffassungsgabe: Du erfasst komplexe Fragestellungen zügig und bringst sie in eine klare, logisch strukturierte Form. * Pragmatische, lösungsorientierte Arbeitsweise, gepaart mit Struktur und Zuverlässigkeit – du arbeitest gerne im Team, übernimmst Verantwortung für deine Aufgaben und bringst eigene Ideen ein. * Verhandlungssicheres Englisch in Wort und Schrift; Freude an der Zusammenarbeit in einem internationalen Umfeld. * Fließende Deutschkenntnisse. Unser Angebot für Deinen Einsatz: Wir bieten Dir ein abwechslungsreiches Traineeprogramm mit Workshops zu spannenden und aktuellen Themen wie zum Beispiel agiles Arbeiten, Design Thinking und Projektmanagement. Zu unserem Traineeprogramm gehören auch ein gemeinsames Traineeprojekt sowie ein großes Traineenetzwerk aus ehemaligen und aktuellen Trainees. Ein persönlicher Entwicklungsplan sowie Hospitationen in Schnittstellenabteilungen, im Innendienst oder im Vertrieb runden das Traineejahr ab. Wir bieten: * Von Beginn an einen unbefristeten Arbeitsvertrag * Maßgeschneidertes Traineeprogramm mit Ausrichtung auf die Zielfunktion im Fachbereich * Attraktive Vergütung nach Tarifvertrag: * Bachelorabschluss: 59.724 Euro (14 Monatsgehälter) * Masterabschluss: 62.118 Euro (14 Monatsgehälter) * Umfangreiche Zusatzleistungen * Persönliche Betreuung und Entwicklung – ein Mentor steht Dir jederzeit mit Rat und Tat zur Seite * Umfassende Weiterbildungsmöglichkeiten und ausgezeichnete Perspektiven für Deine Entwicklung Erfahre mehr über das Traineeprogramm bei der R+V: [Unser Traineeprogramm (m/w/d) bei R+V – Was macht man eigentlich als Trainee?](https://www.youtube.com/watch?v=ENIKmkCGCYc) ## Additional Information Homeoffice: Flexible Arbeitszeiten im Homeoffice und Büro. Mehr Infos zu unserem hybriden Arbeiten findest Du [hier](https://www.ruv.de/karriere/blog/HomeOffice-bei-ruv). Arbeitszeiten: Standardmäßig 38h-Woche, Zeiterfassungssystem, Gleitzeit & Lebensarbeitszeitkonto. Urlaub: 30 Tage Urlaub & zusätzliche arbeitsfreie Tage (24.12. und 31.12.). Vergütung: 14 Monatsgehälter (inkl. Weihnachts- & Urlaubsgeld) oder Teilnahme am variablen Vergütungssystem, Sonderzahlungen, Mitarbeitertarife & Rabattaktionen. Gesundheit: Betriebliche Altersvorsorge & Gesundheitsmanagement mit vielfältigen Angeboten. Unser hauseigenes Fitnessstudio und ein breites Netzwerk von Sportangeboten (Wellpass) stehen Dir zudem online und bundesweit zur Verfügung. Mobilität: Jobticket, Jobrad/Fahrradleasing, verkehrsgünstige Lage mit überdachten Fahrradparkplätzen. Familie & Beruf: Eltern-Kind-Büros, Kindernotfallbetreuung, eigene Kindertagespflege „Raiffeisenzwerge“ sowie Pflegenetzwerk & Unterstützung durch die R+V-Sozialberatung. Kulinarik: Gesunde & ausgewogene Speisen in unserem Betriebsrestaurant. Weiterentwicklung: Förderung & Weiterentwicklung durch die R+V Akademie. Die Übernahme externer Qualifizierungsmaßnahmen komplettiert Deine persönliche sowie fachliche Entwicklung. Kultur: Wir leben Gemeinschaft. Unser Motto „Was einer nicht schafft, schaffen viele“ spiegelt sich auch in unseren Teams und dem täglichen Miteinander wider.", "summaryDescription" : "Trainee (m/w/d) Data & Portfolio Analytics - Rückversicherung at R+V Allgemeine Versicherung AG. Skills: Data Analytics, Portfolio Analytics, Risk Management. Unterstützt quantitative Portfolioanalysen. Analysiert Fragestellungen rund um Underwriting", "postedDate" : "2026-06-15T13:53:45.000", "createdAt" : "2026-06-15T23:43:56.405", "lastUpdated" : "2026-06-16T09:32:35.556", "ingestTimestamp" : "2026-06-15T23:43:56.405", "mongoId" : "6a30554df292fd229cf1ed63", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "30k-50k", "hasSalary" : false, "allSkills" : [ "Quantitative Analyse", "Datenanalyse", "Risikoanalyse", "Data Analytics", "Portfolio Analytics", "Risk Management", "Quantitative Portfolioanalysen", "Handlungsempfehlungen", "Unternehmenssteuerung", "Datenbestände", "Auswertungen", "Kernaussagen", "Marktentwicklungen", "Sparten", "Risikothemen", "Chancenbewertung", "Risikobewertung", "Schutzdeckung", "Projektmanagement", "Rückversicherung", "Nicht-Leben-Sparte", "Finanzwirtschaftliches Umfeld", "Aktive Rückversicherung" ], "skillCount" : 23, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Entry", "dataQualityScore" : 1.0, "_score" : 898.46234, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Insurance", "llmIndustryConfidence" : 0.95 }, { "id" : "6a307a21f292fd229c03866c", "title" : "Manager, Data Analytics", "company" : "Empower Pharmacy", "industry" : "Pharma", "salary" : { "min" : 115000.0, "max" : 155000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline data for a Manager, Data Analytics in Houston, United States, adjusted for the healthcare industry and manager seniority." }, "location" : "Houston, Texas, United States", "locations" : [ "Houston", "Texas", "United States" ], "timestamp" : "2026-06-16T13:26:43.592", "fingerprint" : "05f21b76f4c8516ae23bcccc23667970a3adf873d1d9a6b9878b1eb579f324ae", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://careers.empowerpharmacy.com/jobs/4282342009?gh_jid=4282342009", "externalId" : "4282342009", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Houston", "state" : "Texas", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "29.7589382,-95.3676974" } ], "locationText" : "Houston, Texas, United States", "experienceMinYears" : 5, "experienceLevel" : "Manager", "technicalSkills" : "AI", "professionalSkills" : [ "Data governance", "Compliance" ], "hardSkillsList" : [ "Data analytics" ], "softSkillsList" : [ "Customer Focus", "Strategic AI", "Optimizes Work Processes", "Collaborates", "Resourcefulness", "Manages Complexity", "Ensures Accountability", "Situational Adaptability", "Communicates Effectively" ], "hardSkills" : [ { "name" : "Data analytics", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Customer Focus" }, { "name" : "Strategic AI" }, { "name" : "Optimizes Work Processes" }, { "name" : "Collaborates" }, { "name" : "Resourcefulness" }, { "name" : "Manages Complexity" }, { "name" : "Ensures Accountability" }, { "name" : "Situational Adaptability" }, { "name" : "Communicates Effectively" } ], "coreResponsibilities" : "Leverage AI to drive business innovation, Enhance data analytics capabilities", "domainKnowledge" : "Healthcare; Pharmaceutical manufacturing", "domainList" : [ "healthcare", "pharmaceutical-manufacturing" ], "domainSpecificKnowledge" : [ "Healthcare", "Pharmaceutical manufacturing" ], "specialRequirements" : "Talk and hear, Remain stationary, Use hands and fingers, Move about the office, Stand, walk, reach, Climb or balance, Stoop, kneel, crouch or crawl", "qualificationsBasic" : "5 years of experience in data analytics, 2 years in a leadership position, Experience in a highly regulated industry", "qualificationsPreferred" : "Proven track record of leveraging AI", "remoteFriendly" : false, "rawDescription" : "Empower Pharmacy is a visionary healthcare company dedicated to making quality, affordable medication accessible to millions of patients nationwide. As the nation’s most advanced 503A compounding pharmacy and FDA-registered 503B outsourcing facility, we’re redefining what’s possible in personalized medicine and pharmaceutical manufacturing. We’re proud to be recognized as one of Houston’s fastest-growing private companies and ranked #116 in Healthcare Master’s preferred. Minimum of 5 years of experience in data analytics or related roles, with at least 2 years in a leadership position. Proven track record of leveraging AI to drive business innovation and enhance data analytics capabilities. Experience in a highly regulated industry, with a deep understanding of data governance and compliance. Key Competencies: Customer Focus: Builds trust through customer-centric solutions. Strategic AI: Guides responsible AI adoption and adaptation. Optimizes Work Processes: Drives efficiency with continuous improvement. Collaborates: Partners effectively to achieve shared goals. Resourcefulness: Secures and deploys resources efficiently. Manages Complexity: Simplifies and solves complex challenges. Ensures Accountability: Delivers on commitments with integrity. Situational Adaptability: Adjusts approach to shifting conditions. Communicates Effectively: Tailors messages to diverse audiences. Values: People: Empowering people defines who we are. Quality: Excellence in every product, every time. Service: Serving others is our highest purpose. Innovation: Advancing care through technology and discovery. Employee Benefits, Health and Wellness: We offer comprehensive benefits to support your health, well-being, and future, including medical, dental, and vision coverage, paid time off, 401(k) matching, wellness perks, IV therapy, and compounded medications. Learn more: https://careers.empowerpharmacy.com/benefits/ Physical Requirements: While performing the responsibilities of the job, the employee is required to talk and hear. The employee is often required to remain in a stationary position for a significant amount of the workday and frequently use their hands and fingers to handle or feel in order to access, input, and retrieve information from the computer and other office productivity devices. Employees are regularly required to move about the office and around the corporate campus. The employee is regularly required to stand, walk, reach with arms and hands, climb or balance, and to stoop, kneel, crouch or crawl.", "summaryDescription" : "Manager, Data Analytics at Empower Pharmacy. Leverage AI to drive business innovation. Enhance data analytics capabilities", "postedDate" : "2026-06-16T01:17:33.811", "createdAt" : "2026-06-16T01:17:33.811", "lastUpdated" : "2026-06-16T13:26:43.592", "ingestTimestamp" : "2026-06-16T01:17:33.811", "mongoId" : "6a307a21f292fd229c03866c", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 115000, "salaryAnnualMax" : 155000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Data analytics", "Customer Focus", "Strategic AI", "Optimizes Work Processes", "Collaborates", "Resourcefulness", "Manages Complexity", "Ensures Accountability", "Situational Adaptability", "Communicates Effectively", "Data governance", "Compliance", "Healthcare", "Pharmaceutical manufacturing" ], "skillCount" : 14, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Manager", "dataQualityScore" : 0.8888889, "_score" : 891.2129, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2ca3ba74d8ee00a09ad61a", "title" : "Director Analytics WOTC", "company" : "Hasbro", "salary" : { "min" : 195900.0, "max" : 293900.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "United States", "locations" : [ "United States" ], "timestamp" : "2026-06-15T11:34:37.247", "fingerprint" : "07db2de0bee418066371682c34ab16815fc9a771e19437e6ae9327fe510f00d3", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/hasbro/jobs/4249909009", "externalId" : "4249909009", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Renton", "state" : "Washington", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "47.4799078,-122.2034496" } ], "locationText" : "Renton, Washington, United States", "employmentType" : "FULL_TIME", "experienceLevel" : "Director", "remoteFriendly" : true, "rawDescription" : "We take play seriously. We’re looking for curious adventurers ready to find their party, fueled by imagination and drive to build what’s never been built before. At Hasbro and Wizards of the Coast, you’ll collaborate with passionate teams to reimagine our iconic brands and create experiences that spark joy, connection, and community through the magic of play. This is your chance to shape legendary play that lasts a lifetime. Hasbro's Direct-to-Consumer (DTC) platform connects fans worldwide through seamless, intelligent, and data-driven digital commerce experiences. As Director of Analytics, you will lead the vision, strategy, and execution that transform data into insights powering business growth, fan engagement, and operational excellence. You will build the unified analytics foundation that enables Hasbro's DTC-as-a-Service (DTCaaS) model, delivering shared infrastructure, standardized measurement, and actionable intelligence across Pulse, D&D Beyond, and future brand storefronts. This role blends strategic leadership with technical depth to ensure our data capabilities scale with the business and elevate fan experience, product performance, and operational efficiency. You will champion enterprise-wide data literacy, foster a culture of data-informed decision-making, and establish clear ROI frameworks to measure and communicate the impact of analytics investments. This role is a hybrid role based in Renton, WA with three days a week expected in office. What You'll Do Build the Analytics Foundation for DTCaaS Define the unified data architecture across our eCommerce platform and integrated systems. Establish cross-brand KPIs and measurement standards spanning sales, forecasting, fulfillment, customer behavior, and financial performance. Own the semantic layer, shared dashboards, and reporting assets used across all DTC brands. Lead instrumentation strategy to ensure consistent, high-quality events and insights across journeys (acquisition, checkout, campaigns, fulfilment, service). Implement data governance, privacy-by-design, and compliance frameworks in partnership with Legal, Security, and IT to ensure regulatory readiness and trusted insights. Deliver Scalable, Reusable Insights Products Build automated reporting and insight tools for leadership reviews, business insights, and operational actions. Develop dashboards and analytic products for sales, marketing, supply chain, finance, and operations. Introduce predictive modeling for sell-thru, inventory health, fulfillment operations, and customer lifetime value. Create self-service analytics capabilities that empower teams while maintaining governance and data quality. Define and operationalize analytics success metrics, such as insight adoption, forecast accuracy, and cycle-time reduction, to demonstrate business impact. Drive Operational Intelligence and Cost Transparency Develop models for commerce economics: shipping, payments, storage, returns, promotions, and platform cost allocation. Partner with Finance, Supply Chain, and Operations to enable data-driven planning and efficiency improvements. Improve business insights, merchandising insights, and logistics planning across regions. Integrate analytics outcomes into annual and long-range planning processes, securing executive sponsorship and linking initiatives directly to business goals. Lead and Grow a High-Performing Analytics Organization Lead business intelligence engineering and analytics talent across multiple domains. Mentor and develop team members while promoting excellence, collaboration, and innovation. Own the analytics intake, prioritization, roadmaps, and delivery and ensure visibility and alignment, and across functions. Partner closely with Product, Engineering, Marketing, Finance, Supply Chain, and CX to embed analytics into roadmap planning and decision-making. Influence leadership through clear storytelling, strategic framing, and data-driven recommendations. Shape the Future of Hasbro's Data & Analytics Capabilities Evaluate and integrate emerging technologies (AI/ML, predictive fulfillment, experimentation platforms, observability, automation). Define long-term principles and architectures that scale across brands, markets, and product lines. Champion DataOps, testing, lineage, and reliability standards to ensure trust in insights. Drive platform performance, cost governance, and continuous improvement across datawarehouses, BI tools, and event pipelines. Manage key vendor and technology partnerships to optimize platform performance, cost efficiency, and innovation across the data ecosystem. Minimum Qualifications 10+ years of experience in data analytics, BI, analytics engineering, or data engineering. 5+ years leading multi-disciplinary analytics or data teams. Proven ability to architect and scale data models, dashboards, forecasting tools, and analytics foundations for commerce or consumer-facing platforms. Strong understanding of how analytics informs commerce, marketing, finance, supply chain, customer experience, and operations. Experience partnering with engineering and product teams to influence data models, instrumentation, and system design. Exceptional communication skills, able to simplify complexity and influence executives and cross-functional leaders. Familiar with modern data platforms and analytics engineering concepts (Snowflake, dbt, Databricks, Tableau/Power BI), with the ability to guide technical teams and set standards without being hands-on. Demonstrated success delivering measurable business impact through analytics Preferred Qualifications Proven ability to influence senior stakeholders and drive alignment across functions to advance enterprise-wide analytics initiatives. Able to apply global privacy requirements (GDPR, CCPA, COPPA) when shaping data models, instrumentation plans, and reporting systems. Experienced designing insights and forecasting frameworks that scale across multiple brands and regions, accounting for differences in currency, tax/VAT, catalog structure, and fulfillment workflows. Background applying predictive analytics, or experimentation frameworks to strengthen demand planning, customer insight, and conversion optimization. The pay transparency range for this role is listed below. The hiring range will vary based on factors such as experience, skills, location and market conditions. Additionally, employees may be eligible for annual and long-term incentives as part of their overall compensation package. Pay Range $195,900—$293,900 USD Employees may be eligible for annual and long-term incentives as part of their overall compensation package, depending on role, location, and eligibility. Benefits and programs may include: Health & Wellness Time Off to Recharge Financial Well-being Life & Family Support Volunteer and Community Initiatives Learning & Development Exclusive Perks Please review our Applicant Privacy Notice to learn how we collect, use, and protect your personal information in connection with the application process.", "summaryDescription" : "Director Analytics WOTC at Hasbro", "postedDate" : "2026-06-14T01:42:37.566", "createdAt" : "2026-06-14T01:42:37.566", "lastUpdated" : "2026-06-15T11:34:37.247", "ingestTimestamp" : "2026-06-14T01:42:37.566", "mongoId" : "6a2ca3ba74d8ee00a09ad61a", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 195900, "salaryAnnualMax" : 293900, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Director", "dataQualityScore" : 0.8888889, "_score" : 889.7733, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "E-Commerce", "llmIndustryConfidence" : 0.97 }, { "id" : "6a2c5e4274d8ee00a08e28b1", "title" : "Data Analytics Manager", "company" : "Bolt Technology", "industry" : "Technology", "salary" : { "min" : 55000.0, "max" : 80000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Data Analytics Manager in Tallinn, Estonia, adjusted for manager seniority and technology industry." }, "location" : "Tallinn, Estonia", "locations" : [ "Tallinn", "Estonia" ], "certifications" : [ "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "dbt Certified" ], "timestamp" : "2026-06-15T00:12:40.133", "fingerprint" : "f595a5ea5e7db2de4bf5212e4e1e675a377b8035f36dc089f445f210cee16345", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://bolt.eu/en/careers/positions/8568325002?gh_jid=8568325002", "externalId" : "8568325002", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Tallinn", "country" : "Estonia", "continent" : "eu", "source" : "llm", "workMode" : "hybrid", "geo" : "59.4372420,24.7572693" } ], "locationText" : "Tallinn, Estonia", "experienceLevel" : "Manager", "technicalSkills" : "SQL, Python, R, Scala, Spark, dbt, Tableau, Power BI, Looker, Snowflake, BigQuery, Redshift, Databricks, Fivetran, Airflow, dbt Cloud, Delta Lake, scikit-learn, TensorFlow, PyTorch, XGBoost, LightGBM, Hugging Face, MLflow, AWS, GCP, Azure, S3, Glue, SageMaker, Athena, Vertex AI, Synapse, ML Studio", "professionalSkills" : [ "Billing processes", "Financial data", "Marketplace finances", "Tax reporting", "Payout reconciliation", "Audits", "Financial investigations", "Regulatory reporting", "Pricing logic", "Product lines" ], "hardSkillsList" : [ "Data modelling", "SQL optimization", "Financial reconciliation", "Regulatory compliance", "Process building" ], "softSkillsList" : [ "Leadership", "Intelligence", "Integrity" ], "hardSkills" : [ { "name" : "Data modelling", "level" : "intermediate" }, { "name" : "SQL optimization", "level" : "intermediate" }, { "name" : "Financial reconciliation", "level" : "intermediate" }, { "name" : "Regulatory compliance", "level" : "intermediate" }, { "name" : "Process building", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Intelligence" }, { "name" : "Integrity" } ], "majorSkills" : "Data analytics, Billing systems, Financial data", "majorSkillsList" : [ "Data analytics", "Billing systems", "Financial data" ], "coreResponsibilities" : "Lead and develop a team of analysts, Set high technical standards, Coach analysts toward senior-level thinking, Own reliability and integrity of billing data models, Own reporting foundations, Own financial datasets, Serve as go-to person for finance data topics, Handle complex data requests, Drive platform-level regulatory reporting, Ensure billing data stays compliant, Build structured operational processes, Design models, Set technical standards, Solve production data reconciliation problems", "teamCollaboration" : "Work across Finance; Work across Fraud; Work across Payments; Work across Compliance; Work across Product; Work across Operations; Work with product teams; Work with engineering teams", "projectManagementSkills" : [ "Prioritisation frameworks" ], "domainKnowledge" : "Financial data; Billing systems; Regulatory reporting; Tax rules; Pricing logic; Product lines", "domainList" : [ "financial-data", "billing-systems", "regulatory-reporting", "tax-rules", "pricing-logic", "product-lines" ], "domainSpecificKnowledge" : [ "Financial data", "Billing systems", "Regulatory reporting", "Tax rules", "Pricing logic", "Product lines" ], "toolProficiency" : [ "SQL", "Python", "Tableau", "Power BI", "Looker", "Snowflake", "BigQuery", "Redshift", "Databricks", "dbt", "Fivetran", "Airflow", "AWS", "GCP", "Azure" ], "communicationSkills" : "Stakeholder management", "continuousLearning" : "Accelerate professional growth; Unique career opportunities", "problemSolvingSkills" : "Problem structuring", "outcomesObjectives" : "Scale and improve billing processes; Make marketplace finances legible; Make marketplace finances trustworthy; Make marketplace finances actionable", "qualificationsBasic" : "Technical depth in SQL, Data modelling experience, Experience with financial data, Formal management experience a plus", "qualificationsPreferred" : "PhD preferred, Specific ML framework experience, Cloud platform certs", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "We are looking for an experienced Data Analytics Manager to join our Commerce team and help us scale and improve our billing processes across 50+ countries. About us Bolt is one of the fastest-growing tech companies in Europe and Africa, with over 200 million customers in 50+ countries. We’re a global team of more than 100 nationalities joined on a common mission – to make cities for people, not cars. And we need you to make it happen! About the role At our core, we enable commerce – and behind every transaction on our platform sits a complex web of financial data that needs to be accurate, compliant, and available to the people who depend on it. We're building the analytical foundations that make marketplace finances legible, trustworthy, and actionable at scale. As a Data Analytics Manager in Billing, you'll own the team responsible for making sense of how money moves through our platform. From marketplace financial data that powers decisions across the company, to platform-level metrics that measure operational health, to complex regulatory reporting like DAC7 – your team is the one others turn to when they need the numbers to be right. This is a hands-on leadership role. You'll manage a small team of analysts while still getting deep into the data yourself – designing models, setting technical standards, and solving the kinds of problems where production data needs to reconcile down to the cent with financial records. You'll work across Finance, Fraud, Payments, Compliance, Product, and Operations, often under pressure and with competing priorities. It's a role for someone who thrives in high-stakes, compliance-heavy environments and knows how to bring structure to chaos without losing speed. You'll sit in the Billing group within Commerce, alongside product and engineering teams building the systems your data describes. Your daily adventures will include: Leading and developing a team of analysts, setting high technical standards and coaching them toward senior-level thinking – not just in SQL, but in how to approach problems. Owning the reliability and integrity of billing-related data models, reporting foundations, and financial datasets used across the company. Serving as the go-to person for finance-related data topics across Commerce – tax reporting, payout reconciliation, audits, and financial investigations all land on your desk. Handling complex data requests from internal stakeholders (Finance, Ops, Product) and external counterparties, often with tight deadlines and high expectations. Driving platform-level regulatory reporting (e. g. DAC7) and ensuring billing data stays compliant as tax rules, pricing logic, and product lines evolve. Building structured operational processes – clear SLAs, prioritisation frameworks, and support workflows – so the team can deliver reliably without firefighting. About you: You have strong technical depth in SQL and data modelling, and you're recent enough with it to coach others and review their work critically. You've worked with financial data before – you know what an invoice is, you've chased cents across systems, and you understand what it means to map production data to financial records. You can handle noisy, high-pressure stakeholder environments where the deadline was yesterday and everyone's ask feels urgent. You've led projects or teams before – formal management experience is a plus, but what matters most is that you can set direction, uplift people, and hold a high bar. You think structurally about problems: you'd rather build the right data model than answer the same ad-hoc question three times. You're comfortable operating at the intersection of data, finance, and compliance – and you don't need someone to translate between those worlds for you. Experience is great, but what we really look for is drive, intelligence, and integrity. So even if you don’t tick every box, please consider applying if you feel you’re the kind of person described above! Why you’ll love it here: Play a direct role in shaping the future of mobility. Impact millions of customers and partners in 600+ cities across 50 countries. Work in fast-moving autonomous teams with some of the smartest people in the world. Accelerate your professional growth with unique career opportunities. Get a rewarding salary and stock option package that lets you focus on doing your best work. Enjoy the flexibility of working in a hybrid mode. Take care of your physical and mental health with our wellness perks. *Some perks may differ depending on your location. #LI-Hybrid", "summaryDescription" : "Data Analytics Manager at Bolt Technology. Skills: Data analytics, Billing systems, Financial data. Lead and develop a team of analysts. Set high technical standards", "postedDate" : "2026-06-12T21:44:00.837", "createdAt" : "2026-06-12T21:44:00.837", "lastUpdated" : "2026-06-15T00:12:40.133", "ingestTimestamp" : "2026-06-12T21:44:00.837", "mongoId" : "6a2c5e4274d8ee00a08e28b1", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "50k-75k", "hasSalary" : false, "allSkills" : [ "Data modelling", "SQL optimization", "Financial reconciliation", "Regulatory compliance", "Process building", "Leadership", "Intelligence", "Integrity", "Data analytics", "Billing systems", "Financial data", "Billing processes", "Marketplace finances", "Tax reporting", "Payout reconciliation", "Audits", "Financial investigations", "Regulatory reporting", "Pricing logic", "Product lines", "Prioritisation frameworks", "Tax rules", "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "dbt Certified", "SQL", "Python", "Tableau", "Power BI", "Looker", "Snowflake", "BigQuery", "Redshift", "Databricks", "dbt", "Fivetran", "Airflow", "AWS", "GCP", "Azure" ], "skillCount" : 41, "jobCategory" : "other", "jobSubcategory" : "data-analytics", "dataQualityScore" : 0.8888889, "_score" : 888.51996, "daysOld" : 2, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology" }, { "id" : "6a2ca67f74d8ee00a09bbd1b", "title" : "Director, Information Technology", "company" : "Crexi", "industry" : "Real Estate", "salary" : { "min" : 182000.0, "max" : 247000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Playa Vista, California, United States", "locations" : [ "Playa Vista", "California", "United States" ], "timestamp" : "2026-06-16T02:24:21.260", "fingerprint" : "f78ab2c7b60e65ca62033c3ec38e8989276b643bf26f7bec77e49716224f1b26", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/crexi/jobs/4705236005", "externalId" : "4705236005", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Playa Vista", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "33.9760102,-118.4181654" } ], "locationText" : "Playa Vista, California, United States", "employmentType" : "FULL_TIME", "experienceLevel" : "Director", "remoteFriendly" : false, "rawDescription" : "About Crexi Crexi is reimagining commercial real estate with an AI-powered platform built to deliver smarter, more efficient solutions at every stage of the deal lifecycle. From real-time data and market insights generated by Crexi Intelligence, to targeted property marketing and seamless deal management through Crexi PRO, and a transparent, time-bound bidding experience with Crexi Auction— Crexi enables users to evaluate opportunities, maximize exposure, and close with speed and confidence. To date, Crexi has facilitated over $1 trillion in transactions, 8.6 billion square feet leased, and supports a growing community of more than 2 million monthly active users. Crexi’s mission is to catalyze the next generation of commercial real estate through three core pillars: Access, Innovation, and Connection. Crexi’s platform democratizes CRE by providing unprecedented access to market insights and opportunities, accelerates CRE dealmaking with purpose-built technology that enhances speed and transparency; and empowers CRE professionals with a centralized platform designed for real-time collaboration and success. About This Role: The Director, Information Technology leads Crexi’s IT efforts, shaping strategy, overseeing teams, and optimizing technology solutions to support the growth and success of our company. With a focus on corporate IT and security infrastructure design and management, this role ensures that technology drives business excellence and compliance. What You’ll Do Provides leadership to the IT team, setting clear goals, objectives, and priorities. Oversees the day-to-day management and maintenance of corporate IT infrastructure, including end-user compute, office networks, SaaS tools, and corporate identity systems. Ensures the availability and performance of corporate IT systems and end-user services. Builds, mentors, and leads a high-performing IT team, fostering a culture of innovation, skill development, and accountability. Manages IT resources effectively and allocates them to support business priorities. Manages relationships with technology vendors and partners, including contract negotiations, performance evaluation, and strategic collaboration. Ensures vendor services align with business needs and standards. Oversees IT budgeting and financial planning, monitors expenses, and optimizes resource allocation. Identifies cost-saving opportunities and ensures adherence to budget constraints. Drives and participates in strategic IT initiatives, including corporate technology roadmaps and tooling improvements, and AI and automation adoption. Collaborates with cross-functional teams to execute these initiatives effectively. Ensures compliance with IT policies, procedures, and relevant standards (e.g., GDPR, ISO, SOC2), contributing to a strong IT governance framework. Evaluates and adopts AI and automation tools to improve operational efficiency, ensuring responsible and compliant use in alignment with company policy. Owns corporate security program, including endpoint protection, corporate identity and access management, physical security at HQ, the MSSP relationship, and security awareness and phishing programs. Who You Are Bachelor's degree in Information Technology, Computer Science, or a related field. Advanced degrees or certifications (e.g., CIO, CISM, or similar) are preferred. At least 12 years of experience in senior IT roles with a focus on technology strategy and operations. Deep knowledge of operating systems (Windows, Mac) and basic scripting languages. Strong knowledge of corporate identity and SaaS platforms (e.g., Azure AD/Entra, Microsoft 365, MDM/endpoint management tools). Exceptional leadership skills, with a track record of building and managing high-performing IT teams. Expertise in IT infrastructure management and data protection. In-depth knowledge of emerging technologies — including AI, machine learning, and automation tools — and trends in the commercial real estate and technology sectors is preferred. Experience owning or supporting SOC 2 Type II audits, including control design, evidence collection, and auditor coordination. Background in corporate security operations, including endpoint security, identity and access management, and security vendor oversight. Why Crexi? Rapidly growing startup with a dynamic work environment Flexible team structure with the ability to progress in career Health, Dental, and Vision insurance Collaborative culture and numerous team activities The California base pay range for this position is $182,000 - $247,000 per year with eligibility for generous bonus, equity, and healthcare insurance. The total compensation package offered to a successful candidate will depend on several factors, which may include, but are not limited to, the type and length of experience applicable to the role and within the industry, job-related skills, job level, and geographic location. Commercial Real Estate Exchange, Inc (“Crexi”) is a multi-state employer, and this salary range may not reflect positions that work in other states. Crexi is an EEO Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. Crexi will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law.", "summaryDescription" : "Director, Information Technology at Crexi", "postedDate" : "2026-06-14T19:20:42.410", "createdAt" : "2026-06-14T19:20:42.410", "lastUpdated" : "2026-06-16T02:24:21.260", "ingestTimestamp" : "2026-06-14T19:20:42.410", "mongoId" : "6a2ca67f74d8ee00a09bbd1b", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 182000, "salaryAnnualMax" : 247000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Director", "dataQualityScore" : 0.8888889, "_score" : 883.9582, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Real Estate", "llmIndustryConfidence" : 0.95 } ], "status" : 200, "message" : "OK", "pagination" : { "page" : 0, "limit" : 50, "totalCount" : 72795, "totalPages" : 1456, "hasNext" : true, "hasPrevious" : false } }

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