{ "count" : 80437, "data" : [ { "id" : "6a2ac0ed74d8ee00a06f29ad", "title" : "Associate Director - GBO Decision Support and Analytics COE", "company" : "Bristol Myers Squibb", "salary" : { "min" : 4500000.0, "max" : 7000000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "The estimated salary is based on the market baseline for a Director in the Pharma industry in India, adjusted for seniority, company size, and location." }, "location" : "India", "locations" : [ "India" ], "timestamp" : "2026-06-15T00:09:02.458", "fingerprint" : "d3e4e395a0930d83ead3048a68911caec1532c3fb49141ed7cf649a49d040c45", "source" : "workday", "language" : "en", "applyUrl" : "https://bristolmyerssquibb.wd5.myworkdayjobs.com/BMS/job/Hyderabad---TS---IN/Associate-Director---GBO-Decision-Support-and-Analytics-COE_R1601984", "externalId" : "R1601984", "locationPoint" : "20.5937,78.9629", "structuredLocations" : [ { "country" : "India", "continent" : "as", "workMode" : "onsite" } ], "locationText" : "India", "employmentType" : "FULL_TIME", "experienceLevel" : "Director", "technicalSkills" : "GenAI, Automation, Analytics", "professionalSkills" : [ "Decision support", "Value creation" ], "hardSkillsList" : [ "Data analytics" ], "softSkillsList" : [ "Accountability", "Inclusion", "Integrity" ], "hardSkills" : [ { "name" : "Data analytics", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Accountability" }, { "name" : "Inclusion" }, { "name" : "Integrity" } ], "majorSkills" : "Innovation, Analytics, Emerging technologies", "majorSkillsList" : [ "Innovation", "Analytics", "Emerging technologies" ], "coreResponsibilities" : "Lead innovation incubator, Identify emerging technologies, Pilot emerging technologies, Scale emerging technologies, Unlock new value for Finance, Serve as connective tissue", "teamCollaboration" : "Finance Leadership Team; BI&T", "domainKnowledge" : "Finance", "domainList" : [ "finance" ], "domainSpecificKnowledge" : [ "Finance" ], "outcomesObjectives" : "Unlock new value", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "**Working with Us** Challenging. Meaningful. Life-changing. Those aren’t words that are usually associated with a job. But working at Bristol Myers Squibb is anything but usual. Here, uniquely interesting work happens every day, in every department. From optimizing a production line to the latest breakthroughs in cell therapy, this is work that transforms the lives of patients, and the careers of those who do it. You’ll get the chance to grow and thrive through opportunities uncommon in scale and scope, alongside high-achieving teams. Take your career farther than you thought possible. Bristol Myers Squibb recognizes the importance of balance and flexibility in our work environment. We offer a wide variety of competitive benefits, services and programs that provide our employees with the resources to pursue their goals, both at work and in their personal lives. Read more: [careers.bms.com/working-with-us](https://careers.bms.com/working-with-us). The GBO Decision Support & Analytics COE Leader leads an Innovation Incubator to identify, pilot, and scale emerging technologies (e.g., GenAI, automation, advanced analytics) that unlock new value for Finance, serving as the connective tissue between the Finance Leadership Team (Finance LT) and BI&T. _If you come across a role that intrigues you but doesn’t perfectly line up with your resume, we encourage you to apply anyway. You could be one step away from work that will transform your life and career._ **Uniquely Interesting Work, Life-changing Careers** With a single vision as inspiring as “Transforming patients’ lives through science™ ”, every BMS employee plays an integral role in work that goes far beyond ordinary. Each of us is empowered to apply our individual talents and unique perspectives in a supportive culture, promoting global participation in clinical trials, while our shared values of passion, innovation, urgency, accountability, inclusion and integrity bring out the highest potential of each of our colleagues. **On-site Protocol** BMS has an occupancy structure that determines where an employee is required to conduct their work. This structure includes site-essential, site-by-design, field-based and remote-by-design jobs. The occupancy type that you are assigned is determined by the nature and responsibilities of your role: Site-essential roles require 100% of shifts onsite at your assigned facility. Site-by-design roles may be eligible for a hybrid work model with at least 50% onsite at your assigned facility. For these roles, onsite presence is considered an essential job function and is critical to collaboration, innovation, productivity, and a positive Company culture. For field-based and remote-by-design roles the ability to physically travel to visit customers, patients or business partners and to attend meetings on behalf of BMS as directed is an essential job function. **Supporting People with Disabilities** BMS is dedicated to ensuring that people with disabilities can excel through a transparent recruitment process, reasonable workplace accommodations/adjustments and ongoing support in their roles. Applicants can request a reasonable workplace accommodation/adjustment prior to accepting a job offer. If you require reasonable accommodations/adjustments in completing this application, or in any part of the recruitment process, direct your inquiries to [adastaffingsupport@bms.com](mailto:adastaffingsupport@bms.com). Visit [careers.bms.com/](https://careers.bms.com/eeo-accessibility)[eeo](https://careers.bms.com/eeo-accessibility)[-accessibility](https://careers.bms.com/eeo-accessibility) to access our complete Equal Employment Opportunity statement. **Candidate Rights** BMS will consider for employment qualified applicants with arrest and conviction records, pursuant to applicable laws in your area. If you live in or expect to work from Los Angeles County if hired for this position, please visit this page for important additional information: [https://careers.bms.com/california-residents/](https://careers.bms.com/california-residents/) **Data Protection** We will never request payments, financial information, or social security numbers during our application or recruitment process. Learn more about protecting yourself at [https://careers.bms.com/fraud-protection](http://careers.bms.com/fraud-protection). Any data processed in connection with role applications will be treated in accordance with applicable data privacy policies and regulations. If you believe that the job posting is missing information required by local law or incorrect in any way, please contact BMS at [TAEnablement@bms.com](mailto:TAEnablement@bms.com). Please provide the Job Title and Requisition number so we can review. Communications related to your application should not be sent to this email and you will not receive a response. Inquiries related to the status of your application should be directed to Chat with Ripley. R1601984 : Associate Director - GBO Decision Support and Analytics COE", "summaryDescription" : "Associate Director - GBO Decision Support and Analytics COE at Bristol Myers Squibb. Skills: Innovation, Analytics, Emerging technologies. Lead innovation incubator. Identify emerging technologies", "postedDate" : "2026-06-10T06:42:56.250", "createdAt" : "2026-06-12T06:42:56.201", "lastUpdated" : "2026-06-15T00:09:02.458", "ingestTimestamp" : "2026-06-12T06:42:56.201", "mongoId" : "6a2ac0ed74d8ee00a06f29ad", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://bristolmyerssquibb.wd5.myworkdayjobs.com/BMS/job/Hyderabad---TS---IN/Associate-Director---GBO-Decision-Support-and-Analytics-COE_R1601984", "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Data analytics", "Accountability", "Inclusion", "Integrity", "Innovation", "Analytics", "Emerging technologies", "Decision support", "Value creation", "Finance" ], "skillCount" : 10, "jobCategory" : "customer-service", "seniorityLevel" : "executive", "dataQualityScore" : 1.0, "_score" : 1822.1028, "daysOld" : 4, "hasLocation" : true, "hasGeo" : false }, { "id" : "6a2a660b74d8ee00a062bb77", "title" : "Director, Analytics and Decision Science", "company" : "Audible, Inc.", "industry" : "Finance Accounting, Science, subsidiaries", "salary" : { "min" : 100000.0, "max" : 236900.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Newark, New Jersey, USA", "locations" : [ "Newark, New Jersey, USA" ], "timestamp" : "2026-06-15T03:08:33.431", "fingerprint" : "a7c3ae8b94b8a84b0c96a0a724805259d1556dc2c4b18884b4a7dcc9b396e6ae", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10442437/apply", "externalId" : "0cca02c1-c81a-4c57-bad0-6f556b3742b9", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Newark", "state" : "New Jersey", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "40.7356570,-74.1723667" } ], "locationText" : "Newark, New Jersey, United States", "employmentType" : "FULL_TIME", "experienceLevel" : "Director", "technicalSkills" : "Python, R, SQL, Tableau, Microstrategy", "professionalSkills" : [ "Decision science", "Business intelligence", "Strategic analytics", "Consulting" ], "hardSkillsList" : [ "Causal inference", "Experimental design", "Data modeling" ], "softSkillsList" : [ "Leadership" ], "hardSkills" : [ { "name" : "Causal inference", "level" : "intermediate" }, { "name" : "Experimental design", "level" : "intermediate" }, { "name" : "Data modeling", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" } ], "majorSkills" : "Analytics, Decision Science, Data Products", "majorSkillsList" : [ "Analytics", "Decision Science", "Data Products" ], "coreResponsibilities" : "Drive discussion and decision, Explain insight-driven actions, Predict insight-driven actions, Scenarize insight-driven actions, Deliver technical solutions, Influence business functions, Guide business functions, Automate business functions, Increase business effectiveness, Increase business efficiency, Hold business accountable, Drive continuous improvement, Design measurement frameworks, Build measurement frameworks, Track initiative performance, Track business performance, Frame hypotheses, Frame potential decisions, Develop experimental designs, Leverage cross-functional knowledge, Design decision science initiatives, Lead decision science initiatives, Understand business economics, Identify pain points, Identify opportunities, Provide solutions, Develop in-depth knowledge, Maximize tool potential, Own accuracy of deliveries, Own relevance of deliveries, Own quality of deliveries, Own impact of deliveries, Communicate crisply, Develop compelling presentations, Develop compelling documents", "teamCollaboration" : "Cross-functional knowledge; Business partners; Tech audiences; Non-tech audiences", "projectManagementSkills" : [ "High-stake tasks", "Simultaneous projects" ], "domainKnowledge" : "Digital environment", "domainList" : [ "digital-environment" ], "domainSpecificKnowledge" : [ "Digital environment" ], "toolProficiency" : [ "Tableau", "Microstrategy" ], "communicationSkills" : "Oral communication; Written communication; Executive presentations; Manager presentations", "documentationSkills" : "Documents", "problemSolvingSkills" : "Strategic thinking; Insightful analysis", "outcomesObjectives" : "Influence business functions; Guide business functions; Automate business functions; Increase effectiveness; Increase efficiency; Hold accountable; Drive continuous improvement; Track initiative performance; Track business performance; Focus on results; Focus on execution", "qualificationsBasic" : "Analyzing data to drive decisions, 5+ years relevant experience, Degree in technology or mathematics, Developing data-driven products, Sharing business recommendations, Managing challenging assignments, Experience with Python, Experience with R, Experience with SQL, Experience with Tableau, Experience with Microstrategy", "qualificationsPreferred" : "Advanced degree, MBA, MS, PhD, Experience in large B2C companies, Experience working with C-level leaders", "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. 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 a leader and individual contributor of Audible’s Analytics and Decision Science group, you will drive discussion and decision with our business partners by explaining, predicting, scenarizing, prescribing insight-driven actions with/for both tech and non-tech audiences. You will deliver the right technical solution (analytics- or data-product) to influence, guide, and force-multiply (via automation) our business functions, increase their effectiveness and efficiency, and hold them accountable. You will help drive continuous improvement by designing and building measurement frameworks, and other communications conduits (presentations and documents) to track initiative and business performance, driving focus on results and execution. You will frame hypotheses and potential decisions into a testable structure and develop robust experimental designs. You will leverage deep cross-functional knowledge to be a trusted advisor across a wide range of issues. Alternate locations available: This position can also be located in Audible's Berlin or London hubs. ABOUT YOU You are able to work with minimal instruction and oversight, conduct multiple high-stake tasks and projects simultaneously, and own deliverables end-to-end with limited dependencies on the work of others. You have the ability to think strategically, develop insightful analysis, and frame decisions, and communicate findings concisely to senior leaders in your and other organizations. As a Director, Analytics and Decision Science, you will... - Design and lead hands-on decision science initiatives that support Audible strategy and programs. Use causal inference methods (experimentation and models) to understand the incremental impact of our activity on business performance - Learn and master the intricacies of our economics, understand pain points and opportunities, and provide solutions short-term and long-term - Develop an in-depth knowledge of all relevant data sources, business intelligence technologies, data science, and analytical tools available to maximize their potential. Ensure and own the accuracy, relevance, quality, and impact of your deliveries - Communicate crisply in both oral and written forms for different levels of audiences (Tech, non-Tech, manager to executive) - Develop compelling presentations and documents 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 in analyzing data to drive decisions - 5+ years of relevant experience in the areas of Strategic Analytics, Business Intelligence, Decision Science, or Consulting in a digital environment or in a related field - Degree in technology, mathematics or a related field, speaks of a person who is comfortable in data-centric environments - Experience in developing data-driven products, and sharing business recommendation and their financial/customer impact with the stakeholders - Experience managing challenging assignments with aggressive schedules - Experience with programming languages (such as Python, R, etc.), SQL and visualization tools (Tableau, Microstrategy, etc.) Preferred Qualifications: - Advanced degree, Business (MBA), MS, PhD or equivalent experience - Previous experience in large B2C companies a plus - Experience working with C-level leaders 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 - 175,100.00 - 236,900.00 USD annually", "summaryDescription" : "Director, Analytics and Decision Science at Audible, Inc.. Skills: Analytics, Decision Science, Data Products. Drive discussion and decision. Explain insight-driven actions", "postedDate" : "2026-06-13T08:15:57.478", "createdAt" : "2026-06-13T08:15:57.478", "lastUpdated" : "2026-06-15T03:08:33.431", "ingestTimestamp" : "2026-06-13T08:15:57.478", "mongoId" : "6a2a660b74d8ee00a062bb77", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.jobs/jobs/10442437/apply", "salaryAnnualMin" : 100000, "salaryAnnualMax" : 236900, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Causal inference", "Experimental design", "Data modeling", "Leadership", "Analytics", "Decision Science", "Data Products", "Decision science", "Business intelligence", "Strategic analytics", "Consulting", "High-stake tasks", "Simultaneous projects", "Digital environment", "Tableau", "Microstrategy" ], "skillCount" : 16, "jobCategory" : "sales", "dataQualityScore" : 1.0, "_score" : 1172.8884, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "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. Skills: Data science, Data engineering, ML/AI, Business intelligence", "postedDate" : "2026-06-14T20:04:21.286", "createdAt" : "2026-06-14T20:04:21.286", "lastUpdated" : "2026-06-16T06:59:51.263", "ingestTimestamp" : "2026-06-14T20:04:21.286", "mongoId" : "6a2c6c7c74d8ee00a0919231", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "75k-100k", "hasSalary" : false, "allSkills" : [ "Statistical methods", "Regression", "Classification", "Clustering", "Time-series analysis", "A/B testing", "Causal inference", "Data science", "Data engineering", "ML/AI", "Business intelligence", "Analytics engineering", "Quantitative analysis", "Modelling skills", "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified", "Tableau", "Power BI", "Looker", "Metabase", "Superset", "Qlik", "MicroStrategy" ], "skillCount" : 25, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Manager", "dataQualityScore" : 1.0, "_score" : 1065.3124, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Media", "llmIndustryConfidence" : 0.95 }, { "id" : "6a21ad4a74d8ee00a0cc2909", "title" : "Director of Talent COE", "company" : "Amazon.com Services LLC", "industry" : "Human Resources, global corporate", "salary" : { "min" : 200700.0, "max" : 271600.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Seattle, Washington, USA", "locations" : [ "Seattle, Washington, USA" ], "timestamp" : "2026-06-15T05:46:42.209", "fingerprint" : "2affd0f0a4054acdec8b488064062e086089516f3c9f369bc8291e5167c446e7", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10438014/apply", "externalId" : "f96e4b45-f247-4442-8962-97978d46ab85", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Seattle", "state" : "Washington", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "47.6038321,-122.3300620" } ], "locationText" : "Seattle, Washington, United States", "employmentType" : "FULL_TIME", "experienceLevel" : "Director", "professionalSkills" : [ "Talent Management", "Learning & Development", "Organizational Design", "Effectiveness", "Change Management", "Talent Strategy", "Succession Planning", "Workforce Planning", "Talent Acquisition", "Employee Relations", "Organizational Development" ], "hardSkillsList" : [ "Data analysis", "Talent analytics", "People metrics", "Organizational structure", "Operating models" ], "softSkillsList" : [ "Leadership", "Judgment", "Influence", "Inspire passion" ], "hardSkills" : [ { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Talent analytics", "level" : "intermediate" }, { "name" : "People metrics", "level" : "intermediate" }, { "name" : "Organizational structure", "level" : "intermediate" }, { "name" : "Operating models", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Judgment" }, { "name" : "Influence" }, { "name" : "Inspire passion" } ], "majorSkills" : "Talent Strategy, Organizational Development, Change Management, Leadership Development", "majorSkillsList" : [ "Talent Strategy", "Organizational Development", "Change Management", "Leadership Development" ], "coreResponsibilities" : "Own global Talent Management mechanisms, Define and operationalize talent decision models, Identify top talent across organization, Lead and develop COE team, Ensure Day 1 culture in deliverables, Design and implement L&D strategy, Leverage L&D for talent retention, Lead Organizational Design and Effectiveness initiatives, Advise senior leaders on structure, Optimize operating models, Build and maintain succession pipeline, Spearhead executive talent review processes, Lead High Velocity Transformation team, Drive organizational change plans, Minimize disruption during transformation, Boost adoption and engagement, Reduce resistance during transformation, Mitigate risks during transformation, Own and execute talent retention strategy, Identify flight risk, Utilize data-driven approach, Identify emerging talent trends, Forecast workforce needs, Transform data into actionable insights, Partner with PXT Centers of Excellence, Deliver integrated talent solutions, Communicate big ideas with conviction, Display executive presence, Engage with VP and SVP leaders", "teamCollaboration" : "Senior leadership team; PXT leadership team; HR Business Partners; Central PXT Centers of Excellence; Cross-business talent peers", "projectManagementSkills" : [ "Change Management" ], "domainKnowledge" : "Talent Management; Learning & Development; Organizational Design; Effectiveness; Change Management; High Velocity Transformation; AIGC business lines", "domainList" : [ "talent-management", "learning-development", "organizational-design", "effectiveness", "change-management", "high-velocity-transformation", "aigc-business-lines" ], "domainSpecificKnowledge" : [ "Talent Management", "Learning & Development", "Organizational Design", "Effectiveness", "Change Management", "High Velocity Transformation", "AIGC business lines" ], "communicationSkills" : "Executive presentations; Articulate complex strategies", "problemSolvingSkills" : "Data-driven decision making", "qualificationsBasic" : "15+ years leadership experience in Talent Management, L&D, OD&E, Change Management, or HRBP, 8+ years leading high-performing teams, Experience building and scaling a Center of Excellence or multi-functional talent organization, Prior experience driving organizational transformation", "qualificationsPreferred" : "Master's degree or MBA, Industrial/Organizational Psychology degree", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "THE POSITION SUMMARY Amazon's Advertising, IMDb, and Grand Challenge (AIGC) organization represents one of Amazon's fastest growing and most dynamic business portfolios. Amazon Advertising helps brands design ad experiences that delight customers and deliver meaningful results, operating across sponsored ads, display, video, and custom advertising solutions globally. IMDb is the world's most popular and authoritative source for information on movies, TV shows, and celebrities, reaching hundreds of millions of users worldwide. Grand Challenge is Amazon's forward-looking innovation group focused on solving complex, large-scale problems through technology and science. Together, AIGC combines the scale of advertising technology, the cultural influence of entertainment data, and the ambition of moonshot innovation, creating a uniquely complex and high-growth talent landscape. The Director, PXT COE for AIGC will be based in Seattle, WA and will report to the Vice President of PXT for AIGC. This is a critical leadership role within the AIGC People, eXperience & Technology (PXT) (PXT=HR) organization responsible for developing and executing a comprehensive, global talent strategy that enables AIGC to attract, develop, and retain the leadership talent needed to fuel continued growth and innovation. This leader will own and integrate four functional areas: Learning & Development (L&D), Talent Management, Organizational Design & Effectiveness, and a High Velocity Transformation (HVT) team focused on Change Management. The Director will evolve and lead a unified Center of Excellence that drives talent innovation, accelerates leadership readiness, and ensures organizational agility across AIGC's diverse and rapidly evolving business lines. This role requires a strategic, data-driven executive who can operate at the intersection of business strategy and people strategy, translating complex organizational challenges into scalable talent solutions that deliver measurable business impact. The successful candidate will partner closely with AIGC's senior leadership team, AIGC’s PXT leadership team, HR Business Partners, and Amazon's central PXT Centers of Excellence (including Global Talent Management & Compensation, Central Sciences, Talent Acquisition, and Inclusive Experiences & Technology) to deliver integrated, employee-centric frameworks and mechanisms. This leader will engage frequently with VP and SVP-level executives to gain buy-in on strategic initiatives, drive adoption of enterprise-wide tools and programs, and ensure AIGC's talent practices are both locally relevant and globally aligned. Key job responsibilities RESPONSIBILITIES Responsibilities for the role include: • Own the unified cadence of global Talent Management mechanisms across AIGC, including talent reviews, succession planning, critical role mapping, executive promotions, and talent movement; define and operationalize the mental models that drive consistent, calibrated talent decisions and identify the top talent across the organization • Lead and develop a high-performing COE team spanning four functional areas: Learning & Development, Talent Management, Organizational Design & Effectiveness, and High Velocity Transformation (Change Management) • Ensure Day 1 culture is built into all COE deliverables focusing on operating with speed, innovation, and eliminating bureaucracy • Design and implement a comprehensive Learning & Development strategy that accelerates time to proficiency, builds leadership capability, and creates targeted upskilling programs that foster an \"economy of experiences\" across AIGC; leverage L&D as a key lever for top-talent retention and differentiated development of high-potential populations • Lead Organizational Design and Effectiveness initiatives, advising senior leaders on organizational structure, workforce planning, and how teams work together; maintain a heavy partnership with OD and HR Line leaders to remove barriers, reduce friction, and optimize operating models that support AIGC's growth trajectory • Build and maintain a robust succession pipeline for leadership and critical roles, including health and activation of succession plans with clear development actions, readiness timelines, and contingency options; spearhead executive talent review processes and strengthen the leadership bench across all AIGC business lines • Lead the High Velocity Transformation (HVT) team — a dedicated Change Management function that drives organizational change plans, minimizes disruption, boosts adoption and engagement, reduces resistance, and mitigates risks during periods of rapid growth and transformation • Own and execute a proactive top-talent retention strategy, shifting from reactive saves to early identification of flight risk and targeted engagement interventions; utilize a data-driven approach with strong analytics and people metrics to identify emerging talent trends, forecast workforce needs, and transform complex data into actionable insights for executive stakeholders • Partner with PXT Centers of Excellence, HR Business Partners, and cross-business talent peers to deliver integrated talent solutions that leverage shared best practices and accelerate execution and scalability • Communicate big ideas and tactical actions with conviction to executive leaders; display executive presence while frequently engaging with VP and SVP-level leaders across AIGC to gain buy-in and Earn Trust on strategic talent initiatives Basic Qualifications: • 15+ years of progressive leadership experience in Talent Management, Learning & Development, Organizational Design & Effectiveness, Change Management, and/or HR Business Partner roles • 8+ years leading and developing high-performing teams, with experience building and scaling a Center of Excellence or multi-functional talent organization • Prior experience driving organizational transformation and change management in high-growth, global technology environments with diverse workforces Preferred Qualifications: THE CANDIDATE The ideal candidate is a strategic, results-oriented talent executive who brings deep expertise across multiple talent disciplines and has a proven track record of building and scaling talent functions in high-growth, technology-driven environments. This leader must be equally comfortable setting long-term vision and diving deep into execution as well as someone who can Think Big about the future of AIGC's talent landscape while delivering practical, measurable solutions today. This individual will have demonstrated success leading teams through ambiguity and rapid change, with particular strength in standing up new capabilities, integrating disparate talent functions into a cohesive COE, and driving adoption of enterprise-wide talent systems and tools. They will bring a scientific mindset to talent management, forming hypotheses, testing with data, and iterating based on results. The successful candidate will be a trusted advisor to senior business leaders, with exceptional communication and influencing skills that enable them to build credibility, navigate complex stakeholder environments, and drive alignment across multiple business lines with competing priorities. Background will include: PREFERRED EXPERIENCE • Master's degree in Human Resources Management, Organizational Development, Industrial/Organizational Psychology, and/or an MBA highly preferred • Strong communication skills to articulate complex strategies to executive leadership and gain buy-in across multiple business lines • Well versed in science and the ability to translate research into Talent Management strategies and action • Experience in organizational design and effectiveness, including workforce planning and site strategy • Experience standing up and leading change management or transformation functions • Proven track record in succession planning and executive talent pipeline development • Experience designing and scaling Learning & Development programs that accelerate leadership readiness • Development of cutting-edge and forward-thinking Talent Management strategies in fast-paced, ambiguous environments • Strong data analysis skills and ability to leverage analytics to drive complex business decisions • Experience working across multiple business lines with varying maturity levels and talent needs LEADERSHIP CAPABILITIES Professional traits that are not unique to this position, but necessary for Amazon leaders: • Thinks big and has convictions • Expects and requires innovation of her/his team • Exhibits excellent judgment • Influences through data and metrics • Hires great people. Develops great people • Has relentlessly high standards • Able to push and drive for resolution • Thinks strategically, but dives deep transactionally and executes with precision • Results oriented • Has the innate ability to inspire passion in others • Deals well in ambiguous environments 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, NY, New York - 220,800.00 - 298,700.00 USD annually USA, WA, SEATTLE - 200,700.00 - 271,600.00 USD annually", "summaryDescription" : "Director of Talent COE at Amazon.com Services LLC. Skills: Talent Strategy, Organizational Development, Change Management, Leadership Development. Own global Talent Management mechanisms. Define and operationalize talent decision models", "postedDate" : "2026-06-13T11:31:58.391", "createdAt" : "2026-06-13T11:31:58.391", "lastUpdated" : "2026-06-15T05:46:42.209", "ingestTimestamp" : "2026-06-13T11:31:58.391", "mongoId" : "6a21ad4a74d8ee00a0cc2909", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.jobs/jobs/10438014/apply", "salaryAnnualMin" : 200700, "salaryAnnualMax" : 271600, "salaryBand" : "200k+", "hasSalary" : true, "allSkills" : [ "Data analysis", "Talent analytics", "People metrics", "Organizational structure", "Operating models", "Leadership", "Judgment", "Influence", "Inspire passion", "Talent Strategy", "Organizational Development", "Change Management", "Leadership Development", "Talent Management", "Learning & Development", "Organizational Design", "Effectiveness", "Succession Planning", "Workforce Planning", "Talent Acquisition", "Employee Relations", "High Velocity Transformation", "AIGC business lines" ], "skillCount" : 23, "jobCategory" : "human-resources", "dataQualityScore" : 1.0, "_score" : 1015.6736, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Advertising, Entertainment, Technology" }, { "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" : 951.89185, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Biotech", "llmIndustryConfidence" : 0.95 }, { "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. 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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. Define business questions. Inform business decisions", "createdAt" : "2026-06-16T00:28:48.425", "lastUpdated" : "2026-06-16T10:43:32.070", "ingestTimestamp" : "2026-06-16T00:28:48.425", "mongoId" : "6a305930f292fd229cf45a27", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 85000, "salaryAnnualMax" : 130000, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ "Data interpretation", "Data structuring", "Data pulling", "Direct communication", "BizOps", "Analytics", "Problem solving", "First principles thinking", "Analytical problem solving", "Data analysis", "Metrics definition", "Report building", "Experiment design", "Insight generation", "Decision driving", "End-to-end execution", "Car ownership", "Home ownership", "Motorcycle ownership", "RV ownership", "SQL", "Clickhouse", "Metabase", "Python", "Jupyter Hub", "GitHub" ], "skillCount" : 26, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Junior", "dataQualityScore" : 0.7777778, "_score" : 885.5853, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c8d6f74d8ee00a0978f92", "title" : "Senior Decision Scientist, Product Analytics", "company" : "Ibotta", "industry" : "Shared Services Job Group", "salary" : { "min" : 97000.0, "max" : 118000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Hybrid - Denver", "locations" : [ "Hybrid - Denver" ], "certifications" : [ "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified" ], "timestamp" : "2026-06-15T21:37:27.909", "fingerprint" : "6a1489b1dc12ed5276396969699744db2a4c902954b13a8d2e53d1a8285c62b6", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/ibotta/be2bc6b2-85d6-407a-9d0f-2fd755645f28/application", "externalId" : "be2bc6b2-85d6-407a-9d0f-2fd755645f28", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Denver", "state" : "Colorado", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "39.7392364,-104.9848620" } ], "locationText" : "Denver, Colorado, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "SQL, Python, R, Spark, Snowflake, BigQuery, Redshift, Databricks, Dbt, Fivetran, Airflow, Scikit-learn, TensorFlow, PyTorch, XGBoost, LightGBM, Hugging Face, MLflow, AWS, GCP, Azure", "professionalSkills" : [ "Data modeling", "Statistical analysis", "Machine learning", "Experiment design", "Causal inference" ], "hardSkillsList" : [ "Data warehousing", "ETL processes", "Statistical modeling", "Machine learning modeling", "Experimentation" ], "hardSkills" : [ { "name" : "Data warehousing", "level" : "intermediate" }, { "name" : "ETL processes", "level" : "intermediate" }, { "name" : "Statistical modeling", "level" : "intermediate" }, { "name" : "Machine learning modeling", "level" : "intermediate" }, { "name" : "Experimentation", "level" : "intermediate" } ], "majorSkills" : "Data Science, Machine Learning, Product Analytics, Data Engineering", "majorSkillsList" : [ "Data Science", "Machine Learning", "Product Analytics", "Data Engineering" ], "coreResponsibilities" : "Develop and implement machine learning models, Design and execute A/B tests, Analyze product performance, Build and maintain data pipelines, Collaborate with product managers, Communicate findings to stakeholders, Develop dashboards and reports, Mentor junior data scientists", "teamCollaboration" : "Product managers; Engineering teams; Marketing teams; Business stakeholders", "domainKnowledge" : "E-commerce analytics; Customer behavior analysis; Product development lifecycle", "domainList" : [ "e-commerce-analytics", "customer-behavior-analysis", "product-development-lifecycle" ], "domainSpecificKnowledge" : [ "E-commerce analytics", "Customer behavior analysis", "Product development lifecycle" ], "toolProficiency" : [ "Tableau", "Power BI", "Looker", "Metabase", "Superset", "Qlik", "MicroStrategy", "SageMaker", "Vertex AI", "ML Studio" ], "communicationSkills" : "Stakeholder communication; Technical presentations", "documentationSkills" : "Technical documentation", "problemSolvingSkills" : "Analytical problem solving", "qualificationsBasic" : "5+ years of experience, Bachelor's degree, SQL proficiency, Experience with Python or R, Experience with data warehousing", "qualificationsPreferred" : "Master's degree or PhD, Experience with cloud platforms, Experience with ML frameworks, Experience with A/B testing, Experience with causal inference", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "Ibotta is seeking a Senior Decision Scientist to join our innovative team and contribute to our mission to Make Every Purchase Rewarding. With over 50 people, Ibotta’s Analytics team uses the latest developments not only in our core technical capabilities such as statistics, machine learning, testing methodologies, and data engineering, but also in the broader aspects of an analytics organization such as minimizing technical debt, increasing organizational data literacy, and developing analytics leadership, making Ibotta a place where individuals at all levels can learn and grow their careers. As a Senior Decision Scientist, you will be responsible for providing actionable and data-driven recommendations to internal and external stakeholders. You’ll have the opportunity to work alongside talented individuals and understand the business in-depth, support and challenge strategic options, and build state-of-the-art tools to improve our largest line of business. This position is located in Denver, Colorado as a hybrid position requiring 3 days in office (Tuesday, Wednesday, and Thursday). Candidates must live in the United States. Not based in Denver? We will offer a relocation bonus to help make your move to the Mile High City a smooth one. What you will be doing: - Leading projects to build causal inference models (A/B testing), automation of existing reports and deliverables, machine learning models, root cause analysis of upstream data issues, and market analysis case studies - Working cross-functionally to analyze large amounts of behavioral and transaction data to provide clients with actionable insights about Ibotta’s users and campaign performance - Communicating complex analyses and data intricacies in a clear, concise manner both internally as well as to external clients - Serving as a leader for the ideation, development, and support on strategic initiatives including statistical modeling and advanced analytics within the team - Mentoring other members of the team - Embrace and uphold Ibotta’s Core Values: Integrity, Boldness, Ownership, Teamwork, Transparency & A good idea can come from anywhere What we are looking for: - 5+ years of practical work experience in Analytics - Bachelor’s degree in Computer Science, Engineering or a related field - Moderate to advanced knowledge of common data science software development packages (Python, R, etc.) and their relevant libraries, along with strong SQL and proven data wrangling and feature engineering skills - Ability to drive projects end-to-end with minimal guidance/oversight, with examples of high-quality output that provide actionable, business-focused insights and recommendations - Initiative to proactively anticipate and solve important problems - Ability to communicate complex analytical concepts clearly and concisely both in written form and verbally to both technical and non-technical audiences, with a track record of strong partnerships with key stakeholders and clients across multiple functions - 5+ years of practical work experience in Analytics About Ibotta (\"I bought a...\") Ibotta (NYSE: IBTA) is a leading performance marketing platform allowing brands to deliver digital promotions to over 200 million consumers through a network of publishers called the Ibotta Performance Network (IPN). The IPN allows marketers to influence what people buy, and where and how often they shop – all while paying only when their campaigns directly result in a sale. American shoppers have earned over $2.6 billion through the IPN since 2012. The largest tech IPO in history to come out of Colorado, Ibotta is headquartered in Denver, and is continually listed as a top place to work by The Denver Post and Inc. Magazine. To learn more about what our Tech teams are doing day to day, visit Building Ibotta on https://medium.com/building-ibottaMedium.com http://Medium.com. - This position is located in Denver, CO and includes competitive pay, flexible time off, benefits package (including medical, dental, vision), Employee Stock Purchase Program, and 401k match. Denver office perks include paid parking, snacks and occasional meals. - Base compensation range: $97,000 - $118,000. Total compensation for this role also includes a variable component in addition to base salary. Equity is included in overall compensation package. This compensation range is specific to the United States labor market and may be adjusted based on actual experience. - Ibotta is an Equal Opportunity Employer. Ibotta’s employment decisions are made without regard of race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, sexual orientation, or any other legally protected status. - Applicants must be currently authorized to work in the United States on a full-time basis. - Applicants are accepted until the position is filled. - For the security of our employees and the business, all employees are responsible for the secure handling of data in accordance with our security policies, identifying and reporting phishing attempts, as well as reporting security incidents to the proper channels. Recruiting Agency Notice Ibotta does not accept agency resumes and is not responsible for any fees related to unsolicited resumes. Please do not forward resumes to any Ibotta employees. #LI-Hybrid #BI-Hybrid", "summaryDescription" : "Senior Decision Scientist, Product Analytics at Ibotta. Skills: Data Science, Machine Learning, Product Analytics, Data Engineering. Develop and implement machine learning models. 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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 - 2+ 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" : "Senior Associate, BizOps & Analytics at Jerry.ai. Skills: BizOps, Analytics, Data insights, Decision making. Define business questions. Define metrics", "createdAt" : "2026-06-16T00:30:02.013", "lastUpdated" : "2026-06-16T12:04:26.325", "ingestTimestamp" : "2026-06-16T00:30:02.013", "mongoId" : "6a305930f292fd229cf45a28", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 130000, "salaryAnnualMax" : 150000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Data analysis", "Metrics definition", "Report building", "Experiment design", "Direct communicator", "BizOps", "Analytics", "Data insights", "Decision making", "First principles thinking", "Analytical problem solving", "Car insurance", "Home insurance", "Motorcycle insurance", "RV insurance", "SQL", "Metabase", "Python", "Jupyter Hub", "GitHub" ], "skillCount" : 20, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Junior", "dataQualityScore" : 0.8888889, "_score" : 856.3226, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "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" : 820.1974, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Education", "llmIndustryConfidence" : 0.95 }, { "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" : 804.95496, "daysOld" : 3, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Pharma", "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" : 804.83405, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2c938f74d8ee00a09885e7", "title" : "COE Specialist", "company" : "Ocado Group", "industry" : "Technology", "salary" : { "min" : 6500000.0, "max" : 9000000.0, "currency" : "JPY", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level COE Specialist in Tokyo, Japan, adjusted for the E-Commerce industry and Ocado Group's company size." }, "location" : "Tokyo - Hibiya Fort Tower - Contact Centre", "locations" : [ "Tokyo - Hibiya Fort Tower - Contact Centre" ], "timestamp" : "2026-06-15T10:45:58.885", "fingerprint" : "a94f3c23c6a17a208204afd47c08c7eb65791b2745b1ec85c00f9558972a23f5", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://careers.ocadogroup.com/jobs/details?gh_jid=4427666101&gh_jid=4427666101", "externalId" : "4427666101", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Tokyo", "country" : "Japan", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "35.6768601,139.7638947" } ], "locationText" : "Tokyo, Japan", "technicalSkills" : "Hardware support, Software support, Networking support", "professionalSkills" : [ "Process management", "Cross-functional coordination", "Vendor management", "Stakeholder management", "Operational metrics", "Resource planning", "Continuous improvement" ], "hardSkillsList" : [ "Incident management", "Fault identification", "Fault resolution", "Performance analysis", "Ticketing management", "Task investigation", "Stock investigation", "Tote investigation", "Pick support issues" ], "hardSkills" : [ { "name" : "Incident management", "level" : "intermediate" }, { "name" : "Fault identification", "level" : "intermediate" }, { "name" : "Fault resolution", "level" : "intermediate" }, { "name" : "Performance analysis", "level" : "intermediate" }, { "name" : "Ticketing management", "level" : "intermediate" }, { "name" : "Task investigation", "level" : "intermediate" }, { "name" : "Stock investigation", "level" : "intermediate" }, { "name" : "Tote investigation", "level" : "intermediate" }, { "name" : "Pick support issues", "level" : "intermediate" } ], "majorSkills" : "System operations, Incident resolution, Technical support", "majorSkillsList" : [ "System operations", "Incident resolution", "Technical support" ], "coreResponsibilities" : "Monitor business systems operations, Ensure effective coverage of services, Manage logged incidents, Identify system faults, Raise system faults, Pickup incidents, Respond to incidents, Manage system faults, Analyse performance of assets, Act as technical point of contact, Manage ticketing progress, Prioritise bot recoveries, Arrange recovery windows, Investigate failed tasks, Investigate inaccessible stock, Investigate inaccessible totes, Communicate for visibility, Communicate for fast resolution, Highlight pick support issues, Resolve pick support issues, Resolve engineering issues, Complete engineering tasks, Liaise with technology teams, Achieve desired outcome, Be point of contact for queries", "teamCollaboration" : "Onsite systems support specialists; Onsite and offsite teams; Other technology teams", "domainKnowledge" : "ITIL; Infrastructure; OSI model", "domainList" : [ "itil", "infrastructure", "osi-model" ], "domainSpecificKnowledge" : [ "ITIL", "Infrastructure", "OSI model" ], "communicationSkills" : "Technical updates; Technical requests", "documentationSkills" : "Follow documentation; Create documentation; Follow processes; Create processes; Follow procedures; Create procedures", "problemSolvingSkills" : "Analytical skills; Problem solving skills", "specialRequirements" : "Team shift pattern, Cover business operations 24x7", "outcomesObjectives" : "Ensure business systems operational; Ensure efficient service delivery; Minimise impact to customers", "qualificationsBasic" : "Experience in technical support, Experience in hardware support, Understanding of computing configurations, Understanding of ITIL, Understanding of infrastructure, Understanding of OSI model, Experience in technical support/incident management", "qualificationsPreferred" : "Stakeholder engagement at all levels, Technical updates and requests, Time management and organizational skills, Analytical and problem solving skills, Drive and progress situation, Engage effectively with business staff, Meet business requirements, Ability to follow documentation, Ability to create documentation, Ability to follow processes, Ability to create processes, Ability to follow procedures, Ability to create procedures, Technical communication ability, Analytical and problem solving skills, Ability to learn quickly, Ability to think quickly, Hands on when required, Manage and resolve technical incidents, Hardware, software, and networking incidents", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Ocado Technology is building the next-generation grocery ecommerce suite that´s changing the way the world shops. Ocado Group is a technology-led, global, software and robotics platform business, with a strong retail heritage. Ocado has been at the forefront of innovation in the online grocery industry since it was founded in 2000. Its retail business, Ocado.com, is one of the world’s largest online-only supermarkets with over £2,2bn annual revenue and over 795,000 active customers. The COE Specialist will be responsible to ensure relevant business systems are fully operational ensuring an efficient service to Ocado’s customers and clients and to avoid or minimise any impact to customers following system outages or incidents. This is an onsite based role, at the heart of Tokyo, and will take part in a team shift pattern to cover & support business operations 24x7. Roles & Responsibilities Monitoring business systems operations Working within a team of on site systems support specialists during your shift, to ensure effective coverage of services by the team Resolution, escalation and management of logged incidents Working within the health & safety policies laid out by the company Identifying and raising system faults in appropriate systems Ensuring the timely pickup and response to incidents from assigned teams Managing system faults towards a timely resolution Analyse the performance of key on site assets Technical point of contact for onsite and off site teams Managing the ticketing progress for Technical support services Prioritising bot recoveries and arranging recovery windows Investigate failed tasks and inaccessible stock and customer totes Communicating with relevant parties to ensure visibility and a fast resolution Highlighting and resolving pick support issues Working closely with engineering to resolve engineering issues and complete certain engineering tasks Liaising closely with other technology teams within Ocado to achieve the desired outcome and be a point of contact for related queries Skills experience Able to engage with the stakeholders at all levels to provide technical updates and engage with technical requests Strong time management and organisational skills. Strong analytical and problem solving skills Experience in a technical support capacity. Experience in hardware support A good understanding of computing configurations, ITIL, infrastructure and the OSI model Able to drive and progress a situation towards a timely resolution Able to engage effectively and efficiently with business staff at all levels, ensuring work is progressed in a timely fashion meeting business requirements Ability to follow and create documentation, processes and procedures Strong technical communication ability Strong analytical and problem solving skills Ability to learn and think quickly as well as being very hands on when required Experience in a technical support / incident management role Ability to manage and resolve technical incidents in hardware, software and networking #LI-AK1", "summaryDescription" : "COE Specialist at Ocado Group. Skills: System operations, Incident resolution, Technical support. Monitor business systems operations. Ensure effective coverage of services", "postedDate" : "2026-06-13T22:20:07.653", "createdAt" : "2026-06-13T22:20:07.653", "lastUpdated" : "2026-06-15T10:45:58.885", "ingestTimestamp" : "2026-06-13T22:20:07.653", "mongoId" : "6a2c938f74d8ee00a09885e7", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Incident management", "Fault identification", "Fault resolution", "Performance analysis", "Ticketing management", "Task investigation", "Stock investigation", "Tote investigation", "Pick support issues", "System operations", "Incident resolution", "Technical support", "Process management", "Cross-functional coordination", "Vendor management", "Stakeholder management", "Operational metrics", "Resource planning", "Continuous improvement", "ITIL", "Infrastructure", "OSI model" ], "skillCount" : 22, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Mid", "dataQualityScore" : 0.7777778, "_score" : 803.2791, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "E-Commerce", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2cafed74d8ee00a09d83ce", "title" : "Director of Product - Data Platform and Decision Tooling", "company" : "Skyscanner", "industry" : "Product", "location" : "London", "locations" : [ "London" ], "timestamp" : "2026-06-15T09:58:14.336", "fingerprint" : "1141533a0ea2a9896faa30a62c944cb0be691492717a7ccd0019375ea41bcbde", "source" : "ashby", "applyUrl" : "https://jobs.ashbyhq.com/skyscanner/64c47211-cf25-4747-b3d6-848fecb0f39a/application", "externalId" : "64c47211-cf25-4747-b3d6-848fecb0f39a", "industryFunction" : { }, "structuredLocations" : [ { "city" : "London", "country" : "United Kingdom", "continent" : "eu", "source" : "llm", "workMode" : "hybrid" } ], "locationText" : "London, United Kingdom", "employmentType" : "FULL_TIME", "experienceLevel" : "Director", "technicalSkills" : "ML", "professionalSkills" : [ "Data platform, AI platform, product engineering, analytics, data science, business teams." ], "hardSkillsList" : [ "ML" ], "softSkillsList" : [ "curious, caring, cross-functional" ], "hardSkills" : [ { "name" : "ML", "level" : "intermediate" } ], "softSkills" : [ { "name" : "curious, caring, cross-functional" } ], "majorSkills" : "Platform leadership, Product judgement, Commercial impact, Data platform, ML", "majorSkillsList" : [ "Platform leadership, Product judgement, Commercial impact, Data platform, ML" ], "coreResponsibilities" : "Owning a trusted data platform, making experimentation fly, powering production-ready ML, enabling AI-assisted self-serve analytics, building for agentic data engineering, scaling data delivery, making quality visible, shaping the operating model, and turning platform work into impact.", "teamCollaboration" : "Build alignment across product, engineering, AI, analytics, data science, and business teams, while keeping boundaries clear and useful.", "communicationSkills" : "Direct", "documentationSkills" : "documentation", "innovationCreativity" : "Shape the future state, zoom out to shape the future state, then zoom in to unblock teams, sharpen priorities, and get the platform humming.", "problemSolvingSkills" : "system design; debugging; algorithms", "specialRequirements" : "Must be able to work in Barcelona, Edinburgh or London. Commitment to building an inclusive workplace and accessible products. Reasonable adjustments or accommodations for interviews are available.", "outcomesObjectives" : "Connect technical investment to outcomes like experimentation velocity, personalization, revenue impact, cost control, and better product decisions.", "qualificationsBasic" : "Platform leader at scale, product-minded and commercially sharp, confident with data-powered products, quality and ownership obsessed, cross-functional by nature, direct and pacey, strategic but sleeves-rolled-up.", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "About Skyscanner Everyone loves travelling, but planning is not without its challenges ✈️. That's why we've spent 20 years building tools that turn travel-planning chaos into a breeze. Today, around 160 million travellers count on us every month to skip the whole “47 browser tabs open” phase and find flights, cars, and hotels quickly and easily \uD83D\uDCBB. Joining Skyscanner means becoming part of a global brand that's striving to become the planet's go-to travel hack accessible for all \uD83C\uDF0D. Our vision? To be the world's number one travel ally. (Ambitious? \uD83D\uDCAA Yes, but, hey, that's what got us here) About the role (Hybrid) Data has been at the heart of Skyscanner’s decision-making for over 20 years, and now our platform capability is stepping into an even bigger spotlight. You’ll own the foundations that help us turn data into trusted decisions, personalised product experiences, and measurable business impact at scale. You’ll keep today’s platform dependable while building what comes next: faster experimentation, production-ready ML and decisioning, stronger data quality, clearer ownership, and scalable delivery that does not need a small army to keep it moving. Think platform leadership, product judgement, commercial impact, and just enough travel chaos to keep things interesting. Inspired by the structure and tone of the example JDs. You can be based in Barcelona, Edinburgh or London where we adopt a hybrid working policy of working in the office twice a week. What you’ll be doing - Owning a trusted data platform: You’ll lead the reliability, usability, governance, and economic performance of the platform the whole data organisation depends on. - Making experimentation fly: You’ll ensure product teams can test, learn, and make decisions quickly, with clean assignment, accurate exposure capture, and confidence in the numbers. - Powering production-ready ML: You’ll help data and ML signals move from promising ideas to dependable traveller-facing experiences, without bespoke rework every time. - Enabling AI-assisted self-serve analytics: You’ll help create the foundations for teams to ask better questions, find trusted answers faster, and consume analytics through AI-native experiences grounded in governed metrics, clear definitions, and reusable knowledge. - Building for agentic data engineering: You’ll shape how AI and automation can support data engineering workflows, from discovery and documentation to pipeline development, testing, monitoring, incident response, and faster delivery of trusted data products. - Scaling data delivery: You’ll strengthen how data is moved, transformed, maintained, and served, so Skyscanner can support more use cases without scaling complexity at the same speed. - Making quality visible: You’ll turn data quality into a managed organisational capability, with clear ownership, measurable health, and faster issue detection and resolution. - Shaping the operating model: You’ll define the interfaces between data platform, AI platform, product engineering, analytics, data science, and business teams. - Turning platform work into impact: You’ll connect technical investment to outcomes like experimentation velocity, personalisation, revenue impact, cost control, and better product decisions. About you - Platform leader at scale: You’ve led business-critical platforms that many teams rely on, and you know how to make shared infrastructure trusted, adopted, and economically sustainable. - Product-minded and commercially sharp: You connect platform choices to company priorities, from revenue impact and product learning to operational risk and ROI. - Confident with data-powered products: You’ve enabled experimentation, ML, decisioning, or similar capabilities where data moves into real product experiences. - Quality and ownership obsessed: You know how to make standards, measurement, accountability, and support models stick without wrapping everyone in red tape. - Cross-functional by nature: You build alignment across product, engineering, AI, analytics, data science, and business teams, while keeping boundaries clear and useful. - Direct and pacey: You move with the speed the business needs, make decisions with incomplete information, and are honest when something is not working. - Strategic but sleeves-rolled-up: You can zoom out to shape the future state, then zoom in to unblock teams, sharpen priorities, and get the platform humming. What it's like here We are the real deal https://www.skyscanner.net/jobs/life— no corporate gloss, no empty promises. Just a team of genuinely curious, caring humans ❤️, building things that help travellers explore the world a little easier \uD83E\uDDED. Skyscanner is made up of brilliant humans from every corner of the world. We believe travel makes the world better — and that the same is true of our diverse teams. We're proud to be an equal opportunities employer and are committed to building an inclusive workplace where everyone can thrive and products that are accessible to all https://www.skyscanner.net/jobs/esg ✨. Sound like your kind of adventure? \uD83D\uDE80 Apply now and help us shape the future of travel. We're committed to ensuring our application and recruitment processes are inclusive and accessible to everyone. If you require any reasonable adjustments or accommodations for interviews, and/or wish to apply under the Disability Confident https://www.skyscanner.net/news/a-disability-confident-employer scheme, please let your recruiter know. If you’d like more information on any of our policies, such as hybrid working or Parental Leave policies (typically we pay a minimum of 24 weeks birth parent/maternity leave globally), our recruitment team can provide more information on these. ", "summaryDescription" : "Director of Product - Data Platform and Decision Tooling at Skyscanner. Skills: Platform leadership, Product judgement, Commercial impact, Data platform, ML. Owning a trusted data platform, making experimentation fly, powering production-ready ML, enabling AI-assisted self-serve analytics, building for agentic data engineering, scaling data delivery, making quality visible, shaping the operating model, and turning platform work into impact.", "createdAt" : "2026-06-14T20:17:27.024", "lastUpdated" : "2026-06-15T09:58:14.336", "ingestTimestamp" : "2026-06-14T20:17:27.024", "mongoId" : "6a2cafed74d8ee00a09d83ce", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "hasSalary" : false, "allSkills" : [ "ML", "curious, caring, cross-functional", "Platform leadership, Product judgement, Commercial impact, Data platform, ML", "Data platform, AI platform, product engineering, analytics, data science, business teams." ], "skillCount" : 4, "jobCategory" : "product", "jobSubcategory" : "product_management", "seniorityLevel" : "Director", "dataQualityScore" : 0.7777778, "_score" : 790.04144, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "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. 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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. 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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. 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Work with product counterparts; Work with growth counterparts; Work with finance counterparts; Work with operations counterparts", "domainKnowledge" : "Car insurance; Driving insights; Diagnostics; Repair marketplace; Home ownership", "domainList" : [ "car-insurance", "driving-insights", "diagnostics", "repair-marketplace", "home-ownership" ], "domainSpecificKnowledge" : [ "Car insurance", "Driving insights", "Diagnostics", "Repair marketplace", "Home ownership" ], "toolProficiency" : [ "SQL", "Clickhouse", "Metabase", "Python", "Jupyter Hub", "GitHub" ], "communicationSkills" : "Direct communication; Precise speaking; Clear writing; Persuasive communication", "problemSolvingSkills" : "First principles thinking; Break ambiguous problems; Formulate hypotheses", "outcomesObjectives" : "Grow from 5M to 50M customers; Become a $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, Own ambiguous analytical problems, Drive analytical problems to outcome, Clear communicator, Persuasive communicator, Influence leadership decisions", "remoteFriendly" : true, "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, a repair marketplace, and home. 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 MBB 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 driving 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 adding a few new members 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 here 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. You 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 product or 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 analytical problems and driving them to a business outcome. - 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. Define business questions. 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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.. 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"industryFunction" : { }, "structuredLocations" : [ { "city" : "San Francisco", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "37.7879363,-122.4075201" } ], "locationText" : "San Francisco, California, United States", "employmentType" : "FULL_TIME", "technicalSkills" : "Excel, SQL, Python", "professionalSkills" : [ "Process management", "Cross-functional coordination", "Vendor management", "Stakeholder management", "Operational metrics", "Resource planning", "Continuous improvement" ], "hardSkillsList" : [ "Data analysis", "Experiment design" ], "hardSkills" : [ { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Experiment design", "level" : "intermediate" } ], "majorSkills" : "BizOps, Analytics, Problem solving", "majorSkillsList" : [ "BizOps", "Analytics", "Problem solving" ], "coreResponsibilities" : "Define business questions, Inform business decisions, Define metrics, Build reports, Run analyses, Design experiments, Surface data insights, Bring recommendations to counterparts, Tell what is happening, Tell why it is happening, Tell what next steps should be", "teamCollaboration" : "Embedded in business unit; Work with product; Work with growth; Work with finance; Work with operations", "domainKnowledge" : "Car ownership; Home ownership; Physical assets", "domainList" : [ "car-ownership", "home-ownership", "physical-assets" ], "domainSpecificKnowledge" : [ "Car ownership", "Home ownership", "Physical assets" ], "toolProficiency" : [ "Clickhouse", "Metabase", "Jupyter Hub", "GitHub" ], "communicationSkills" : "Direct communication; Clear writing; Precise speaking", "problemSolvingSkills" : "First principles thinking; Analytical problem solving", "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, Own ambiguous analytical problems, Drive analytical problems to outcome, Clear communicator, Persuasive communicator, Influence leadership decisions", "remoteFriendly" : true, "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, a repair marketplace, and home. 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 MBB 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 driving 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 adding a few new members 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 here 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. You 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 product or 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 analytical problems and driving them to a business outcome. - 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. 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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" : 735.5108, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "E-Commerce", "llmIndustryConfidence" : 0.97 }, { "id" : "6a305098f292fd229cef28e8", "title" : "Senior Associate, BizOps & Analytics", "company" : "Jerry.ai", "industry" : "Data", "salary" : { "min" : 130000.0, "max" : 150000.0, "currency" : "USD", "frequency" : "Yearly" }, "location" : "New York, New York", "locations" : [ "New York, New York", "San Francisco Bay Area", "Boston, Massachusetts", "Atlanta, Georgia", "Denver, Colorado", "Austin, Texas", "Miami, Florida" ], "timestamp" : "2026-06-16T11:35:51.527", "fingerprint" : "a9ec2d512fbdcb7097ef000c9b94fda56f52c8927c40131c915b2b875f458ee7", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/jerry.ai/9ffdff72-e8ed-4fc2-9465-15e9ca3f6c99/application", "externalId" : "9ffdff72-e8ed-4fc2-9465-15e9ca3f6c99", "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", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Excel, SQL, Python", "professionalSkills" : [ "First principles thinking", "Data analysis", "Problem solving", "Decision making", "Analytical insights" ], "hardSkillsList" : [ "Data structuring", "Data interpretation" ], "softSkillsList" : [ "Direct communication" ], "hardSkills" : [ { "name" : "Data structuring", "level" : "intermediate" }, { "name" : "Data interpretation", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Direct communication" } ], "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 what is happening, Explain why it is happening, Recommend next steps", "teamCollaboration" : "Embedded in business units; Counterparts in product; Counterparts in growth; Counterparts in finance; Counterparts in operations", "domainKnowledge" : "Car insurance; Home insurance; Motorcycle insurance; RV insurance", "domainList" : [ "car-insurance", "home-insurance", "motorcycle-insurance", "rv-insurance" ], "domainSpecificKnowledge" : [ "Car insurance", "Home insurance", "Motorcycle insurance", "RV insurance" ], "toolProficiency" : [ "SQL", "Metabase", "Python", "Jupyter Hub", "GitHub" ], "communicationSkills" : "Direct communication; Clear writing; Precise speaking; Persuasive communication", "problemSolvingSkills" : "First principles thinking; Break ambiguous problems; Formulate hypotheses", "outcomesObjectives" : "Move key metrics; Go from 5M to 50M customers; Become a $10B business", "qualificationsBasic" : "2+ years consulting experience, 2+ years investment bank experience, 2+ 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, "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 - 2+ 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" : "Senior Associate, BizOps & Analytics at Jerry.ai. Skills: BizOps, Analytics, 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 - 2+ 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" : "Senior Associate, BizOps & Analytics at Jerry.ai. Skills: BizOps, Analytics, Problem solving. Define business questions. Define metrics", "createdAt" : "2026-06-16T00:30:02.999", "lastUpdated" : "2026-06-16T12:56:16.630", "ingestTimestamp" : "2026-06-16T00:30:02.999", "mongoId" : "6a305098f292fd229cef28e5", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "100k-150k", "hasSalary" : false, "allSkills" : [ "Data interpretation", "Data structuring", "Data pulling", "BizOps", "Analytics", "Problem solving", "First principles thinking", "Data analysis", "Car insurance", "Driving insights", "Repair marketplace", "Home insurance", "Motorcycle insurance", "RV insurance", "SQL", "Metabase", "Python", "Jupyter Hub", "GitHub" ], "skillCount" : 19, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Junior", "dataQualityScore" : 0.8888889, "_score" : 723.252, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a309104f292fd229c0ba247", "title" : "Sr Director, Enterprise Data & Analytics", "company" : "Tarsanet", "salary" : { "min" : 255000.0, "max" : 357000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Irvine, California, United States", "locations" : [ "Irvine", "California", "United States" ], "timestamp" : "2026-06-16T10:53:17.993", "fingerprint" : "e930f3b3815cba77dedd0cb72cf16ed0c2294a10c5830ade19169993f2fb887e", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/itcss/jobs/6030919004", "externalId" : "6030919004", "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", "remoteFriendly" : true, "rawDescription" : "Hi Tarsan! 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" : 722.375, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Pharma", "llmIndustryConfidence" : 0.98 }, { "id" : "6a305930f292fd229cf45a26", "title" : "Senior Associate, BizOps & Analytics", "company" : "Jerry.ai", "industry" : "Data", "salary" : { "min" : 130000.0, "max" : 150000.0, "currency" : "CAD", "frequency" : "Yearly" }, "location" : "Toronto, Ontario", "locations" : [ "Toronto, Ontario", "London, Ontario", "Kingston, Ontario", "Waterloo, Ontario", "Ottawa, Ontario", "Markham, Ontario", "Hamilton, Ontario" ], "timestamp" : "2026-06-16T11:20:53.221", "fingerprint" : "ae3f72491f2d2191cdbf47963a3bf23cea6c3d3513cdc4e4516085fe051ec6fe", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/Jerry.ai/5ffb5a27-beac-4e4f-8486-656b87339a8c/application", "externalId" : "5ffb5a27-beac-4e4f-8486-656b87339a8c", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Toronto", "state" : "Ontario", "country" : "Canada", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "43.6534817,-79.3839347" } ], "locationText" : "Toronto, Ontario, Canada", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Excel, SQL, Python", "professionalSkills" : [ "First principles thinking", "Problem solving", "Data analysis", "Decision making", "Execution" ], "hardSkillsList" : [ "Data analysis", "Metrics definition", "Report building", "Experiment design" ], "softSkillsList" : [ "Direct communication" ], "hardSkills" : [ { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Metrics definition", "level" : "intermediate" }, { "name" : "Report building", "level" : "intermediate" }, { "name" : "Experiment design", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Direct communication" } ], "majorSkills" : "BizOps, Analytics, Problem solving, Data insights", "majorSkillsList" : [ "BizOps", "Analytics", "Problem solving", "Data insights" ], "coreResponsibilities" : "Define business questions, Define metrics, Build reports, Run analyses, Design experiments, Surface data insights, Bring recommendations, Drive decisions", "teamCollaboration" : "Embedded in business units; Work with product; Work with growth; Work with finance; Work with operations", "domainKnowledge" : "Car insurance; Physical assets management", "domainList" : [ "car-insurance", "physical-assets-management" ], "domainSpecificKnowledge" : [ "Car insurance", "Physical assets management" ], "toolProficiency" : [ "SQL", "Clickhouse", "Metabase", "Python", "Jupyter Hub", "GitHub" ], "communicationSkills" : "Direct communication; Clear writing; Precise speaking", "problemSolvingSkills" : "First principles thinker; Break ambiguous problems", "outcomesObjectives" : "Move team's key metrics; Become $10B business", "qualificationsBasic" : "2+ years consulting experience, 2+ years investment bank experience, 2+ years high-growth tech experience, Analytical ability to pull data, Analytical ability to structure data, Analytical ability to interpret data, Track record owning ambiguous problems, Track record delivering impact, Clear communicator, Persuasive communicator, Influence leadership decisions", "remoteFriendly" : true, "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 - 2+ 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" : "Senior Associate, BizOps & Analytics at Jerry.ai. Skills: BizOps, Analytics, Problem solving, Data insights. Define business questions. Define metrics", "createdAt" : "2026-06-16T00:29:08.325", "lastUpdated" : "2026-06-16T11:20:53.221", "ingestTimestamp" : "2026-06-16T00:29:08.325", "mongoId" : "6a305930f292fd229cf45a26", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "100k-150k", "hasSalary" : false, "allSkills" : [ "Data analysis", "Metrics definition", "Report building", "Experiment design", "Direct communication", "BizOps", "Analytics", "Problem solving", "Data insights", "First principles thinking", "Decision making", "Execution", "Car insurance", "Physical assets management", "SQL", "Clickhouse", "Metabase", "Python", "Jupyter Hub", "GitHub" ], "skillCount" : 20, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Junior", "dataQualityScore" : 0.8888889, "_score" : 721.40924, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2cafed74d8ee00a09d83d0", "title" : "Director of Product - Data Platform and Decision Tooling", "company" : "Skyscanner", "industry" : "Product", "salary" : { "min" : 140000.0, "max" : 210000.0, "currency" : "GBP", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Director of Product in London, UK, adjusted for the technology industry and company size." }, "location" : "London", "locations" : [ "London" ], "timestamp" : "2026-06-15T08:00:16.022", "fingerprint" : "631e7c202e064d4afe1cf26218eca91980ca6f7ea5bbd9e6d2a86d8ba1e5154e", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/skyscanner/aa141487-e9b4-43cc-8667-1eab29c0404d/application", "externalId" : "aa141487-e9b4-43cc-8667-1eab29c0404d", "industryFunction" : { }, "structuredLocations" : [ { "city" : "London", "country" : "United Kingdom", "continent" : "eu", "source" : "llm", "workMode" : "hybrid", "geo" : "51.5074456,-0.1277653" } ], "locationText" : "London, United Kingdom", "employmentType" : "FULL_TIME", "experienceLevel" : "Director", "technicalSkills" : "ML, AI", "professionalSkills" : [ "Product strategy", "Roadmap development", "User stories", "Cross-functional collaboration", "Platform leadership", "Product judgement", "Commercial impact", "Data quality", "Data governance", "Data delivery", "MLOps", "AI-assisted analytics", "Agentic data engineering", "Data engineering workflows", "Data pipelines", "Data products", "Experimentation velocity", "Personalisation", "Revenue impact", "Cost control" ], "hardSkillsList" : [ "Data modeling", "Data architecture", "Machine learning", "Data warehousing", "Data pipelines", "Data quality management", "Experimentation design", "ML model deployment", "Analytics enablement", "Data engineering automation", "Scalable data delivery", "Metrics definition", "Operating model definition" ], "softSkillsList" : [ "Leadership" ], "hardSkills" : [ { "name" : "Data modeling", "level" : "intermediate" }, { "name" : "Data architecture", "level" : "intermediate" }, { "name" : "Machine learning", "level" : "intermediate" }, { "name" : "Data warehousing", "level" : "intermediate" }, { "name" : "Data pipelines", "level" : "intermediate" }, { "name" : "Data quality management", "level" : "intermediate" }, { "name" : "Experimentation design", "level" : "intermediate" }, { "name" : "ML model deployment", "level" : "intermediate" }, { "name" : "Analytics enablement", "level" : "intermediate" }, { "name" : "Data engineering automation", "level" : "intermediate" }, { "name" : "Scalable data delivery", "level" : "intermediate" }, { "name" : "Metrics definition", "level" : "intermediate" }, { "name" : "Operating model definition", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" } ], "majorSkills" : "Data Platform, Decision Tooling, Product Management", "majorSkillsList" : [ "Data Platform", "Decision Tooling", "Product Management" ], "coreResponsibilities" : "Own a trusted data platform, Lead platform reliability, Lead platform usability, Lead platform governance, Lead platform economic performance, Ensure product teams can test, Ensure product teams can learn, Ensure product teams make decisions quickly, Power production-ready ML, Enable AI-assisted self-serve analytics, Build for agentic data engineering, Shape AI and automation for data engineering, Scale data delivery, Strengthen data movement, Strengthen data transformation, Strengthen data maintenance, Strengthen data serving, Make quality visible, Turn data quality into capability, Shape the operating model, Define interfaces between teams, Connect technical investment to outcomes, Drive experimentation velocity, Drive personalisation, Drive revenue impact, Drive cost control, Drive better product decisions", "teamCollaboration" : "Cross-functional teams; Product engineering teams; Analytics teams; Data science teams; Business teams; AI platform teams; Data platform teams", "projectManagementSkills" : [ "Roadmap planning" ], "domainKnowledge" : "Data platform; Decision tooling; Machine learning; AI; Data quality; Data governance; Data engineering; Travel industry", "domainList" : [ "data-platform", "decision-tooling", "machine-learning", "ai", "data-quality", "data-governance", "data-engineering", "travel-industry" ], "domainSpecificKnowledge" : [ "Data platform", "Decision tooling", "Machine learning", "AI", "Data quality", "Data governance", "Data engineering", "Travel industry" ], "problemSolvingSkills" : "Root cause analysis; Troubleshooting", "outcomesObjectives" : "Faster experimentation; Production-ready ML; Stronger data quality; Scalable delivery; Experimentation velocity; Personalisation; Revenue impact; Cost control; Better product decisions", "qualificationsBasic" : "Platform leader at scale, Product-minded and commercially sharp, Confident with data-powered products, Quality and ownership obsessed, Cross-functional by nature, Direct and pacey, Strategic but sleeves-rolled-up", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "About Skyscanner Everyone loves travelling, but planning is not without its challenges ✈️. That's why we've spent 20 years building tools that turn travel-planning chaos into a breeze. Today, around 160 million travellers count on us every month to skip the whole “47 browser tabs open” phase and find flights, cars, and hotels quickly and easily \uD83D\uDCBB. Joining Skyscanner means becoming part of a global brand that's striving to become the planet's go-to travel hack accessible for all \uD83C\uDF0D. Our vision? To be the world's number one travel ally. (Ambitious? \uD83D\uDCAA Yes, but, hey, that's what got us here) About the role (Hybrid) Data has been at the heart of Skyscanner’s decision-making for over 20 years, and now our platform capability is stepping into an even bigger spotlight. You’ll own the foundations that help us turn data into trusted decisions, personalised product experiences, and measurable business impact at scale. You’ll keep today’s platform dependable while building what comes next: faster experimentation, production-ready ML and decisioning, stronger data quality, clearer ownership, and scalable delivery that does not need a small army to keep it moving. Think platform leadership, product judgement, commercial impact, and just enough travel chaos to keep things interesting. Inspired by the structure and tone of the example JDs. You can be based in Barcelona, Edinburgh or London where we adopt a hybrid working policy of working in the office twice a week. What you’ll be doing - Owning a trusted data platform: You’ll lead the reliability, usability, governance, and economic performance of the platform the whole data organisation depends on. - Making experimentation fly: You’ll ensure product teams can test, learn, and make decisions quickly, with clean assignment, accurate exposure capture, and confidence in the numbers. - Powering production-ready ML: You’ll help data and ML signals move from promising ideas to dependable traveller-facing experiences, without bespoke rework every time. - Enabling AI-assisted self-serve analytics: You’ll help create the foundations for teams to ask better questions, find trusted answers faster, and consume analytics through AI-native experiences grounded in governed metrics, clear definitions, and reusable knowledge. - Building for agentic data engineering: You’ll shape how AI and automation can support data engineering workflows, from discovery and documentation to pipeline development, testing, monitoring, incident response, and faster delivery of trusted data products. - Scaling data delivery: You’ll strengthen how data is moved, transformed, maintained, and served, so Skyscanner can support more use cases without scaling complexity at the same speed. - Making quality visible: You’ll turn data quality into a managed organisational capability, with clear ownership, measurable health, and faster issue detection and resolution. - Shaping the operating model: You’ll define the interfaces between data platform, AI platform, product engineering, analytics, data science, and business teams. - Turning platform work into impact: You’ll connect technical investment to outcomes like experimentation velocity, personalisation, revenue impact, cost control, and better product decisions. About you - Platform leader at scale: You’ve led business-critical platforms that many teams rely on, and you know how to make shared infrastructure trusted, adopted, and economically sustainable. - Product-minded and commercially sharp: You connect platform choices to company priorities, from revenue impact and product learning to operational risk and ROI. - Confident with data-powered products: You’ve enabled experimentation, ML, decisioning, or similar capabilities where data moves into real product experiences. - Quality and ownership obsessed: You know how to make standards, measurement, accountability, and support models stick without wrapping everyone in red tape. - Cross-functional by nature: You build alignment across product, engineering, AI, analytics, data science, and business teams, while keeping boundaries clear and useful. - Direct and pacey: You move with the speed the business needs, make decisions with incomplete information, and are honest when something is not working. - Strategic but sleeves-rolled-up: You can zoom out to shape the future state, then zoom in to unblock teams, sharpen priorities, and get the platform humming. What it's like here We are the real deal https://www.skyscanner.net/jobs/life— no corporate gloss, no empty promises. Just a team of genuinely curious, caring humans ❤️, building things that help travellers explore the world a little easier \uD83E\uDDED. Skyscanner is made up of brilliant humans from every corner of the world. We believe travel makes the world better — and that the same is true of our diverse teams. We're proud to be an equal opportunities employer and are committed to building an inclusive workplace where everyone can thrive and products that are accessible to all https://www.skyscanner.net/jobs/esg ✨. Sound like your kind of adventure? \uD83D\uDE80 Apply now and help us shape the future of travel. We're committed to ensuring our application and recruitment processes are inclusive and accessible to everyone. If you require any reasonable adjustments or accommodations for interviews, and/or wish to apply under the Disability Confident https://www.skyscanner.net/news/a-disability-confident-employer scheme, please let your recruiter know. If you’d like more information on any of our policies, such as hybrid working or Parental Leave policies (typically we pay a minimum of 24 weeks birth parent/maternity leave globally), our recruitment team can provide more information on these. ", "summaryDescription" : "Director of Product - Data Platform and Decision Tooling at Skyscanner. Skills: Data Platform, Decision Tooling, Product Management. Own a trusted data platform. Lead platform reliability", "createdAt" : "2026-06-14T03:15:33.760", "lastUpdated" : "2026-06-15T08:00:16.022", "ingestTimestamp" : "2026-06-14T03:15:33.760", "mongoId" : "6a2cafed74d8ee00a09d83d0", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "100k-150k", "hasSalary" : false, "allSkills" : [ "Data modeling", "Data architecture", "Machine learning", "Data warehousing", "Data pipelines", "Data quality management", "Experimentation design", "ML model deployment", "Analytics enablement", "Data engineering automation", "Scalable data delivery", "Metrics definition", "Operating model definition", "Leadership", "Data Platform", "Decision Tooling", "Product Management", "Product strategy", "Roadmap development", "User stories", "Cross-functional collaboration", "Platform leadership", "Product judgement", "Commercial impact", "Data quality", "Data governance", "Data delivery", "MLOps", "AI-assisted analytics", "Agentic data engineering", "Data engineering workflows", "Data products", "Experimentation velocity", "Personalisation", "Revenue impact", "Cost control", "Roadmap planning", "Data platform", "Decision tooling", "AI", "Data engineering", "Travel industry" ], "skillCount" : 42, "jobCategory" : "product", "jobSubcategory" : "product_management", "seniorityLevel" : "Director", "dataQualityScore" : 0.8888889, "_score" : 720.5023, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a305930f292fd229cf45a29", "title" : "Senior Associate, BizOps & Analytics", "company" : "Jerry. ai", "industry" : "Data", "salary" : { "min" : 130000.0, "max" : 150000.0, "currency" : "USD", "frequency" : "Yearly" }, "location" : "Los Angeles, California", "locations" : [ "Los Angeles, California", "Chicago, Illinois", "Raleigh, North Carolina", "Nashville, Tennessee", "Phoenix, Arizona", "Salt Lake City, Utah", "Dallas, Texas" ], "timestamp" : "2026-06-16T12:35:58.569", "fingerprint" : "15e108313d01b6e40f567d4ff9b191646ff50bbdf4feebd9008cd1c86baac9d6", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/Jerry.ai/6b1c105a-90e3-4025-bcd3-c798f285cf97/application", "externalId" : "6b1c105a-90e3-4025-bcd3-c798f285cf97", "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", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Excel, SQL, Python", "professionalSkills" : [ "First principles thinking", "Data analysis", "Problem solving", "Decision making", "Execution" ], "hardSkillsList" : [ "Data interpretation", "Data structuring", "Analytical ability" ], "hardSkills" : [ { "name" : "Data interpretation", "level" : "intermediate" }, { "name" : "Data structuring", "level" : "intermediate" }, { "name" : "Analytical ability", "level" : "intermediate" } ], "majorSkills" : "BizOps, Analytics, Data insights, Problem solving", "majorSkillsList" : [ "BizOps", "Analytics", "Data insights", "Problem solving" ], "coreResponsibilities" : "Define the right problems, Understand business questions, Inform decisions, Push back if question is flawed, Define metrics, Build reports, Run analyses, Design experiments, Surface data insights, Move key metrics, Bring recommendations to counterparts, Tell them what is happening, Tell them why it is happening, Tell them what next steps should be", "teamCollaboration" : "Embedded in business units; Counterparts in product, growth, finance or operations", "domainKnowledge" : "Car ownership; Home ownership; Insurance; Repair marketplace; Physical assets", "domainList" : [ "car-ownership", "home-ownership", "insurance", "repair-marketplace", "physical-assets" ], "domainSpecificKnowledge" : [ "Car ownership", "Home ownership", "Insurance", "Repair marketplace", "Physical assets" ], "toolProficiency" : [ "Excel", "SQL", "Python", "Jupyter Hub", "GitHub", "Clickhouse", "Metabase" ], "communicationSkills" : "Direct communication; Clear writing; Precise speaking; Persuasive communication", "problemSolvingSkills" : "First principles thinker; Break ambiguous problems into clear hypotheses", "outcomesObjectives" : "Move team's key metrics; Go from 5M to 50M customers; Become a $10B business", "qualificationsBasic" : "2+ years of experience at a consulting firm, investment bank, or high-growth technology company, Analytical 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", "remoteFriendly" : true, "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 - 2+ 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" : "Senior Associate, BizOps & Analytics at Jerry. ai. Skills: BizOps, Analytics, Data insights, Problem solving. Define the right problems. Understand business questions", "createdAt" : "2026-06-16T00:29:35.595", "lastUpdated" : "2026-06-16T12:35:58.569", "ingestTimestamp" : "2026-06-16T00:29:35.595", "mongoId" : "6a305930f292fd229cf45a29", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 130000, "salaryAnnualMax" : 150000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Data interpretation", "Data structuring", "Analytical ability", "BizOps", "Analytics", "Data insights", "Problem solving", "First principles thinking", "Data analysis", "Decision making", "Execution", "Car ownership", "Home ownership", "Insurance", "Repair marketplace", "Physical assets", "Excel", "SQL", "Python", "Jupyter Hub", "GitHub", "Clickhouse", "Metabase" ], "skillCount" : 23, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Mid", "dataQualityScore" : 0.8888889, "_score" : 718.87976, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a305098f292fd229cef28ea", "title" : "Senior Associate, BizOps & Analytics", "company" : "Jerry. ai", "industry" : "Data", "salary" : { "min" : 130000.0, "max" : 150000.0, "currency" : "USD", "frequency" : "Yearly" }, "location" : "Los Angeles, California", "locations" : [ "Los Angeles, California", "Chicago, Illinois", "Raleigh, North Carolina", "Nashville, Tennessee", "Phoenix, Arizona", "Salt Lake City, Utah", "Dallas, Texas" ], "timestamp" : "2026-06-16T10:30:25.847", "fingerprint" : "e38bd468c6af58a5c339e519e6ff698039e6fae6c8895a08017aa014f292cfdd", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/jerry.ai/6b1c105a-90e3-4025-bcd3-c798f285cf97/application", "externalId" : "6b1c105a-90e3-4025-bcd3-c798f285cf97", "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", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Excel, SQL, Python", "professionalSkills" : [ "First principles thinking", "Data analysis", "Problem solving", "Decision making", "Execution" ], "hardSkillsList" : [ "Data analysis", "Data interpretation", "Metrics definition", "Report building", "Experiment design" ], "hardSkills" : [ { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Data interpretation", "level" : "intermediate" }, { "name" : "Metrics definition", "level" : "intermediate" }, { "name" : "Report building", "level" : "intermediate" }, { "name" : "Experiment design", "level" : "intermediate" } ], "majorSkills" : "BizOps, Analytics, Data insights, Problem solving", "majorSkillsList" : [ "BizOps", "Analytics", "Data insights", "Problem solving" ], "coreResponsibilities" : "Define the right problems, Understand business question, Inform decision making, Push back if question is flawed, Define metrics, Build reports, Run analyses, Design experiments, Surface data insights, Move team's key metrics, Bring recommendations to counterparts, Tell them what's happening, Tell them why, Tell them what next steps should be, Own analytical function end-to-end", "teamCollaboration" : "Embedded in business units; Counterparts in product, growth, finance, operations", "domainKnowledge" : "Car ownership; Home ownership; Insurance; Repair marketplace; Physical assets management", "domainList" : [ "car-ownership", "home-ownership", "insurance", "repair-marketplace", "physical-assets-management" ], "domainSpecificKnowledge" : [ "Car ownership", "Home ownership", "Insurance", "Repair marketplace", "Physical assets management" ], "toolProficiency" : [ "SQL", "Metabase", "Python", "Jupyter Hub", "GitHub" ], "communicationSkills" : "Direct communication; Clear writing; Precise speaking; Persuasive communication", "problemSolvingSkills" : "First principles thinker; Break ambiguous problems into clear hypotheses", "qualificationsBasic" : "2+ years of experience at a consulting firm, investment bank, or high-growth technology company, Analytical 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", "remoteFriendly" : true, "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 - 2+ 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" : "Senior Associate, BizOps & Analytics at Jerry. ai. Skills: BizOps, Analytics, Data insights, Problem solving. Define the right problems. Understand business question", "createdAt" : "2026-06-16T00:27:44.020", "lastUpdated" : "2026-06-16T10:30:25.847", "ingestTimestamp" : "2026-06-16T00:27:44.020", "mongoId" : "6a305098f292fd229cef28ea", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 130000, "salaryAnnualMax" : 150000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Data analysis", "Data interpretation", "Metrics definition", "Report building", "Experiment design", "BizOps", "Analytics", "Data insights", "Problem solving", "First principles thinking", "Decision making", "Execution", "Car ownership", "Home ownership", "Insurance", "Repair marketplace", "Physical assets management", "SQL", "Metabase", "Python", "Jupyter Hub", "GitHub" ], "skillCount" : 22, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Mid", "dataQualityScore" : 0.8888889, "_score" : 718.8256, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c913074d8ee00a098232a", "title" : "Director, Revenue Intelligence & Analytics", "company" : "UPSTACK", "industry" : "FinTech", "salary" : { "min" : 170000.0, "max" : 190000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "United States", "locations" : [ "United States" ], "timestamp" : "2026-06-16T03:55:24.690", "fingerprint" : "787e70a727a226e07dab4a0af6b02020500a1f5a10fa5e0c89718d1b80113615", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/upstack/jobs/5239447008", "externalId" : "5239447008", "industryFunction" : { }, "structuredLocations" : [ { "country" : "United States", "continent" : "na", "workMode" : "remote" } ], "locationText" : "United States", "employmentType" : "FULL_TIME", "experienceLevel" : "Director", "remoteFriendly" : true, "rawDescription" : "Overview UPSTACK is the leading full-service technology advisory firm, transforming how businesses design, source, implement, support, and optimize IT infrastructure. Clients benefit from decades of expertise, enhanced support, and UPSTACK’s proprietary technology—delivering faster deployments, cost savings, and streamlined access to critical solutions. Our expertise includes: data center colocation, network connectivity, SD-WAN, unified communications, cloud contact center, CX-AI, private/public cloud, security, mobility, business continuity, and IoT. Under the leadership of Founder and CEO Christopher Trapp, UPSTACK is committed to exceptional customer experiences, serving 6,500+ clients—from SMBs to enterprises—and managing over $550M in annual technology spend across industries. About the Role We are seeking a strategic and analytical Director, Revenue Intelligence & Analytics to serve as a trusted partner to the Chief Revenue Officer (CRO) and Go-to-Market (GTM) leadership team. This leader will drive business performance through revenue intelligence, forecasting excellence, financial and operational analytics, and AI-driven insights. The ideal candidate combines deep expertise in revenue operations, financial planning, and business analytics with the ability to influence executive decision-making. This role will lead forecasting governance, pipeline analytics, productivity measurement, partner economics, investment optimization, and strategic planning initiatives that support scalable revenue growth and operational excellence. Key Responsibilities Revenue Intelligence & Forecasting Own and continuously improve revenue forecasting models, including pipeline, bookings, revenue, and quota attainment. Drive forecast rigor, governance processes, and forecasting methodologies across GTM leadership. Lead pipeline inspection and deal review processes to improve forecast accuracy and predictability. Analyze stage conversion rates, deal progression, slippage trends, and forecast variance. Support monthly, quarterly, and annual forecasting processes in partnership with Finance and GTM leadership. Sales Performance & Productivity Analytics Develop sales capacity models, including headcount planning, quota allocation, territory coverage, and ramp productivity. Evaluate sales productivity across segments, geographies, verticals, routes-to-market, and seller types. Support compensation plan modeling, attainment analysis, and incentive effectiveness reviews. Identify opportunities to improve revenue-generating efficiency and resource allocation. Strategic Growth & Market Analysis Conduct Ideal Customer Profile (ICP) analysis, market segmentation, whitespace analysis, and growth opportunity modeling. Analyze key SaaS business drivers including customer acquisition cost (CAC), lifetime value (LTV), funnel conversion, retention, and revenue growth metrics. Develop financial and business models to support pricing strategy, territory planning, market expansion, and investment decisions. Provide recommendations on GTM investments, territory design, and strategic growth initiatives. Partner & Ecosystem Performance Evaluate partner, channel, alliance, and ecosystem performance, including ROI and investment effectiveness. Assess partner economics and recommend optimization strategies to maximize growth and profitability. Executive Reporting & Business Insights Lead analytics and reporting for forecast reviews, Quarterly Business Reviews (QBRs), executive operating reviews, and Board presentations. Design and maintain executive dashboards and KPI reporting frameworks. Deliver actionable insights on performance against targets, highlighting risks, opportunities, and recommended actions. Translate complex data into clear, compelling executive-level narratives. AI & Advanced Analytics Leverage predictive analytics, AI-assisted forecasting, automation, anomaly detection, and scenario modeling to improve decision-making. Identify opportunities to enhance business intelligence capabilities and operational efficiency through technology and analytics. Cross-Functional Leadership Partner with Sales, Marketing, Customer Success, Revenue Operations, Business Systems & Data, and Finance teams to drive alignment and execution. Support annual planning, budgeting, and long-range strategic planning processes. Ensure data integrity, reporting consistency, and analytical rigor across the organization. Drive continuous improvement of processes, tools, systems, and reporting frameworks. Education Bachelor's degree in Finance, Accounting, Economics, Business Administration, or a related field. Required Qualifications 10+ years of experience in Revenue Operations, Revenue Analytics, FP&A, Business Intelligence, Sales Operations, or related strategic analytics functions. Experience supporting executive leadership teams and influencing business strategy through data-driven insights. Proven success in SaaS, subscription-based, or high-growth technology environments. Demonstrated experience building and managing forecasting, planning, and performance management processes. Deep knowledge of: Revenue Operations principles Forecast governance and pipeline management Territory design and sales capacity planning Compensation and incentive design Partner and ecosystem business models SaaS growth metrics and revenue architecture FP&A, forecasting, budgeting, and variance analysis Revenue modeling concepts including ARR, MRR, bookings, churn, and pipeline metrics GTM business models and sales performance measurement Advanced proficiency with: Salesforce SQL Snowflake Gong HubSpot Marketo Power BI, Tableau, or similar BI platforms Excel and financial modeling tools Predictive analytics and AI-enabled business analysis solutions Exceptional analytical and problem-solving skills. Strong executive communication and data storytelling capabilities. Ability to synthesize large, complex datasets into actionable business recommendations. Excellent stakeholder management and cross-functional collaboration skills. Strong project management and prioritization abilities. High attention to detail and commitment to data accuracy. Additional Requirements Ability to influence executive decision-making through quantitative analysis and strategic recommendations. Demonstrated ability to challenge assumptions and drive accountability through business inspection processes. Experience balancing strategic planning with operational execution. Strong business acumen with a focus on ROI-driven investment decisions. Ability to thrive in a fast-paced, high-growth environment with evolving priorities. Proven track record of identifying business risks and opportunities proactively. Experience building scalable analytical frameworks and financial models that support company growth. Ability to partner effectively with both technical and non-technical stakeholders. Commitment to continuous improvement, operational excellence, and innovation. Salary Range Employees new to UPSTACK typically come in at the start of the pay range. UPSTACK focuses on providing a simple and transparent pay structure, which is based on a variety of factors, including location, experience, and job-related skills. The salary range for this role is $170,000.00 to $190,000.00 annually plus participation in the annual bonus program. Compensation includes base salary and benefits. Closing UPSTACK is an Equal Opportunity Employer and does not discriminate based on race, gender, ethnicity, religion, national origin, age, disability, veteran status, gender identity/expression, sexual orientation, or on any other basis prohibited by law. Consistent with applicable state and local law, UPSTACK will consider employment for all qualified applicants. UPSTACK is committed to providing reasonable accommodations to individuals with disabilities as required by applicable law. Accommodations may include adjustments to the application, interview, or assessment process, as well as modifications to the work environment or job duties to enable individuals to perform the essential functions of the role. Requests for accommodations will be evaluated on a case-by-case basis and provided unless they impose an undue hardship on the organization. At this time, UPSTACK will not sponsor a new applicant for employment authorization for this position. We endeavor to make the application process accessible to all applicants. If you would like to contact us regarding accessibility and/or need assistance completing the application process, please contact us at recruiting@upstack.com.", "summaryDescription" : "Director, Revenue Intelligence & Analytics at UPSTACK", "postedDate" : "2026-06-14T20:03:29.222", "createdAt" : "2026-06-14T20:03:29.222", "lastUpdated" : "2026-06-16T03:55:24.690", "ingestTimestamp" : "2026-06-14T20:03:29.222", "mongoId" : "6a2c913074d8ee00a098232a", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 170000, "salaryAnnualMax" : 190000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "finance", "jobSubcategory" : "accounting", "seniorityLevel" : "Director", "dataQualityScore" : 0.8888889, "_score" : 718.18964, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2ca34574d8ee00a09ab01f", "title" : "Director, Revenue Strategy & Analytics", "company" : "Fireworks AI", "salary" : { "min" : 250000.0, "max" : 270000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "San Francisco, California, United States", "locations" : [ "San Francisco", "California", "United States" ], "timestamp" : "2026-06-16T02:31:00.405", "fingerprint" : "8184f0c3bf49ee807e671ecf0022787e38307c0aaaf97851564000a7a17beccc", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/fireworksai/jobs/4280810009", "externalId" : "4280810009", "industryFunction" : { }, "structuredLocations" : [ { "city" : "San Francisco", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "37.7879363,-122.4075201" } ], "locationText" : "San Francisco, California, United States", "employmentType" : "FULL_TIME", "experienceLevel" : "Director", "rawDescription" : "About Us: At Fireworks, we’re building the future of generative AI infrastructure. Our platform delivers the highest-quality models with the fastest and most scalable inference in the industry. We’ve been independently benchmarked as the leader in LLM inference speed and are driving cutting-edge innovation through projects like our own function calling and multimodal models. Fireworks is a Series C company valued at $4 billion and backed by top investors including Benchmark, Sequoia, Lightspeed, Index, and Evantic. We’re an ambitious, collaborative team of builders, founded by veterans of Meta PyTorch and Google Vertex AI. The Role Our GTM organization is scaling fast and needs a strategic and analytical foundation to match. In this role you will lead our Sales Strategy and Revenue Analytics pillars, reporting to the VP of Revenue Operations. This role requires someone who has operated in a consumption or usage-based business and understands how that changes forecasting, territory design, and what good GTM metrics actually look like. You'll own the foundation the GTM org runs on: operating model, territory and coverage design, revenue and GPU forecasting, QBR/WBR operating cadence, and the repeatable sales motions that turn annual strategy into quarterly execution. You'll be a strategic partner to sales leadership and a connector across Sales, Finance, Data, and Product. You'll set the operating model, defend it with data, and change it when the business changes. We want someone who measures their impact in decisions changed, not decks delivered. What You'll Own 1. GTM Operating Model and Territory/ROE Design Own how the GTM organization is structured to win: segment coverage, territory design, rules of engagement across GTM and Product, and quota-setting philosophy. Translate annual targets into territory plans that give every rep a fair book and every segment the right level of coverage. Revisit and adjust as the business evolves. 2. Revenue and GPU Forecasting Build and own the forecasting process across bookings, renewals, and consumption in partnership with Finance, Sales, and Data. Establish a methodology that works for a business where committed ARR and consumption expansion behave differently. Deliver forecasts leadership can trust, with clear variance explanation and recommended actions. 3. Business Partnership and Operating Cadence Run the QBR, WBR, and planning forums that keep the GTM organization aligned, accountable, and moving. Design the cadence, own the agenda, and make sure the output is decisions and actions, not status updates. Act as a strategic advisor to GTM leaders, surfacing pipeline risk and growth opportunity before it shows up in results. 4. Sales Process into Repeatable Motions Define and execute a consistent sales process across account planning, territory planning, and pipeline generation. Turn what works into a playbook. Instrument it so performance is visible, coaching is targeted, and the team gets better over time. Minimum Qualifications 10+ years in Revenue Strategy, Sales Strategy, Sales Operations, or Revenue Operations at B2B companies Has owned an end-to-end forecasting process, not just contributed to one Has designed territory and quota models at scale Has built and led a team with direct reports across strategy or analytics functions Strong analytical foundation: can build a model from scratch, not just interpret one Preferred Qualifications Experience at a usage-based, consumption, or API-first company Has run strategy and operations across both enterprise and PLG/product-led motions simultaneously Comfortable presenting to CFO, board, and executive team with well-reasoned variance analysis Has worked at an AI/ML infrastructure, developer tools, or high-growth technical B2B company Total compensation for this role also includes meaningful equity in a fast-growing startup, along with a competitive salary and comprehensive benefits package. Base salary is determined by a range of factors including individual qualifications, experience, skills, interview performance, market data, and work location. The listed salary range is intended as a guideline and may be adjusted. Base Pay Range (Plus Equity) $250,000—$270,000 USD Why Fireworks AI? Solve Hard Problems: Tackle challenges at the forefront of AI infrastructure, from low-latency inference to scalable model serving. Build What’s Next: Work with bleeding-edge technology that impacts how businesses and developers harness AI globally. Ownership & Impact: Join a fast-growing, passionate team where your work directly shapes the future of AI—no bureaucracy, just results. Learn from the Best: Collaborate with world-class engineers and AI researchers who thrive on curiosity and innovation. Fireworks AI is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all innovators.", "summaryDescription" : "Director, Revenue Strategy & Analytics at Fireworks AI", "postedDate" : "2026-06-14T20:07:36.707", "createdAt" : "2026-06-14T20:07:36.707", "lastUpdated" : "2026-06-16T02:31:00.405", "ingestTimestamp" : "2026-06-14T20:07:36.707", "mongoId" : "6a2ca34574d8ee00a09ab01f", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 250000, "salaryAnnualMax" : 270000, "salaryBand" : "200k+", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "sales", "jobSubcategory" : "revenue", "seniorityLevel" : "Director", "dataQualityScore" : 0.8888889, "_score" : 716.86383, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "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" : 716.0325, "daysOld" : 3, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Healthcare" }, { "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" : 712.58295, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Pharma", "llmIndustryConfidence" : 0.98 }, { "id" : "6a305930f292fd229cf45a2c", "title" : "Manager, BizOps & Analytics", "company" : "Jerry. ai", "industry" : "Data", "salary" : { "min" : 150000.0, "max" : 170000.0, "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" : "2026-06-16T10:30:25.853", "fingerprint" : "8e5f537eeecee3ecfaa146354d28d42d7d6fcc6b8309023cd9f563c2a62d9e5a", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/Jerry.ai/b834e277-07fb-4996-bcbb-ef8819da2278/application", "externalId" : "b834e277-07fb-4996-bcbb-ef8819da2278", "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", "experienceLevel" : "Manager", "technicalSkills" : "Excel, SQL, Python", "professionalSkills" : [ "First principles thinking", "Analytical problem solving" ], "hardSkillsList" : [ "Data analysis", "Metrics definition", "Report building", "Experiment design" ], "softSkillsList" : [ "Direct communicator", "Owner" ], "hardSkills" : [ { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Metrics definition", "level" : "intermediate" }, { "name" : "Report building", "level" : "intermediate" }, { "name" : "Experiment design", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Direct communicator" }, { "name" : "Owner" } ], "majorSkills" : "BizOps, Analytics, Data insights, Decision making", "majorSkillsList" : [ "BizOps", "Analytics", "Data insights", "Decision making" ], "coreResponsibilities" : "Define business questions, Define metrics, Build reports, Run analyses, Design experiments, Surface data insights, Bring recommendations to counterparts, Inform product teams, Inform growth teams, Inform finance teams, Inform operations teams", "teamCollaboration" : "Embedded in business units; Cross-functional collaboration", "domainKnowledge" : "Car insurance; Driving insights; Car maintenance; Car repair; Home ownership; Motorcycle ownership; RV ownership", "domainList" : [ "car-insurance", "driving-insights", "car-maintenance", "car-repair", "home-ownership", "motorcycle-ownership", "rv-ownership" ], "domainSpecificKnowledge" : [ "Car insurance", "Driving insights", "Car maintenance", "Car repair", "Home ownership", "Motorcycle ownership", "RV ownership" ], "toolProficiency" : [ "SQL", "Metabase", "Python", "Jupyter Hub", "GitHub" ], "communicationSkills" : "Direct communication; Precise speaking; Clear writing", "problemSolvingSkills" : "First principles thinker; Break ambiguous problems; Formulate hypotheses", "outcomesObjectives" : "Move key metrics; Drive business impact; Grow customer base; Achieve $10B valuation", "qualificationsBasic" : "4+ years consulting firm experience, 4+ years investment bank experience, 4+ years high-growth tech company experience, Analytical ability to pull data, Analytical ability to structure data, Analytical ability to interpret data, Track record of owning ambiguous problems, Track record of delivering impact, Clear communicator, Persuasive communicator, Influence decisions at leadership level", "remoteFriendly" : false, "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 - 4+ 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. 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These tools are intended to improve efficiency and support fair and consistent evaluation based on job-related criteria. All use of AI is governed by NIQ’s principles of fairness, transparency, human oversight, and inclusion. Final hiring decisions are made exclusively by humans. NIQ regularly reviews its AI tools to help mitigate bias and ensure compliance with applicable laws and regulations. If you have questions, require accommodations, or wish to request human review were permitted by law, please contact your local HR representative. For more information, please visit NIQ’s AI Safety Policies and Guiding Principles: https://www.nielseniq.com/global/en/ai-safety-policies. About NIQ NIQ is the world’s leading consumer intelligence company, delivering the most complete understanding of consumer buying behavior and revealing new pathways to growth. In 2023, NIQ combined with GfK, bringing together the two industry leaders with unparalleled global reach. With a holistic retail read and the most comprehensive consumer insights—delivered with advanced analytics through state-of-the-art platforms—NIQ delivers the Full View™. NIQ is an Advent International portfolio company with operations in 100+ markets, covering more than 90% of the world’s population. For more information, visit NIQ.com Want to keep up with our latest updates? Follow us on: [LinkedIn](https://www.linkedin.com/company/nielseniq/mycompany/) | [Instagram](https://www.instagram.com/nielseniq/) | [Twitter](https://twitter.com/nielseniq) | [Facebook](https://www.facebook.com/NielsenIQ.global/) Our commitment to Diversity, Equity, and Inclusion At NIQ, we are steadfast in our commitment to fostering an inclusive workplace that mirrors the rich diversity of the communities and markets we serve. We believe that embracing a wide range of perspectives drives innovation and excellence. All employment decisions at NIQ are made without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, marital status, veteran status, or any other characteristic protected by applicable laws. We invite individuals who share our dedication to inclusivity and equity to join us in making a meaningful impact. 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These tools are intended to improve efficiency and support fair and consistent evaluation based on job-related criteria. All use of AI is governed by NIQ’s principles of fairness, transparency, human oversight, and inclusion. Final hiring decisions are made exclusively by humans. NIQ regularly reviews its AI tools to help mitigate bias and ensure compliance with applicable laws and regulations. If you have questions, require accommodations, or wish to request human review were permitted by law, please contact your local HR representative. For more information, please visit NIQ’s AI Safety Policies and Guiding Principles: https://www.nielseniq.com/global/en/ai-safety-policies. About NIQ NIQ is the world’s leading consumer intelligence company, delivering the most complete understanding of consumer buying behavior and revealing new pathways to growth. In 2023, NIQ combined with GfK, bringing together the two industry leaders with unparalleled global reach. With a holistic retail read and the most comprehensive consumer insights—delivered with advanced analytics through state-of-the-art platforms—NIQ delivers the Full View™. NIQ is an Advent International portfolio company with operations in 100+ markets, covering more than 90% of the world’s population. For more information, visit NIQ.com Want to keep up with our latest updates? Follow us on: [LinkedIn](https://www.linkedin.com/company/nielseniq/mycompany/) | [Instagram](https://www.instagram.com/nielseniq/) | [Twitter](https://twitter.com/nielseniq) | [Facebook](https://www.facebook.com/NielsenIQ.global/) Our commitment to Diversity, Equity, and Inclusion At NIQ, we are steadfast in our commitment to fostering an inclusive workplace that mirrors the rich diversity of the communities and markets we serve. We believe that embracing a wide range of perspectives drives innovation and excellence. All employment decisions at NIQ are made without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, marital status, veteran status, or any other characteristic protected by applicable laws. We invite individuals who share our dedication to inclusivity and equity to join us in making a meaningful impact. 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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. 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KKR aims to generate attractive investment returns by following a patient and disciplined investment approach, employing world-class people, and supporting growth in its portfolio companies and communities. KKR sponsors investment funds that invest in private equity, credit and real assets and has strategic partners that manage hedge funds. KKR’s insurance subsidiaries offer retirement, life and reinsurance products under the management of Global Atlantic Financial Group. References to KKR’s investments may include the activities of its sponsored funds and insurance subsidiaries. Global Atlantic is a leading provider of retirement security and investment solutions with operations in the U.S., Bermuda, and Japan. As a wholly-owned subsidiary of KKR (NYSE: KKR), a leading global investment firm, Global Atlantic combines deep insurance expertise with KKR’s powerful investment capabilities to deliver long-term financial security for millions of individuals worldwide. With a broad suite of annuity, preneed life insurance, reinsurance, and investment solutions, Global Atlantic, through its issuing companies, helps people achieve their financial goals with confidence. For more information, please visit www.globalatlantic.com. EMPLOYER: Global Atlantic Financial Company (a KKR company) RESPONSIBILITIES • Member of the Sector Analytics team, which is responsible for working with different portfolio management teams to provide analytical and quantitative solutions to investment and asset management. • Build, enhance and support the next generation of asset modeling and analytics platforms built on AWS. • Work with senior team members to address various requests from portfolio management teams and other internal stakeholders. • Collaborate with portfolio teams to provide cash flows and analytics for commercial assets, including commercial mortgage loans, CMBS, and other related assets. • Analyze asset historic performance data, identify key drivers and create business intelligence reports. • Contribute to the development and testing of the new asset modeling and analytics platform. • Work with other team members to build investment-oriented applications to improve the efficiency of investment management. QUALIFICATIONS Master’s degree (U. S. or foreign equivalent) in Finance, Financial Engineering, Statistics, Computer Science or a related quantitative field plus one (1) year of experience in the job offered or one (1) year of experience in investment analytics or related role. The employer will alternatively accept a Bachelor’s degree (U. S. or foreign equivalent) in Finance, Financial Engineering, Statistics, Computer Science or a related quantitative field plus three (3) years of experience in the job offered or three (3) years of experience in investment analytics or related role. One (1) year of experience: working with Python and Python data analysis packages (e. g. pandas, numpy, and scipy); understanding of database and handling complex query to large data tables; experience with Tableau; working with financial instruments; excel Proficiency in Pivot tables, and complex financial functions to calculate cashflows and yields; and building and maintaining investment-oriented applications on the Beacon platform. Location: 30 Hudson Yards, New York, NY 10001 Job Type: Full-time, 40 Hours a week, Monday-Friday Salary: $160,000 - $160,000 per year. #LI-DNI KKR 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. KKR will provide reasonable accommodations as required by applicable federal, state, and/or local laws. Individuals seeking an accommodation for the application or interview process should email Benefits@kkr.com. Emails sent for unrelated issues, such as following up on an application, will not receive a response. If you are a qualified individual with a disability or a disabled veteran, you may request a reasonable accommodation if you are unable or limited in your ability to use or access https://www.kkr.com/careers because of your disability. You can request reasonable accommodations by sending an email to Benefits@kkr.com. Only emails left for this purpose will be returned. Massachusetts Applicants: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. This notice applies only to applicants and employees who work or will work in Massachusetts, in accordance with applicable state law.", "summaryDescription" : "Program Associate, Investment Analytics at Global Atlantic Financial Company", "postedDate" : "2026-06-15T23:26:53.850", "createdAt" : "2026-06-15T23:26:53.850", "lastUpdated" : "2026-06-16T08:02:49.832", "ingestTimestamp" : "2026-06-15T23:26:53.850", "mongoId" : "6a3067aef292fd229cfc082a", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 160000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "finance", "jobSubcategory" : "accounting", "seniorityLevel" : "Junior", "dataQualityScore" : 0.7777778, "_score" : 709.1881, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Financial Services", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2ca34974d8ee00a09ab123", "title" : "Associate Strategy Director", "company" : "Further", 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"Fivetran", "Airflow", "Delta Lake", "Scikit-learn", "TensorFlow", "PyTorch", "XGBoost", "LightGBM", "Hugging Face", "MLflow", "AWS", "GCP", "Azure" ], "communicationSkills" : "Executive presentations; Client communication", "problemSolvingSkills" : "Root cause analysis; Troubleshooting; Data-driven decision making", "outcomesObjectives" : "Drive business growth; Leave measurable mark; Drive measurable results", "qualificationsBasic" : "10-15 years of experience, Track record of designing analytics programs, Experience developing data strategies, Experience leading data initiatives, Ability to lead client-facing workshops, Ability to lead discovery sessions, Ability to lead executive presentations, Change management skills, Comfort navigating ambiguity, Demonstrated success mentoring teams, Driving measurable results on projects", "qualificationsPreferred" : "PhD preferred, Specific ML framework experience, Cloud platform certs", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "WE’RE HIRING! If you love data and are looking for unlimited growth opportunities, we want to talk with you about joining Further. Further is a data, cloud, and AI company whose focus is helping companies turn raw data into the right decisions. We have an award winning culture of extraordinary people. Our purpose is to enable people to thrive so that businesses can thrive. We believe that the work you do should matter - it should be meaningful to you professionally and personally, and it should have a positive impact on both you and our clients. If this sounds exciting to you, let’s chat! Associate Strategy Director You'll sit at the intersection of strategy, data, and client impact, shaping the firm's growth, maturing its offerings, and leaving a measurable mark on the clients you serve. This is a leadership role in the organization, and you would not only be a senior SME on client accounts, but be responsible for teaching others how to identify opportunities for strategic growth and impact on client accounts. You will drive business growth, lead strategic client relationships, and mentor the next generation of practitioners, all while applying our Hypothesis-Driven Approach to some of the most complex data and digital challenges our clients face. You will sit in one of our office locations on a hybrid schedule. The team is in office on Tuesdays, Wednesdays and Thursdays. What experience should you have: 10-15 years of experience in full scale customer journey and data ecosystems, with a track record of designing comprehensive analytics, measurement, and optimization programs. Experience developing complex data strategies and leading cross-functional data initiatives at enterprise scale. Proven ability to lead client-facing workshops, discovery sessions, and executive presentations, including with net-new prospects. Strong change management skills and comfort navigating ambiguity at the senior client level. Demonstrated success mentoring teams and driving measurable results on multi-workstream projects. What you’ll be doing in this role: Champion and apply our Hypothesis-Driven Approach across large, complex engagements, communicating it clearly to both internal teams and senior client stakeholders. Translate client goals into measurable business outcomes; plan, delegate, and lead team execution while crafting a compelling value narrative for every engagement. Lead business development — from pitches and scoping to proposals and pricing — building trusted partnerships that extend and expand client relationships over time. Provide strategic direction and mentorship to cross-functional teams, championing the firm's vision, values, and evolving solution offerings. Own major client engagements end-to-end: influence decision-making, navigate change management, and communicate the downstream impact of new information or constraints on the client's ecosystem. Partner with Client Services and Business Development to pursue new opportunities and shape the direction of ongoing engagements Our total rewards program is designed for your protection, peace of mind, and overall well-being. In addition to our outstanding basics, we offer a net-zero cost medical option, company contributions to your HSA, fertility support, fully-paid parental leave, a monthly stipend for your lifestyle spending account, and much more. Apply today or check out all our opportunities! #LI-Hybrid Applicants must be currently authorized to work in the United States on a full-time basis. The company does not anticipate providing sponsorship for employment visa status (e.g., H-1B, TN, etc.) for this individual position. By submitting your application, you consent to our collection, processing and disclosure of the contained personal data in accordance with our data practices. If you are a resident of the U. S. state of California, you can read about our data practices and your related privacy rights here. If you are a resident of the European Economic Area, Switzerland or the United Kingdom, you can read about our data practices and your related privacy rights here.", "summaryDescription" : "Associate Strategy Director at Further. Skills: Data strategy, Analytics, Client engagement, Team leadership. Champion Hypothesis-Driven Approach. 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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" : 703.2101, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Healthcare" }, { "id" : "6a0de91258b93c861eb99059", "title" : "Financial Analyst Senior - Decision Support Services", "industry" : "Healthcare", "salary" : { "min" : 95000.0, "max" : 135000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline data for a Senior Financial Analyst in Tampa, United States, adjusted for the healthcare industry and onsite work mode." }, "location" : "United States-Florida-Tampa", "locations" : [ "United States-Florida-Tampa", "
TGH Corporate Center (TGHCORPCTR)
606 W Kennedy Blvd

Tampa, 33606

" ], "timestamp" : "2026-06-15T09:59:14.641", "fingerprint" : "5ce20a27fb17ee0f692b1bf9589ff6be61ec7a5a039241696fe2c4e6f34b439e", "source" : "taleo", "language" : "en", "applyUrl" : "https://tas-tgh.taleo.net/careersection/ex/jobdetail.ftl?job=678671", "externalId" : "678671", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Tampa", "state" : "Florida", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "27.9449854,-82.4583107" } ], "locationText" : "Tampa, Florida, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Decision support systems, ERP systems", "professionalSkills" : [ "Financial analysis", "Decision support", "Healthcare analytics", "Financial planning", "Forecasting", "Strategic initiatives", "Data analysis", "Budget development", "Performance analysis", "Cost analysis", "Margin analysis", "Productivity analysis", "Trend analysis" ], "hardSkillsList" : [ "Financial modeling", "Data synthesis", "Data validation", "Variance analysis" ], "softSkillsList" : [ "Mentorship" ], "hardSkills" : [ { "name" : "Financial modeling", "level" : "intermediate" }, { "name" : "Data synthesis", "level" : "intermediate" }, { "name" : "Data validation", "level" : "intermediate" }, { "name" : "Variance analysis", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Mentorship" } ], "majorSkills" : "Financial analysis, Decision support, Healthcare finance", "majorSkillsList" : [ "Financial analysis", "Decision support", "Healthcare finance" ], "coreResponsibilities" : "Lead financial analyses, Lead operational analyses, Provide analytical support, Support financial planning, Support forecasting, Support strategic initiatives, Translate data into insights, Create enterprise datasets, Manage enterprise datasets, Validate enterprise datasets, Synthesize data from systems, Develop system-level reports, Develop dashboards, Develop analyses, Analyze budget-to-actual variances, Analyze performance variances, Identify key drivers, Communicate implications to leadership, Act as data steward, Support standard definitions, Support data quality, Support reporting consistency, Promote continuous improvement, Identify process enhancements, Identify automation opportunities, Identify reporting efficiency opportunities, Provide informal mentorship, Support system-level initiatives", "teamCollaboration" : "Executive stakeholders; Cross functional teams; Finance leadership; Operational leaders; Clinical stakeholders", "domainKnowledge" : "Healthcare finance; Enterprise data structures; Multi-entity healthcare", "domainList" : [ "healthcare-finance", "enterprise-data-structures", "multi-entity-healthcare" ], "domainSpecificKnowledge" : [ "Healthcare finance", "Enterprise data structures", "Multi-entity healthcare" ], "toolProficiency" : [ "Strata", "PeopleSoft" ], "communicationSkills" : "Executive presentations; System-level reporting", "problemSolvingSkills" : "Actionable insights", "outcomesObjectives" : "Support financial sustainability; Support operational performance; Support long-term strategy", "qualificationsBasic" : "Bachelor's Degree in Business, 5 years financial analysis, 5 years decision support, 5 years healthcare analytics, Experience in health system, Experience in multi-entity healthcare, Experience with decision support systems, Experience with ERP systems", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "The Financial Analyst Sr provides advanced, system level financial and decision support analytics to enterprise finance leadership, executive stakeholders, and cross functional teams. This role focuses on enterprise performance, standardization, and strategic decision-making across the health system. Applies advanced knowledge of healthcare finance, decision support systems, and enterprise data structures to translate complex, multi-entity information into actionable insights that support financial sustainability, operational performance, and long-term system strategy. Essential Functions: Lead and deliver system‑level financial and operational analyses, including service line performance, productivity, cost, margin, and volume trends across hospitals and entities. Provide advanced analytical support for departmental and service line budget development, including modeling assumptions, validating inputs, and ensuring consistency across the system. Support enterprise financial planning, forecasting, and strategic initiatives through integrated financial and operational analytics. Partner with Finance leadership, operational leaders, and clinical stakeholders to translate complex data into actionable insights and recommendations. Create, manage, and validate enterprise‑level datasets, synthesizing data from multiple financial and operational systems. Develop and present system‑level reports, dashboards, and analyses for executive and governance audiences. Analyze budget‑to‑actual and performance variances, identify key drivers, and communicate implications to leadership. Act as a steward of enterprise financial and operational metrics, supporting standard definitions, data quality, and reporting consistency. Promote continuous improvement by identifying opportunities to enhance decision support processes, automation, and reporting efficiency. Provide informal mentorship to Financial Analyst Accountant(s) and support other system-level initiatives as assigned. Bachelor's Degree in Business, Finance, Healthcare Administration, and/or other related field. 5 years of progressive experience in financial analysis, decision support, or healthcare analytics. Experience in a health system or multi-entity healthcare environment. Experience with decision support and ERP systems (e.g., Strata, PeopleSoft or comparable platforms). Tampa", "summaryDescription" : "Financial Analyst Senior - Decision Support Services. Skills: Financial analysis, Decision support, Healthcare finance. Lead financial analyses. Lead operational analyses", "createdAt" : "2026-06-14T08:38:35.056", "lastUpdated" : "2026-06-15T09:59:14.641", "ingestTimestamp" : "2026-06-14T08:38:35.056", "mongoId" : "6a0de91258b93c861eb99059", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 95000, "salaryAnnualMax" : 135000, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ "Financial modeling", "Data synthesis", "Data validation", "Variance analysis", "Mentorship", "Financial analysis", "Decision support", "Healthcare finance", "Healthcare analytics", "Financial planning", "Forecasting", "Strategic initiatives", "Data analysis", "Budget development", "Performance analysis", "Cost analysis", "Margin analysis", "Productivity analysis", "Trend analysis", "Enterprise data structures", "Multi-entity healthcare", "Strata", "PeopleSoft" ], "skillCount" : 23, "jobCategory" : "finance", "jobSubcategory" : "accounting", "seniorityLevel" : "Senior", "dataQualityScore" : 0.7777778, "_score" : 698.0129, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.97 }, { "id" : "6a2cafed74d8ee00a09d83cf", "title" : "Director of Product - Data Platform and Decision Tooling", "company" : "Skyscanner", "industry" : "Product", "salary" : { "min" : 130000.0, "max" : 195000.0, "currency" : "GBP", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Director of Product in London, UK, adjusted for the technology industry and company size." }, "location" : "London", "locations" : [ "London" ], "timestamp" : "2026-06-15T08:15:47.164", "fingerprint" : "a4e711ada7f64ef3ad7274a130224cc6b0c75f6bdae3559a6db9eb38ab7abea5", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/skyscanner/350e50f6-ea4f-4898-92ce-497e253d5e61/application", "externalId" : "350e50f6-ea4f-4898-92ce-497e253d5e61", "industryFunction" : { }, "structuredLocations" : [ { "city" : "London", "country" : "United Kingdom", "continent" : "eu", "source" : "llm", "workMode" : "hybrid", "geo" : "51.5074456,-0.1277653" } ], "locationText" : "London, United Kingdom", "employmentType" : "FULL_TIME", "experienceLevel" : "Director", "technicalSkills" : "Data Platform, ML, AI", "professionalSkills" : [ "Product strategy", "Roadmap development", "User stories", "Cross-functional collaboration", "Platform leadership", "Product judgement", "Commercial impact", "Data quality", "Data governance", "MLOps", "Data engineering", "AI automation", "Data delivery", "Operating model definition" ], "hardSkillsList" : [ "Experimentation velocity", "Personalisation", "Revenue impact", "Cost control", "Product decisions" ], "softSkillsList" : [ "Leadership" ], "hardSkills" : [ { "name" : "Experimentation velocity", "level" : "intermediate" }, { "name" : "Personalisation", "level" : "intermediate" }, { "name" : "Revenue impact", "level" : "intermediate" }, { "name" : "Cost control", "level" : "intermediate" }, { "name" : "Product decisions", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" } ], "majorSkills" : "Data Platform, ML, AI, Product Management", "majorSkillsList" : [ "Data Platform", "ML", "AI", "Product Management" ], "coreResponsibilities" : "Own data platform reliability, Own data platform usability, Own data platform governance, Own data platform economic performance, Ensure product teams can test, Ensure product teams can learn, Ensure product teams make decisions quickly, Help data and ML signals move to dependable, Create foundations for teams to ask better questions, Create foundations for teams to find answers faster, Create foundations for teams to consume analytics, Shape how AI and automation support data engineering, Strengthen how data is moved, Strengthen how data is transformed, Strengthen how data is maintained, Strengthen how data is served, Turn data quality into managed capability, Define interfaces between teams, Connect technical investment to outcomes", "teamCollaboration" : "Cross-functional teams; Product engineering; Analytics teams; Data science teams; Business teams", "projectManagementSkills" : [ "Roadmap", "Priorities" ], "domainKnowledge" : "Data Platform; Decision Tooling; Machine Learning; AI; Data Quality; Data Governance; Data Engineering; Travel Industry", "domainList" : [ "data-platform", "decision-tooling", "machine-learning", "ai", "data-quality", "data-governance", "data-engineering", "travel-industry" ], "domainSpecificKnowledge" : [ "Data Platform", "Decision Tooling", "Machine Learning", "AI", "Data Quality", "Data Governance", "Data Engineering", "Travel Industry" ], "innovationCreativity" : "AI-native experiences", "problemSolvingSkills" : "Root cause analysis; Troubleshooting", "outcomesObjectives" : "Faster experimentation; Production-ready ML; Stronger data quality; Scalable delivery; Experimentation velocity; Personalisation; Revenue impact; Cost control; Better product decisions", "qualificationsBasic" : "Platform leader at scale, Product-minded and commercially sharp, Confident with data-powered products, Quality and ownership obsessed, Cross-functional by nature, Direct and pacey, Strategic but sleeves-rolled-up", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "About Skyscanner Everyone loves travelling, but planning is not without its challenges ✈️. That's why we've spent 20 years building tools that turn travel-planning chaos into a breeze. Today, around 160 million travellers count on us every month to skip the whole “47 browser tabs open” phase and find flights, cars, and hotels quickly and easily \uD83D\uDCBB. Joining Skyscanner means becoming part of a global brand that's striving to become the planet's go-to travel hack accessible for all \uD83C\uDF0D. Our vision? To be the world's number one travel ally. (Ambitious? \uD83D\uDCAA Yes, but, hey, that's what got us here) About the role (Hybrid) Data has been at the heart of Skyscanner’s decision-making for over 20 years, and now our platform capability is stepping into an even bigger spotlight. You’ll own the foundations that help us turn data into trusted decisions, personalised product experiences, and measurable business impact at scale. You’ll keep today’s platform dependable while building what comes next: faster experimentation, production-ready ML and decisioning, stronger data quality, clearer ownership, and scalable delivery that does not need a small army to keep it moving. Think platform leadership, product judgement, commercial impact, and just enough travel chaos to keep things interesting. Inspired by the structure and tone of the example JDs. You can be based in Barcelona, Edinburgh or London where we adopt a hybrid working policy of working in the office twice a week. What you’ll be doing - Owning a trusted data platform: You’ll lead the reliability, usability, governance, and economic performance of the platform the whole data organisation depends on. - Making experimentation fly: You’ll ensure product teams can test, learn, and make decisions quickly, with clean assignment, accurate exposure capture, and confidence in the numbers. - Powering production-ready ML: You’ll help data and ML signals move from promising ideas to dependable traveller-facing experiences, without bespoke rework every time. - Enabling AI-assisted self-serve analytics: You’ll help create the foundations for teams to ask better questions, find trusted answers faster, and consume analytics through AI-native experiences grounded in governed metrics, clear definitions, and reusable knowledge. - Building for agentic data engineering: You’ll shape how AI and automation can support data engineering workflows, from discovery and documentation to pipeline development, testing, monitoring, incident response, and faster delivery of trusted data products. - Scaling data delivery: You’ll strengthen how data is moved, transformed, maintained, and served, so Skyscanner can support more use cases without scaling complexity at the same speed. - Making quality visible: You’ll turn data quality into a managed organisational capability, with clear ownership, measurable health, and faster issue detection and resolution. - Shaping the operating model: You’ll define the interfaces between data platform, AI platform, product engineering, analytics, data science, and business teams. - Turning platform work into impact: You’ll connect technical investment to outcomes like experimentation velocity, personalisation, revenue impact, cost control, and better product decisions. About you - Platform leader at scale: You’ve led business-critical platforms that many teams rely on, and you know how to make shared infrastructure trusted, adopted, and economically sustainable. - Product-minded and commercially sharp: You connect platform choices to company priorities, from revenue impact and product learning to operational risk and ROI. - Confident with data-powered products: You’ve enabled experimentation, ML, decisioning, or similar capabilities where data moves into real product experiences. - Quality and ownership obsessed: You know how to make standards, measurement, accountability, and support models stick without wrapping everyone in red tape. - Cross-functional by nature: You build alignment across product, engineering, AI, analytics, data science, and business teams, while keeping boundaries clear and useful. - Direct and pacey: You move with the speed the business needs, make decisions with incomplete information, and are honest when something is not working. - Strategic but sleeves-rolled-up: You can zoom out to shape the future state, then zoom in to unblock teams, sharpen priorities, and get the platform humming. What it's like here We are the real deal https://www.skyscanner.net/jobs/life— no corporate gloss, no empty promises. Just a team of genuinely curious, caring humans ❤️, building things that help travellers explore the world a little easier \uD83E\uDDED. Skyscanner is made up of brilliant humans from every corner of the world. We believe travel makes the world better — and that the same is true of our diverse teams. We're proud to be an equal opportunities employer and are committed to building an inclusive workplace where everyone can thrive and products that are accessible to all https://www.skyscanner.net/jobs/esg ✨. Sound like your kind of adventure? \uD83D\uDE80 Apply now and help us shape the future of travel. We're committed to ensuring our application and recruitment processes are inclusive and accessible to everyone. If you require any reasonable adjustments or accommodations for interviews, and/or wish to apply under the Disability Confident https://www.skyscanner.net/news/a-disability-confident-employer scheme, please let your recruiter know. If you’d like more information on any of our policies, such as hybrid working or Parental Leave policies (typically we pay a minimum of 24 weeks birth parent/maternity leave globally), our recruitment team can provide more information on these. ", "summaryDescription" : "Director of Product - Data Platform and Decision Tooling at Skyscanner. Skills: Data Platform, ML, AI, Product Management. Own data platform reliability. Own data platform usability", "createdAt" : "2026-06-13T21:49:02.566", "lastUpdated" : "2026-06-15T08:15:47.164", "ingestTimestamp" : "2026-06-13T21:49:02.566", "mongoId" : "6a2cafed74d8ee00a09d83cf", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "100k-150k", "hasSalary" : false, "allSkills" : [ "Experimentation velocity", "Personalisation", "Revenue impact", "Cost control", "Product decisions", "Leadership", "Data Platform", "ML", "AI", "Product Management", "Product strategy", "Roadmap development", "User stories", "Cross-functional collaboration", "Platform leadership", "Product judgement", "Commercial impact", "Data quality", "Data governance", "MLOps", "Data engineering", "AI automation", "Data delivery", "Operating model definition", "Roadmap", "Priorities", "Decision Tooling", "Machine Learning", "Data Quality", "Data Governance", "Data Engineering", "Travel Industry" ], "skillCount" : 32, "jobCategory" : "product", "jobSubcategory" : "product_management", "seniorityLevel" : "Director", "dataQualityScore" : 0.8888889, "_score" : 693.2404, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2d024e74d8ee00a0abbc9f", "title" : "Research and Business Analytics Director", "industry" : "Government", "salary" : { "min" : 175000.0, "max" : 250000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Director of Research and Business Analytics in Alexandria, United States, adjusted for government industry and full-time employment." }, "location" : "Alexandria, VA", "locations" : [ "Alexandria, VA" ], "certifications" : [ "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified" ], "timestamp" : "2026-06-15T05:14:09.936", "fingerprint" : "a9f32f1b984312d4ade8b1d9d0a83dd8b414a248733b5226e411c809871efe94", "source" : "jazzhr", "language" : "en", "externalId" : "fa2Mw9eGTO", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Alexandria", "state" : "Virginia", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "38.8051095,-77.0470229" } ], "locationText" : "Alexandria, Virginia, United States", "experienceLevel" : "Director", "technicalSkills" : "SQL, Python, R, Scala, Spark, Dbt, Snowflake, BigQuery, Redshift, Databricks, Fivetran, Airflow, Delta Lake, Scikit-learn, TensorFlow, PyTorch, XGBoost, LightGBM, Hugging Face, MLflow, AWS, GCP, Azure", "professionalSkills" : [ "Business intelligence", "Data engineering", "ML/AI", "Analytics engineering", "Quantitative analysis", "Statistical methods", "Modelling skills" ], "hardSkillsList" : [ "Statistical analysis", "Regression analysis", "Classification", "Clustering", "Time-series analysis", "A/B testing", "Causal inference" ], "hardSkills" : [ { "name" : "Statistical analysis", "level" : "intermediate" }, { "name" : "Regression analysis", "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, Business intelligence, Data engineering, ML/AI", "majorSkillsList" : [ "Data science", "Business intelligence", "Data engineering", "ML/AI" ], "coreResponsibilities" : "Lead data science initiatives, Oversee business intelligence, Manage analytics engineering, Drive quantitative analysis, Develop statistical models, Implement ML frameworks, Build BI platforms, Manage cloud data stacks", "domainKnowledge" : "Cloud data stacks; ML frameworks; BI platforms; Statistical methods; Cloud data services", "domainList" : [ "cloud-data-stacks", "ml-frameworks", "bi-platforms", "statistical-methods", "cloud-data-services" ], "domainSpecificKnowledge" : [ "Cloud data stacks", "ML frameworks", "BI platforms", "Statistical methods", "Cloud data services" ], "toolProficiency" : [ "Tableau", "Power BI", "Looker", "Metabase", "Superset", "Qlik", "MicroStrategy", "AWS S3", "AWS Glue", "AWS SageMaker", "AWS Athena", "GCP Vertex AI", "Azure Synapse", "Azure ML Studio" ], "qualificationsBasic" : "Bachelor's degree, 5+ years experience, SQL proficiency", "qualificationsPreferred" : "PhD preferred, GCP Professional Data Engineer, AWS Data Analytics, Databricks Certified, Dbt Certified", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "summaryDescription" : "Research and Business Analytics Director. Skills: Data science, Business intelligence, Data engineering, ML/AI. Lead data science initiatives. 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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 - 6+ 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" : "Senior Manager, BizOps & Analytics at Jerry.ai. Skills: BizOps, Analytics, Data insights, Decision making. Define business questions. Push back on flawed questions", "createdAt" : "2026-06-16T00:28:11.598", "lastUpdated" : "2026-06-16T10:34:33.079", "ingestTimestamp" : "2026-06-16T00:28:11.598", "mongoId" : "6a305930f292fd229cf45a2a", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 170000, "salaryAnnualMax" : 210000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Data interpretation", "Data structuring", "Data pulling", "Direct communication", "BizOps", "Analytics", "Data insights", "Decision making", "First principles thinking", "Data analysis", "Problem solving", "Analytical insights", "Car ownership", "Home ownership", "Insurance", "Driving insights", "Diagnostics", "Repair marketplace", "Clickhouse", "Metabase", "Jupyter Hub", "GitHub" ], "skillCount" : 22, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Manager", "dataQualityScore" : 0.8888889, "_score" : 687.88074, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "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" : 681.5696, "daysOld" : 2, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Advertising" }, { "id" : "6a2c968f74d8ee00a098ff38", "title" : "Sales & Analytics Director - Walmart", "company" : "Monster Energy", "industry" : "Food & Beverage", "salary" : { "min" : 92400.0, "max" : 123200.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Arkansas, United States", "locations" : [ "Arkansas", "United States" ], "timestamp" : "2026-06-15T03:34:45.498", "fingerprint" : "85574ee658af8a3e392dabfdfafe6a182e1db71ac76fff13390493d27cf8c06c", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/monsterenergy/jobs/4236066009", "externalId" : "4236066009", "industryFunction" : { }, "structuredLocations" : [ { "state" : "Arkansas", "country" : "United States", "continent" : "na", "workMode" : "onsite" } ], "locationText" : "Arkansas, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 5, "experienceLevel" : "Director", "technicalSkills" : "PowerPoint, Excel, Outlook, Salesforce", "professionalSkills" : [ "Sales processes", "Client relationships", "Revenue generation", "Deal closure" ], "hardSkillsList" : [ "Data analysis" ], "hardSkills" : [ { "name" : "Data analysis", "level" : "intermediate" } ], "majorSkills" : "Sales, Analytics", "majorSkillsList" : [ "Sales", "Analytics" ], "coreResponsibilities" : "Resolve business issues, Resolve customer issues, Identify solutions, Recommend improvements", "teamCollaboration" : "Collaborating within a team", "domainKnowledge" : "Beverage industry; Consumer Packaged Goods (CPG); Walmart Data Ventures; Global Replenishment Systems (GRS); Demand Forecasting; Nielsen/IRI", "domainList" : [ "beverage-industry", "consumer-packaged-goods-cpg", "walmart-data-ventures", "global-replenishment-systems-grs", "demand-forecasting", "nielsen-iri" ], "domainSpecificKnowledge" : [ "Beverage industry", "Consumer Packaged Goods (CPG)", "Walmart Data Ventures", "Global Replenishment Systems (GRS)", "Demand Forecasting", "Nielsen/IRI" ], "toolProficiency" : [ "Salesforce", "Nielsen", "IRI" ], "problemSolvingSkills" : "Analytical skills", "qualificationsBasic" : "Bachelor's Degree in Business, Marketing, or Finance", "qualificationsPreferred" : "More than 5 years of experience in beverage industry, More than 5 years of experience in CPG, More than 5 years of experience in collaborating within a team, PowerPoint, Excel, Outlook, Salesforce, Walmart Data Ventures: Scintilla, Walmart Global Replenishment Systems (GRS), Walmart Demand Forecasting, Walmart Online Pickup and Delivery (OPD) Metrics, Nielsen/IRI, Artificial Intelligence", "rawDescription" : "About Monster Energy: Forget about blending in. That's not our style. We're the risk takers, the trailblazers, the game-changers. We're not perfect and we don't pretend to be. We're raw, unfiltered, and a bit unconventional. Our drive is just like our athletes, unrivaled. The power is in your hands to define what success looks like and where you want to take your career. It's not just about what we do, but about who we become on along the way. We are much more than a brand here. We are a way of life, a mindset. Join us. A Day in the Life: As Director of Sales taking immediate action to proactively resolve business and/or customer related issues by identifying and recommending solutions and improvements Who You Are: Prefer a Bachelor's Degree in the field of -- Business, Marketing, or Finance or related field of study Additional Experience Desired: More than 5 years of experience in beverage industry, Consumer Packaged Goods (CPG) Additional Experience Desired: More than 5 years of experience in collaborating within a team Computer Skills Desired: PowerPoint, Excel, Outlook, Salesforce Additional Knowledge or Skills to be Successful in this role: Walmart Data Ventures: Scintilla, Global Replenishment Systems (GRS) Demand Forecasting, and Online Pickup and Delivery (OPD) Metrics, Nielsen/IRI, Artificial Intelligence (AI) platforms Monster Energy provides competitive total compensation. The estimated annual salary range for this position is listed below. Actual compensation may vary based on skills, qualifications, experience, and work location. Pay Range $92,400—$123,200 USD For United States applicants: Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor. Read our privacy policy here: Privacy Policy", "summaryDescription" : "Sales & Analytics Director - Walmart at Monster Energy. Skills: Sales, Analytics. Resolve business issues. Resolve customer issues", "postedDate" : "2026-06-14T02:35:54.154", "createdAt" : "2026-06-14T02:35:54.154", "lastUpdated" : "2026-06-15T03:34:45.498", "ingestTimestamp" : "2026-06-14T02:35:54.154", "mongoId" : "6a2c968f74d8ee00a098ff38", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 92400, "salaryAnnualMax" : 123200, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ "Data analysis", "Sales", "Analytics", "Sales processes", "Client relationships", "Revenue generation", "Deal closure", "Beverage industry", "Consumer Packaged Goods (CPG)", "Walmart Data Ventures", "Global Replenishment Systems (GRS)", "Demand Forecasting", "Nielsen/IRI", "Salesforce", "Nielsen", "IRI" ], "skillCount" : 16, "jobCategory" : "sales", "jobSubcategory" : "revenue", "seniorityLevel" : "Director", "dataQualityScore" : 1.0, "_score" : 678.8695, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Food & Beverage", "llmIndustryConfidence" : 0.95 }, { "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" : 674.93945, "daysOld" : 3, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Marketing" }, { "id" : "69fe94fe4c40e2acd11218a5", "title" : "Director, Product Analytics", "company" : "Audible, Inc.", "industry" : "Business Intelligence, Business Intel Engineer, subsidiaries", "salary" : { "min" : 143000.0, "max" : 194000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Newark, New Jersey, USA", "locations" : [ "Newark, New Jersey, USA" ], "timestamp" : "2026-06-14T22:29:20.411", "fingerprint" : "fa534deb656e12471178067135ca6f3e9a55b772002df0c16bdc7170f2f170fd", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10414716/apply", "externalId" : "f53ff086-079f-4e5a-97eb-3a3329e73e9d", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Newark", "state" : "New Jersey", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "40.7356570,-74.1723667" } ], "locationText" : "Newark, New Jersey, United States", "employmentType" : "FULL_TIME", "experienceLevel" : "Director", "technicalSkills" : "SQL, Python, Tableau", "professionalSkills" : [ "Business acumen", "System inter-dependencies", "Data governance" ], "hardSkillsList" : [ "Data analysis", "Analytical methodologies", "Measurement frameworks", "KPI framework", "Testable structure", "Process improvement" ], "softSkillsList" : [ "Leadership" ], "hardSkills" : [ { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Analytical methodologies", "level" : "intermediate" }, { "name" : "Measurement frameworks", "level" : "intermediate" }, { "name" : "KPI framework", "level" : "intermediate" }, { "name" : "Testable structure", "level" : "intermediate" }, { "name" : "Process improvement", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" } ], "majorSkills" : "Product analytics, Data insights, Business strategy", "majorSkillsList" : [ "Product analytics", "Data insights", "Business strategy" ], "coreResponsibilities" : "Define measurement approaches, Execute measurement approaches, Define optimization approaches, Execute optimization approaches, Identify relevant data sources, Leverage analytical methodologies, Create KPI frameworks, Instrument KPI frameworks, Partner with Product leaders, Partner with Engineering leaders, Partner with Business leaders, Define success metrics, Define measurement frameworks, Lead analytics initiatives, Serve as strategic thought partner, Deliver accurate analysis, Deliver insightful analysis, Build reports, Maintain reports, Build dashboards, Maintain dashboards, Build tools, Maintain tools, Write compelling documents, Deliver crisp presentations, Translate complex problems", "teamCollaboration" : "Cross-functional analytics initiatives; 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. Execute measurement approaches", "postedDate" : "2026-06-13T04:45:02.775", "createdAt" : "2026-06-13T04:45:02.775", "lastUpdated" : "2026-06-14T22:29:20.411", "ingestTimestamp" : "2026-06-13T04:45:02.775", "mongoId" : "69fe94fe4c40e2acd11218a5", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.jobs/jobs/10414716/apply", "salaryAnnualMin" : 143000, "salaryAnnualMax" : 194000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Data analysis", "Analytical methodologies", "Measurement frameworks", "KPI framework", "Testable structure", "Process improvement", "Leadership", "Product analytics", "Data insights", "Business strategy", "Business acumen", "System inter-dependencies", "Data governance", "Cross functional projects", "Product strategy", "Excel", "Pivot Tables", "SQL", "Tableau" ], "skillCount" : 19, "jobCategory" : "other", "dataQualityScore" : 1.0, "_score" : 673.58685, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true } ], "status" : 200, "message" : "OK", "pagination" : { "page" : 0, "limit" : 50, "totalCount" : 80437, "totalPages" : 1609, "hasNext" : true, "hasPrevious" : false } }

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Director Analytics WOTC

Senior Associate, BizOps & Analytics

Senior Associate, BizOps & Analytics

Sr Director, Enterprise Data & Analytics

Senior Associate, BizOps & Analytics

Director of Product - Data Platform and Decision Tooling

Senior Associate, BizOps & Analytics

Senior Associate, BizOps & Analytics

Director, Revenue Intelligence & Analytics

Director, Revenue Strategy & Analytics

Associate Director, Business Analytics

Sr Director, Enterprise Data & Analytics

Manager, BizOps & Analytics