{ "count" : 58873, "data" : [ { "id" : "6a2c6af374d8ee00a090f628", "title" : "Data Quality Data Analyst", "company" : "Capco", "industry" : "Consulting", "salary" : { "min" : 120000.0, "max" : 180000.0, "currency" : "PLN", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for a Mid-level Data Quality Data Analyst in Krakow, Poland, with adjustments for the consulting industry and company size." }, "location" : "Poland", "locations" : [ "Poland" ], "timestamp" : "2026-06-16T00:55:31.423", "fingerprint" : "5c743ab6cde29550097dbad4c3616808091c0f263e1d975fe2d8a6eeb23d1234", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/capco/jobs/8002462", "externalId" : "8002462", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Krakow", "country" : "Poland", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "50.0619474,19.9368564" }, { "city" : "Warsaw", "country" : "Poland", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "52.2333742,21.0711489" } ], "locationText" : "Krakow, Poland; Warsaw, Poland", "employmentType" : "CONTRACT", "experienceMinYears" : 2, "experienceMaxYears" : 5, "experienceLevel" : "Mid", "technicalSkills" : "SQL, Python", "professionalSkills" : [ "Data manipulation", "Root cause analysis" ], "hardSkillsList" : [ "Data Quality", "Data analysis", "Data extraction", "Data transformation", "Data joining", "Data manipulation", "Data validation", "Data reconciliation" ], "hardSkills" : [ { "name" : "Data Quality", "level" : "intermediate" }, { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Data extraction", "level" : "intermediate" }, { "name" : "Data transformation", "level" : "intermediate" }, { "name" : "Data joining", "level" : "intermediate" }, { "name" : "Data manipulation", "level" : "intermediate" }, { "name" : "Data validation", "level" : "intermediate" }, { "name" : "Data reconciliation", "level" : "intermediate" } ], "majorSkills" : "Data Quality, Data analysis, SQL", "majorSkillsList" : [ "Data Quality", "Data analysis", "SQL" ], "coreResponsibilities" : "Support Data Quality initiatives, Analyze datasets, Understand datasets, Assess datasets, Identify data quality issues, Identify opportunities for improvement, Perform data extraction, Perform data transformation, Perform data joining, Perform data manipulation, Contribute to DRR decommissioning process, Ensure data integrity, Ensure data continuity, Collaborate with business stakeholders, Collaborate with data engineers, Collaborate with technology teams, Define data solutions, Implement data solutions, Conduct data validation, Conduct data reconciliation, Conduct root cause analysis, Document data flows, Document data quality controls, Document analytical findings", "teamCollaboration" : "Collaborate with business stakeholders; Collaborate with data engineers; Collaborate with technology teams", "domainKnowledge" : "Financial services; Banking; Credit; Credit domain", "domainList" : [ "financial-services", "banking", "credit", "credit-domain" ], "domainSpecificKnowledge" : [ "Financial services", "Banking", "Credit", "Credit domain" ], "toolProficiency" : [ "Jupyter Notebooks" ], "communicationSkills" : "Communicate technical findings", "documentationSkills" : "Document data flows; Document data quality controls; Document analytical findings", "problemSolvingSkills" : "Analytical capabilities; Problem-solving capabilities; Root cause analysis", "qualificationsBasic" : "Experience in Data Quality, Data analysis roles, Understand, join, transform, and manipulate datasets, Advanced SQL, Data querying skills, Python, Jupyter Notebooks, Analytical and problem-solving capabilities, Ability to communicate technical findings", "qualificationsPreferred" : "Experience with Prophecy, Data migration experience, Application decommissioning experience, System retirement projects experience, Knowledge of data governance, Data quality frameworks knowledge", "workSiteFlexibility" : "Flexible", "rawDescription" : "Data Analyst – Data Quality (Financial services/Credit) Location: Krakow or Warsaw preferred Capco a Wipro Company Capco a Wipro Company is a leading global technology and management consultancy, dedicated to driving digital transformation across the financial services industry. Our passion lies in helping our clients navigate the complexities of the financial world, and our expertise spans banking and payments, capital markets, wealth, and asset management. We pride ourselves on maintaining a nimble, agile, and entrepreneurial culture, and we are committed to growing our business by hiring top talent. Role Overview We are seeking an experienced Data Analyst with strong Data Quality (DQ) expertise to join us. The successful candidate will initially focus on data quality initiatives and will gradually transition into supporting the DRR decommissioning (demise) process. This role requires strong analytical skills, hands-on data manipulation experience, and the ability to work with complex datasets across multiple sources. Key Responsibilities Support Data Quality (DQ) initiatives within the Credit domain. Analyze, understand, and assess large and complex datasets to identify data quality issues and opportunities for improvement. Perform data extraction, transformation, joining, and manipulation activities to support business and regulatory requirements. Contribute to the DRR decommissioning process, ensuring data integrity and continuity throughout the transition. Collaborate with business stakeholders, data engineers, and technology teams to define and implement data solutions. Conduct data validation, reconciliation, and root cause analysis activities. Document data flows, data quality controls, and analytical findings. Required Skills & Experience Strong experience in Data Quality and data analysis roles. Proven ability to understand, join, transform, and manipulate datasets from multiple sources. Advanced SQL and data querying skills. Hands-on experience with Python, particularly using Jupyter Notebooks for data analysis and exploration. Strong analytical and problem-solving capabilities. Experience working within financial services, banking, or credit-related domains is highly desirable. Ability to communicate technical findings effectively to both technical and non-technical stakeholders. Preferred Skills Experience with Prophecy would be advantageous. Exposure to data migration, application decommissioning, or system retirement projects. Knowledge of data governance and data quality frameworks. Candidate Profile Strong Data Quality practitioner with a data-focused mindset. Comfortable working independently and managing complex analytical tasks. Detail-oriented with a strong focus on data accuracy and integrity. Proactive, collaborative, and adaptable in a changing project environment. We offer a flexible collaboration model based on a B2B contract, with the opportunity to work on diverse projects. Recruitment Process: HR Interview Hiring Manager Technical Interview Client Interview Feedback and offer We have been informed of several recruitment scams targeting the public. We strongly advise you to verify identities before engaging in recruitment related communication. All official Capco communication will be conducted via a Capco recruiter. #LI-Hybrid", "summaryDescription" : "Data Quality Data Analyst at Capco. Skills: Data Quality, Data analysis, SQL. Support Data Quality initiatives. Analyze datasets", "postedDate" : "2026-06-14T20:08:06.986", "createdAt" : "2026-06-14T20:08:06.986", "lastUpdated" : "2026-06-16T00:55:31.423", "ingestTimestamp" : "2026-06-14T20:08:06.986", "mongoId" : "6a2c6af374d8ee00a090f628", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "100k-150k", "hasSalary" : false, "allSkills" : [ "Data Quality", "Data analysis", "Data extraction", "Data transformation", "Data joining", "Data manipulation", "Data validation", "Data reconciliation", "SQL", "Root cause analysis", "Financial services", "Banking", "Credit", "Credit domain", "Jupyter Notebooks" ], "skillCount" : 15, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Mid", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Consulting", "llmIndustryConfidence" : 0.95 }, { "id" : "6a307f57f292fd229c058281", "title" : "Senior Data and Analytics Engineer", "company" : "Velir", "salary" : { "min" : 160000.0, "max" : 175000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Remote", "locations" : [ "Remote" ], "certifications" : [ "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified" ], "timestamp" : "2026-06-16T10:32:01.810", "fingerprint" : "94ede4f511c38a9621a1a064142cdbb189de1e740bcae1d22083fe7aee1c9284", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/velir/jobs/5262333008", "externalId" : "5262333008", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Bulgaria", "continent" : "eu", "workMode" : "remote" } ], "locationText" : "Bulgaria", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "SQL, Python, Spark, Dbt, Snowflake, BigQuery, Databricks, AWS, GCP, Azure, SageMaker, Vertex AI, ML Studio, Scikit-learn, TensorFlow, PyTorch, XGBoost, LightGBM, Hugging Face, MLflow", "professionalSkills" : [ "Data engineering", "Data modeling", "ETL development", "Data warehousing", "Business intelligence", "Analytics engineering", "Quantitative analysis", "Machine learning", "AI development" ], "hardSkillsList" : [ "Data pipeline development", "Database management", "Cloud data platforms", "Machine learning models", "Statistical analysis", "A/B testing", "Causal inference" ], "hardSkills" : [ { "name" : "Data pipeline development", "level" : "intermediate" }, { "name" : "Database management", "level" : "intermediate" }, { "name" : "Cloud data platforms", "level" : "intermediate" }, { "name" : "Machine learning models", "level" : "intermediate" }, { "name" : "Statistical analysis", "level" : "intermediate" }, { "name" : "A/B testing", "level" : "intermediate" }, { "name" : "Causal inference", "level" : "intermediate" } ], "majorSkills" : "Data engineering, Machine learning, Business intelligence, Analytics engineering", "majorSkillsList" : [ "Data engineering", "Machine learning", "Business intelligence", "Analytics engineering" ], "coreResponsibilities" : "Design data pipelines, Build data models, Develop ETL processes, Implement data warehousing solutions, Create business intelligence dashboards, Engineer analytics solutions, Develop and deploy machine learning models, Perform quantitative analysis, Conduct A/B testing, Apply causal inference techniques, Optimize data infrastructure, Ensure data quality and integrity, Collaborate with stakeholders", "teamCollaboration" : "Cross-functional teams; Data science teams; Engineering teams; Product teams; Business stakeholders", "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" : [ "Dbt Cloud", "MLflow", "Snowflake", "BigQuery", "Databricks", "AWS SageMaker", "GCP Vertex AI", "Azure ML Studio" ], "qualificationsBasic" : "5+ years of experience in data engineering, Proficiency in SQL, Experience with Python", "qualificationsPreferred" : "Master's degree preferred, Experience with dbt Cloud, Experience with MLflow, Experience with Databricks, Experience with Snowflake, Experience with BigQuery, Experience with AWS SageMaker, Experience with GCP Vertex AI, Experience with Azure ML Studio, GCP Professional Data Engineer certification, AWS Data Analytics certification, Databricks Certified certification, Dbt Certified certification", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "Velir is an established mid-sized agency with a top-tier portfolio of clients, ranging from the world’s largest non-profits to Fortune 500 brands. As of 2023, Velir acquired Brooklyn Data Company, a premier data and analytics consultancy focused on leadership, process improvement, implementation, and advanced analytics. At Velir, we believe people are our greatest asset. Our culture is built on a foundation of trust, collaboration, and continued improvement. We strive for excellence in everything we do, embracing challenges as opportunities for growth. Our success is driven by a shared passion for making a positive impact on our customers, our communities and each other. We are a remote first company that offers competitive pay and excellent benefits. Overview The Senior Data & Analytics Engineer will play a crucial role in helping our client organizations transform raw data into reliable, well-modeled assets that drive business decisions. This hybrid role bridges data engineering and analytics engineering — combining the infrastructure-building strengths of a data engineer with the transformation, modeling, and semantic layer expertise of an analytics engineer. Core responsibilities include Data Architecture Design, Data Modeling, ELT/ETL Development, Data Quality Assurance, and Scalability Optimization, with a strong emphasis on Databricks as the primary platform. Because our clients are mostly US-based organizations, we look for the ability to communicate with professional proficiency in English, verbally and in writing. Responsibilities Data & Analytics Engineering Expertise: You are responsible for building and maintaining the infrastructure and transformation layers that support the storing, movement, and modeling of data — enabling analysts, AI agents, and business stakeholders to confidently consume, interpret and take action. You will operate across both the data engineering and analytics engineering layers of the data stack, owning pipeline development and maintenance, as well as designing and building the resultant data models. Design, build, and maintain scalable data pipelines and ELT workflows, with Databricks as the primary platform Develop and maintain dbt models that are well-documented, tested, and structured for long-term maintainability Own data modeling decisions and methodology — defining entities, relationships, and grain — in collaboration with analytics and business stakeholders Consistently seek out and deliver on engagement-level vision, tasks, and problems Regularly delivers meaningful improvements to clients' data infrastructure and analytical capabilities Autonomous in approach and provides technical guidance to less experienced engineers Cross-Team Collaboration: You are responsible for collaborating with peers and other functional departments to develop and implement data strategies that support engagement goals and client needs. Collaborate with other data engineers and analytics engineers, data analysts, and clients on end-to-end data requirements Partner with clients and functional managers to plan for data engineering and modeling needs for product or feature launches Create processes and/or documentation templates that help cross-functional teams solve common data problems Drive data solution improvements that impact the client experience or empower internal stakeholders to do their jobs effectively Take initiative to identify, communicate, and solve important problems, coordinating with others on cross-cutting technical issues Project Delivery: You are responsible for ensuring that data engineering and analytics engineering projects are delivered on time, within scope, and within budget. Architect and design data systems and transformation layers using patterns that allow for iterative delivery and future scaling Proactively identify and address technical debt with careful evaluation of development cost Optimize for predictability and a regular cadence of deliverables Keep reliability, maintainability, and scalability of client systems top of mind Ability to identify and prioritize unowned or unglamorous work that enables the broader team to move faster Skills & Qualifications Proven experience as a Data Engineer, Analytics Engineer, or in a hybrid or generalist role, with a focus on designing and developing data pipelines and transformation layers Strong programming skills in Python and SQL Hands-on, deep expertise with Databricks — including Delta Lake, Unity Catalog, and Databricks workflows Strong proficiency with dbt for data transformation, testing, and documentation Demonstrated experience in data modeling — including dimensional modeling, entity-relationship design, and semantic layer development Deep knowledge of data warehousing and ELT/ETL processes Familiarity with data integration and orchestration platforms (e.g., Fivetran, Apache Airflow, Azure Data Factory) Experience with cloud platforms such as AWS, Azure, or Google Cloud Experience with other cloud data warehouses such as Snowflake or Motherduck is a plus Experience with streaming solutions such as Spark Streaming or Kafka is desirable but not required Familiarity with MLOps techniques and platforms is a plus but not required Strong analytical and problem-solving skills Excellent communication and collaboration skills Familiarity with leveraging coding assistants such as Claude Code, CoPilot, and/or Codex is a plus Physical Requirements Frequent sitting at a desk performing work on a computer Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions Compensation Range: $160,000 - 175,000 annually Please note that compensation packages are finalized after the interview process is concluded. We use a competency-based approach to base pay, which means it is based on the competencies and skills demonstrated for this role. Core Company Values Take the Long View - Ensure the company is built to last Be Courageous - Make the right decisions even when they aren't the easiest decisions Be Genuine - Bring honesty and authenticity to all that you do Work with Focus + Passion - Display purpose and pride in your work and never stop learning As an equal opportunity employer, we are firmly committing to diversity, equity, and inclusion in our hiring efforts. We recognize that we need team members from all backgrounds and experiences to successfully shape a positive employee experience as well as deliver our product and service solutions. To that end, we actively seek candidates who can bring diverse experiences and backgrounds to our team. We know that complex factors and systemic bias can get in the way of us meeting strong candidates, so please don't hesitate to apply even if you're not 100% sure. At this time, Velir does not sponsor candidates and unfortunately cannot accept those on OPT or CPT.", "summaryDescription" : "Senior Data and Analytics Engineer at Velir. Skills: Data engineering, Machine learning, Business intelligence, Analytics engineering. Design data pipelines. Build data models", "postedDate" : "2026-06-16T01:18:38.223", "createdAt" : "2026-06-16T01:18:38.223", "lastUpdated" : "2026-06-16T10:32:01.810", "ingestTimestamp" : "2026-06-16T01:18:38.223", "mongoId" : "6a307f57f292fd229c058281", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 160000, "salaryAnnualMax" : 175000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Data pipeline development", "Database management", "Cloud data platforms", "Machine learning models", "Statistical analysis", "A/B testing", "Causal inference", "Data engineering", "Machine learning", "Business intelligence", "Analytics engineering", "Data modeling", "ETL development", "Data warehousing", "Quantitative analysis", "AI development", "Cloud data stacks", "ML frameworks", "BI platforms", "Statistical methods", "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified", "Dbt Cloud", "MLflow", "Snowflake", "BigQuery", "Databricks", "AWS SageMaker", "GCP Vertex AI", "Azure ML Studio" ], "skillCount" : 32, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Senior", "dataQualityScore" : 1.0, "daysOld" : 0, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a3066fff292fd229cfb805a", "title" : "Manager, International Data and Strategy", "company" : "The National Football League", "industry" : "Sports & Fitness", "salary" : { "min" : 125000.0, "max" : 160000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "New York, New York, United States", "locations" : [ "New York", "New York", "United States" ], "certifications" : [ "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified" ], "timestamp" : "2026-06-16T11:06:39.308", "fingerprint" : "e94f06cfdc68def5c408265f1856d6fe9ae9b66f2e39878d1bcb2aa5fb6e5d61", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/nflcareers/jobs/5263067008", "externalId" : "5263067008", "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", "minimumEducation" : "Master's", "experienceMinYears" : 5, "experienceLevel" : "Manager", "technicalSkills" : "AWS Redshift, Adobe Marketing Suite, AEP, AEM, AJO, Power BI, Tableau", "professionalSkills" : [ "Data strategy", "Product ownership", "Technical leadership" ], "hardSkillsList" : [ "Data governance", "Data lakes", "Cloud data platforms", "Regression", "Classification", "Clustering", "Time-series analysis", "A/B testing", "Causal inference" ], "softSkillsList" : [ "Leadership", "Influencing" ], "hardSkills" : [ { "name" : "Data governance", "level" : "intermediate" }, { "name" : "Data lakes", "level" : "intermediate" }, { "name" : "Cloud data platforms", "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" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Influencing" } ], "majorSkills" : "Data strategy, Product ownership, Technical leadership", "majorSkillsList" : [ "Data strategy", "Product ownership", "Technical leadership" ], "coreResponsibilities" : "Develop data strategy, Own product roadmaps, Lead technical initiatives, Manage enterprise-scale data initiatives, Oversee cloud data platforms, Oversee data lakes, Oversee governance frameworks, Ensure privacy and compliance, Manage consent data, Engage senior leaders, Work with technical partners, Motivate teams", "teamCollaboration" : "Cross-functional teams; Matrixed organization", "domainKnowledge" : "Fan engagement; Lifecycle marketing", "domainList" : [ "fan-engagement", "lifecycle-marketing" ], "domainSpecificKnowledge" : [ "Fan engagement", "Lifecycle marketing" ], "toolProficiency" : [ "AWS Redshift", "Adobe Marketing Suite", "Power BI", "Tableau" ], "communicationSkills" : "Senior leader engagement; Technical partner communication", "specialRequirements" : "No relocation assistance", "qualificationsBasic" : "5+ years in data strategy, 5+ years in product ownership, 5+ years in technical leadership, Master’s degree or higher, SQL proficiency, 5+ years of experience", "qualificationsPreferred" : "Advanced degree preferred, Experience with privacy and compliance standards, Experience with GDPR/CCPA, Experience with consent data management, Knowledge of sports or fan-focused businesses, Understanding of fan engagement, Understanding of lifecycle marketing, Experience with AWS Redshift, Experience with Adobe Marketing Suite, Experience with AEP, Experience with AEM, Experience with AJO, Experience with Power BI, Experience with Tableau, GCP Professional Data Engineer certification, AWS Data Analytics certification, Databricks Certified certification, Dbt Certified certification", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "We are seeking a highly motivated Manager, International Data advanced degree preferred. 5+ years in data strategy, product ownership, or technical leadership roles. Exposure to enterprise-scale data initiatives, including cloud data platforms, data lakes, and governance frameworks. Experience with privacy and compliance standards, including GDPR/CCPA and consent data management, is preferred. Knowledge of sports or fan-focused businesses, including an understanding of fan engagement and lifecycle marketing, is an advantage. Proven experience working with AWS Redshift, Adobe Marketing Suite (AEP, AEM, AJO), BI Tools like Power BI, Tableau in a production environment is a plus. Demonstrated track record of collaborating across cross-functional teams and influencing decisions in a matrixed organization without direct reporting authority. Excellent communication skills with a demonstrated ability to engage senior leaders, work effectively with technical partners, and motivate teams to achieve high performance. Other Key Attributes / Characteristics Master’s degree or higher in statistics, data science, computer science, or other data related fields Terms / Expected Hours of Work Limited Travel Salary / Pay Range This job posting contains a pay range, which represents the range of salaries or hourly rates that the NFL believes, in good faith, at the time of this posting that it might be willing to pay for the posted job in the location(s) specified. The NFL expects to hire for this position near the middle of the range. Only in truly rare and exceptional circumstances, where an external candidate has experience, credentials or expertise that far exceed those required or expected for the position, would the NFL consider paying a salary or rate near the higher end of the range. Salary $125,000—$160,000 USD Benefits Information To learn more about our comprehensive benefits offerings, please visit: NFL BENEFITS At the NFL, in-person work at our offices is a top priority because it allows us to collaborate more effectively, build stronger connections, and maintain the culture that drives our success. This role requires onsite presence at an NFL office or stadium location, and remote and/or hybrid working options are not offered. NO RELOCATION ASSISTANCE WILL BE PROVIDED. The NFL is committed to building an inclusive work environment that reflects our incredible fan base. We provide an environment of mutual respect where equal employment opportunities are available to all employees and applicants without regard to status as protected by applicable federal, state, and local laws. WHO WE ARE: NFL Core Values: Respect: Everyone matters. We celebrate diverse opinions, honor hard work, and value every contribution. Integrity: We do what's right, even when it's tough. We hold ourselves accountable and always follow through. Team Responsibility: We support each other and our communities. No one is bigger than the game, and every action impacts others. Resiliency: We set high standards, overcome adversity, and adapt to challenges, always striving for excellence. NFL Leadership Attributes: Build Talent: We develop and nurture potential, empowering individuals to grow and succeed. Execute: We take action with precision, delivering results that drive our goals forward. Inspire: We motivate others through vision, energy, and a commitment to excellence. Live Our Values: We embody our core principles in every decision and action. Know the Business: We stay informed, understand our industry, and make decisions that strengthen our position. 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: "MEET BENEVITY Benevity is the way the world does good, providing companies (and their employees) with technology to take social action on the issues they care about. Through giving, volunteering, grantmaking, employee resource groups and micro-actions, we help most of the Fortune 100 brands build better cultures and use their power for good. We’re also one of the first B Corporations in Canada, meaning we’re as committed to purpose as we are to profits. We have people working all over the world, including Canada, Spain, Switzerland, the United Kingdom, the United States and more! We are seeking a Director of Data and ML/AI Engineering to lead our data and AI technology strategy, architecture, and execution within our B2B SaaS Benevity Impact Platform. This role is pivotal in enabling data-driven decision-making, product intelligence, and AI-powered services and automation across our platform. The ideal candidate will have deep expertise in scalable data engineering, AI/ML systems and services, and cloud-based data architectures, with a track record of building highly available, real-time analytics, and ML/AI-driven solutions for SaaS platforms. This role will oversee data science, data modeling, business intelligence, governance, and ML/AI systems engineering, ensuring alignment with our client and business needs. What you’ll do: Leadership & Data Strategy - Define and execute the data and AI strategy for our SaaS platform, ensuring alignment with business objectives and customer needs. - Lead cross-functional teams across data engineering, AI/ML, BI, and governance to deliver scalable, high-impact solutions. - Establish data-as-a-product principles, ensuring data assets are secure, reusable, and monetizable within our platform. - Drive innovation in real-time analytics, AI-powered automation and intelligence for clients. - Partner with Product, Engineering, and Customer Success teams to enhance data-driven insights, reporting, and self-service analytics. Data Engineering & Platform Architecture - Design and oversee high-scale, cloud-native data architectures that support real-time streaming, data lakes / lakehouses, and enterprise warehousing. - Implement highly available, fault-tolerant data pipelines to process, store, and serve insights across the platform. - Lead data modeling initiatives to optimize data structures for analytics, ML training, and business reporting. - Work with engineering teams to embed AI-powered features into the SaaS platform, enabling smart automation, anomaly detection, and personalization. - Drive observability, monitoring, and cost optimization across our cloud-based data infrastructure. AI/ML Engineering & Data Science - Oversee the development of ML/AI models, ensuring they are scalable, explainable, and deployed effectively in production. - Implement MLOps best practices, including CI/CD for models, versioning, and real-time inference. - Lead initiatives in AI-powered recommendations, predictive analytics, NLP, and generative AI to enhance our product offerings. - Ensure bias-free, ethical AI practices and compliance with industry AI standards and regulations. Business Intelligence & Product Analytics - Build and manage BI tools, dashboards, and self-service analytics to provide real-time insights to clients and internal stakeholders. - Develop product analytics frameworks, tracking user behavior, adoption, and feature engagement. - Implement embedded analytics solutions that allow clients to gain actionable insights from their data. - Optimize reporting for SaaS metrics (MRR, ARR, churn, retention, LTV, NPS) and drive data-informed decision-making. Data Governance & Compliance - Own data governance frameworks, ensuring data privacy, security, and compliance (GDPR, SOC 2, PIPEDA, CCPA, etc.). - Define and implement data lineage, metadata management, and master data management (MDM) best practices. - Drive role-based access controls (RBAC, ABAC or ReBac) and ensure secure, auditable data sharing within our SaaS ecosystem. - Champion data democratization, enabling teams to access trusted, well-documented data. What you’ll bring: - 10+ years of experience in data engineering, AI/ML, or analytics leadership roles, ideally in B2B SaaS or cloud-based platforms - Strong expertise in scalable data architectures, ML/AI systems, and embedded analytics - Proven track record in leading high-performance teams, managing budgets, and delivering data-driven product innovations - Experience with multi-tenant SaaS data governance, compliance (SOC 2, GDPR, etc.), and customer-facing analytics - Familiarity with emerging AI trends, including LLMs, Generative AI, and responsible AI frameworks - Familiarity with SaaS product analytics and AI-powered automation use cases - Master’s or PhD in Computer Science, Data Science, AI/ML, or a related field is preferred Technical Skills & Expertise - Data & AI Stacks (Cloud-Native, SaaS-Optimized) - Data Engineering & Storage: BigQuery, Redshift, Delta Lake, Snowflake, Databricks - AI/ML Frameworks: Azure AI, TensorFlow, PyTorch, Hugging Face, MLflow, Vertex AI - MLOps & Pipelines: Kubeflow, SageMaker, Airflow, Feature Stores, DataRobot - BI & Analytics Tools: Looker, Power BI, Mode Analytics, Amplitude, Mixpanel - Data Governance & Security: Collibra, Informatica, Alation, Immuta - Cloud & DevOps: AWS (S3, Lambda, Kinesis), GCP (BigQuery, Pub/Sub), Kubernetes, Terraform - Programming: Python, SQL, Scala, Java - Streaming & Real-Time Data: Kafka, Flink, Apache Beam DISCOVER YOUR PURPOSE AT WORK We’re not employees, we’re Benevity-ites. From all locations, backgrounds and walks of life, who deserve more … Innovative work. Growth opportunities. Caring co-workers. And a chance to do work that fills us with a sense of purpose. If the idea of working on tech that helps people do good in the world lights you up ... If you want a career where you’re valued for who you are and challenged to see who you can become … It’s time to join Benevity. We’re so excited to meet you. WHERE WE WORK At Benevity, we embrace a flexible hybrid approach to where we work that empowers our people in a way that supports great work, strong relationships, and personal well-being. For those located near one of our offices, while there’s no set requirement for in-office time, we do value the moments when coming together in person helps us build connection and collaboration. Whether it’s for onboarding, project work, or a chance to align and bond as a team, we trust our people to make thoughtful decisions about when showing up in person matters most. JOIN A COMPANY WHERE DEIB ISN’T A BUZZWORD Diversity, equity, inclusion and belonging are part of Benevity’s DNA. You’ll see the impact of our massive investment in DEIB daily — from our well-supported employee resources groups to the exceptional diversity on our leadership and tech teams. We know that diverse backgrounds, experiences, skills and passions are what move our business and our people forward, so we're committed to creating a culture of belonging with equal opportunities for everyone to shine. That starts with a fair and accessible hiring process. If you want to feel seen, heard and celebrated, you belong at Benevity. 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Yet too often, the systems behind it fail when they're needed most. ClaimSorted is fixing that. ClaimSorted is rebuilding how insurance claims get handled. We run the entire claims operation for insurers – a model called Third-Party Administration (TPA), in a ~$200B industry that has barely changed in decades. We pair a world-class in-house claims team with an AI-native platform to deliver faster resolutions, better outcomes, and a fundamentally more humane experience for policyholders. Backed by Y Combinator, Atomico, and Eurazeo, we've raised $15M+ and already manage claims for over $200M in insurance premium across 50+ partners, including more than five publicly traded companies. The traction is real. The mission is urgent. And we're just getting started. THE ROLE Every month, some of the largest insurers in the world rely on ClaimSorted to provide accurate reporting data to support their operations. As a Claims Data Analyst, you'll own that reporting. 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Through giving, volunteering, grantmaking, employee resource groups and micro-actions, we help most of the Fortune 100 brands build better cultures and use their power for good. We’re also one of the first B Corporations in Canada, meaning we’re as committed to purpose as we are to profits. We have people working all over the world, including Canada, Spain, Switzerland, the United Kingdom, the United States and more! We are seeking a Director of Data and ML/AI Engineering to lead our data and AI technology strategy, architecture, and execution within our B2B SaaS Benevity Impact Platform. This role is pivotal in enabling data-driven decision-making, product intelligence, and AI-powered services and automation across our platform. The ideal candidate will have deep expertise in scalable data engineering, AI/ML systems and services, and cloud-based data architectures, with a track record of building highly available, real-time analytics, and ML/AI-driven solutions for SaaS platforms. This role will oversee data science, data modeling, business intelligence, governance, and ML/AI systems engineering, ensuring alignment with our client and business needs. What you’ll do: Leadership & Data Strategy - Define and execute the data and AI strategy for our SaaS platform, ensuring alignment with business objectives and customer needs. - Lead cross-functional teams across data engineering, AI/ML, BI, and governance to deliver scalable, high-impact solutions. - Establish data-as-a-product principles, ensuring data assets are secure, reusable, and monetizable within our platform. - Drive innovation in real-time analytics, AI-powered automation and intelligence for clients. - Partner with Product, Engineering, and Customer Success teams to enhance data-driven insights, reporting, and self-service analytics. Data Engineering & Platform Architecture - Design and oversee high-scale, cloud-native data architectures that support real-time streaming, data lakes / lakehouses, and enterprise warehousing. - Implement highly available, fault-tolerant data pipelines to process, store, and serve insights across the platform. - Lead data modeling initiatives to optimize data structures for analytics, ML training, and business reporting. - Work with engineering teams to embed AI-powered features into the SaaS platform, enabling smart automation, anomaly detection, and personalization. - Drive observability, monitoring, and cost optimization across our cloud-based data infrastructure. AI/ML Engineering & Data Science - Oversee the development of ML/AI models, ensuring they are scalable, explainable, and deployed effectively in production. - Implement MLOps best practices, including CI/CD for models, versioning, and real-time inference. - Lead initiatives in AI-powered recommendations, predictive analytics, NLP, and generative AI to enhance our product offerings. - Ensure bias-free, ethical AI practices and compliance with industry AI standards and regulations. Business Intelligence & Product Analytics - Build and manage BI tools, dashboards, and self-service analytics to provide real-time insights to clients and internal stakeholders. - Develop product analytics frameworks, tracking user behavior, adoption, and feature engagement. - Implement embedded analytics solutions that allow clients to gain actionable insights from their data. - Optimize reporting for SaaS metrics (MRR, ARR, churn, retention, LTV, NPS) and drive data-informed decision-making. Data Governance & Compliance - Own data governance frameworks, ensuring data privacy, security, and compliance (GDPR, SOC 2, PIPEDA, CCPA, etc.). - Define and implement data lineage, metadata management, and master data management (MDM) best practices. - Drive role-based access controls (RBAC, ABAC or ReBac) and ensure secure, auditable data sharing within our SaaS ecosystem. - Champion data democratization, enabling teams to access trusted, well-documented data. What you’ll bring: - 10+ years of experience in data engineering, AI/ML, or analytics leadership roles, ideally in B2B SaaS or cloud-based platforms - Strong expertise in scalable data architectures, ML/AI systems, and embedded analytics - Proven track record in leading high-performance teams, managing budgets, and delivering data-driven product innovations - Experience with multi-tenant SaaS data governance, compliance (SOC 2, GDPR, etc.), and customer-facing analytics - Familiarity with emerging AI trends, including LLMs, Generative AI, and responsible AI frameworks - Familiarity with SaaS product analytics and AI-powered automation use cases - Master’s or PhD in Computer Science, Data Science, AI/ML, or a related field is preferred Technical Skills & Expertise - Data & AI Stacks (Cloud-Native, SaaS-Optimized) - Data Engineering & Storage: BigQuery, Redshift, Delta Lake, Snowflake, Databricks - AI/ML Frameworks: Azure AI, TensorFlow, PyTorch, Hugging Face, MLflow, Vertex AI - MLOps & Pipelines: Kubeflow, SageMaker, Airflow, Feature Stores, DataRobot - BI & Analytics Tools: Looker, Power BI, Mode Analytics, Amplitude, Mixpanel - Data Governance & Security: Collibra, Informatica, Alation, Immuta - Cloud & DevOps: AWS (S3, Lambda, Kinesis), GCP (BigQuery, Pub/Sub), Kubernetes, Terraform - Programming: Python, SQL, Scala, Java - Streaming & Real-Time Data: Kafka, Flink, Apache Beam DISCOVER YOUR PURPOSE AT WORK We’re not employees, we’re Benevity-ites. From all locations, backgrounds and walks of life, who deserve more … Innovative work. Growth opportunities. Caring co-workers. And a chance to do work that fills us with a sense of purpose. If the idea of working on tech that helps people do good in the world lights you up ... If you want a career where you’re valued for who you are and challenged to see who you can become … It’s time to join Benevity. We’re so excited to meet you. WHERE WE WORK At Benevity, we embrace a flexible hybrid approach to where we work that empowers our people in a way that supports great work, strong relationships, and personal well-being. For those located near one of our offices, while there’s no set requirement for in-office time, we do value the moments when coming together in person helps us build connection and collaboration. Whether it’s for onboarding, project work, or a chance to align and bond as a team, we trust our people to make thoughtful decisions about when showing up in person matters most. JOIN A COMPANY WHERE DEIB ISN’T A BUZZWORD Diversity, equity, inclusion and belonging are part of Benevity’s DNA. You’ll see the impact of our massive investment in DEIB daily — from our well-supported employee resources groups to the exceptional diversity on our leadership and tech teams. We know that diverse backgrounds, experiences, skills and passions are what move our business and our people forward, so we're committed to creating a culture of belonging with equal opportunities for everyone to shine. That starts with a fair and accessible hiring process. If you want to feel seen, heard and celebrated, you belong at Benevity. 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Performance improvement", "qualificationsBasic" : "4 years-experience in data analytics, 4 years-experience in quality management, 4 years-experience in patient safety, Knowledge of healthcare quality metrics, Knowledge of CMS reporting, Knowledge of patient safety initiatives, Proficiency with data manipulation software, Experience with data visualization tools, Knowledge of data management applications, Proficiency in managing electronic medical records, Proficiency in data analysis, Proficiency in performance improvement methodologies, Ability to manage multiple projects, Ability to meet deadlines, Ability to communicate complex data, Bachelor's degree in related field", "qualificationsPreferred" : "Master's degree in nursing, Master's degree in Healthcare Administration, Certification in Healthcare Quality (CPHQ), Experience in a critical access hospital, Familiarity with DNV, Familiarity with CMS", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "**Pay Range:** The base pay range for this position is $38.75-$63.41 Hourly however, base pay offered may vary depending on job-related knowledge, skills, and experience. **Job Title:** Clinical Quality Data Analyst **Work Schedule for this Position:** Monday - Friday 8 am - 5 pm **Company Statement:** Pullman Regional is an innovative, patient-focused, multi-disciplinary based work environment where all members of the team contribute to the exceptional care of our patients and the community. **Position Overview:** The Healthcare Data Analyst is responsible for organizing and managing large and varied data sets and associated decision support tools, analyzing healthcare data to optimize business operations, and communicating the findings through the use of data visualization and detailed reports. Applies advanced level knowledge of clinical and financial analysis as well as systems technology to identify and design solutions with respect to clinical, operational and financial performance improvement. Demonstrates an understanding of database functionality and reporting tools, and knowledge of healthcare systems and processes. Demonstrates exceptional analytical capability to develop, design and execute prospective and retrospective analyses. Facilitates organizational reporting of clinical, operational and financial performance and monitoring outcomes of care processes. **A Day in the Life:** * Demonstrate knowledge of current trends and issues in the healthcare data analytics field. * Analyze data to assist in delivering optimal healthcare management and decision making. * Develop and maintain dashboards, scorecards, and reports for quality improvement initiatives. * Monitor hospital quality metrics and CMS Star Measures, patient safety indicators, infection prevention data, readmission rates, and patient satisfaction measures. * Support CMS Critical Access Hospital reporting requirements and other regulatory compliance activities. * Perform data abstraction, auditing, and validation to ensure accuracy and completeness of submissions. * Identify trends, variances, and opportunities for operational and clinical improvement. * Collaborate with department leaders, nursing staff, providers, and administration to support quality initiatives and performance improvement projects. * Prepare reports and presentations for QMS, Medical Staff, Board of Commissioners, and leadership meetings. * Assist with accreditation surveys, state audits, and quality benchmarking activities. * Maintain confidentiality and comply with HIPAA and hospital privacy policies. * Support implementation and optimization of reporting tools such as Power BI, Excel, Tableau, or EHR reporting systems. **About You!** **This Job is For You if You Have:** * A minimum of 4 years-experience in data analytics, quality management, patient safety, or associated field. * Knowledge of healthcare quality metrics, CMS reporting, and patient safety initiatives. * Proficiency with data manipulation software. * Experience with data visualization tools. * Knowledge of data management applications. * Proficiency in managing electronic medical records. * Proficiency in data analysis and performance improvement methodologies. * Ability to manage multiple projects and deadlines in a fast-paced healthcare environment. * Ability to communicate complex data clearly to clinical and non-clinical audiences. * Strong attention to detail and data accuracy. * Bachelor's degree in Healthcare Administration, Health Information Management, Public Health, Data Analytics, Nursing, Business, or related field preferred. * Associate’s degree in related field will be considered with relevant experience. **A Wow if You Have:** * Master’s degree in nursing, Healthcare Administration, or related field. * Certification in Healthcare Quality (CPHQ) is preferred or must be obtained within a set timeframe upon hiring. * Strong knowledge of clinical quality management, patient safety protocols, and infection control standards. * Previous experience in a critical access hospital setting. * Familiarity with accreditation bodies such as DNV or CMS. **Company Perks:** Our employees are our most important asset and that’s reflected in our benefits. Pullman Regional is proud to offer a variety of benefits to support employees and their families, including: * Medical/Vision, Dental, Health Savings Account, and Paid Leave Time * Employer Paid Life Insurance and Long-Term Disability * Retirement with Employer Matching Contributions * Voluntary Benefits that include: Life Insurance, Critical Illness, Accident Insurance, and Short-Term Disability * Services Discount and EAP Resources **A Few More Important Points:** The job posting highlights the most critical responsibilities and requirements of the job. It is not all-inclusive. There may be additional duties, responsibilities, and qualifications for this job. **Disability Contacts:** Applicants with disabilities who require assistance or accommodation should contact Human Resources at [humanresources@pullmanregional.org](mailto:humanresources@pullmanregional.org) **Current Pullman Regional Employees:** To apply, log into Workday, click the Jobs Hub button.", "summaryDescription" : "Clinical Quality Data Analyst at Pullman Regional. Skills: Healthcare data analytics, Data visualization, Reporting, Quality metrics. Organize data sets. Manage data sets", "postedDate" : "2026-06-16T03:47:11.094", "createdAt" : "2026-06-16T03:47:11.035", "lastUpdated" : "2026-06-16T13:07:51.874", "ingestTimestamp" : "2026-06-16T03:47:11.035", "mongoId" : "6a3056b1f292fd229cf2ccf9", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://pullmanregionalhospital.wd1.myworkdayjobs.com/Careers/job/Pullman-Regional-Hospital/Clinical-Quality-Data-Analyst_JR_26000208", "salaryAnnualMin" : 80600, "salaryAnnualMax" : 131892, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ "Data analytics", "Quality management", "Patient safety", "Data manipulation", "Data visualization", "Data management", "Electronic medical records", "Data analysis", "Performance improvement", "Healthcare data analytics", "Reporting", "Quality metrics", "Clinical analysis", "Financial analysis", "Systems technology", "Database functionality", "Reporting tools", "Healthcare systems", "Healthcare processes", "Prospective analyses", "Retrospective analyses", "Performance monitoring", "Quality improvement", "Regulatory compliance", "Data abstraction", "Data auditing", "Data validation", "Operational improvement", "Clinical improvement", "Performance improvement projects", "Accreditation surveys", "State audits", "Quality benchmarking", "Manage multiple projects", "Healthcare quality metrics", "CMS reporting", "Patient safety initiatives", "Clinical quality management", "Patient safety protocols", "Infection control standards", "Critical access hospital", "Accreditation bodies", "Certification in Healthcare Quality (CPHQ)", "Power BI", "Excel", "Tableau", "EHR reporting systems" ], "skillCount" : 47, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "mid", "dataQualityScore" : 0.8888889, "daysOld" : 0, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.98 }, { "id" : "6a30655af292fd229cfa72d3", "title" : "Robotics Data Quality Engineer", "company" : "xdof", "industry" : "Robotics", "salary" : { "min" : 125000.0, "max" : 175000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Robotics Data Quality Engineer in San Mateo, United States, adjusted for the technology industry and company size." }, "location" : "San Mateo Hybrid", "locations" : [ "San Mateo Hybrid" ], "timestamp" : "2026-06-16T12:38:38.818", "fingerprint" : "71689cf59637a0353ba554dfc62238b9f3574f3a5077e7b3c41472a315f0d917", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/xdof/73ac48fd-1c6d-4ff5-b16e-87c9f6ec382d/application", "externalId" : "73ac48fd-1c6d-4ff5-b16e-87c9f6ec382d", "industryFunction" : { }, "structuredLocations" : [ { "city" : "San Mateo", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "37.4969040,-122.3330573" } ], "locationText" : "San Mateo, California, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "technicalSkills" : "Python, Numpy, Pandas, Matplotlib, Plotly, Protobuf, HDF5, ROS bags", "professionalSkills" : [ "Data validation", "Data visualization", "Schema design", "Data formats", "Root cause analysis" ], "hardSkillsList" : [ "Spatial transformations", "Time-series analysis", "Signal processing" ], "hardSkills" : [ { "name" : "Spatial transformations", "level" : "intermediate" }, { "name" : "Time-series analysis", "level" : "intermediate" }, { "name" : "Signal processing", "level" : "intermediate" } ], "majorSkills" : "Data quality, Robotics data, Data validation, Data pipelines", "majorSkillsList" : [ "Data quality", "Robotics data", "Data validation", "Data pipelines" ], "coreResponsibilities" : "Analyze robotics data, Identify quality issues, Plot joint velocities, Validate camera poses, Check gripper encoder accuracy, Flag anomalous collection sessions, Build automated validation pipelines, Design data formats, Document data formats, Design schemas, Document schemas, Ensure consistency, Ensure versioning, Build data visualization tools, Build dashboards, Validate cross-modal temporal alignment, Synchronize timestamps, Detect dropped frames, Detect clock drift, Define quality metrics, Define quality thresholds, Track data quality improvement, Track data quality degradation, Catalog edge cases, Catalog failure modes, Trace quality issues, Identify root cause", "teamCollaboration" : "Work with partners; Work with internal researchers; Work with data collection operators", "domainKnowledge" : "Robotics; 3D geometry; Coordinate frames; Spatial transformations; Physical systems; Teleoperation systems; Motion capture; Egocentric data collection; Signal processing; Sensor fusion; Time-series analysis; Data versioning; Schema migration; 0->1 environments", "domainList" : [ "robotics", "3d-geometry", "coordinate-frames", "spatial-transformations", "physical-systems", "teleoperation-systems", "motion-capture", "egocentric-data-collection", "signal-processing", "sensor-fusion", "time-series-analysis", "data-versioning", "schema-migration", "0-1-environments" ], "domainSpecificKnowledge" : [ "Robotics", "3D geometry", "Coordinate frames", "Spatial transformations", "Physical systems", "Teleoperation systems", "Motion capture", "Egocentric data collection", "Signal processing", "Sensor fusion", "Time-series analysis", "Data versioning", "Schema migration", "0->1 environments" ], "documentationSkills" : "Document data formats; Document schemas", "problemSolvingSkills" : "Root cause analysis", "qualificationsBasic" : "Bachelor's or Master's degree, Python data skills, Comfort working with large datasets, Solid understanding of 3D geometry, Solid understanding of coordinate frames, Solid understanding of spatial transformations, Intuition for physical systems", "qualificationsPreferred" : "Hands-on experience with robotics data, Experience with teleoperation systems, Experience with motion capture, Experience with egocentric data collection, Experience with signal processing, Experience with sensor fusion, Experience with time-series analysis, Built internal data visualization tools, Worked on data versioning, Worked on data lineage tracking, Worked on schema migration, Comfortable working in 0->1 environments, Mission-driven, Passionate about robotics", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "At xdof, we’re at an inflection point. Frontier labs are racing to build general-purpose robots, and high-quality training data is the bottleneck. We’re building the foundation behind the foundation models – the data collection systems, operational capability, exabyte-scale data warehouse, and software toolchain – to help our partners drive the field forward. The models are only as good as the data. We’re looking for a Robotics Data Quality Engineer to be the person who knows whether our data is trustworthy, across every modality we collect. You’ll analyze, validate, and build tooling around data from teleoperation on real hardware, egocentric capture, UMI-style grippers, and more. If something is wrong with the data, you’re the first to catch it and the one who helps us fix the process. What You’ll Do Data quality engineers are the bridge between raw collection and usable training data. Sample projects include: - analyzing robotics data across modalities to identify quality issues: plotting joint velocities, validating camera poses, checking gripper encoder accuracy, and flagging anomalous collection sessions - building automated validation pipelines that run on ingestion and catch problems before data enters the warehouse - designing and documenting data formats and schemas across collection modalities, ensuring they are consistent, versioned, and well-understood by partners and internal researchers - building data visualization tools and dashboards so the broader team can inspect and understand the data without writing custom scripts - validating cross-modal temporal alignment, including timestamp synchronization, dropped frame detection, and clock drift across camera, joint, and gripper streams - defining quality metrics and thresholds per modality and tracking whether data quality is improving or degrading as collection scales - cataloging edge cases and failure modes into a shared taxonomy so the team has a common language for data issues - working closely with data collection operators to trace quality issues back to their root cause, whether systemic (hardware calibration, sensor drift) or operator-specific About You Baseline skills: - bachelor’s or master’s degree (or equivalent experience) in robotics, computer science, mechanical engineering, or a related field - strong Python data skills (numpy, pandas, matplotlib or plotly) and comfort working with large, messy datasets - solid understanding of 3D geometry, coordinate frames, and spatial transformations - intuition for physical systems: you can look at a trajectory or a joint velocity plot and tell when something is off - experience designing or working with structured data formats (protobuf, HDF5, ROS bags, or similar) You might be a good fit if you: - have hands-on experience with robotics data, whether from a research lab, a robotics startup, or a manipulation/locomotion project - have worked with teleoperation systems, motion capture, or egocentric data collection - have experience with signal processing, sensor fusion, or time-series analysis - have built internal data visualization tools or dashboards for technical teams - have worked on data versioning, lineage tracking, or schema migration in a production setting - are very comfortable working in 0→1 environments - are mission-driven and passionate about robotics: work at xdof is fast-paced and constant. We hope you love what you’re going to be doing, because you’ll be doing a lot of it!", "summaryDescription" : "Robotics Data Quality Engineer at xdof. Skills: Data quality, Robotics data, Data validation, Data pipelines. Analyze robotics data. Identify quality issues", "createdAt" : "2026-06-16T00:28:18.617", "lastUpdated" : "2026-06-16T12:38:38.818", "ingestTimestamp" : "2026-06-16T00:28:18.617", "mongoId" : "6a30655af292fd229cfa72d3", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 125000, "salaryAnnualMax" : 175000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Spatial transformations", "Time-series analysis", "Signal processing", "Data quality", "Robotics data", "Data validation", "Data pipelines", "Data visualization", "Schema design", "Data formats", "Root cause analysis", "Robotics", "3D geometry", "Coordinate frames", "Physical systems", "Teleoperation systems", "Motion capture", "Egocentric data collection", "Sensor fusion", "Data versioning", "Schema migration", "0->1 environments" ], "skillCount" : 22, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Mid", "dataQualityScore" : 0.7777778, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a3087a4f292fd229c08b1f8", "title" : "Business Analyst, Data Masking and Compliance", "company" : "Capco", "industry" : "Consulting", "salary" : { "min" : 118000.0, "max" : 152000.0, "currency" : "CAD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Canada - Toronto", "locations" : [ "Canada - Toronto" ], "timestamp" : "2026-06-16T12:32:44.174", "fingerprint" : "f519232f48132c719665d37d19932956dfa1532fec2df391bf8a340f99776803", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/capco/jobs/8003346", "externalId" : "8003346", "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", "professionalSkills" : [ "Data governance", "Risk remediation", "Stakeholder management", "Data analysis", "Process design", "Process engineering", "Operational improvement" ], "hardSkillsList" : [ "Data masking standards", "Evidence collection", "Compliance reporting", "Governance metrics" ], "hardSkills" : [ { "name" : "Data masking standards", "level" : "intermediate" }, { "name" : "Evidence collection", "level" : "intermediate" }, { "name" : "Compliance reporting", "level" : "intermediate" }, { "name" : "Governance metrics", "level" : "intermediate" } ], "majorSkills" : "Data masking, Compliance, Risk remediation, Data governance", "majorSkillsList" : [ "Data masking", "Compliance", "Risk remediation", "Data governance" ], "coreResponsibilities" : "Assess applications against data masking standards, Identify compliance gaps, Identify remediation requirements, Partner with application owners, Understand application processes, Understand data flows, Understand masking requirements, Design evidence collection processes, Implement evidence collection processes, Demonstrate compliance through objective testing, Facilitate stakeholder discussions, Align business requirements with standards, Support adoption of required controls, Create compliance reporting, Track status, Generate governance metrics", "teamCollaboration" : "Partnering with stakeholders; Bridging business and technology teams; Application owners; Business stakeholders; Senior stakeholders", "projectManagementSkills" : [ "Audit remediation" ], "domainKnowledge" : "Data masking; Data governance; Banking; Payments; Enterprise technology; Risk management; Operational risk", "domainList" : [ "data-masking", "data-governance", "banking", "payments", "enterprise-technology", "risk-management", "operational-risk" ], "domainSpecificKnowledge" : [ "Data masking", "Data governance", "Banking", "Payments", "Enterprise technology", "Risk management", "Operational risk" ], "communicationSkills" : "Stakeholder communication", "continuousLearning" : "Professional development; Industry-leading expertise", "problemSolvingSkills" : "Translating standards; Practical requirements", "outcomesObjectives" : "Strengthen data governance practices; Contribute to risk remediation program", "qualificationsBasic" : "Experience delivering risk, compliance, audit remediation, data governance, or regulatory change initiatives within financial services, Stakeholder management and communication skills, Ability to understand business processes, Experience performing data analysis, Process design, process engineering, or operational improvement experience", "qualificationsPreferred" : "Experience with data masking, Experience with data protection, Experience with privacy controls, Experience with information security programs, Knowledge of banking, Knowledge of payments, Knowledge of enterprise technology environments, Familiarity with audit remediation programs, Familiarity with regulatory examinations, Familiarity with control testing frameworks, Experience designing governance reporting, Experience designing compliance dashboards, Experience designing executive-level status reporting, Understanding of risk management frameworks, Understanding of operational risk practices", "rawDescription" : "Drive Enterprise Risk Remediation Through Data Governance Excellence The Role Capco is seeking a Business Analyst, Data Masking and Compliance to support a critical enterprise audit remediation initiative within a leading financial institution. This newly created role will focus on assessing application compliance against enterprise data masking standards, partnering with stakeholders to drive adoption, and establishing sustainable evidence collection and reporting processes. You will play a key role in bridging business and technology teams, helping application owners understand compliance requirements while ensuring regulatory and audit expectations are met. This is an opportunity to influence enterprise-wide controls, strengthen data governance practices, and contribute to a high-profile risk remediation program. What You’ll Do Assess and prioritize applications requiring review against enterprise data masking standards, identifying compliance gaps and remediation requirements. Partner with application owners and business stakeholders to understand application processes, data flows, and masking requirements. Design and implement evidence collection and validation processes that demonstrate compliance through objective testing rather than attestation alone. Facilitate stakeholder discussions to align business requirements with enterprise standards while supporting adoption of required controls. Create compliance reporting, status tracking, and governance metrics that integrate with broader audit remediation KRIs and KPIs. What We’re Looking For Experience delivering risk, compliance, audit remediation, data governance, or regulatory change initiatives within financial services. Strong stakeholder management and communication skills with the ability to build trust, influence outcomes, and navigate competing priorities. Ability to understand business processes and translate enterprise standards into practical application-level requirements. Experience performing data analysis and interpreting data flows, controls, and compliance requirements. Process design, process engineering, or operational improvement experience with a focus on scalable control frameworks. Bonus Points For Experience with data masking, data protection, privacy controls, or information security programs. Knowledge of banking, payments, and enterprise technology environments. Familiarity with audit remediation programs, regulatory examinations, or control testing frameworks. Experience designing governance reporting, compliance dashboards, and executive-level status reporting. Understanding of risk management frameworks and operational risk practices within large financial institutions. Why Join Capco Work on high-impact regulatory and risk transformation initiatives for leading financial institutions. Partner with senior stakeholders across business, technology, risk, and compliance functions. Join a collaborative, entrepreneurial consulting culture that values innovation and practical problem-solving. Access continuous learning, professional development, and industry-leading expertise. Help shape the future of data governance, compliance, and risk management within the financial services industry. Benefits Comprehensive Benefits Coverage – 100% company-paid health, life, and disability insurance effective from Day 1 of employment. Retirement Savings Program – RRSP with the option of receiving a matching employer contribution. Virtual Health Care and Employee & Family Assistance Program available to employees and their dependents. Enhanced parental leave benefits from Day 1 of employment, plus a company-sponsored new parent gift. Wellness reimbursement and a dedicated Business Coach from Day 1 to support your career growth and development. Why This Role Is Open We are currently hiring for this role due to an existing or newly created vacancy within our organization. This position is open as part of our ongoing business needs, and we are actively reviewing applications to fill this role with a qualified candidate who can make an immediate impact. Inclusion at Capco We’re committed to making our recruitment process accessible and straightforward for everyone. If you need any adjustments at any stage, just let us know – we’ll be happy to help. We value each person’s unique perspective and contribution. At Capco, we believe that being yourself is your greatest strength. Our #BeYourselfAtWork culture encourages individuality and collaboration – a mindset that shapes how we work with clients and each other every day. Use of Artificial Intelligence in Talent Acquisition At Capco, we use artificial intelligence (AI) tools to support and enhance several parts of talent acquisition. This includes using AI-enabled features within LinkedIn to help source potential candidates, speeding up routine recruitment communications such as emails and creating compelling and brand-aligned job postings that accurately reflect role requirements, and AI-scheduling applications to improve the efficiency of interview coordination. AI is used as a support tool only. All hiring decisions are made by talent acquisition and hiring teams. Pay Transparency The salary range for this position is listed below. Additionally, this position may also be eligible to receive an annual discretionary/variable bonus payment. Capco is committed to providing fair and equitable compensation to our people. Our compensation policies and salary ranges are designed to allow our people to progress through the salary range as they demonstrate strong performance and develop in their role over time. The base pay offered to selected candidates will be within the salary range and the placement will vary based upon a variety of factors, including, but not limited to job-related knowledge, skills, experience and internal equity. Canada Pay Transparency $118,000—$152,000 CAD", "summaryDescription" : "Business Analyst, Data Masking and Compliance at Capco. Skills: Data masking, Compliance, Risk remediation, Data governance. Assess applications against data masking standards. Identify compliance gaps", "postedDate" : "2026-06-16T01:20:47.212", "createdAt" : "2026-06-16T01:20:47.212", "lastUpdated" : "2026-06-16T12:32:44.174", "ingestTimestamp" : "2026-06-16T01:20:47.212", "mongoId" : "6a3087a4f292fd229c08b1f8", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "100k-150k", "hasSalary" : false, "allSkills" : [ "Data masking standards", "Evidence collection", "Compliance reporting", "Governance metrics", "Data masking", "Compliance", "Risk remediation", "Data governance", "Stakeholder management", "Data analysis", "Process design", "Process engineering", "Operational improvement", "Audit remediation", "Banking", "Payments", "Enterprise technology", "Risk management", "Operational risk" ], "skillCount" : 19, "jobCategory" : "finance", "jobSubcategory" : "accounting", "seniorityLevel" : "Mid", "dataQualityScore" : 0.8888889, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Financial Services", "llmIndustryConfidence" : 0.95 }, { "id" : "6a305640f292fd229cf264ef", "title" : "Data Analyst - Quality & Fraud", "company" : "Delivery Hero", "industry" : "Internet", "salary" : { "min" : 55000.0, "max" : 75000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for a Senior Data Analyst in the E-commerce industry in Barcelona, Spain, adjusted for seniority and company size." }, "location" : "Barcelona, Spain", "locations" : [ "Barcelona", "Spain" ], "timestamp" : "2026-06-16T10:14:01.602", "fingerprint" : "4cc2b4f5bf6c76a9d8c6ba6e13ef71084189f9c32b380c84fc493a3563a873a9", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/DeliveryHero/744000132180279-data-analyst-quality-fraud-they-she-he-", "externalId" : "744000132180279", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Barcelona", "country" : "Spain", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "41.3825802,2.1770730" } ], "locationText" : "Barcelona, Spain", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "mid", "technicalSkills" : "SQL, Excel, Looker, Tableau, PowerBI", "professionalSkills" : [ "Analytical skills", "Coding skills", "Problem-solving skills", "Business mindset", "Strategic vision" ], "hardSkillsList" : [ "Data-driven insights", "Detection frameworks", "Monitoring tools", "Analytical models" ], "softSkillsList" : [ "Organized", "Obsessed with detail" ], "hardSkills" : [ { "name" : "Data-driven insights", "level" : "intermediate" }, { "name" : "Detection frameworks", "level" : "intermediate" }, { "name" : "Monitoring tools", "level" : "intermediate" }, { "name" : "Analytical models", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Organized" }, { "name" : "Obsessed with detail" } ], "majorSkills" : "Quality strategy, Fraud detection, Risk mitigation", "majorSkillsList" : [ "Quality strategy", "Fraud detection", "Risk mitigation" ], "coreResponsibilities" : "Own and define global courier fraud strategy, Ensure consistent implementation, Ensure continuous improvement, Proactively address key courier-related challenges, Develop scalable self-service dashboards, Develop monitoring tools, Empower local teams to act on insights, Perform deep-dive analyses, Identify drivers of quality gaps, Propose clear, actionable solutions, Provide regular updates to leadership, Report on courier quality performance, Highlight risks and opportunities, Develop analytical models, Develop frameworks to monitor fraud risks, Predict potential no-shows, Optimize fleet distribution, Collaborate cross-functionally with Operations, Collaborate with Fraud Prevention, Collaborate with Product, Collaborate with Data teams, Align strategies, Ensure impact, Understand courier pain points, Understand courier motivations, Design data-informed solutions, Drive courier satisfaction, Drive operational excellence", "teamCollaboration" : "Cross-functionally with Operations; Cross-functionally with Fraud Prevention; Cross-functionally with Product; Cross-functionally with Data teams", "domainKnowledge" : "Courier fraud; Risk mitigation; GPS spoofing; Account sharing; Payment abuse", "domainList" : [ "courier-fraud", "risk-mitigation", "gps-spoofing", "account-sharing", "payment-abuse" ], "domainSpecificKnowledge" : [ "Courier fraud", "Risk mitigation", "GPS spoofing", "Account sharing", "Payment abuse" ], "toolProficiency" : [ "BI platforms" ], "communicationSkills" : "Verbal communication; Written communication", "problemSolvingSkills" : "Problem-solving skills; Analytical skills", "outcomesObjectives" : "Reduce malicious activity; Guarantee Glovo's fleet remains fair; Guarantee Glovo's fleet remains secure", "qualificationsBasic" : "3+ years of work experience, SQL proficiency, Excel proficiency, BI platforms experience, English is a must", "qualificationsPreferred" : "Degree in Engineering, Degree in Business, Degree in Economics, Degree in Project Management, Degree in Business Analytics, Degree in data driven domain, PhD preferred, Specific ML framework experience, Cloud platform certs", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Glovo is part of the Delivery Hero Group, the world’s pioneering local delivery platform, our mission is to deliver an amazing experience—fast, easy, and to your door. We operate in around 70 countries worldwide. Headquartered in Berlin, Germany. Delivery Hero has been listed on the Frankfurt Stock Exchange since 2017 and is part of the MDAX stock market index. If you’re here, it’s because you’re looking for an exciting ride. A ride that will fuel up your ambitions to take on a new challenge and stretch yourself beyond your comfort zone. We’ll deliver a non-vanilla culture built on talent, where we work to amplify the impact on millions of people , paving the way forward together. Not your usual app. We are the fastest-growing multi-category app connecting millions of users with businesses, and couriers, offering on-demand services from more than 170,000 local restaurants, grocers and supermarkets, and high street retail stores. We operate in more than 1500 cities across 23 countries. Together we revolutionise the way people connect with their everyday needs, from delivering essentials to connecting our ecosystem of users through innovative solutions powered by technology. For us, every day is filled with purpose. What makes our ride unique? \uD83E\uDD1D Our culture and strong values. \uD83D\uDCAA Our career development philosophy. \uD83E\uDD1D Our commitment to being a force for good. We have a vision: Building the largest marketplace in your city, to give access to anything in minutes. And this is where your ride starts. YOUR MISSION Join Glovo's Global Operations team and become an integral part of our dynamic and challenging environment, offering numerous opportunities for growth and development. We are seeking a Senior Data Analyst to join the Courier Fraud team, driving the design, monitoring, and implementation of our global anti-fraud and risk mitigation strategy. In this role, you will be responsible for delivering data-driven insights, building detection frameworks and dashboards, and ensuring that our global integrity standards are consistently met and enforced. Your work will be central to reducing malicious activity (such as abuse of cancellations, account sharing, GPS spoofing, and payment abuse) and to guaranteeing that Glovo’s fleet remains fair and secure. THE JOURNEY * Own and define the global courier fraud strategy across all Glovo markets, ensuring consistent implementation and continuous improvement. * Proactively address key courier-related challenges at local, regional, and global levels. * Develop scalable self-service dashboards and monitoring tools that empower local teams to act on quality-related insights. * Perform deep-dive analyses to identify the drivers of quality gaps and propose clear, actionable solutions. * Provide regular updates and reports to leadership on courier quality performance, highlighting risks and opportunities. * Develop analytical models and frameworks to monitor fraud risks, predict potential no-shows, and optimize fleet distribution. * Collaborate cross-functionally with Operations, Fraud Prevention, Product, and Data teams to align strategies and ensure impact. * Step into the shoes of the couriers—understanding their pain points and motivations—to design data-informed solutions that drive both courier satisfaction and operational excellence. ## Qualifications WHAT YOU WILL BRING TO THE RIDE * Degree in Engineering, Business, Economics, Project Management, Business Analytics or any data driven domain. * +3 years of work experience providing internal teams with the necessary data to make the right decisions and proven experience on actionate those insights (this is a must). * Strong analytical and coding skills: Good inSQL and Excel proficiency(or extensive coding experience), and BI platforms experience (Looker, Tableau, PowerBI,…). * Strong strategic vision and business mindset. * Excellent problem-solving and analytical skills. Comfortable to break down complex problems into solutions. * Comfortable working in a high-growth and high-performance environment, dealing with ambiguity while maintaining a positive mindset. * Exceptional verbal and written communication skills (English is a must) * Proactive, organized, and obsessed with detail. Individuals representing diverse profiles, and abilities, encompassing various genders, ethnicities, and backgrounds, are less likely to apply for this role if they do not possess solid experience in 100% of these areas. Even if it seems you don't meet our musts don't let it stop you, we are all about finding the best talent out there! Skills can be learned, and embracing diversity is invaluable. We believe driven talent deserves: * \uD83C\uDF1F An enticing equity plan that lets you own a piece of the action. * \uD83D\uDCAA Top-notch private health insurance to keep you at your peak. * \uD83C\uDF54 Monthly Glovo credit to satisfy your cravings! * \uD83D\uDCB3 Discounts on transportation, food, and even kindergarten expenses. * \uD83C\uDFCA Discounted gym memberships to keep you energized. * \uD83C\uDFD6️ Extra time off, the freedom to work from home two days a week, and the opportunity to work from anywhere for up to three weeks a year! * \uD83D\uDC6A Enhanced parental leave, and office-based nursery. * \uD83E\uDDE0 Online therapy and wellbeing benefits to ensure your mental well-being. Here at Glovo, we thrive on diversity, we believe it enhances our teams, products, and culture. We know that the best ideas come from a mashup of brilliant diverse minds. This is why we are committed to providing equal opportunities to talent from all backgrounds - all genders, racial/diverse backgrounds, abilities, ages, sexual orientations and all other unique characteristics that make you YOU. We will encourage you to bring your authentic self to work, fostering an inclusive environment where everyone feels heard. Feel free to note your pronouns in your application (e.g., she/her/hers, he/him/his, they/them/theirs, etc). So, ready to take the wheel and make this the ride of your life? Delve into our culture by taking a peek at our [Instagram](https://www.instagram.com/lifeatglovo/) and check out our [Linkedin](https://www.linkedin.com/company/glovo-app/) and [website](https://about.glovoapp.com/)! ## Additional Information At Glovo, your success is defined by both results and behaviors. We hire for excellence in craft and for the Leadership Principles that shape how we think, decide, and collaborate. What you achieve matters and how you achieve it defines us. Together, they move the business forward and deliver great experiences. Learn more about our Leadership Principles[ here](https://careers.deliveryhero.com/leadership-principles). Here at Glovo, we thrive on diversity, we believe it enhances our teams, products, and culture. We know that the best ideas come from a mashup of brilliant diverse minds. This is why we are committed to providing equal opportunities to talent from all backgrounds – all genders, racial/diverse backgrounds, abilities, ages, sexual orientations and all other unique characteristics that make you YOU. We will encourage you to bring your authentic self to work, fostering an inclusive environment where everyone feels heard. Feel free to note your pronouns in your application (e.g., she/her/hers, he/him/his, they/them/theirs, etc). So, ready to take the wheel and make this the ride of your life? Delve into our culture by taking a peek at our [Instagram](https://www.instagram.com/lifeatglovo/) and check out our [LinkedIn](https://www.linkedin.com/company/glovo-app/) and [website](https://about.glovoapp.com/)!", "summaryDescription" : "Data Analyst - Quality & Fraud at Delivery Hero. Skills: Quality strategy, Fraud detection, Risk mitigation. Own and define global courier fraud strategy. Ensure consistent implementation", "postedDate" : "2026-06-15T11:42:30.000", "createdAt" : "2026-06-15T23:45:02.060", "lastUpdated" : "2026-06-16T10:14:01.602", "ingestTimestamp" : "2026-06-15T23:45:02.060", "mongoId" : "6a305640f292fd229cf264ef", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "50k-75k", "hasSalary" : false, "allSkills" : [ "Data-driven insights", "Detection frameworks", "Monitoring tools", "Analytical models", "Organized", "Obsessed with detail", "Quality strategy", "Fraud detection", "Risk mitigation", "Analytical skills", "Coding skills", "Problem-solving skills", "Business mindset", "Strategic vision", "Courier fraud", "GPS spoofing", "Account sharing", "Payment abuse", "BI platforms" ], "skillCount" : 19, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Senior", "dataQualityScore" : 1.0, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "E-Commerce", "llmIndustryConfidence" : 0.95 }, { "id" : "6a3059d3f292fd229cf4b2e9", "title" : "Program Manager, Foundations Data and Operations", "company" : "OpenAI", "industry" : "Research", "salary" : { "min" : 162000.0, "max" : 240000.0, "currency" : "USD", "frequency" : "Yearly" }, "location" : "San Francisco", "locations" : [ "San Francisco" ], "timestamp" : "2026-06-16T08:36:35.216", "fingerprint" : "b5c332c6dff17e08ec57719085edffc2e13874ec8bad2f42503c2cc63f81fd86", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/openai/73c24685-3508-489d-aa92-203761e79f19/application", "externalId" : "73c24685-3508-489d-aa92-203761e79f19", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Toronto", "state" : "Ontario", "country" : "Canada", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "43.6534817,-79.3839347" }, { "city" : "San Francisco", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "37.7879363,-122.4075201" } ], "locationText" : "Toronto, Ontario, Canada; San Francisco, California, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 8, "experienceLevel" : "Manager", "remoteFriendly" : true, "rawDescription" : "ABOUT THE TEAM The Foundations Data and Operations team is responsible for acquiring the data OpenAI needs to build frontier AI models. We run high-impact data acquisition programs, such as our web crawler and our data partnerships, and work closely with research to build the training datasets for our models. Our work advances the intelligence of our models and teaches them new skills that hundreds of millions of people benefit from every day. ABOUT THE ROLE We are hiring a Program Manager to join our team. In this role, you will lead programs to acquire training data to advance our research roadmap. You will work with researchers to define requirements, design and manage acquisition workflows, and establish processes to execute them at scale. This role requires a blend of strategic thinking and hands-on execution. The ideal candidate can navigate ambiguity, break down complex problems, manage cross-functional stakeholders, and drive alignment across technical and business teams. This role may require living close to some physical operations across the US and some hybrid travel to San Francisco. IN THIS ROLE, YOU WILL: - Work closely with research to understand data needs and define acquisition priorities and timeline that are aligned with our research roadmap. - Translate research objectives into clear technical requirements and operational plans, ensuring data workflows, timelines, and quality standards are executed to the highest quality standards. - Lead vendor and partner engagements for data sourcing – including evaluating suppliers, negotiating agreements, and managing delivery. - Establish and maintain metrics for data quality, throughput, efficiency, and overall program performance, ensuring visibility to leadership and cross-functional partners. - Identify gaps in our data ecosystem and proactively drive initiatives to strengthen our data acquisition and creation capabilities over time. YOU MIGHT THRIVE IN THIS ROLE IF YOU: - Have 8+ years of experience in operations, strategy, venture capital, private equity, or consulting, with at least 5 years operating within a company. We will also consider high-trajectory candidates with fewer years of experience but at top companies with a clear track record of excellence. - Have experience taking end-to-end ownership of large, ambiguous problems, and breaking them down into clear, actionable plans. - Have direct experience engaging with executives and senior leaders to influence and drive strategic decisions. - Excel under pressure, bringing a high motor and exceptional adaptability and flexibility in a fast-paced, dynamic environment. - Are highly analytical - sophisticated in your understanding and approach to analyses; ability to ask and answer the most important questions, and present results clearly to leaders to influence decision making. - Are comfortable operating at all altitudes – discussing strategy and vision with executives, and troubleshooting operations with individual contributors and external partners. - Have excellent communication and cross-functional collaboration skills. - Are passionate about technology and artificial intelligence, and interested in its impact on business and society. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement https://cdn.openai.com/policies/eeo-policy-statement.pdf. Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form https://form.asana.com/?d=57018692298241&k=5MqR40fZd7jlxVUh5J-UeA. No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link https://form.asana.com/?k=bQ7w9h3iexRlicUdWRiwvg&d=57018692298241. OpenAI Global Applicant Privacy Policy https://cdn.openai.com/policies/global-employee-and-contractor-privacy-policy.pdf At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.", "summaryDescription" : "Program Manager, Foundations Data and Operations at OpenAI", "createdAt" : "2026-06-16T00:28:18.616", "lastUpdated" : "2026-06-16T08:36:35.216", "ingestTimestamp" : "2026-06-16T00:28:18.616", "mongoId" : "6a3059d3f292fd229cf4b2e9", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 162000, "salaryAnnualMax" : 240000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Senior", "dataQualityScore" : 0.7777778, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a305f0bf292fd229cf77aa8", "title" : "Program Manager, Foundations Data and Operations", "company" : "OpenAI", "industry" : "Research", "salary" : { "min" : 162000.0, "max" : 240000.0, "currency" : "USD", "frequency" : "Yearly" }, "location" : "San Francisco", "locations" : [ "San Francisco" ], "timestamp" : "2026-06-16T10:03:10.589", "fingerprint" : "e8731ede0ca67f1d57b4836bee5734cd93890c04bfedb9ec44ddeed31dfc3765", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/OpenAI/73c24685-3508-489d-aa92-203761e79f19/application", "externalId" : "73c24685-3508-489d-aa92-203761e79f19", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Toronto", "state" : "Ontario", "country" : "Canada", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "43.6534817,-79.3839347" }, { "city" : "San Francisco", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "37.7879363,-122.4075201" } ], "locationText" : "Toronto, Ontario, Canada; San Francisco, California, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 8, "experienceLevel" : "Manager", "remoteFriendly" : true, "rawDescription" : "ABOUT THE TEAM The Foundations Data and Operations team is responsible for acquiring the data OpenAI needs to build frontier AI models. We run high-impact data acquisition programs, such as our web crawler and our data partnerships, and work closely with research to build the training datasets for our models. Our work advances the intelligence of our models and teaches them new skills that hundreds of millions of people benefit from every day. ABOUT THE ROLE We are hiring a Program Manager to join our team. In this role, you will lead programs to acquire training data to advance our research roadmap. You will work with researchers to define requirements, design and manage acquisition workflows, and establish processes to execute them at scale. This role requires a blend of strategic thinking and hands-on execution. The ideal candidate can navigate ambiguity, break down complex problems, manage cross-functional stakeholders, and drive alignment across technical and business teams. This role may require living close to some physical operations across the US and some hybrid travel to San Francisco. IN THIS ROLE, YOU WILL: - Work closely with research to understand data needs and define acquisition priorities and timeline that are aligned with our research roadmap. - Translate research objectives into clear technical requirements and operational plans, ensuring data workflows, timelines, and quality standards are executed to the highest quality standards. - Lead vendor and partner engagements for data sourcing – including evaluating suppliers, negotiating agreements, and managing delivery. - Establish and maintain metrics for data quality, throughput, efficiency, and overall program performance, ensuring visibility to leadership and cross-functional partners. - Identify gaps in our data ecosystem and proactively drive initiatives to strengthen our data acquisition and creation capabilities over time. YOU MIGHT THRIVE IN THIS ROLE IF YOU: - Have 8+ years of experience in operations, strategy, venture capital, private equity, or consulting, with at least 5 years operating within a company. We will also consider high-trajectory candidates with fewer years of experience but at top companies with a clear track record of excellence. - Have experience taking end-to-end ownership of large, ambiguous problems, and breaking them down into clear, actionable plans. - Have direct experience engaging with executives and senior leaders to influence and drive strategic decisions. - Excel under pressure, bringing a high motor and exceptional adaptability and flexibility in a fast-paced, dynamic environment. - Are highly analytical - sophisticated in your understanding and approach to analyses; ability to ask and answer the most important questions, and present results clearly to leaders to influence decision making. - Are comfortable operating at all altitudes – discussing strategy and vision with executives, and troubleshooting operations with individual contributors and external partners. - Have excellent communication and cross-functional collaboration skills. - Are passionate about technology and artificial intelligence, and interested in its impact on business and society. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement https://cdn.openai.com/policies/eeo-policy-statement.pdf. Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form https://form.asana.com/?d=57018692298241&k=5MqR40fZd7jlxVUh5J-UeA. No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link https://form.asana.com/?k=bQ7w9h3iexRlicUdWRiwvg&d=57018692298241. OpenAI Global Applicant Privacy Policy https://cdn.openai.com/policies/global-employee-and-contractor-privacy-policy.pdf At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.", "summaryDescription" : "Program Manager, Foundations Data and Operations at OpenAI", "createdAt" : "2026-06-16T00:27:48.493", "lastUpdated" : "2026-06-16T10:03:10.589", "ingestTimestamp" : "2026-06-16T00:27:48.493", "mongoId" : "6a305f0bf292fd229cf77aa8", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 162000, "salaryAnnualMax" : 240000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Senior", "dataQualityScore" : 0.7777778, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c957a74d8ee00a098d2de", "title" : "CRM and Data Manager", "company" : "DIM Brands International", "industry" : "Retail", "salary" : { "min" : 65000.0, "max" : 95000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Manager in Retail in Rueil-Malmaison, France, adjusted for seniority and company size." }, "location" : "DIM", "locations" : [ "DIM" ], "timestamp" : "2026-06-15T10:19:28.809", "fingerprint" : "f05a02a872fa9bbf998c777d4bd011e4d6e7f569d770000a0b2c45630039132c", "source" : "greenhouse", "language" : "fr", "applyUrl" : "https://job-boards.greenhouse.io/dim/jobs/8002978", "externalId" : "8002978", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Rueil-Malmaison", "country" : "France", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "48.8777800,2.1802832" } ], "locationText" : "Rueil-Malmaison, France", "employmentType" : "FULL_TIME", "experienceLevel" : "Manager", "technicalSkills" : "CRM, Data management, Customer Data Platform, IA", "professionalSkills" : [ "Customer engagement", "Customer retention", "Customer satisfaction", "Omnichannel approach", "Data analysis", "Reporting", "Process optimization" ], "hardSkillsList" : [ "Data quality monitoring", "Performance tracking", "KPI reporting", "Customer service management" ], "hardSkills" : [ { "name" : "Data quality monitoring", "level" : "intermediate" }, { "name" : "Performance tracking", "level" : "intermediate" }, { "name" : "KPI reporting", "level" : "intermediate" }, { "name" : "Customer service management", "level" : "intermediate" } ], "majorSkills" : "CRM, Data Management, Customer Experience, Team Leadership", "majorSkillsList" : [ "CRM", "Data Management", "Customer Experience", "Team Leadership" ], "coreResponsibilities" : "Pilot engagement plans, Pilot retention plans, Pilot satisfaction plans, Supervise campaign implementation, Supervise customer journeys, Supervise activation scenarios, Coordinate CRM program redesign, Coordinate CRM program optimization, Ensure targeting relevance, Ensure database exploitation, Monitor data quality, Identify data anomalies, Track performance, Update key dashboards, Report regularly to management, Share best practices, Share campaign results, Manage collaborators daily, Help collaborators upskill, Track collaborator planning, Resolve daily issues, Supervise European customer service, Optimize response processes, Ensure tool configuration", "teamCollaboration" : "IT teams; E-commerce teams; Retail teams; European countries", "domainKnowledge" : "Retail; E-commerce", "domainList" : [ "retail", "e-commerce" ], "domainSpecificKnowledge" : [ "Retail", "E-commerce" ], "toolProficiency" : [ "Klaviyo", "Gladly" ], "innovationCreativity" : "Propose new ideas; Propose new tools", "problemSolvingSkills" : "Identify anomalies; Resolve issues", "outcomesObjectives" : "Measure action impact", "qualificationsBasic" : "8 to 10 years experience, Management experience, Comfortable with numbers, Understand database functioning, Rigorous, Proficient in campaign management tools, Proficient in customer service tools, Fluent English", "qualificationsPreferred" : "Retail or e-commerce experience", "workSiteFlexibility" : "Flexible", "rawDescription" : "DIM Brands International (DBI) est un fabricant et distributeur éco-responsable de sous-vêtements des marques parmi les plus fortes au monde (DIM, Nur Die, Lovable, La Senza...) pour toute la famille. DIM est le leader du marché en France et la marque préférée des consommateurs français (Étude OpinionWay – 1059 répondants – février 2025), Nur Die est le leader du marché en Allemagne dans le segment des produits de consommation, Lovable est un solide second sur le marché italien de la lingerie et La Senza est une marque canadienne emblématique de sous-vêtements. Les produits DIM sont distribués en Omnicanalité (GMS, Ecommerce et Boutiques DIM). Fondée en 1960, DBI a une longue tradition d'innovation et d'excellence. En 2022, l'entreprise a retrouvé son indépendance et entend accélérer sa croissance en s'appuyant sur une stratégie claire basée sur quatre axes : le développement de ses marques phares, un solide programme d'innovations produits, une stratégie omnicanale forte et un programme d'excellence opérationnelle continue. \"Simplification and Scale\" est notre devise stratégique. Notre ambition est d'ouvrir un nouveau cycle de croissance rentable et de réaliser le plein potentiel mondial de la marque DIM. Le siège de DBI est situé à Rueil-Malmaison, près de Paris, avec des filiales dans toute l'Europe (DACH, Italie, Ibérie, Europe de l'Est, Canada) et des distributeurs au Moyen-Orient, en Asie et en Afrique. Son centre d'approvisionnement (fabrication et logistique) est basé à Autun, en Bourgogne, où plus de 5 milliards de collants ont été produits depuis la création de DIM ! De plus, nous sommes profondément engagés dans une stratégie dynamique ESG, structurée autour de 3 piliers : Planète, Produit, Personnes. Par exemple, la marque DIM est neutre en CO2 scope 1&2, grâce à un mix de réduction et de capture des émissions. Dans ce contexte, la direction e-commerce recrute un CRM and Data Manager en CDI. Contexte & Enjeux Sous la responsabilité de la Directrice E-commerce, vous pilotez les plans d'actions d’engagement, de fidélisation et de satisfaction client de nos différentes marques (Dim, Playtex, Abanderado, Lovable….). Le poste est basé en France (siège), d'où vous coordonnez le périmètre européen. À la tête d'une équipe de 2 personnes (un(e) Responsable CRM et un(e) Responsable Service Client), et en étroite collaboration avec les équipes IT, E-commerce et Retail, vous veillez à la cohérence de l'expérience client depuis le premier contact jusqu'au service après-vente. Manager de proximité, vous aimez le travail en équipe et apportez votre soutien opérationnel à vos collaborateurs en maîtrisant les outils du quotidien. Vos Missions Animation & Déploiement CRM / Fidélisation Superviser et accompagner la mise en œuvre opérationnelle des campagnes, des parcours clients (approche omnicanale) et des scénarios d'activation. Coordonner les projets de refonte ou d'optimisation des programmes CRM pour nos marques en Europe, en lien avec les équipes IT, E-commerce et Retail. Garantir la pertinence des ciblages et la bonne exploitation de la base de données clients (Customer Data Platform) en collaboration avec l'IT. Amélioration continue : Assurer une veille sur les bonnes pratiques du marché et proposer de nouvelles idées ou outils simples (nouveaux canaux, IA d'aide à la rédaction, etc.) pour moderniser nos pratiques. Faire évoluer le programme de fidélité de DIM France et optimiser les scénarios d’automation. Suivi des données & Reporting Suivi de la qualité de la donnée : vous comprenez les flux de données pour repérer les anomalies simples (problèmes d'import, écarts de chiffres, bugs outils) et faites le lien avec les équipes IT pour leur résolution. Suivre la performance : Suivre et mettre à jour les dashboards clés (KPIs d'engagement, conversion, rétention, NPS) pour mesurer l'impact des actions. Partage des résultats : Assurer un reporting régulier auprès de la direction et des pays pour partager les bonnes pratiques et les résultats des campagnes. Management, Support Outils & Service Client Manager et accompagner au quotidien vos 2 collaborateurs : vous les aidez à monter en compétences, suivez leur planning et débloquez avec eux les sujets du quotidien sur les outils (Klaviyo, Gladly, etc.). Superviser le Service Client européen (géré opérationnellement par votre collaborateur), en l'aidant à optimiser les process de réponse et à s'assurer du bon paramétrage de l'outil de ticketing. Profil recherché Expérience : 8 à 10 ans d'expérience en CRM, marketing relationnel ou expérience client, idéalement dans l'univers du retail ou du e-commerce. Management & Posture : Vous avez une première expérience de management et un tempérament de \"facilitateur\". Vous aimez être proche de votre équipe et l'aider concrètement sur le terrain. Sensibilité Tech & Data : Vous êtes à l'aise avec les chiffres et comprenez le fonctionnement d'une base de données. Vous êtes rigoureux(se) et savez repérer quand \"un chiffre ne colle pas\" dans un outil. Compétences outils : Vous avez une bonne maîtrise pratique des outils de gestion de campagne (idéalement Klaviyo) et de service client (Gladly ou équivalent). Qualités personnelles : Forte orientation client, rigueur, bon relationnel pour travailler avec des interlocuteurs variés (IT, Retail, pays). Langues : Anglais courant indispensable pour échanger avec nos interlocuteurs internes et prestataires. Le poste est basé à Rueil-Malmaison dans des locaux au bord de la Seine. Life @DIM : Les collaborateurs sont mis au cœur de la stratégie de l’entreprise, ce qui vous permet d'obtenir les avantages suivants : Évoluer au sein d’un environnement stimulant parmi une équipe jeune et dynamique, et relever de nouveaux défis chaque jour Profiter du restaurant d'entreprise Avoir accès aux ventes organisées par le CE et 30% de réduction sur les produits de nos boutiques et sites internet Avoir un accès à la Conciergerie (services proposés par des esthéticiennes, ostéopathes, cordonniers…) Coaching sportif", "summaryDescription" : "CRM and Data Manager at DIM Brands International. Skills: CRM, Data Management, Customer Experience, Team Leadership. Pilot engagement plans. Pilot retention plans", "postedDate" : "2026-06-14T09:40:26.019", "createdAt" : "2026-06-14T09:40:26.019", "lastUpdated" : "2026-06-15T10:19:28.809", "ingestTimestamp" : "2026-06-14T09:40:26.019", "mongoId" : "6a2c957a74d8ee00a098d2de", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "50k-75k", "hasSalary" : false, "allSkills" : [ "Data quality monitoring", "Performance tracking", "KPI reporting", "Customer service management", "CRM", "Data Management", "Customer Experience", "Team Leadership", "Customer engagement", "Customer retention", "Customer satisfaction", "Omnichannel approach", "Data analysis", "Reporting", "Process optimization", "Retail", "E-commerce", "Klaviyo", "Gladly" ], "skillCount" : 19, "jobCategory" : "marketing", "jobSubcategory" : "growth", "seniorityLevel" : "Manager", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Retail", "llmIndustryConfidence" : 0.95 }, { "id" : "6a3058bdf292fd229cf43fb0", "title" : "EHR and Billing Support Specialist", "company" : "Sourcefit", "industry" : "Healthcare", "salary" : { "min" : 600000.0, "max" : 900000.0, "currency" : "PHP", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level EHR and Billing Support Specialist in Quezon City, Philippines, adjusted for the healthcare industry." }, "location" : "Bridgetowne Quezon City, Philippines, PH", "locations" : [ "Bridgetowne Quezon City", "Philippines", "PH" ], "timestamp" : "2026-06-16T07:26:11.420", "fingerprint" : "e303d2761da72ab34d80b83cd91bece35748c2aa3f14f90a1c17c668af7fc24f", "source" : "breezyhr", "language" : "en", "applyUrl" : "https://sourcefit.breezy.hr/p/072ac1a28fec-ehr-and-billing-support-specialist", "externalId" : "072ac1a28fec", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Quezon City", "state" : "Metro Manila", "country" : "Philippines", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "14.6510546,121.0486254" } ], "locationText" : "Quezon City, Metro Manila, Philippines", "employmentType" : "FULL_TIME", "majorSkills" : "EHR, Billing support", "majorSkillsList" : [ "EHR", "Billing support" ], "coreResponsibilities" : "Provide EHR support, Provide billing support, Troubleshoot EHR issues, Troubleshoot billing issues, Assist users with EHR, Assist users with billing", "domainKnowledge" : "EHR systems; Medical billing", "domainList" : [ "ehr-systems", "medical-billing" ], "domainSpecificKnowledge" : [ "EHR systems", "Medical billing" ], "problemSolvingSkills" : "Troubleshooting", "qualificationsBasic" : "EHR experience, Billing support experience", "remoteFriendly" : true, "workSiteFlexibility" : "Onsite", "summaryDescription" : "EHR and Billing Support Specialist at Sourcefit. Skills: EHR, Billing support. Provide EHR support. Provide billing support", "createdAt" : "2026-06-15T22:11:34.728", "lastUpdated" : "2026-06-16T07:26:11.420", "ingestTimestamp" : "2026-06-15T22:11:34.728", "mongoId" : "6a3058bdf292fd229cf43fb0", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "EHR", "Billing support", "EHR systems", "Medical billing" ], "skillCount" : 4, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Mid", "dataQualityScore" : 0.6666667, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.9 }, { "id" : "6a3056b8f292fd229cf2d873", "title" : "Lead Healthcare Data Analyst (Pre-sale)", "company" : "HealthVerity", "industry" : "Healthcare", "salary" : { "min" : 155000.0, "max" : 210000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline data for a Lead Healthcare Data Analyst in Philadelphia, adjusted for seniority, industry, and company size." }, "location" : "Philadelphia, Pennsylvania, United States", "locations" : [ "Philadelphia", "Pennsylvania", "United States" ], "certifications" : [ "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified" ], "timestamp" : "2026-06-16T08:47:36.789", "fingerprint" : "46c90579b0936d531e5d3d25c2bb39f0ae7c77efc6da9a557ba7cc69e5354ac2", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://healthverity.com/careers/jobs/?gh_jid=5262041008", "externalId" : "5262041008", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Philadelphia", "state" : "Pennsylvania", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "39.9527237,-75.1635262" } ], "locationText" : "Philadelphia, Pennsylvania, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 8, "experienceMaxYears" : 15, "experienceLevel" : "Lead", "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" : [ "Data engineering", "Machine learning", "Business intelligence", "Analytics engineering", "Quantitative analysis" ], "hardSkillsList" : [ "Statistical methods", "ML frameworks", "BI platforms", "Cloud data stacks", "Modelling skills" ], "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" } ], "majorSkills" : "Data science, Data engineering, Machine learning, Business intelligence", "majorSkillsList" : [ "Data science", "Data engineering", "Machine learning", "Business intelligence" ], "coreResponsibilities" : "Develop and implement data pipelines, Build and maintain data models, Design and execute analytical experiments, Create and deploy machine learning models, Develop dashboards and reports, Collaborate with stakeholders to understand data needs, Ensure data quality and integrity, Stay current with industry trends and technologies", "teamCollaboration" : "Cross-functional teams; Product teams; Engineering teams; Business stakeholders", "domainKnowledge" : "Healthcare data", "domainList" : [ "healthcare-data" ], "domainSpecificKnowledge" : [ "Healthcare data" ], "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" ], "problemSolvingSkills" : "Analytical skills", "qualificationsBasic" : "5+ years of experience, SQL proficiency, Bachelor's degree in Statistics, Computer Science, Mathematics, or related field", "qualificationsPreferred" : "PhD preferred, Experience with specific ML frameworks, Cloud platform certifications", "remoteFriendly" : false, "rawDescription" : "How you will help As a Lead Healthcare Data Analyst, Real World Data Solutions (RWDS), you will apply your healthcare data analytics expertise to support pre-sales solutioning, helping clients and internal teams assess data feasibility, shape analytic approaches, and identify the right data assets to support prospective licensing opportunities. You will conduct discovery and translate clients' research and business questions into actionable analyses by leveraging the largest healthcare data ecosystem in the US. You will apply an analytical lens to define populations of interest, apply appropriate inclusion and exclusion criteria, evaluate longitudinal patient journeys, and validate outputs with a critical eye. In collaboration with colleagues, you will identify patients and educate clients on the data suppliers in the HealthVerity Marketplace (HVM) that capture the necessary data elements to conduct RWD-based studies and produce regulatory-grade real world evidence (RWE). What you will do Efficiently query multiple data types (medical and pharmacy claims, EMR, lab, chargemaster) using SQL to identify populations of interest in HVM data, apply appropriate inclusion and exclusion criteria, and assess outputs using univariate analysis, distributions, trends, and data investigations. Empower clients to generate RWE utilizing best-in-class observational research by conducting pre-sale feasibility analyses of varying breadth and depth. Own cross-functional alignment between Sales and Data Delivery teams, establishing operational best practices and ensuring seamless, on-time, and accurate delivery of data. Develop and communicate technical, clinical, operational, and business specifications to internal and external teams, translating analytical concepts for non-technical stakeholders. Lead the development and maintenance of internal documentation, analytics automation, AI enablement, and other process improvement initiatives to support internal team efficiency, effectiveness, and growth. Showcase HealthVerity’s strategic value through independent thought leadership and reinforce our standing in the RWE space. Leverage AI in innovative ways to enhance workflows and improve internal efficiency. How success will be defined Creatively and strategically position HealthVerity to win by building trust and credibility as a subject matter expert (SME) in healthcare data, RWD feasibility, and client-facing analytics Take end-to-end ownership of pre-sale data solutioning and drive to completion Dedicate 5-10% of working hours to team and individual improvement Ensure high-quality and accurate presales feasibilities and data requirements for delivery by validating outputs, identifying risks, and applying a critical eye to analytical assumptions Required skills and experience Graduate degree in Epidemiology, Biostatistics, Clinical Informatics, or related quantitative field At least 4 years experience in a consultative, client-facing role At least 6 years experience using SQL, programming against large relational databases leveraging interoperably-linked, patient-level data at scale Healthcare data expert across various data types (e. g. open/closed claims, inpatient/ambulatory EMR, commercial labs, social determinants, etc.) and codified healthcare data standards (e. g. ICD, CPT, HCPCS, NDC, CVX, LOINC, NUCC, NPPES, etc.), with an understanding of why data standards matter in regulatory contexts Experience evaluating fit-for-purpose data and implementing research protocols, including defining populations of interest, applying inclusion and exclusion criteria, and validating analytical outputs Experienced applying RWD to specific healthcare and life sciences-related research questions and use cases, such as RWE/epidemiology, HEOR, R 6 weeks for non-childbearing parents. Comprehensive and individualized onboarding: mentorship program, departmental talks, and a library of resources are available beginning day 1 for each new team member to minimize the stress of starting a new job Professional development: biweekly 1:1s, hands-on leadership that is goal-and growth-oriented for each team member, and an annual budget to support professional development pursuits We believe incorporating different ideas, perspectives and backgrounds make us stronger and encourages an environment where ageism, racism, sexism, ableism, homophobia, transphobia or any other form of discrimination are not tolerated. All qualified job applicants will be given consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or on the basis of disability. At HealthVerity, we’re working towards an innovative and connected future for healthcare data and believe the future is better together. We can only do that if everyone has a seat at the table. If you require a reasonable accommodation in completing this application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process, please direct your inquiries to careers@healthverity.com Remote opportunities are not available in all areas and require team members to work from a fixed location due to tax and labor law implications - specific questions about remote positions can be discussed during the interview process with your recruiter.", "summaryDescription" : "Lead Healthcare Data Analyst (Pre-sale) at HealthVerity. Skills: Data science, Data engineering, Machine learning, Business intelligence. Develop and implement data pipelines. Build and maintain data models", "postedDate" : "2026-06-15T23:19:44.143", "createdAt" : "2026-06-15T23:19:44.143", "lastUpdated" : "2026-06-16T08:47:36.789", "ingestTimestamp" : "2026-06-15T23:19:44.143", "mongoId" : "6a3056b8f292fd229cf2d873", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 155000, "salaryAnnualMax" : 210000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Statistical methods", "ML frameworks", "BI platforms", "Cloud data stacks", "Modelling skills", "Data science", "Data engineering", "Machine learning", "Business intelligence", "Analytics engineering", "Quantitative analysis", "Healthcare data", "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified", "Tableau", "Power BI", "Looker", "Metabase", "Superset", "Qlik", "MicroStrategy", "AWS S3", "AWS Glue", "AWS SageMaker", "AWS Athena", "GCP Vertex AI", "Azure Synapse", "Azure ML Studio" ], "skillCount" : 30, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Lead", "dataQualityScore" : 1.0, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2a660b74d8ee00a062bb72", "title" : "Data Science Manager, Customer Experience and Business Trends", "company" : "Amazon.com Services LLC", "industry" : "Data Science, Science, cx and business trends", "salary" : { "min" : 100000.0, "max" : 236900.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Seattle, Washington, USA", "locations" : [ "Seattle, Washington, USA" ], "timestamp" : "2026-06-15T07:51:52.310", "fingerprint" : "7f9ec02b0ecc36c03b559a161c9e1c52363748aa0789cf8b1b23fd8926128bf1", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10442449/apply", "externalId" : "3b5585c9-cb65-422a-ad0e-6fff1ea4f2a8", "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", "experienceMinYears" : 5, "experienceLevel" : "Manager", "technicalSkills" : "Python, R, Machine Learning, NLP, Regression, Classification, Clustering, Anomaly Detection", "professionalSkills" : [ "Analytics products", "Business trends", "Benchmarking economics", "Quantitative analysis", "Data products" ], "hardSkillsList" : [ "Statistical models", "Automated analytical systems", "Trend detection", "Data science", "Data engineering", "ML/AI", "Business intelligence", "Analytics engineering", "Quantitative analysis" ], "softSkillsList" : [ "Leadership", "Mentoring" ], "hardSkills" : [ { "name" : "Statistical models", "level" : "intermediate" }, { "name" : "Automated analytical systems", "level" : "intermediate" }, { "name" : "Trend detection", "level" : "intermediate" }, { "name" : "Data science", "level" : "intermediate" }, { "name" : "Data engineering", "level" : "intermediate" }, { "name" : "ML/AI", "level" : "intermediate" }, { "name" : "Business intelligence", "level" : "intermediate" }, { "name" : "Analytics engineering", "level" : "intermediate" }, { "name" : "Quantitative analysis", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Mentoring" } ], "majorSkills" : "Data Science, Machine Learning, Analytics, Leadership", "majorSkillsList" : [ "Data Science", "Machine Learning", "Analytics", "Leadership" ], "coreResponsibilities" : "Build metrics and trend-detection product, Design and operationalize framework, Surface emerging business trends, Partner with stakeholders, Drive product adoption, Align products with business use cases, Translate ambiguous problems, Scope analytics solutions, Drive adoption for insights, Manage, mentor, and grow team, Hire, develop, and retain team, Set clear expectations, Give actionable feedback, Create stretch opportunities, Build bench strength, Lead transformation to GenAI, Shape technical strategy, Evolve analytics toward GenAI, Accelerate insight generation, Improve self-serve access, Free capacity for scientific investment", "teamCollaboration" : "Cross-org stakeholders; Internal customers; Partner teams; Centralized science teams", "projectManagementSkills" : [ "Roadmap" ], "domainKnowledge" : "Customer experience; Business trends; Benchmarking economics; GenAI-native operating model", "domainList" : [ "customer-experience", "business-trends", "benchmarking-economics", "genai-native-operating-model" ], "domainSpecificKnowledge" : [ "Customer experience", "Business trends", "Benchmarking economics", "GenAI-native operating model" ], "communicationSkills" : "Brief senior leaders", "problemSolvingSkills" : "Data-driven decisions", "outcomesObjectives" : "Deliver insights for decisions; Translate insights into decisions; Measurable business impact", "qualificationsBasic" : "5+ years quantitative solutions, 2+ years management experience, 5+ years statistical models, Knowledge of Python or R, Master's degree", "qualificationsPreferred" : "Machine Learning experience, Fairness in ML/AI experience", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Amazon's Customer Experience and Business Trends (CXBT) is seeking a Data Science Manager to lead a team of scientists and engineers within Benchmarking Economics Analytics and Measurement (BEAM). BEAM is a central analytics and science function that drives Amazon's quantification of CX improvement opportunities through comparative benchmarks, partnering with stakeholders across CXBT, business domain teams, Finance, SCOT, and other centralized science teams. This is a hands-on leadership role for a manager who can set technical direction, build durable data products, and grow people. You will own the strategy and roadmap for a portfolio of analytics products, working backward from leadership and stakeholder needs to deliver insights that inform decisions at the speed of business. Key job responsibilities - Build a holistic metrics and trend-detection product. Lead the team to design and operationalize an always-on framework of indicators that surfaces emerging business trends reliably enough to brief senior leaders. - Partner with cross-org stakeholders to drive product adoption and impact. Work directly with internal customers and partner teams to ensure our products are tightly aligned with business use cases, translate ambiguous problems into well-scoped analytics solutions, and drive adoption so that insights translate into decisions and measurable business impact. - Manage, mentor, and grow the team. Hire, develop, and retain a high-performing team of scientists and engineers. Set clear expectations, give actionable feedback, create stretch opportunities, and build the bench strength needed to scale the team's scope over time. - Lead the transformation from traditional analytics to a GenAI-native operating model. Shape and execute the team's technical strategy to evolve from manual, study-based analytics toward GenAI-enabled products and workflows — accelerating insight generation, improving self-serve access for stakeholders, and freeing capacity for deeper scientific investment. Basic Qualifications: - 5+ years of building quantitative solutions as a scientist or science manager experience - 2+ years of scientists or machine learning engineers management experience - 5+ years of applying statistical models for large-scale application and building automated analytical systems experience - Knowledge of Python or R or other scripting language - Master's degree Preferred Qualifications: - Experience in a least one area of Machine Learning (NLP, Regression, Classification, Clustering, or Anomaly Detection) - Experience with fairness in machine learning and artificial intelligence to detect and remove bias in ML/AI systems 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, WA, Seattle - 175,100.00 - 236,900.00 USD annually", "summaryDescription" : "Data Science Manager, Customer Experience and Business Trends at Amazon.com Services LLC. Skills: Data Science, Machine Learning, Analytics, Leadership. Build metrics and trend-detection product. Design and operationalize framework", "postedDate" : "2026-06-13T13:22:02.787", "createdAt" : "2026-06-13T13:22:02.787", "lastUpdated" : "2026-06-15T07:51:52.310", "ingestTimestamp" : "2026-06-13T13:22:02.787", "mongoId" : "6a2a660b74d8ee00a062bb72", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.jobs/jobs/10442449/apply", "salaryAnnualMin" : 100000, "salaryAnnualMax" : 236900, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Statistical models", "Automated analytical systems", "Trend detection", "Data science", "Data engineering", "ML/AI", "Business intelligence", "Analytics engineering", "Quantitative analysis", "Leadership", "Mentoring", "Data Science", "Machine Learning", "Analytics", "Analytics products", "Business trends", "Benchmarking economics", "Data products", "Roadmap", "Customer experience", "GenAI-native operating model" ], "skillCount" : 21, "jobCategory" : "data", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "69dde3e52beec4dd3d9a03fa", "title" : "Data Analysis and Quality Assurance Director", "company" : "Texas Workforce Commission", "industry" : "Government", "salary" : { "min" : 155000.0, "max" : 220000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Director of Data Analysis and Quality Assurance in Austin, Texas, adjusted for government industry and seniority." }, "location" : "826770", "locations" : [ "826770", "
Austin:1117 Trinity St (320TX-4002)
1117 Trinity St
Austin, 78701-1919

" ], "timestamp" : "2026-06-15T08:50:23.902", "fingerprint" : "59540f617c815fc9a9369d5c690638b92eadeb9abb68f7061cbad208bee2e008", "source" : "taleo", "language" : "en", "applyUrl" : "https://aa270.taleo.net/careersection/ex/jobdetail.ftl?job=34107", "externalId" : "34107", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Austin", "state" : "Texas", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "30.2711286,-97.7436995" } ], "locationText" : "Austin, Texas, United States", "employmentType" : "FULL_TIME", "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, GCP, Azure", "professionalSkills" : [ "Strategic planning", "Policy development", "Data analysis", "Reporting", "Quality assurance", "Process improvement", "Forecasting", "Modeling" ], "hardSkillsList" : [ "Data reporting", "Data analysis", "Statistical methods", "ML frameworks", "BI platforms", "Cloud data stacks", "Modelling skills", "Regression", "Classification", "Clustering", "Time-series analysis", "A/B testing", "Causal inference" ], "hardSkills" : [ { "name" : "Data reporting", "level" : "intermediate" }, { "name" : "Data analysis", "level" : "intermediate" }, { "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 analysis, Quality assurance, Data engineering, Machine learning", "majorSkillsList" : [ "Data analysis", "Quality assurance", "Data engineering", "Machine learning" ], "coreResponsibilities" : "Direct data reporting and analysis activities, Develop techniques for analyzing and reporting data, Remain compliant with state and federal rules, Develop and establish goals and objectives, Provide direction, guidance, and assistance in developing reports, Provide direction, guidance, and assistance in collecting data, Review and approve reports, Review and approve data collection, Review and approve analysis, Ensure accuracy of reports, Ensure quality reports are distributed, Review guidelines, procedures, rules, Monitor compliance related to contract and procurement databases, Make recommendations to improve data collection, Make recommendations to improve data analysis, Plan, develop, and approve schedules, Plan, develop, and approve priorities, Plan, develop, and approve standards, Review results of special investigations, Review results of internal audits, Review results of research studies, Review results of forecasts, Review results of modeling exercises, Provide direction and guidance, Perform advanced managerial work, Provide direction and guidance in strategic operations, Provide direction and guidance in planning, Establish goals and objectives, Respond to audit requests, Develop guidelines, procedures, policies, rules, and regulations, Develop schedules, priorities, and standards, Coordinate data collection, Coordinate reporting, Coordinate quality, Evaluate data collection, Evaluate reporting, Evaluate quality, Develop data reports, Develop policies and procedures for producing quality reports, Develop policies and procedures for maintaining data integrity, Plan work of others, Assign work of others, Supervise work of others", "teamCollaboration" : "Cross-functional teams; Internal audits; External audits", "projectManagementSkills" : [ "Strategic planning", "Policy development", "Roadmap planning" ], "domainKnowledge" : "Procurement; Contract management; State data reporting; Federal regulations", "domainList" : [ "procurement", "contract-management", "state-data-reporting", "federal-regulations" ], "domainSpecificKnowledge" : [ "Procurement", "Contract management", "State data reporting", "Federal regulations" ], "toolProficiency" : [ "Dbt Cloud" ], "communicationSkills" : "Executive presentations; Technical documentation; Client meetings", "documentationSkills" : "Technical writing; API documentation; Architecture diagrams", "continuousLearning" : "Training and development opportunities", "innovationCreativity" : "Innovative ideas; Streamline processes", "problemSolvingSkills" : "Problem solver; Root cause analysis; Data-driven decision making", "specialRequirements" : "Texas resident required, Relocate to Texas required", "outcomesObjectives" : "Ensure departmental processes are impartial; Ensure departmental processes are transparent; Ensure departmental processes are professional; Acquisitions of program services for the State", "qualificationsBasic" : "Five years of experience in oversight and direction of an agency or in strategic planning and policy development and implementation, Two years of experience in administrative management or supervisory capacity, Two years of experience in data collection and analysis, One year experience in management and direction of staff relevant to data collection and analysis, Experience with state data reporting and analysis", "qualificationsPreferred" : "PhD preferred, Specific ML framework experience, Cloud platform certs", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Data Analysis and Quality Assurance (DAQA) Director Who We Are: Texas Workforce Commission connects people with careers across the state. We are based in Austin on the east side of the Texas State Capitol, in the Business Operations Division located at 1117 Trinity Street in Austin. We're a Family Friendly Certified Workplace with great work-life balance, competitive salaries, extensive opportunities for training and development, and fantastic benefits. TWC is not considering applications from individuals who require sponsorship for an employment visa, including those with H1B visas or those currently on student or postgraduate visas. You must be a Texas resident to work for the Texas Workforce Commission or willing to relocate to Texas. Who You Are: A self-starting, motivated, collaborative problem solver who understands the value of data analysis in measurement of procurement and contract related activities for the Procurement and Contract Services Department. You should share our department’s mission to provide excellent customer service and ensure that departmental processes are impartial, transparent, and professional. You should be innovative and open to new ideas to streamline existing processes. We strive to ensure that acquisitions of program services are conducted with the best outcome for the State in mind. What you Will Do: The Data Analysis and Quality Assurance (DAQA) Director: -Directs data reporting and analysis activities. -Develops and implements techniques for analyzing and reporting data in meaningful ways and remains compliant with state and federal rules and regulations. -Develops and establishes goals and objectives consistent with the agency policy and procedure. -Provides direction, guidance, and assistance in developing reports and collecting data related to contracts and procurement. -Reviews and approves reports, data collection and analysis, and ensures accuracy and that quality reports are distributed. -Reviews guidelines, procedures, rules, and regulations; and monitors compliance related to contract and procurement databases. -Makes recommendations to improve data collection and analysis. -Plans, develops, and approves schedules, priorities, and standards for achieving goals. -Reviews results of special investigations, internal audits, research studies, forecasts, and modeling exercises to provide direction and guidance. -Performs advanced (senior-level) managerial work providing direction and guidance in strategic operations and planning. Works under minimal supervision, with extensive latitude for the use of initiative and independent judgment. You Will be Trusted To: -Establish goals and objectives. -Respond to audit requests from internal and external entities. -Develop guidelines, procedures, policies, rules, and regulations. -Develop schedules, priorities, and standards for achieving established goals. -Coordinate and evaluate data collection, reporting, and quality. -Develop and evaluate data reports and policies and procedures for producing quality reports and maintaining data integrity. -Plan, assign, and supervise the work of others. -Work under limited supervision, with considerable latitude for the use of initiative and independent judgment. -Performs other duties as assigned. You Qualify With: -Five years of full-time experience in the oversight and direction of an agency program; or in strategic planning and policy development and implementation, two years of which must have been in an administrative management or supervisory capacity. -Relevant academic credits may be applied toward experience qualifications for this position. You Are a Great Fit With: -A minimum of two years’ experience in data collection and analysis. -One year experience in the management and direction of staff relevant to data collection and analysis. -Experience with state data reporting and analysis. You Gain: -A Family Friendly Certified Workplace. -Competitive starting salary: $9,166.67 to $9,583.34/month, depending on experience -Defined Retirement Benefit Plan -Optional 401(k) and 457 accounts -Medical Insurance -Paid time off, including time for vacation, sick and family care leave -Additional benefits for active employees can be found at https://www.ers.texas.gov/Active-Employees/Health-Benefits. VETERANS: Use your military skills to qualify for this position or other jobs! Go to www.texasskillstowork.com to translate your military work experience and training courses into civilian job terms, qualifications, and skill sets. Also, you can compare this position to military occupations (MOS) at the Texas State Auditor's Office by pasting this link into your browser: https://hr.sao.texas.gov/Compensation/MilitaryCrosswalk/MOSC_ProgramManagement.pdf HOW TO APPLY: To be considered, please complete a State of Texas Application for Employment and apply online at www.workintexas.com or on Taleo ( Job Search ). TWC is not considering applications from individuals who require sponsorship for an employment visa, including those with H1B visas or those currently on student or postgraduate visas In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification document form upon hire. A position utilizing this classification will be designated as security sensitive according to the Texas Labor Code, Section 301.042. United States-Texas-Austin", "summaryDescription" : "Data Analysis and Quality Assurance Director at Texas Workforce Commission. Skills: Data analysis, Quality assurance, Data engineering, Machine learning. Direct data reporting and analysis activities. 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Stakeholders", "domainKnowledge" : "Healthcare data", "domainList" : [ "healthcare-data" ], "domainSpecificKnowledge" : [ "Healthcare data" ], "toolProficiency" : [ "SQL", "Python", "R", "Spark", "Snowflake", "BigQuery", "Redshift", "Databricks", "Dbt", "Fivetran", "Airflow", "AWS", "GCP", "Azure", "SageMaker", "Vertex AI", "Synapse", "ML Studio", "Scikit-learn", "TensorFlow", "PyTorch", "XGBoost", "LightGBM", "Hugging Face", "MLflow", "Tableau", "Power BI", "Looker" ], "continuousLearning" : "Stay current with industry trends", "problemSolvingSkills" : "Quantitative analysis", "qualificationsBasic" : "5+ years of experience, Bachelor's degree, SQL proficiency, Experience with Python", "qualificationsPreferred" : "Master's degree or PhD, Experience with cloud platforms, Experience with ML frameworks, Experience with BI tools, Experience with data warehousing", "rawDescription" : "How you will help As a Lead Analyst, Real World Data (RWD) Insights you will serve as a strategic partner to clients and internal teams, leveraging deep expertise in healthcare data analytics to drive complex, high-impact real-world data (RWD) solutions. You will work at the intersection of healthcare data and client partnership, translating complex RWD into clear, actionable insights for life sciences and technology companies. Success in this role requires deep subject matter expertise in real world data, exceptional communication skills, and a genuine interest in building trusted client relationships. In this role, you will serve as the client’s dedicated subject matter expert for RWD, acting as the primary point of contact for data inquiries, training, issue resolution, and ongoing analytical guidance. Additionally, you will mentor and collaborate with colleagues to enhance analytical methodologies, optimize data strategies, and contribute to the continued evolution of industry-leading RWD insights. What you will do Serve as the primary point of contact for one or more of HealthVerity clients, providing expert post-sale support across their RWD use cases. Build deep, trusted relationships with stakeholders across data, analytics, and research functions Respond to client data questions with accuracy and clarity, triaging issues and driving them to resolution Proactively communicate insights, updates, and best practices to help clients maximize value from HealthVerity data assets Translate complex needs and methodologies into clear, actionable guidance for clients’ cross-functional stakeholders Lead client trainings, standardize analytic guidance, and document use case support in the post-sale phase Proactively anticipate the client’s evolving data needs by monitoring their pipeline, research activity, and emerging use cases and routing expansion signals to Sales Develop and maintain training materials, documentation, and reference guides tailored to the client’s specific use cases Efficiently query multiple data types (medical and pharmacy claims, EMR, lab, chargemaster) with proficiency in SQL or Python to identify cohorts and support client inquiries Work cross-functionally with sales and data delivery teams to drive operational processes and support best practices to deliver data licensing projects on time and with accuracy Mentor junior team members, focusing on improvement initiatives, collaboration and innovation How success will be defined Creatively and strategically positions HealthVerity to win against the competition by building trust and credibility as a subject matter expert (SME) Client questions and data investigations are addressed accurately, efficiently, and with clear communication Client teams are trained and empowered to effectively use HealthVerity data products Data insights, emerging use cases, and client needs are surfaced ahead of explicit requests, demonstrating deep familiarity with the client's pipeline Stakeholders consistently view the analyst as a trusted partner and subject matter expert, evidenced by unprompted outreach, inclusion in early-stage research discussions, and positive client feedback Takes end-to-end ownership of data solutioning projects and drives them to completion Dedicates 5-10% of working hours to team and individual improvement Required skills and experience Graduate degree in Epidemiology, Biostatistics, Clinical Informatics, or related field At least 4 years of direct client-facing experience in a healthcare analytics, life sciences, technology, or biotechnology context, with demonstrated ability to manage and grow client relationships Healthcare data expert across various data types (e. g. open/closed claims, inpatient/ambulatory EMR, commercial labs, social determinants, etc.) and codified healthcare data standards (e. g. ICD, CPT, HCPCS, CVX, LOINC, NUCC, NPPES, etc.) Proficient in SQL or Python, programming against large relational databases leveraging interoperably-linked, patient-level data at scale Experience evaluating fit-for-purpose data and implementing research protocols Strong presentation and communication skills, with the ability to translate complex data concepts for technical and non-technical audiences alike Experience applying RWD to specific healthcare and life sciences-related research questions and use cases, such as RWE/epidemiology, HEOR, R able to manage multiple concurrent workstreams with strong attention to detail Desired skills and experience Exposure to a wide range of healthcare industry business segments (pharma, technology, government, consulting, healthcare payer/provider) Experience working directly with pharmaceutical, biotech, or technology companies in a post-sale capacity Experience planning and executing training and development programs against a long-term roadmap, preferably within the scope of a large enterprise life sciences contract Skilled at educating, presenting, and demonstrating analytical concepts to internal and external audiences Strong communicator (both verbally and in writing) with the ability to translate client needs into actionable data insights Experience owning and managing projects with the ability to identify and mitigate risk to intended outcomes Team player who takes initiative and works collaboratively with colleagues across all levels of the organization Committed to personal and professional continuous development Thrives in a rapidly-changing, fast paced environment Ability to travel occasionally to HealthVerity HQ (Philadelphia, PA) Base salary for the role is commensurate with experience and can range between $150,000 - 190,000 + annual bonus opportunity. Hiring Locations Our main office is located in Center City, Philadelphia, where we operate on a hybrid model with in-office work required three days a week for local employees. We believe collaboration is most effective when teams come together, which is why we prioritize hiring in the Philadelphia area. For certain roles, we also hire from hub locations—regions where we have an established presence with multiple team members working remotely. While these employees primarily work from home, we bring them together in person at least once a year for team-building, collaboration, and strategic planning. Due to tax and labor regulations, we can only hire from specific states. Remote work is supported in the following key hub locations and approved states: Hub Locations: Philadelphia, Pennsylvania Boston, Massachusetts New York City, New York Baltimore, Maryland Washington, D. C. Charlotte, North Carolina Raleigh-Durham, North Carolina Atlanta, Georgia Chicago, Illinois Approved States for Remote Work: CT, DE, FL, GA, IL, IN, MA, MD, MI, NC, NJ, NY, OH, PA, TN, and VA. About HealthVerity HealthVerity is the leader in privacy-protected real-world data exchange, transforming how healthcare and life sciences organizations connect and analyze disparate patient data. By enabling access to the industry’s largest RWD ecosystem, HealthVerity supports critical applications in clinical development, commercial strategy, regulatory decision-making, and public health. To learn more about HealthVerity, visit healthverity.com. Why you'll love working here We are making a difference – Our technology is at the forefront of some of the biggest healthcare challenges in the world. We are one team – Our people define our culture and always will. We take time out to celebrate each other, and acknowledge the value that each of us adds towards our greater mission. Come share all you have to offer. We are learners – Every team member is continually learning, no matter if we've been in a role for one year or much longer. We are committed to learning and implementing what is best for our clients, partners, and each other. Benefits 6 weeks for non-childbearing parents. Comprehensive and individualized onboarding: mentorship program, departmental talks, and a library of resources are available beginning day 1 for each new team member to minimize the stress of starting a new job Professional development: biweekly 1:1s, hands-on leadership that is goal-and growth-oriented for each team member, and an annual budget to support professional development pursuits We believe incorporating different ideas, perspectives and backgrounds make us stronger and encourages an environment where ageism, racism, sexism, ableism, homophobia, transphobia or any other form of discrimination are not tolerated. All qualified job applicants will be given consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or on the basis of disability. At HealthVerity, we’re working towards an innovative and connected future for healthcare data and believe the future is better together. We can only do that if everyone has a seat at the table. If you require a reasonable accommodation in completing this application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process, please direct your inquiries to careers@healthverity.com Remote opportunities are not available in all areas and require team members to work from a fixed location due to tax and labor law implications - specific questions about remote positions can be discussed during the interview process with your recruiter.", "summaryDescription" : "Lead Healthcare Data Analyst (Post-sale) at HealthVerity. Skills: Data analysis, Data engineering, Machine learning, Business intelligence. Develop and maintain data pipelines. Build and optimize data models", "postedDate" : "2026-06-15T23:17:19.845", "createdAt" : "2026-06-15T23:17:19.845", "lastUpdated" : "2026-06-16T06:39:02.954", "ingestTimestamp" : "2026-06-15T23:17:19.845", "mongoId" : "6a3056b8f292fd229cf2d872", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 145000, "salaryAnnualMax" : 205000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Data warehousing", "ETL processes", "Data pipelines", "Data governance", "Data quality", "Statistical modeling", "Predictive modeling", "Machine learning models", "Data visualization", "Reporting", "Data analysis", "Data engineering", "Machine learning", "Business intelligence", "Data modeling", "Statistical analysis", "Analytics engineering", "Quantitative analysis", "Healthcare data", "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified", "SQL", "Python", "R", "Spark", "Snowflake", "BigQuery", "Redshift", "Databricks", "Dbt", "Fivetran", "Airflow", "AWS", "GCP", "Azure", "SageMaker", "Vertex AI", "Synapse", "ML Studio", "Scikit-learn", "TensorFlow", "PyTorch", "XGBoost", "LightGBM", "Hugging Face", "MLflow", "Tableau", "Power BI", "Looker" ], "skillCount" : 51, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Lead", "dataQualityScore" : 0.8888889, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2ca51974d8ee00a09b4ac2", "title" : "Director, Data Management and Systems", "company" : "Apogee Therapeutics", "industry" : "Biotech", "salary" : { "min" : 215000.0, "max" : 245000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Remote", "locations" : [ "Remote" ], "certifications" : [ "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified" ], "timestamp" : "2026-06-16T00:34:50.028", "fingerprint" : "a67a650203974e35a7812b79bd50b8cc4f96c4b227cf574f7ee5ceabd7897932", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/apogeetherapeutics/jobs/5161364007", "externalId" : "5161364007", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Bulgaria", "continent" : "eu", "workMode" : "remote" } ], "locationText" : "Bulgaria", "employmentType" : "FULL_TIME", "experienceMinYears" : 12, "experienceLevel" : "Director", "technicalSkills" : "SQL, Python, R, Scala, Spark, Dbt, Snowflake, BigQuery, Redshift, Databricks, Fivetran, Airflow, Dbt Cloud, Delta Lake, AWS, GCP, Azure, SageMaker, Vertex AI, ML Studio, Scikit-learn, TensorFlow, PyTorch, XGBoost, LightGBM, Hugging Face, MLflow", "professionalSkills" : [ "Data management", "Systems management", "Data engineering", "Machine learning", "Business intelligence", "Data analytics", "Quantitative analysis", "Statistical modeling" ], "hardSkillsList" : [ "Data warehousing", "ETL processes", "Data modeling", "Database administration", "Cloud computing", "Statistical analysis", "Machine learning algorithms", "Data visualization", "A/B testing", "Causal inference" ], "hardSkills" : [ { "name" : "Data warehousing", "level" : "intermediate" }, { "name" : "ETL processes", "level" : "intermediate" }, { "name" : "Data modeling", "level" : "intermediate" }, { "name" : "Database administration", "level" : "intermediate" }, { "name" : "Cloud computing", "level" : "intermediate" }, { "name" : "Statistical analysis", "level" : "intermediate" }, { "name" : "Machine learning algorithms", "level" : "intermediate" }, { "name" : "Data visualization", "level" : "intermediate" }, { "name" : "A/B testing", "level" : "intermediate" }, { "name" : "Causal inference", "level" : "intermediate" } ], "majorSkills" : "Data management, Systems management, Machine learning, Business intelligence", "majorSkillsList" : [ "Data management", "Systems management", "Machine learning", "Business intelligence" ], "coreResponsibilities" : "Oversee data management systems, Ensure data integrity, Develop and implement data strategies, Manage data governance policies, Lead data engineering initiatives, Build and maintain data pipelines, Optimize data storage and retrieval, Implement data quality controls, Drive analytics and BI initiatives, Develop predictive models, Collaborate with stakeholders", "teamCollaboration" : "Cross-functional teams; Business stakeholders", "domainKnowledge" : "Genomics; Drug discovery; Clinical trials", "domainList" : [ "genomics", "drug-discovery", "clinical-trials" ], "domainSpecificKnowledge" : [ "Genomics", "Drug discovery", "Clinical trials" ], "toolProficiency" : [ "Tableau", "Power BI", "Looker" ], "communicationSkills" : "Stakeholder communication", "documentationSkills" : "Technical documentation", "problemSolvingSkills" : "Analytical skills", "qualificationsBasic" : "5+ years experience, SQL proficiency, Bachelor's degree", "qualificationsPreferred" : "PhD preferred, GCP Professional Data Engineer certification, AWS Data Analytics certification, Databricks Certified certification, Dbt Certified certification, Experience with scikit-learn, Experience with TensorFlow, Experience with PyTorch, Experience with XGBoost, Experience with LightGBM, Experience with Hugging Face, Experience with MLflow", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "About Apogee Therapeutics Founded in 2022, Apogee Therapeutics, Inc. (Ticker: APGE) is a well-funded, Nasdaq listed company that offers the opportunity to work in a fast-paced, highly dynamic environment. At Apogee, you can actively contribute to shaping the company culture, take on various roles and responsibilities, and grow professionally. Apogee Therapeutics is a clinical-stage biotechnology company advancing novel biologics with potential for differentiated efficacy and dosing in the largest I ensure accountability and high-quality deliverables. Lead vendor selection and contract input for DM-related services. People Leadership advanced degree preferred. 12+ years of experience in clinical data management within biotech, pharma, or CRO environments. Experience in both operational DM and systems/technology implementation. Demonstrated leadership of DM activities across multiple clinical trials and programs. Technical Expertise Deep knowledge of EDC systems (e.g., Medidata Rave). Strong understanding of CDISC standards (SDTM, CDASH) and data lifecycle. Experience with data integrations, external data (labs, imaging, biomarkers), and decentralized trial technologies. Familiarity with data visualization and analytics tools is a plus. Leadership & Competencies Proven ability to lead cross-functional teams and influence at the program level. Strong strategic thinking with hands-on execution capability. Excellent communication and stakeholder management skills. Experience in fast-paced, growing organizations preferred. Ability to bridge systems/technology with clinical execution. Strong ownership mindset over data quality and delivery timelines. Proactive, solutions-oriented approach to complex data challenges. Effective leadership in ambiguity and evolving clinical landscapes. The anticipated salary range for candidates for this role will be $215,000 - $245,000/year. The final salary offered will depend on several factors, which may include, but is not limited to relevant years of experience, educational background, and geography. What We Offer A great culture, grounded in our C.O.R. E. values: Caring, Original, Resilient and Egoless Opportunity to work in a fast-paced, highly dynamic environment where you help shape the culture and company, wear multiple hats, and learn quickly Market competitive compensation and benefits package, including base salary, performance bonus, equity grant opportunities, health, welfare & retirement benefits We provide competitive time off, including three weeks PTO, two one-week company-wide shutdowns a year and dedicated paid sick leave Commitment to growing you professionally and providing access to resources to further your development Apogee offers regular all team, in-person meetings to build relationships and problem solve E-Verify Participation: As part of the I9 verification of authorization to work in the US, Apogee participates in E-Verify. To learn more about E-Verify please review this poster. Apogee Therapeutics is proud to be an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. To review our privacy policy, click here 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.", "summaryDescription" : "Director, Data Management and Systems at Apogee Therapeutics. Skills: Data management, Systems management, Machine learning, Business intelligence. Oversee data management systems. Ensure data integrity", "postedDate" : "2026-06-14T20:07:58.302", "createdAt" : "2026-06-14T20:07:58.302", "lastUpdated" : "2026-06-16T00:34:50.028", "ingestTimestamp" : "2026-06-14T20:07:58.302", "mongoId" : "6a2ca51974d8ee00a09b4ac2", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 215000, "salaryAnnualMax" : 245000, "salaryBand" : "200k+", "hasSalary" : true, "allSkills" : [ "Data warehousing", "ETL processes", "Data modeling", "Database administration", "Cloud computing", "Statistical analysis", "Machine learning algorithms", "Data visualization", "A/B testing", "Causal inference", "Data management", "Systems management", "Machine learning", "Business intelligence", "Data engineering", "Data analytics", "Quantitative analysis", "Statistical modeling", "Genomics", "Drug discovery", "Clinical trials", "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified", "Tableau", "Power BI", "Looker" ], "skillCount" : 28, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Director", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Biotech", "llmIndustryConfidence" : 0.98 }, { "id" : "6a210e4274d8ee00a0af6952", "title" : "AI and Data Engineer, Google Cloud", "company" : "Google", "industry" : "Technology", "salary" : { "min" : 3500000.0, "max" : 5500000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for AI and Data Engineer roles in Bengaluru, India, adjusted for mid-seniority at a large technology company." }, "location" : "[Bengaluru, Karnataka, India, [3, Old Madras Rd, Sadanandanagar, Bennigana Halli, Bengaluru, Karnataka 560038, India], Bengaluru, 560038, KA, IN]", "locations" : [ "[Bengaluru, Karnataka, India, [3, Old Madras Rd, Sadanandanagar, Bennigana Halli, Bengaluru, Karnataka 560038, India], Bengaluru, 560038, KA, IN]" ], "timestamp" : "2026-06-16T13:35:46.278", "fingerprint" : "54c8f088fb0672edc0ea6a7f5bbfd01198b4f714dbf06ba36b9acd3dc018273a", "source" : "google", "language" : "en", "externalId" : "86594383251415750", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Bengaluru", "state" : "Karnataka", "country" : "India", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "12.9767936,77.5900820" } ], "locationText" : "Bengaluru, Karnataka, India", "remoteFriendly" : false, "summaryDescription" : "AI and Data Engineer, Google Cloud at Google", "postedDate" : "2026-06-16T01:48:26.891", "createdAt" : "2026-06-16T01:48:26.891", "lastUpdated" : "2026-06-16T13:35:46.278", "ingestTimestamp" : "2026-06-16T01:48:26.891", "mongoId" : "6a210e4274d8ee00a0af6952", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Mid", "dataQualityScore" : 0.5555556, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a306002f292fd229cf84369", "title" : "Sr. Manager, Statistical Programming and Data Operations", "company" : "Kyowa Kirin North America", "industry" : "Pharma", "salary" : { "min" : 145000.0, "max" : 160000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Princeton, New Jersey, United States", "locations" : [ "Princeton", "New Jersey", "United States" ], "timestamp" : "2026-06-16T08:50:44.103", "fingerprint" : "49d9cfec2d36afaf4e7072ec9fd00eb8eee6a4c344e64335be311f83397963b8", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/kyowakirinusa90/jobs/7773426003", "externalId" : "7773426003", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Princeton", "state" : "New Jersey", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "40.3496953,-74.6597376" }, { "city" : "San Diego", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "32.7174202,-117.1627720" }, { "city" : "San Francisco", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "37.7879363,-122.4075201" } ], "locationText" : "Princeton, New Jersey, United States; San Diego, California, United States; San Francisco, California, United States", "employmentType" : "FULL_TIME", "experienceLevel" : "Manager", "technicalSkills" : "SAS, R, Microsoft Office", "professionalSkills" : [ "Vendor oversight", "Project management", "Data standards" ], "hardSkillsList" : [ "Statistical programming", "CDISC compliant submission", "Regulatory documents" ], "hardSkills" : [ { "name" : "Statistical programming", "level" : "intermediate" }, { "name" : "CDISC compliant submission", "level" : "intermediate" }, { "name" : "Regulatory documents", "level" : "intermediate" } ], "majorSkills" : "Statistical programming, CDISC standards, Vendor management", "majorSkillsList" : [ "Statistical programming", "CDISC standards", "Vendor management" ], "coreResponsibilities" : "Develop TLF shells, Develop CDISC deliverables, Develop TLFs, Participate in vendor selection, Oversee vendor processes, Review Requests for Proposal, Track stat/programming activities, Manage project budget, Manage timeline of deliverables, Ensure statistical deliverables meet timelines, Oversee statistical programming tasks, Manage stat/programming TMFs, Act as subject matter expert, Interface with in-house staff, Participate on project team, Manage cost of activities, Manage timeline of activities, Review protocols, Review case report forms, Review statistical analysis plans, Review specifications for raw data, Review clinical study reports, Review study-related documents, Provide statistical programming input, Prepare CDISC data submission package, Prepare SAS programming for regulatory documents, Provide statistical programming for publications, Provide statistical programming for presentations, Provide ad-hoc analyses, Provide post-hoc analyses, Conduct programming QC reviews, Support departmental initiatives, Improve programming activities, Coordinate with Japanese colleagues, Liaise regarding global procedures, Liaise regarding global processes, Liaise regarding global standards", "teamCollaboration" : "Cross-regional staffs; Project team; Japanese colleagues", "projectManagementSkills" : [ "Timeline management", "Budget management" ], "domainKnowledge" : "Clinical trials; Drug development; ICH guidelines; Regulatory guidance; Life sciences industry; Biostatistics; CDISC standards", "domainList" : [ "clinical-trials", "drug-development", "ich-guidelines", "regulatory-guidance", "life-sciences-industry", "biostatistics", "cdisc-standards" ], "domainSpecificKnowledge" : [ "Clinical trials", "Drug development", "ICH guidelines", "Regulatory guidance", "Life sciences industry", "Biostatistics", "CDISC standards" ], "toolProficiency" : [ "SAS", "Microsoft Office" ], "documentationSkills" : "TLF shells; CDISC datasets; Regulatory documents", "specialRequirements" : "FDA inspections", "qualificationsBasic" : "Bachelor's Degree or higher in Computer Science, Statistics, or related discipline, Six or more years of experience with a Master's degree, Eight or more years of experience with a Bachelor's degree, Proven experience in statistical programming for clinical trials, Experience in study oversight of statistical analysis for clinical trials, Demonstrated expertise in CDISC standards, Excellent proficiency in SAS", "qualificationsPreferred" : "Experience in data integration for ISS/ISE, Experience using SAS-LSAF, Advance skill in R", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "Kyowa Kirin is a fast-growing global specialty pharmaceutical company that applies state-of-the-art biotechnologies to discover and deliver novel medicines in four disease areas: bone and mineral; intractable hematologic; hematology oncology; and rare disease. A Japan-based company, our goal is to translate science into smiles by delivering therapies where no adequate treatments currently exist, working from drug discovery to product development and commercialization. In North America, we are headquartered in Princeton, NJ, with offices in California, North Carolina, and Mississauga, Ontario. Summary: Manager, Statistical Programming and Data Operations (SPDO) in Biostatistics is responsible for vendor oversight and management to deliver the high-quality tables, listings, and figures (TLFs), as well as CDISC datasets for clinical trials and integrated statistical analysis intended for regulatory submissions, interfacing with cross-regional staffs in establishing and maintaining global data standards and department procedures. Essential Functions: Vendor Oversight and Management • Responsible for developing TLF shells, CDISC deliverables, and TLFs in collaboration with stat/programming vendors. • Participate in vendor selection/oversight processes: Create and/or review Requests for Proposal (RFP); track the progress of stat/programming activities and the project budget for stat/programming vendor; and manage the timeline of stat/programming deliverables. • Collaborate with stat/programming vendors to ensure all statistical deliverables from the vendor meet timelines with quality. Oversee all aspects of statistical programming tasks performed by the vendor. • Manage the stat/programming related TMFs in collaboration with stat/programming vendors and act as a subject matter expert at FDA inspections. Internal Collaboration • Interface with in-house staff: Participate on project team meetings; and manage the cost and timeline of stat/programming activities in collaboration with each project manager. • Review protocols, case report forms, statistical analysis plans, specifications for raw data, clinical study reports, and the other study-related documents. • Collaborate with biostatistician to provide statistical programming input on project topics and issues. Statistical Programming • Responsible for preparation of CDISC data submission package and SAS programming for regulatory documents (e. g. Response to information requests from HA; Integrated summaries; BIMO; and DSUR). • Provide statistical programming for publications and presentations, ad-hoc and post-hoc analyses of clinical study data. • Conduct programming QC reviews of vendor deliverables in accordance with internal guidelines and work instructions. • Support departmental initiatives related to process building/improvement of programming activities. • Coordinate and liaise with our Japanese colleagues, as needed, regarding global procedures, processes, and standards. Requirements: Education Bachelor’s Degree or higher in Computer Science, Statistics, or closely related discipline. Experience • Proven experience in statistical programming for clinical trials in the life sciences industry: six or more years with a Master’s degree, or eight or more years with a Bachelor’s degree. • Experience in study oversight of statistical analysis for clinical trials in the life science industry • Demonstrated expertise in CDISC standards and CDISC compliant submission requirements. • Experience in data integration for ISS/ISE across multiple studies for regulatory submissions (preferred) • Experience in using SAS-LSAF (i. e. Life Science Analytics Framework), including its repository and programming environment (preferred) Technical Skills • Excellent proficiency in SAS (required); Advance skill in R (preferred). • Highly skilled in Microsoft Office applications (Word, PowerPoint, Excel, Outlook). • Familiarity with ICH guidelines (especially E9) and other regulatory guidance. • Solid understanding of development, regulatory and commercial aspects of drug development. The anticipated salary for this position will be $145,000 to $160,000. The actual salary offered for this role at commencement of employment may vary based on several factors including but not limited to relevant experience, skill set, qualifications, education (including applicable licenses and certifications, job-based knowledge, location, and other business and organizational needs. The listed salary is just one component of the overall compensation package. At Kyowa Kirin North America we provide a comprehensive range of benefits including: 401K with company match Annual Bonus Program (Sales Bonus for Sales Jobs) Generous PTO and Holiday Schedule which includes Summer and Winter Shut-Downs, Sick Days and, Volunteer Days Healthcare Benefits (Medical, Dental, Prescription Drugs and Vision) HSA Kyowa Kirin is not responsible for any fees related to unsolicited resumes. #Hybrid #Princeton", "summaryDescription" : "Sr. Manager, Statistical Programming and Data Operations at Kyowa Kirin North America. Skills: Statistical programming, CDISC standards, Vendor management. Develop TLF shells. Develop CDISC deliverables", "postedDate" : "2026-06-15T23:25:02.678", "createdAt" : "2026-06-15T23:25:02.678", "lastUpdated" : "2026-06-16T08:50:44.103", "ingestTimestamp" : "2026-06-15T23:25:02.678", "mongoId" : "6a306002f292fd229cf84369", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 145000, "salaryAnnualMax" : 160000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Statistical programming", "CDISC compliant submission", "Regulatory documents", "CDISC standards", "Vendor management", "Vendor oversight", "Project management", "Data standards", "Timeline management", "Budget management", "Clinical trials", "Drug development", "ICH guidelines", "Regulatory guidance", "Life sciences industry", "Biostatistics", "SAS", "Microsoft Office" ], "skillCount" : 18, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Manager", "dataQualityScore" : 1.0, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Pharma", "llmIndustryConfidence" : 0.95 }, { "id" : "693c2b8b70f0b99d5843fd84", "title" : "Data Engineer, Customer Experience and Business Trends, Customer Experience and Business Trends", "company" : "ADCI", "industry" : "Software Development, Data Engineering, cx and business trends", "salary" : { "min" : 1500000.0, "max" : 2500000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Data Engineer in Bengaluru, India, adjusted for the Technology industry and company size." }, "location" : "Bengaluru, Karnataka, IND", "locations" : [ "Bengaluru, Karnataka, IND" ], "timestamp" : "2026-06-15T01:42:33.331", "fingerprint" : "7babc7a223be06b9a652bce9ae82124acead22a1f8541114817c06d06644b4bf", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3138941/apply", "externalId" : "4b577681-e924-42dd-9fe2-3b0083d050d6", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Bengaluru", "state" : "Karnataka", "country" : "India", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "12.9767936,77.5900820" } ], "locationText" : "Bengaluru, Karnataka, India", "employmentType" : "FULL_TIME", "technicalSkills" : "AWS, Glue, Redshift, MWAA, EMR, Lambda, S3, Kinesis, RDS, Java, Python, Scala, AWS CDK, Typescript", "professionalSkills" : [ "Data modeling", "ETL pipelines", "Data warehousing", "Data lakes", "Data services", "Analytics infrastructure", "Data products", "Data solutions", "Business reporting", "Production data pipeline", "Machine learning", "Optimization models", "Statistical models", "Simulations" ], "hardSkillsList" : [ "Data modeling", "ETL pipelines", "Data warehousing", "Data lakes", "Data services", "Analytics infrastructure", "Data products", "Data solutions", "Business reporting", "Production data pipeline", "Machine learning", "Optimization models", "Statistical models", "Simulations", "Root cause analysis", "Query performance tuning" ], "softSkillsList" : [ "Business skills", "Communication skills" ], "hardSkills" : [ { "name" : "Data modeling", "level" : "intermediate" }, { "name" : "ETL pipelines", "level" : "intermediate" }, { "name" : "Data warehousing", "level" : "intermediate" }, { "name" : "Data lakes", "level" : "intermediate" }, { "name" : "Data services", "level" : "intermediate" }, { "name" : "Analytics infrastructure", "level" : "intermediate" }, { "name" : "Data products", "level" : "intermediate" }, { "name" : "Data solutions", "level" : "intermediate" }, { "name" : "Business reporting", "level" : "intermediate" }, { "name" : "Production data pipeline", "level" : "intermediate" }, { "name" : "Machine learning", "level" : "intermediate" }, { "name" : "Optimization models", "level" : "intermediate" }, { "name" : "Statistical models", "level" : "intermediate" }, { "name" : "Simulations", "level" : "intermediate" }, { "name" : "Root cause analysis", "level" : "intermediate" }, { "name" : "Query performance tuning", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Business skills" }, { "name" : "Communication skills" } ], "majorSkills" : "Data engineering, Analytics infrastructure, Data solutions, AWS services", "majorSkillsList" : [ "Data engineering", "Analytics infrastructure", "Data solutions", "AWS services" ], "coreResponsibilities" : "Manage AWS resources, Diagnose operational issues, Resolve operational issues, Perform root cause analysis, Respond to suggestions for enhancements, Identify process improvement opportunities, Drive innovation, Design data products, Evangelize data products, Implement data products, Design data solutions, Evangelize data solutions, Implement data solutions, Work in complex data environment, Employ right architecture, Handle data, Support analytics use cases, Support business reporting, Support production data pipeline, Support machine learning, Support optimization models, Support statistical models, Support simulations, Partner with software teams, Support integration of models, Support enhanced logic, Mentor Data Engineers, Train Data Engineers", "teamCollaboration" : "Partner with software teams", "domainKnowledge" : "Customer experience; Business trends; Econometrics; ML models; Data systems; Cloud data stacks; Data modeling; Data warehousing; ETL pipelines; Data systems; Database solutions; Data warehouse solutions; Data lake solutions; AWS services; Non-relational databases; Software development life cycle; Coding standards; Software architectures; Code reviews; Source control management; Continuous deployments; Testing; Operational excellence; Data products; Data sets; Data integration; AWS CDK; Query performance tuning", "domainList" : [ "customer-experience", "business-trends", "econometrics", "ml-models", "data-systems", "cloud-data-stacks", "data-modeling", "data-warehousing", "etl-pipelines", "database-solutions", "data-warehouse-solutions", "data-lake-solutions", "aws-services", "non-relational-databases", "software-development-life-cycle", "coding-standards", "software-architectures", "code-reviews", "source-control-management", "continuous-deployments", "testing", "operational-excellence", "data-products", "data-sets", "data-integration", "aws-cdk", "query-performance-tuning" ], "domainSpecificKnowledge" : [ "Customer experience", "Business trends", "Econometrics", "ML models", "Data systems", "Cloud data stacks", "Data modeling", "Data warehousing", "ETL pipelines", "Data systems", "Database solutions", "Data warehouse solutions", "Data lake solutions", "AWS services", "Non-relational databases", "Software development life cycle", "Coding standards", "Software architectures", "Code reviews", "Source control management", "Continuous deployments", "Testing", "Operational excellence", "Data products", "Data sets", "Data integration", "AWS CDK", "Query performance tuning" ], "toolProficiency" : [ "AWS", "Glue", "Redshift", "MWAA", "EMR", "Lambda", "S3", "Kinesis", "RDS", "AWS CDK", "Typescript" ], "communicationSkills" : "Business communication", "innovationCreativity" : "Innovation", "problemSolvingSkills" : "Root cause analysis", "qualificationsBasic" : "4+ years of data engineering experience, Experience with data modeling, Experience building ETL pipelines, Experience with SQL, Experience building large-scale data systems, Experience with database solutions, Experience with data warehouse solutions, Experience with data lake solutions, Knowledge of AWS services, Expertise in Java, Expertise in Python, Expertise in Scala", "qualificationsPreferred" : "Experience with non-relational databases, Knowledge of professional software engineering, Experience building data products incrementally, Experience integrating data sets, Experience with AWS CDK, Query performance tuning skills", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Would you like to join a customer-obsessed team focused on driving improved customer experiences across Amazon products and services? Customer Experience & Business Trends (CXBT) is looking for a Data Engineer to design, manage, and continuously enhance our analytics infrastructure. CXBT is focused on deeply understanding and improving Amazon customer experiences globally and uses this infrastructure to develop and deliver analytics applications for metrics generation, metrics correlation, econometrics, ML models, and other use cases to ultimately help provide insights that drive enhanced customer experiences. You will drive data engineering initiatives, and build end-to-end data solutions that are highly available, scalable, stable, secure, and cost-effective. You must possess excellent business and communication skills and be able to work with customers to analyze requirements and build solutions. You are a self-starter, have a proven track record of dealing with ambiguity and working in a fast-paced, highly dynamic environment. You are experienced in building efficient and scalable data services and have the ability to integrate data systems with AWS tools and services to support a variety of customer use cases/applications. Key job responsibilities - Manage AWS resources including Glue, Redshift, MWAA, EMR, Lambda. - Diagnose and resolve operational issues, perform detailed root cause analysis, respond to suggestions for enhancements. - Identify process improvement opportunities to drive innovation. - Design, evangelize, and implement state-of-the-art data products and solutions that help us provide a great customer experience. - Work in a complex data environment, employ the right architecture to handle data, and support various analytics use cases including business reporting, production data pipeline, machine learning, optimization models, statistical models, and simulations. - Partner with software teams to support integration of models and enhanced logic into portal-based tools. - Mentor and Train Data Engineers. About the team Customer Experience and Business Trends (CXBT) is an organization made up of a diverse suite of functions dedicated to deeply understanding and improving customer experience, globally. We are a team of builders that develop products, services, ideas, and various ways of leveraging data to influence product and service offerings - for almost every business at Amazon - for every customer (e.g., consumers, developers, sellers/brands, employees, investors, streamers, gamers). Our approach is based on determining the customer need, along with problem solving, and we work backwards from there. We use technical and non-technical approaches and stay aware of industry and business trends. We are a global team, made up of a diverse set of profiles, skills, and backgrounds - including: Product Managers, Software Developers, Computer Vision Experts, Solution Architects, Data Scientists, Business Intelligence Engineers, Business Analysts, Risk Managers, and more. Basic Qualifications: - 4+ years of data engineering experience - Experience with data modeling, warehousing and building ETL pipelines - Experience with SQL - Experience building large-scale, high-throughput, 24x7 data systems - Experience with database, data warehouse or data lake solutions - Knowledge of AWS services including S3, Redshift, EMR, Kinesis and RDS - Expertise in at least one of the programming languages: Java, Python, or Scala Preferred Qualifications: - Experience with non-relational databases / data stores (object storage, document or key-value stores, graph databases, column-family databases) - Knowledge of professional software engineering & best practices for full software development life cycle, including coding standards, software architectures, code reviews, source control management, continuous deployments, testing, and operational excellence - Experience building data products incrementally and integrating and managing data sets from multiple sources - Experience with AWS CDK (Typescript) - Query performance tuning skills using Unix profiling tools and SQL 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.", "summaryDescription" : "Data Engineer, Customer Experience and Business Trends, Customer Experience and Business Trends at ADCI. Skills: Data engineering, Analytics infrastructure, Data solutions, AWS services. Manage AWS resources. Diagnose operational issues", "postedDate" : "2026-06-13T03:22:02.881", "createdAt" : "2026-06-13T03:22:02.881", "lastUpdated" : "2026-06-15T01:42:33.331", "ingestTimestamp" : "2026-06-13T03:22:02.881", "mongoId" : "693c2b8b70f0b99d5843fd84", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3138941/apply", "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Data modeling", "ETL pipelines", "Data warehousing", "Data lakes", "Data services", "Analytics infrastructure", "Data products", "Data solutions", "Business reporting", "Production data pipeline", "Machine learning", "Optimization models", "Statistical models", "Simulations", "Root cause analysis", "Query performance tuning", "Business skills", "Communication skills", "Data engineering", "AWS services", "Customer experience", "Business trends", "Econometrics", "ML models", "Data systems", "Cloud data stacks", "Database solutions", "Data warehouse solutions", "Data lake solutions", "Non-relational databases", "Software development life cycle", "Coding standards", "Software architectures", "Code reviews", "Source control management", "Continuous deployments", "Testing", "Operational excellence", "Data sets", "Data integration", "AWS CDK", "AWS", "Glue", "Redshift", "MWAA", "EMR", "Lambda", "S3", "Kinesis", "RDS", "Typescript" ], "skillCount" : 51, "jobCategory" : "engineering", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "6a2cb0de74d8ee00a09db551", "title" : "Senior Data and Platform Engineer", "company" : "Avantos", "industry" : "Engineering", "salary" : { "min" : 165000.0, "max" : 225000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "The estimation is based on 2024-2025 market data for a Senior Data and Platform Engineer in New York, United States, with adjustments for seniority, company size, and the FinTech industry." }, "location" : "New York City", "locations" : [ "New York City" ], "timestamp" : "2026-06-16T01:43:36.688", "fingerprint" : "791ee05e9a932c88a1a3dc229ccc6d96b88ddb4135d2238f2514febf83289574", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/avantos/4b2dc531-155c-4d8a-97b7-d89e27a59c12/application", "externalId" : "4b2dc531-155c-4d8a-97b7-d89e27a59c12", "industryFunction" : { }, "structuredLocations" : [ { "city" : "New York", "state" : "New York", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "40.7127281,-74.0060152" }, { "country" : "United States", "continent" : "na", "workMode" : "remote" }, { "country" : "Canada", "continent" : "na", "workMode" : "remote" } ], "locationText" : "New York, New York, United States; United States; Canada", "employmentType" : "FULL_TIME", "experienceMinYears" : 7, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Golang, SQL, Terraform, AWS, Python, Docker, Kubernetes, LLMs, RAG, Vector search", "professionalSkills" : [ "Backend system design", "API design", "Data modeling", "System design" ], "hardSkillsList" : [ "Data engineering", "Platform engineering", "Backend infrastructure" ], "hardSkills" : [ { "name" : "Data engineering", "level" : "intermediate" }, { "name" : "Platform engineering", "level" : "intermediate" }, { "name" : "Backend infrastructure", "level" : "intermediate" } ], "majorSkills" : "Data platform, AI systems, Infrastructure", "majorSkillsList" : [ "Data platform", "AI systems", "Infrastructure" ], "coreResponsibilities" : "Design backend systems, Implement backend systems, Design data platform, Build data platform, Create scalable systems, Design data models, Design APIs, Make decisions about schemas, Make decisions about indexes, Make decisions about migrations, Make decisions about performance, Own infrastructure for data workloads, Own infrastructure for AI workloads, Enable self-serve data workflows, Improve observability, Improve reliability, Improve performance, Support AI/ML systems, Build tooling for document processing, Build tooling for metadata, Build tooling for normalization", "teamCollaboration" : "Engineering teams; Product teams", "domainKnowledge" : "Fintech; Regulated systems", "domainList" : [ "fintech", "regulated-systems" ], "domainSpecificKnowledge" : [ "Fintech", "Regulated systems" ], "toolProficiency" : [ "Terraform", "AWS", "Docker", "Kubernetes" ], "problemSolvingSkills" : "Performance; Reliability; Failure modes", "specialRequirements" : "Startup environment", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "SENIOR DATA & PLATFORM ENGINEER \uD83D\uDCCD NYC (HYBRID) OR US REMOTE | COMPETITIVE + EQUITY ABOUT AVANTOS Avantos is building the AI-native operating system for financial services — transforming fragmented data into a single, intelligent system that powers workflows, automation, and decision-making. We’re a product-led, fast-moving team at the intersection of AI, fintech, and modern infrastructure. THE ROLE We’re looking for a Senior Data & Platform Engineer to build the data and core platform and infrastructure layer that powers our AI systems. This is not just about pipelines — it’s about creating the systems, tooling, and abstractions that enable engineers and AI workflows to move fast, safely, and reliably. WHAT YOU’LL DO - Design and implement core backend systems and integrations that power the product. - Design and build our data platform (orchestration, pipelines, developer workflows) - Create scalable systems for data ingestion, transformation, and access - Design data models and APIs that won’t collapse under growth. - Make sane decisions about schemas, indexes, migrations, and performance. - Own infrastructure for data + AI workloads (containers, orchestration, cloud services) - Enable self-serve data workflows for engineering and product teams - Improve observability, reliability, and performance across the data stack - Support AI/ML systems (embeddings, vector data, model pipelines) - Build tooling for document processing, metadata, and normalization WHAT WE’RE LOOKING FOR - 7+ years in data engineering, platform engineering, or backend infrastructure - A track record of shipping and owning production systems. - Strong systems thinking (not just pipelines — platform mindset) - Backend system design and API design - Data modeling and relational databases - Performance, reliability, and failure modes - Proficiency in Golang, SQL, Terraform, AWS - Comfort in a fast-moving startup environment BONUS - LLMs / RAG, vector search, fintech or regulated systems - Have startup or early-stage experience. WHY JOIN - Build the foundation layer of an AI-native product - High ownership + direct impact - Work where data, platform, and AI converge THE FIT You’re someone who doesn’t just move data — you build the systems that make data usable at scale.", "summaryDescription" : "Senior Data and Platform Engineer at Avantos. Skills: Data platform, AI systems, Infrastructure. Design backend systems. Implement backend systems", "createdAt" : "2026-06-14T20:21:52.028", "lastUpdated" : "2026-06-16T01:43:36.688", "ingestTimestamp" : "2026-06-14T20:21:52.028", "mongoId" : "6a2cb0de74d8ee00a09db551", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 165000, "salaryAnnualMax" : 225000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Data engineering", "Platform engineering", "Backend infrastructure", "Data platform", "AI systems", "Infrastructure", "Backend system design", "API design", "Data modeling", "System design", "Fintech", "Regulated systems", "Terraform", "AWS", "Docker", "Kubernetes" ], "skillCount" : 16, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "FinTech", "llmIndustryConfidence" : 0.95 }, { "id" : "6a24e79074d8ee00a0026b84", "title" : "Healthcare Data Analyst", "company" : "VetsEZ", "industry" : "Healthcare", "salary" : { "min" : 75000.0, "max" : 105000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Healthcare Data Analyst in Tampa, United States, adjusted for industry and company size." }, "location" : "Tampa, FL", "locations" : [ "Tampa", "FL" ], "certifications" : [ "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified" ], "timestamp" : "2026-06-15T08:10:44.560", "fingerprint" : "44ec027342124f3fac27eec19dfb76f4c957d20b97de7f68f11b05fc50eaceaf", "source" : "breezyhr", "language" : "en", "applyUrl" : "https://vetsez.breezy.hr/p/83945c2afcd501-healthcare-data-analyst-remote-opportunity", "externalId" : "83945c2afcd501", "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", "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, GCP, Azure", "professionalSkills" : [ "Data mapping", "Data validation", "Actionable insights" ], "hardSkillsList" : [ "Statistical analysis", "Regression", "Classification", "Clustering", "Time-series analysis", "A/B testing", "Causal inference" ], "hardSkills" : [ { "name" : "Statistical analysis", "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 analysis, Data mapping, Data validation", "majorSkillsList" : [ "Data analysis", "Data mapping", "Data validation" ], "coreResponsibilities" : "Analyze healthcare data, Support data mapping, Support data validation, Translate needs into insights", "teamCollaboration" : "Delivery teams; Stakeholders", "domainKnowledge" : "Healthcare interoperability", "domainList" : [ "healthcare-interoperability" ], "domainSpecificKnowledge" : [ "Healthcare interoperability" ], "toolProficiency" : [ "Dbt Cloud" ], "qualificationsBasic" : "5+ years experience, Bachelor's degree", "qualificationsPreferred" : "Master's degree preferred, PhD preferred", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "VetsEZ is seeking a Healthcare Data Analyst to support a large federal healthcare interoperability program. In this role, you will analyze healthcare data, support data mapping and validation, and help translate operational and reporting needs into actionable insights for delivery teams and stakeho", "summaryDescription" : "Healthcare Data Analyst at VetsEZ. Skills: Data analysis, Data mapping, Data validation. Analyze healthcare data. Support data mapping", "createdAt" : "2026-06-13T23:04:08.438", "lastUpdated" : "2026-06-15T08:10:44.560", "ingestTimestamp" : "2026-06-13T23:04:08.438", "mongoId" : "6a24e79074d8ee00a0026b84", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 75000, "salaryAnnualMax" : 105000, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ "Statistical analysis", "Regression", "Classification", "Clustering", "Time-series analysis", "A/B testing", "Causal inference", "Data analysis", "Data mapping", "Data validation", "Actionable insights", "Healthcare interoperability", "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified", "Dbt Cloud" ], "skillCount" : 17, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Mid", "dataQualityScore" : 0.7777778, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.95 }, { "id" : "6a30511af292fd229cefa673", "title" : "Solutions Architect IV- Data and Analytics", "industry" : "IT", "salary" : { "min" : 85000.0, "max" : 135000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Solutions Architect IV in Bulgaria, adjusted for the technology industry and remote work." }, "location" : "US", "locations" : [ "US" ], "timestamp" : "2026-06-16T11:33:50.217", "fingerprint" : "1a58dd7bf18f2efdc2c046d8f3f4e1b90f08c87a7ddd6966c933a1be53219368", "source" : "lever", "language" : "en", "applyUrl" : "https://jobs.lever.co/jobgether/2b7d6fbe-231c-4004-828c-8606bceba0b0/apply", "externalId" : "2b7d6fbe-231c-4004-828c-8606bceba0b0", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Bulgaria", "continent" : "eu", "workMode" : "remote" } ], "locationText" : "Bulgaria", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Oracle Analytics Cloud, ETL, Power BI", "professionalSkills" : [ "Data modeling", "Data governance", "Self-service BI", "User access management", "Data quality processes", "ETL optimization", "System troubleshooting", "Project planning", "Stakeholder management" ], "hardSkillsList" : [ "Data ingestion", "Data transformation", "Reporting logic", "Data cleansing", "Reporting needs" ], "softSkillsList" : [ "Problem-solving" ], "hardSkills" : [ { "name" : "Data ingestion", "level" : "intermediate" }, { "name" : "Data transformation", "level" : "intermediate" }, { "name" : "Reporting logic", "level" : "intermediate" }, { "name" : "Data cleansing", "level" : "intermediate" }, { "name" : "Reporting needs", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Problem-solving" } ], "majorSkills" : "Data architecture, Data analytics, Business intelligence", "majorSkillsList" : [ "Data architecture", "Data analytics", "Business intelligence" ], "coreResponsibilities" : "Develop and maintain stakeholder relationships, Ensure data and analytics solutions align with business, Enhance and maintain stability of OAC environments, Enhance and maintain performance of OAC environments, Enhance and maintain scalability of OAC environments, Design data ingestion strategies, Support data ingestion strategies, Establish data governance standards, Maintain data governance standards, Document data sources, Document transformations, Document reporting logic, Promote self-service BI adoption, Promote visualization best practices, Manage user access, Manage security, Manage provisioning for analytics platforms, Support data quality processes, Validate data, Cleanse data, Optimize ETL, Collaborate with business users, Collaborate with IT teams, Troubleshoot system issues, Deliver enhancements, Support reporting needs, Participate in SDLC processes, Participate in project planning, Participate in Agile ceremonies, Communicate status updates, Communicate risks, Contribute to dashboard development, Contribute to report creation, Contribute to migration efforts, Lift and shift OAC content into Power BI", "teamCollaboration" : "Cross-functional collaboration efforts; Business users; IT teams", "projectManagementSkills" : [ "Agile ceremonies", "Project planning", "SDLC processes" ], "domainKnowledge" : "Data lake architectures; Modern data warehouse architectures; Enterprise BI architectures", "domainList" : [ "data-lake-architectures", "modern-data-warehouse-architectures", "enterprise-bi-architectures" ], "domainSpecificKnowledge" : [ "Data lake architectures", "Modern data warehouse architectures", "Enterprise BI architectures" ], "toolProficiency" : [ "Oracle Analytics Cloud", "Power BI" ], "communicationSkills" : "Presentation; Stakeholder management; Explain analytical insights", "documentationSkills" : "Documentation of data sources; Documentation of transformations; Documentation of reporting logic", "problemSolvingSkills" : "Problem-solving abilities", "specialRequirements" : "Willingness to travel periodically", "qualificationsBasic" : "Bachelor's degree in Computer Science, Information Systems, Business Administration, or related field, 5+ years of experience in BI, data analytics, or data architecture roles, Experience with relational databases, Data modeling concepts, ETL processes, Flat file data integration, Deep understanding of data analytics platforms, Reporting frameworks, Enterprise BI architectures, Ability to translate business requirements into technical data solutions, Explain analytical insights in simple terms, Experience working with stakeholders to define priorities, Gather requirements, Deliver data-driven solutions, Knowledge of Agile/Scrum methodologies, Basic project management principles, Communication skills, Presentation skills, Stakeholder management skills", "qualificationsPreferred" : "Hands-on experience with Microsoft Power BI or similar data visualization tools, Familiarity with data lake concepts, Emerging modern data warehouse architectures", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "## Accountabilities Develop and maintain strong stakeholder relationships to ensure data and analytics solutions align with evolving business requirements and priorities. Enhance and maintain stability, performance, and scalability of existing Oracle Analytics Cloud (OAC) environments. Design and support data ingestion strategies for modern data lake architectures using ETL tools, flat file processing, and integration frameworks. Establish and maintain data governance standards, including documentation of data sources, transformations, and reporting logic. Promote self-service BI adoption and visualization best practices across the organization using OAC and Power BI platforms. Manage user access, security, and provisioning for analytics platforms, ensuring appropriate governance and compliance. Support data quality processes including validation, cleansing, and ETL optimization to ensure reliable reporting outputs. Collaborate with business users and IT teams to troubleshoot system issues, deliver enhancements, and support reporting needs. Participate in SDLC processes, project planning, and Agile ceremonies while ensuring timely communication of status updates and risks. Contribute to dashboard development, report creation, and migration efforts including the “lift and shift” of legacy OAC content into Power BI. Requirements: Bachelor’s degree in Computer Science, Information Systems, Business Administration, or related field. 5+ years of experience in BI, data analytics, or data architecture roles covering design, development, implementation, and support of enterprise analytics solutions. Strong experience with relational databases, data modeling concepts, ETL processes, and flat file data integration. Hands-on experience with Microsoft Power BI or similar data visualization tools strongly preferred. Deep understanding of data analytics platforms, reporting frameworks, and enterprise BI architectures. Strong ability to translate business requirements into technical data solutions and explain analytical insights in simple terms. Experience working with stakeholders to define priorities, gather requirements, and deliver data-driven solutions. Familiarity with data lake concepts and emerging modern data warehouse architectures. Knowledge of Agile/Scrum methodologies and basic project management principles. Strong communication, presentation, and stakeholder management skills across technical and non-technical audiences. Self-starter mindset with strong problem-solving abilities and ability to lead cross-functional collaboration efforts. Willingness to travel periodically as required. Benefits: Competitive base salary with performance-based incentive compensation. Comprehensive health coverage including medical, dental, and vision insurance. Life insurance, disability coverage, and additional voluntary benefit options. Immediate eligibility for 401(k) with employer matching contributions. Generous paid time off including 80 hours (10 days) of company holidays annually. Adoption benefits and family support programs. Inclusive work environment with equal opportunity employment practices. Exposure to modern data architecture transformation and enterprise BI modernization initiatives. ## 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" : "Solutions Architect IV- Data and Analytics. Skills: Data architecture, Data analytics, Business intelligence. Develop and maintain stakeholder relationships. 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Reporters and editors; Data visualisation team", "projectManagementSkills" : [ "Project management" ], "domainKnowledge" : "Institutional investing; Wealth management; Financial advisory industry", "domainList" : [ "institutional-investing", "wealth-management", "financial-advisory-industry" ], "domainSpecificKnowledge" : [ "Institutional investing", "Wealth management", "Financial advisory industry" ], "toolProficiency" : [ "Flourish", "Adobe Illustrator" ], "communicationSkills" : "Translate quantitative findings", "problemSolvingSkills" : "Data analysis", "outcomesObjectives" : "Produce exclusive, data-driven reporting; Produce visual storytelling; Create engaging visualisations; Create interactive content; Deliver insights readers cannot find elsewhere; Enhance storytelling; Enhance audience engagement; Uncover new reporting opportunities", "qualificationsBasic" : "Demonstrated experience producing data-driven journalism, Interest in data journalism, Interest in visual storytelling, Interest in financial or business news, Proven track record to identify, analyse and communicate compelling stories through data, Experience using Python or R for data acquisition, cleaning, analysis and reporting, Proficiency with Excel, Experience working with APIs, Experience working with databases, Experience working with web scraping techniques, Knowledge of data visualisation standard processes, Exceptional attention to detail, Commitment to accuracy, Ability to translate complex quantitative findings into clear and engaging journalism for non-technical audiences, Communication skills, Collaboration skills, Project management skills, Experience working successfully within cross-functional teams, Experience working in time-sensitive environments", "qualificationsPreferred" : "PhD preferred, Specific ML framework experience, Cloud platform certs", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "About Us The Financial Times is one of the world’s leading news organisations, globally recognised for its authority, integrity and accuracy, with a mission to deliver quality information and services worldwide. At the FT, curiosity thrives and ambitious thinking is rewarded. Here, you’re given the chance to reach millions, create work that matters and deliver impartial journalism in a polarised world. In our warm, collaborative culture, you’ll connect with a diverse community of experts who support your growth, career aspirations and wellbeing. Your future at the FT will be filled with opportunities that challenge and inspire you. With no fixed path, you’ll discover new skills and forge a career that can take you anywhere. Build a newsworthy career at the FT. Our Commitment to Equity in the Workplace We believe in the power of unique perspectives and want all voices in our organisation to be heard, respected and valued. A supportive workplace is one where employees feel they can be themselves and operate to their full potential. We are committed to removing barriers for everyone, with a focus on addressing those faced by underrepresented groups. The Role / Position Overview FT Specialist is seeking a Data Reporter / Senior Data Reporter to join our growing data journalism team, producing exclusive, data-driven reporting and visual storytelling for FundFire and Financial Advisor IQ. This role sits at the intersection of journalism, data analysis and visual design. You will be responsible for sourcing, cleaning, analysing and interpreting complex datasets to uncover original stories covering institutional investments, wealth management and the financial advisory industry. You will also create engaging visualisations and interactive content that help our journalism stand out and deliver insights readers cannot find elsewhere. Working as part of a six-person data visualisation team, you will collaborate closely with reporters and editors across both publications while reporting to the Managing Editor of Data Visualization. The successful candidate will be equally comfortable developing ambitious long-term investigative and analytical projects as well as delivering shorter-turnaround stories that respond to emerging industry trends and news events. We are looking for a curious, collaborative and entrepreneurial journalist who is passionate about using data to reveal meaningful stories and who is committed to continually developing their skills in a fast-evolving newsroom environment. Key Responsibilities Develop original, data-driven stories covering institutional investing, wealth management and financial advisory businesses. Source, collect, clean and analyse structured and unstructured datasets using a range of journalistic and analytical techniques. Build compelling charts, graphics and interactive visualisations that enhance storytelling and audience engagement. Identify trends, anomalies and opportunities within datasets that lead to exclusive reporting. Run and complete both long-term analytical projects and shorter-term assignments driven by current events . Collaborate with reporters, editors and visual journalists across FundFire and Financial Advisor IQ. Support colleagues in applying data journalism procedures and interpreting quantitative information accurately. Use public records, databases, APIs, web scraping techniques and proprietary datasets to uncover new reporting opportunities. Ensure all reporting and analysis meets the highest standards of accuracy, transparency and journalistic integrity. Contribute to the ongoing development of data journalism capabilities across FT Specialist. Required Skills / Experience Demonstrated experience producing data-driven journalism, business reporting or analytical storytelling in a newsroom or comparable environment. Strong interest in data journalism, visual storytelling and financial or business news. Proven track record to identify, analyse and communicate compelling stories through data. Experience using Python or R for data acquisition, cleaning, analysis and reporting. Strong proficiency with Excel and other data analysis tools. Experience working with APIs, databases and web scraping techniques. Knowledge of data visualisation standard processes and experience using tools such as Flourish, Adobe Illustrator, HTML, CSS, JavaScript, D3 or comparable front-end technologies. Exceptional attention to detail and commitment to accuracy. Ability to translate complex quantitative findings into clear and engaging journalism for non-technical audiences. Strong communication, collaboration and project management skills. Experience working successfully within cross-functional teams and time-sensitive environments. What’s in it for You? Our Benefits Our benefits vary by location but we are committed to providing best-in-class perks across all our offices. These include generous annual leave, medical cover, inclusive parental leave packages, subsidised gym memberships and opportunities to give back to the community. Full details of our benefits are available here: https://aboutus.ft.com/careers/benefits. We’ve embraced a 50% hybrid working model (averaging two to three days onsite) that fosters trust and remote adaptability while encouraging in-person camaraderie and peer learning. Additionally, we are open to accommodating specific flexible working pattern requests for all roles where feasible. Accessibility We are committed to creating an inclusive and accessible recruitment process. Please let us know if you require any reasonable adjustments or accommodations during the application process or interview stage. If you would like to discuss your requirements, please contact talent@ft.com and a member of our team will be happy to help. Further Information A reasonable estimate of the salary range for this role is $75,000-$95,000. The upper end of the scale reflects pay of someone who comes in at the senior reporter level, with confirmed experience and strong work to show. Earlier career candidates will be considered for reporter-level roles. To ensure pay fairness, the successful candidate will be offered a salary within the estimated salary range based on a number of considerations including but not limited to: skills; experience and training; certifications; and other business and organisational needs. The disclosed range estimate is for our NYC office and has not been adjusted for other locations. This role is part of the FT Specialist US Guild and covered under a collective bargaining agreement with the Writers’ Guild of America East. At the FT, we embrace innovation and the use of technology and appreciate that individuals may use AI tools as part of their job application process. Whilst we are happy for you to use AI to assist with your application, it is crucial that all information provided is authentic and accurately represents your skills, experience, and qualifications. Candidates should be aware that the use of AI throughout the application process may be monitored to ensure a fair and transparent hiring process for all. Please beware of fraudulent job postings and offers claiming to be from the Financial Times. All legitimate opportunities will direct you to apply through the official Financial Times careers site, and the FT will never ask for financial information, payments, or referrals to third parties during the hiring process. If you have any concerns about the legitimacy of a job posting or suspect any scam activity, please contact talent@ft.com. Interested in the FT but don’t see the right role yet? Join our Talent Community to receive exclusive updates, featured jobs, and insights into working at the FT.", "summaryDescription" : "Data Reporter, Senior Data Reporter at Financial Times. Skills: Data journalism, Data analysis, Visual storytelling, Data visualisation. Develop original, data-driven stories. Source datasets", "postedDate" : "2026-06-16T01:20:06.423", "createdAt" : "2026-06-16T01:20:06.423", "lastUpdated" : "2026-06-16T11:05:22.596", "ingestTimestamp" : "2026-06-16T01:20:06.423", "mongoId" : "6a307653f292fd229c01868b", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 145000, "salaryAnnualMax" : 210000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Quantitative analysis", "Data interpretation", "Data visualisation", "Journalistic integrity", "Data journalism", "Data analysis", "Visual storytelling", "Data acquisition", "Data cleaning", "Reporting", "Storytelling", "Visualisation", "Interactive content", "Journalistic techniques", "Analytical projects", "Investigative projects", "Business reporting", "Analytical storytelling", "Project management", "Institutional investing", "Wealth management", "Financial advisory industry", "Flourish", "Adobe Illustrator" ], "skillCount" : 24, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Media", "llmIndustryConfidence" : 0.98 }, { "id" : "6a305119f292fd229cef9c97", "title" : "Lead Product Manager, Data and AI", "industry" : "Product", "salary" : { "min" : 85000.0, "max" : 130000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Lead Product Manager, Data and AI in Bulgaria, adjusted for SaaS industry and remote work." }, "location" : "US", "locations" : [ "US" ], "timestamp" : "2026-06-16T13:00:21.262", "fingerprint" : "82fe4f4fdc8ab1372055aa6158ae911736d6dc6afa73b5b74d4c6341bc3b8381", "source" : "lever", "language" : "en", "applyUrl" : "https://jobs.lever.co/jobgether/f4b9f71e-4327-4077-a695-5a7cf7ad3271/apply", "externalId" : "f4b9f71e-4327-4077-a695-5a7cf7ad3271", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Bulgaria", "continent" : "eu", "workMode" : "remote" } ], "locationText" : "Bulgaria", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 8, "experienceMaxYears" : 15, "experienceLevel" : "Lead", "technicalSkills" : "Machine learning, Generative AI, Large language models, LLMs, Advanced analytics", "professionalSkills" : [ "Product strategy", "Roadmap development", "Product lifecycle management", "Stakeholder management", "Product requirements", "Data-driven decision making" ], "hardSkillsList" : [ "AI development", "Analytics solutions", "Product performance measurement", "Experimentation frameworks" ], "softSkillsList" : [ "Leadership", "Mentoring" ], "hardSkills" : [ { "name" : "AI development", "level" : "intermediate" }, { "name" : "Analytics solutions", "level" : "intermediate" }, { "name" : "Product performance measurement", "level" : "intermediate" }, { "name" : "Experimentation frameworks", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Mentoring" } ], "majorSkills" : "Machine learning, Generative AI, Analytics solutions", "majorSkillsList" : [ "Machine learning", "Generative AI", "Analytics solutions" ], "coreResponsibilities" : "Define product vision and roadmap, Execute product vision and roadmap, Align initiatives with business objectives, Lead development of AI solutions, Lead deployment of AI solutions, Manage product lifecycle, Collaborate with cross-functional stakeholders, Integrate intelligent capabilities into products, Establish frameworks for measuring product performance, Establish frameworks for experimentation, Establish frameworks for business impact, Use data-driven insights for decision-making, Use data-driven insights for optimization, Translate business challenges into product requirements, Act as bridge between technical and non-technical stakeholders, Promote responsible AI development, Partner with governance stakeholders, Partner with privacy stakeholders, Partner with compliance stakeholders, Ensure ethical product outcomes, Ensure secure product outcomes, Ensure reliable product outcomes, Mentor team members, Contribute to product management best practices, Foster culture of innovation, Foster culture of collaboration, Foster culture of continuous improvement", "teamCollaboration" : "Cross-functional stakeholders; Product teams; Engineering teams; Design teams; Operations teams; Business teams; Multidisciplinary teams", "projectManagementSkills" : [ "Roadmap development", "Prioritization", "Execution" ], "domainKnowledge" : "Machine learning concepts; Generative AI technologies; Large language models; LLMs; Advanced analytics; AI infrastructure; Data privacy; Data governance; AI security; Ethical AI principles", "domainList" : [ "machine-learning-concepts", "generative-ai-technologies", "large-language-models", "llms", "advanced-analytics", "ai-infrastructure", "data-privacy", "data-governance", "ai-security", "ethical-ai-principles" ], "domainSpecificKnowledge" : [ "Machine learning concepts", "Generative AI technologies", "Large language models", "LLMs", "Advanced analytics", "AI infrastructure", "Data privacy", "Data governance", "AI security", "Ethical AI principles" ], "communicationSkills" : "Explain technical concepts; Explain trade-offs", "continuousLearning" : "Product management best practices", "innovationCreativity" : "Culture of innovation", "problemSolvingSkills" : "Navigate ambiguity; Prioritize competing objectives; Execute complex initiatives", "qualificationsBasic" : "Bachelor's or Master's degree in Computer Science, Data Science, Engineering, Mathematics, Statistics, or a related quantitative discipline, 8+ years of product management experience within enterprise SaaS, cloud software, technology, or highly regulated industries, At least 3 years of hands-on experience launching and scaling machine learning, AI, or data-driven products, Deep understanding of machine learning concepts, generative AI technologies, large language models (LLMs), advanced analytics, and the infrastructure required to support AI solutions, Proven ability to develop product strategies, navigate ambiguity, prioritize competing objectives, and successfully execute complex initiatives, Experience working across multidisciplinary teams in fast-paced environments", "qualificationsPreferred" : "Familiarity with regulated industries, Understanding of data privacy, governance, security, and ethical AI principles", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "## Accountabilities Define and execute a multi-year product vision and roadmap for data and AI platforms, aligning initiatives with business objectives, growth strategies, and operational priorities. Lead the development and deployment of advanced AI, machine learning, generative AI, and analytics solutions, managing the full product lifecycle from ideation and experimentation to scalable production delivery. Collaborate closely with cross-functional stakeholders across product, engineering, design, operations, and business teams to integrate intelligent capabilities into core products and workflows. Establish frameworks for measuring product performance, experimentation, and business impact, using data-driven insights to guide decision-making and optimization efforts. Translate complex business challenges into clear product requirements and act as a bridge between technical specialists and non-technical stakeholders. Promote responsible AI development by partnering with governance, privacy, and compliance stakeholders to ensure ethical, secure, and reliable product outcomes. Mentor team members, contribute to product management best practices, and help foster a culture of innovation, collaboration, and continuous improvement. Requirements Bachelor's or Master's degree in Computer Science, Data Science, Engineering, Mathematics, Statistics, or a related quantitative discipline. 8+ years of product management experience within enterprise SaaS, cloud software, technology, or highly regulated industries, with a strong track record of delivering large-scale products. At least 3 years of hands-on experience launching and scaling machine learning, AI, or data-driven products. Deep understanding of machine learning concepts, generative AI technologies, large language models (LLMs), advanced analytics, and the infrastructure required to support AI solutions. Proven ability to develop product strategies, navigate ambiguity, prioritize competing objectives, and successfully execute complex initiatives. Strong communication and stakeholder management skills, with the ability to explain technical concepts and trade-offs to executive and non-technical audiences. Experience working across multidisciplinary teams in fast-paced environments and influencing decisions without direct authority. Familiarity with regulated industries and an understanding of data privacy, governance, security, and ethical AI principles is considered a strong advantage. Benefits Annual base salary ranging from $161,000 to $221,500, depending on experience, qualifications, and location. Eligibility for performance-based or discretionary bonus programs. Comprehensive healthcare coverage, including medical, dental, vision, life, and disability insurance options. Flexible spending accounts (FSA) and health savings account (HSA) programs. Access to coaching, therapy, and well-being support services. Equity participation through company stock programs. Generous paid time off, including vacation, sick leave, and company holidays. Paid parental leave. 401(k) retirement plan with company matching contributions. Monthly technology allowance. Additional wellness initiatives, employee events, recognition programs, and community-focused activities. ## 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" : "Lead Product Manager, Data and AI. Skills: Machine learning, Generative AI, Analytics solutions. Define product vision and roadmap. Execute product vision and roadmap", "postedDate" : "2026-06-15T09:26:38.520", "createdAt" : "2026-06-15T09:26:38.520", "lastUpdated" : "2026-06-16T13:00:21.262", "ingestTimestamp" : "2026-06-16T03:24:32.331", "mongoId" : "6a305119f292fd229cef9c97", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "75k-100k", "hasSalary" : false, "allSkills" : [ "AI development", "Analytics solutions", "Product performance measurement", "Experimentation frameworks", "Leadership", "Mentoring", "Machine learning", "Generative AI", "Product strategy", "Roadmap development", "Product lifecycle management", "Stakeholder management", "Product requirements", "Data-driven decision making", "Prioritization", "Execution", "Machine learning concepts", "Generative AI technologies", "Large language models", "LLMs", "Advanced analytics", "AI infrastructure", "Data privacy", "Data governance", "AI security", "Ethical AI principles" ], "skillCount" : 26, "jobCategory" : "product", "jobSubcategory" : "product_management", "seniorityLevel" : "Lead", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "SaaS", "llmIndustryConfidence" : 0.98 }, { "id" : "6a16291c58b93c861e95a08c", "title" : "Utility Data and Modeling Analyst", "company" : "HDR", "salary" : { "min" : 85000.0, "max" : 115000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline data adjusted for mid-seniority, Saint Louis Park city tier, and the engineering/consulting industry." }, "location" : "Multiple Locations", "locations" : [ "Multiple Locations" ], "timestamp" : "2026-06-16T02:46:45.498", "fingerprint" : "750234fde7fa9a6099369120843b7d86c965903252b6816af102bf9bdbb7676d", "source" : "taleo", "language" : "en", "applyUrl" : "https://hdr.taleo.net/careersection/ex/jobdetail.ftl?job=779912", "externalId" : "779912", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Saint Louis Park", "state" : "Minnesota", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "44.9475726,-93.3569023" } ], "locationText" : "Saint Louis Park, Minnesota, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "technicalSkills" : "SQL, Power Query, Pandas, Python, R, Plotly, Seaborn, Matplotlib", "professionalSkills" : [ "Data engineering", "Business intelligence", "Data science", "Organizational skills" ], "hardSkillsList" : [ "Data modeling" ], "hardSkills" : [ { "name" : "Data modeling", "level" : "intermediate" } ], "majorSkills" : "Data analysis, Data modeling", "majorSkillsList" : [ "Data analysis", "Data modeling" ], "coreResponsibilities" : "Handle confidential information, Prioritize and handle multiple tasks, Manage various managers", "teamCollaboration" : "Employee-owned culture", "domainKnowledge" : "Utility data", "domainList" : [ "utility-data" ], "domainSpecificKnowledge" : [ "Utility data" ], "toolProficiency" : [ "MS Office", "Power BI", "Tableau" ], "communicationSkills" : "Grammar; Punctuation; Proofreading; Spelling; Telephone skills", "qualificationsBasic" : "Degree in closely related field or education/experience combination, Proficiency with MS Office, Proficiency with data engineering tools and languages, Proficiency with business intelligence tools, Proficiency with data science languages, Ability to handle confidential information, Excellent writing and people skills, Math and organizational skills, Flexibility and ability to prioritize, Handle multiple tasks and various managers, Excellent verbal and written communication skills, Commitment to being an active participant of employee-owned culture", "qualificationsPreferred" : "PhD preferred, Specific ML framework experience, Cloud platform certs", "remoteFriendly" : false, "workSiteFlexibility" : "Flexible", "rawDescription" : "Required Qualifications A degree in a closely related field or combination of education and relevant experience Self-motivated, detail-oriented professional, ability to multitask a must Proficiency with MS Office including Word and Outlook Proficiency with data engineering tools and languages such as SQL, Power Query, and Pandas Proficiency with business intelligence tools such as Power BI, Tableau, Plotly, Seaborn, and Matplotlib Proficiency with data science languages such as Python and R Ability to handle confidential information Excellent writing and people skills Strong math and organizational skills Flexibility and ability to prioritize and handle multiple tasks and various managers in a fast-paced environment Excellent verbal and written communication skills including grammar, punctuation, proofreading, spelling and telephone skills An attitude and commitment to being an active participant of our employee-owned culture is a must What We Believe HDR is our company. Together, we build on each other's life experiences and perspectives to make great things possible every day. This shapes our collaborative culture, encourages organizational trust and connects us closer to the clients and communities we serve. Our Commitment As employee owners, we all have a role in creating an inclusive environment where each of us is welcomed, valued, respected and empowered to bring our authentic selves to work every day. Our eight Employee Network Groups (Asian Pacific, Black, Hispanic/Latino(a), LGBTQ+, People with Disabilities, Veterans, Women, Young Professionals) help create a sense of belonging and foster a supportive environment where everyone is empowered to engage and contribute. Each group has an executive sponsor and is open to all employees. United States-Minnesota-Saint Louis Park", "summaryDescription" : "Utility Data and Modeling Analyst at HDR. Skills: Data analysis, Data modeling. Handle confidential information. Prioritize and handle multiple tasks", "createdAt" : "2026-06-14T21:31:19.547", "lastUpdated" : "2026-06-16T02:46:45.498", "ingestTimestamp" : "2026-06-14T21:31:19.547", "mongoId" : "6a16291c58b93c861e95a08c", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 85000, "salaryAnnualMax" : 115000, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ "Data modeling", "Data analysis", "Data engineering", "Business intelligence", "Data science", "Organizational skills", "Utility data", "MS Office", "Power BI", "Tableau" ], "skillCount" : 10, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Mid", "dataQualityScore" : 0.7777778, "hasLocation" : true, "hasGeo" : true, "llmIndustryConfidence" : 0.92 }, { "id" : "6a3055c5f292fd229cf216a6", "title" : "Data Analyst", "company" : "Rogers Behavioral Health", "industry" : "Healthcare", "salary" : { "min" : 58000.0, "max" : 78000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Junior Data Analyst in Oconomowoc, WI, adjusted for the healthcare industry and company size." }, "location" : "Oconomowoc, WI", "locations" : [ "Oconomowoc, WI", "United States of America" ], "timestamp" : "2026-06-16T15:40:47.838", "fingerprint" : "81c13d7c6b1ab723124ceaba11eb9471dff168023c6240eadc0356295effaf99", "source" : "workday", "language" : "en", "applyUrl" : "https://rogersbh.wd1.myworkdayjobs.com/RBHCareer/job/Executive-Drive-Oconomowoc-WI/Data-Analyst_R7331", "externalId" : "R7331", "industryFunction" : { }, "locationPoint" : "43.11167,-88.49927", "structuredLocations" : [ { "city" : "Oconomowoc", "state" : "Wisconsin", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "43.1116731,-88.4992659" } ], "locationText" : "Oconomowoc, Wisconsin, United States", "employmentType" : "FULL_TIME", "technicalSkills" : "Power BI, R, SQL, Python, Microsoft Office", "hardSkillsList" : [ "Data analysis", "Statistical analysis", "Data visualization", "Data gathering", "Report development", "Data management", "Data extraction", "Data utilization", "Data cleaning", "Hypothesis testing", "A/B testing", "Regression analysis" ], "hardSkills" : [ { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Statistical analysis", "level" : "intermediate" }, { "name" : "Data visualization", "level" : "intermediate" }, { "name" : "Data gathering", "level" : "intermediate" }, { "name" : "Report development", "level" : "intermediate" }, { "name" : "Data management", "level" : "intermediate" }, { "name" : "Data extraction", "level" : "intermediate" }, { "name" : "Data utilization", "level" : "intermediate" }, { "name" : "Data cleaning", "level" : "intermediate" }, { "name" : "Hypothesis testing", "level" : "intermediate" }, { "name" : "A/B testing", "level" : "intermediate" }, { "name" : "Regression analysis", "level" : "intermediate" } ], "majorSkills" : "Data analysis, Reporting, SQL", "majorSkillsList" : [ "Data analysis", "Reporting", "SQL" ], "coreResponsibilities" : "Assist in retrieving data, Build reports and dashboards, Visualize key metrics, Assist with creating research datasets, Participate in data management tasks, Query and merge datasets, Learn and develop proficiency in data analysis tools, Collaborate with the team, Develop a fundamental understanding of data sources, Develop a fundamental understanding of data extraction process, Support team with data extraction, Support team with data utilization, Assist with contextualizing data, Assist with data flow automation, Work closely with data analysts, Work closely with leaders, Understand business needs, Contribute to data-driven decision-making, Participate in innovative data analysis projects, Contribute to organization's journey, Learn and provide support for data analysis tasks, Contribute to data-driven hypothesis testing, Contribute to A testing, Contribute to regression analysis, Contribute to other statistical methods, Participate in meetings, Assist in presenting basic reports, Assist in presenting findings, Assist in presenting analyses, Promote a team atmosphere, Treat individuals with respect, Treat individuals with honesty, Use direct communication, Use active listening skills, Be open to change, Actively support change, Be open to others’ ideas, Be open to others’ points of view, Evaluate employees objectively, Provide employees with periodic feedback, Promote department goals, Promote the mission of the hospital, Communicate goals to fellow staff members, Maintain department policies, Maintain department procedures, Include requirements from external agencies, Maintain function backlog, Communicate function backlog, Educate new staff regarding regulations, Educate new staff regarding requirements, Demonstrate acceptance of student interns, Demonstrate training of student interns, Participate in hospital committees, Participate in performance improvement team meetings, Participate in team projects, Demonstrate punctuality, Demonstrate preparedness, Demonstrate effective communication skills, Demonstrate good organizational skills, Contribute in a positive manner, Contribute in a solution-focused manner, Conduct self in a professional manner, Demonstrate organizational skills, Promote timely response to inquiries, Promote timely task completion, Communicate with all individuals professionally, Attempt to resolve individual issues with peers, Communicate concerns, Provide solutions for concerns, Project a professional image, Wear appropriate professional attire, Influence departments within Rogers, Provide technical guidance", "teamCollaboration" : "Work closely with data analysts; Work closely with leaders; Collaborate with the team", "toolProficiency" : [ "Power BI", "R", "SQL", "Microsoft Office", "Python" ], "communicationSkills" : "Written communication; Verbal communication; Presenting reports; Presenting findings; Presenting analyses", "continuousLearning" : "Tuition reimbursement", "innovationCreativity" : "Innovative data analysis projects", "qualificationsBasic" : "Bachelor's degree in relevant field, 1-3 years experience in data analysis, Experience with data visualization tools, Experience with at least one statistical programming language, Experience querying data using SQL scripting", "qualificationsPreferred" : "Microsoft Fabric experience highly preferred, Desire to build foundational knowledge in advanced analytic/statistical methods", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Summary: The Data Analyst plays an essential role in supporting data gathering, analysis, and report development. This position will utilize data and develop reports, while also being dedicated to learning the fundamentals of data analysis and developing foundational skills to contribute to the organization's data-driven initiatives. The Data Analyst will assist senior team members while also creating output to help system leaders in understanding key metrics. # **__Job Duties & Responsibilities__**: ## Data Gathering and Reporting: * Assist in retrieving data from various sources and build reports and dashboards to visualize key metrics to system leader and/or assist with creating research datasets * Participate in data management tasks by querying and merging datasets. * Learn and develop proficiency in data analysis tools and software such as Power BI, R, SQL, Microsoft Office, Python, and others. ## Data Extraction and Utilization: * Collaborate with the team to develop a fundamental understanding of data sources and the data extraction process. * Support team with data extraction and utilization efforts. * Assist with contextualizing data and data flow automation. ## Collaboration and Learning: * Work closely with data analysts and leaders to understand business needs and contribute to data-driven decision-making. * Participate in innovative data analysis projects and contribute to the organization's journey towards becoming more data-driven. ## Data Analysis Support: * Learn and provide support for data analysis tasks, such as data cleaning and statistical analysis. * Contribute to data-driven hypothesis testing, A/B testing, regression analysis, and other statistical methods. ## Effective Communication: * Participate in meetings and assist in presenting basic reports, findings, and analyses to stakeholders within the system. ## Promote a team atmosphere by treating individuals with respect and honesty and by using direct communication and active listening skills. * Be open to change and actively support change. * Be open to others’ ideas and points of view. * Evaluate employees objectively and provide employees with periodic feedback. ## Promote department goals as well as the mission of the hospital. * Communicate goals to fellow staff members. * Maintain department policies and procedures. * Include requirements and guidelines from external agencies (i.e., Joint Commission, State of Wisconsin). * Maintain and/or communicate to appropriate party function backlog at a set time. * Educate new staff regarding regulations or requirements of those functions that relate to their areas or departments, as directed. * Demonstrate acceptance and training of student interns in the department, as directed. ## Participate in hospital committees, performance improvement team meetings, and team projects, as directed. * Demonstrate punctuality and preparedness. * Demonstrate effective communication skills. * Demonstrate good organizational skills. * Contribute in a positive, solution-focused manner. ## Conduct self in a professional manner. * Demonstrate organizational skills that promote timely response to all inquiries and to task completion. * Communicate with all individuals in a positive and professional manner. * Attempt to resolve individual issues with peers in a positive, calm manner, with a focus on solution. * Communicate concerns and provide solutions for same. * Project a professional image by wearing appropriate, professional attire. * Ability to influence departments within Rogers and provide technical guidance. **Additional Job Description:** ## Requirements/Qualifications * Bachelor's degree in a relevant field (e.g., computer science, math/statistics, economics, psychology, etc.). * 1-3 years of experience in a data analysis-related role * Strong interest in data analysis and a willingness to learn and grow in the field. * Experience with data visualization tools (e.g., Power BI, Tableau, Looker, etc.). * Experience with at least one statistical programming language (e.g., R, Python, SAS, Stata, etc.). * Experience querying data using SQL scripting. * Experience with Microsoft Fabric is highly preferrred. * A desire to build foundational knowledge in advanced analytic/statistical methods. * Exceptional written and verbal communication skills. * A meticulous and detail-oriented approach. With a career at Rogers, you can look forward to a Total Rewards package of benefits, including: * Health, dental, and vision insurance coverage for you and your family * 401(k) retirement plan * Employee share program * Life/disability insurance * Flex spending accounts * Tuition reimbursement * Health and wellness program * Employee assistance program (EAP) _Through UnitedHealthcare, UMR and HealthSCOPE Benefits creates and publishes the Machine-Readable Files on behalf of Rogers Behavioral Health._ _To link to the Machine-Readable Files, please visit_ [**Transparency in Coverage (uhc.com)**](https://nam10.safelinks.protection.outlook.com/?url=https%3A%2F%2Ftransparency-in-coverage.uhc.com%2F&data=05%7C02%7CJumana.Adamjee%40rogersbh.org%7Cd71e809e401648720d4808dc9a097563%7Cd2ad4f331a7a4f81b69f497f7b3e308b%7C0%7C0%7C638554612646435009%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C0%7C%7C%7C&sdata=RbxZA8HjAE8auNJzL9l1u8ekjWZcmstn%2Bh5QOMc0jGU%3D&reserved=0)", "summaryDescription" : "Data Analyst at Rogers Behavioral Health. Skills: Data analysis, Reporting, SQL. Assist in retrieving data. Build reports and dashboards", "postedDate" : "2026-06-16T03:44:55.490", "createdAt" : "2026-06-16T03:44:55.447", "lastUpdated" : "2026-06-16T15:40:47.838", "ingestTimestamp" : "2026-06-16T03:44:55.447", "mongoId" : "6a3055c5f292fd229cf216a6", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://rogersbh.wd1.myworkdayjobs.com/RBHCareer/job/Executive-Drive-Oconomowoc-WI/Data-Analyst_R7331", "salaryAnnualMin" : 58000, "salaryAnnualMax" : 78000, "salaryBand" : "50k-75k", "hasSalary" : true, "allSkills" : [ "Data analysis", "Statistical analysis", "Data visualization", "Data gathering", "Report development", "Data management", "Data extraction", "Data utilization", "Data cleaning", "Hypothesis testing", "A/B testing", "Regression analysis", "Reporting", "SQL", "Power BI", "R", "Microsoft Office", "Python" ], "skillCount" : 18, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "mid", "dataQualityScore" : 0.8888889, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.95 }, { "id" : "6a306744f292fd229cfbb1ab", "title" : "Data Scientist", "company" : "Tactile Medical", "industry" : "Healthcare", "salary" : { "min" : 100500.0, "max" : 150675.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Corporate", "locations" : [ "Corporate" ], "timestamp" : "2026-06-16T11:10:49.753", "fingerprint" : "f718036c327c571fbaaee5e06aa45e9f62564105866497cd0528d10a0ff5e709", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/tactilemedical/jobs/4282685009", "externalId" : "4282685009", "industryFunction" : { }, "structuredLocations" : [ { "country" : "United States", "continent" : "na", "workMode" : "onsite" } ], "locationText" : "United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 4, "experienceMaxYears" : 7, "experienceLevel" : "Mid", "technicalSkills" : "Python, SQL, Salesforce CRM", "professionalSkills" : [ "Predictive modeling", "Data science", "Machine learning" ], "hardSkillsList" : [ "Causal inference", "Predictive analytics", "Statistical modeling" ], "hardSkills" : [ { "name" : "Causal inference", "level" : "intermediate" }, { "name" : "Predictive analytics", "level" : "intermediate" }, { "name" : "Statistical modeling", "level" : "intermediate" } ], "majorSkills" : "Data science, Machine learning, Predictive modeling", "majorSkillsList" : [ "Data science", "Machine learning", "Predictive modeling" ], "coreResponsibilities" : "Build causal inference models, Develop predictive analytics, Train commercial team users, Communicate model pipeline status, Collect internal stakeholder needs, Manage assigned projects", "teamCollaboration" : "Marketing leadership; Market access leadership; Sales excellence leadership; Commercial leadership", "domainKnowledge" : "Healthcare claims data; Referral-based commercial models; Payer coverage dynamics; Prior authorization processes; DME reimbursement; Medical device reimbursement", "domainList" : [ "healthcare-claims-data", "referral-based-commercial-models", "payer-coverage-dynamics", "prior-authorization-processes", "dme-reimbursement", "medical-device-reimbursement" ], "domainSpecificKnowledge" : [ "Healthcare claims data", "Referral-based commercial models", "Payer coverage dynamics", "Prior authorization processes", "DME reimbursement", "Medical device reimbursement" ], "toolProficiency" : [ "Power BI", "Fabric" ], "communicationSkills" : "Translate technical findings", "problemSolvingSkills" : "Intellectual curiosity", "qualificationsBasic" : "Bachelor's degree in quantitative field, 4-7 years applied data science experience, 4-7 years machine learning experience, Experience creating predictive models for non-data-scientists, Expert-level Python skills, Expert-level SQL skills, Transform messy healthcare data", "qualificationsPreferred" : "Master's or PhD in quantitative field, Survival analysis experience, Salesforce data architecture familiarity, Power BI development experience, Tableau development experience", "rawDescription" : "At Tactile Medical, we specialize in developing at-home therapy devices to treat lymphedema, chronic venous insufficiency and respiratory illnesses. Position Summary The Marketing Data Scientist is the predictive intelligence engine of TCMD's Marketing and Market Access organization. The primary work is finding connections in TCMD's data that no one has looked for yet, building predictive models, and translating validated models into forward-looking tools. This individual synthesizes insights from Tactile’s internal and external data platforms to develop and explore hypotheses for growth. The role's mission is to surface predictive insights from these systems that inform commercial strategy before decisions are finalized. This role collaborates closely with marketing and market access leadership along with sales excellence and commercial leadership. Accountabilities building causal inference models isolating incremental referral lift from specific marketing programs • Develop predictive analytics supporting payer targeting and coverage expansion opportunities • Train commercial team users on how to interpret and act on model outputs and the specific decisions the model is designed to support • Communicate within marketing and market access on status of model pipeline and backlog; routinely collect voice of internal stakeholder needs to drive continuous improvement in data driven decision making • Manage assigned projects to completion on time, within scope, and within budget. • Other duties as assigned. Qualifications Required: • Bachelor's degree in data science, statistics, mathematics, computer science, economics, or a quantitative field with strong statistical foundations • 4-7 years applied data science or machine learning experience, applied in commercial or operational environments • Experience creating predictive models for non-data-scientists to make real commercial or operational decisions • Comfort with messy healthcare commercial data, intellectual curiosity, and the communication discipline to translate technical findings into commercial language • Expert-level modern data science skills in Python and SQL working with structured data and machine-learning frameworks; version-controlled code development and deployment • Ability to transform messy, real-world healthcare data with missing values, inconsistent coding, and multiple granularities into reliable predictive model inputs • Working knowledge of Salesforce CRM architecture, healthcare claims data, Power BI/Fabric deployment environments Preferred: • Master's or PhD in quantitative field • Understanding of referral-based commercial models, payer coverage dynamics, prior authorization processes, and DME/medical device reimbursement • Survival analysis experience — has applied time-to-event modeling in a commercial context (e.g., customer churn, time-to-conversion, time-to-renewal). Particularly relevant for funnel stage duration modeling and HCP churn prediction • Salesforce data architecture familiarity — understands the Salesforce object model well enough to write efficient queries and build reliable features from CRM data without requiring a Salesforce administrator to extract data • Power BI or Tableau development experience sufficient to deploy model scoring outputs as operational dashboards • Experience in a B2B2C or referral-based commercial model where the customer and the end user are different Our total compensation package includes medical, dental and vision benefits, retirement benefits, employee stock purchase plan, paid time off, parental leave, family medical leave, volunteer time off and additional leave programs, life insurance, disability coverage, and other life and work wellness benefits and discounts. Benefits may be subject to generally applicable eligibility, waiting period, contributions, and other requirements and conditions. Below is the starting salary or hourly range for this position, although offers may differ based on the candidate's location, job-specific knowledge, skills and experience. US Pay Range $100,500—$150,675 USD To learn more about our Privacy Statement follow this link - https://tactilemedical.com/privacy-statement/ To learn more about our California Privacy Notice follow this link - https://tactilemedical.com/california-privacy-notice/", "summaryDescription" : "Data Scientist at Tactile Medical. Skills: Data science, Machine learning, Predictive modeling. Build causal inference models. Develop predictive analytics", "postedDate" : "2026-06-15T23:28:42.042", "createdAt" : "2026-06-15T23:28:42.042", "lastUpdated" : "2026-06-16T11:10:49.753", "ingestTimestamp" : "2026-06-15T23:28:42.042", "mongoId" : "6a306744f292fd229cfbb1ab", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 100500, "salaryAnnualMax" : 150675, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Causal inference", "Predictive analytics", "Statistical modeling", "Data science", "Machine learning", "Predictive modeling", "Healthcare claims data", "Referral-based commercial models", "Payer coverage dynamics", "Prior authorization processes", "DME reimbursement", "Medical device reimbursement", "Power BI", "Fabric" ], "skillCount" : 14, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Mid", "dataQualityScore" : 1.0, "daysOld" : 0, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.98 }, { "id" : "6a3055f1f292fd229cf23389", "title" : "Support and Data Operations Associate (Fixed-term)", "company" : "Foursquare", "industry" : "Finance", "salary" : { "min" : 1000000.0, "max" : 1500000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Junior Support and Data Operations Associate in Belgrade, Serbia, adjusted for the technology industry and company size." }, "location" : "Serbia", "locations" : [ "Serbia" ], "certifications" : [ "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified" ], "timestamp" : "2026-06-16T08:56:17.647", "fingerprint" : "aaf5559b6dd261874f5f77a1afd61a6fd75d245824898322671fec42e45798b8", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/foursquare/b98303fd-481a-4f08-9feb-451f7c9b179e/application", "externalId" : "b98303fd-481a-4f08-9feb-451f7c9b179e", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Belgrade", "country" : "Serbia", "continent" : "eu", "source" : "llm", "workMode" : "hybrid", "geo" : "44.8153318,20.4456588" } ], "locationText" : "Belgrade, Serbia", "employmentType" : "FULL_TIME", "technicalSkills" : "SQL, Python, R, Scala, Spark, Dbt, Tableau, Power BI, Looker, Metabase, Superset, Qlik, MicroStrategy, Snowflake, BigQuery, Redshift, Databricks, Fivetran, Airflow, Dbt Cloud, Delta Lake, Scikit-learn, TensorFlow, PyTorch, XGBoost, LightGBM, Hugging Face, MLflow, AWS, GCP, Azure, S3, Glue, SageMaker, Athena, Vertex AI, Synapse, ML Studio", "professionalSkills" : [ "Data engineering", "Machine learning", "Business intelligence", "Data analytics", "Quantitative analysis", "Data modelling" ], "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, Data engineering, Machine learning, Business intelligence", "majorSkillsList" : [ "Data science", "Data engineering", "Machine learning", "Business intelligence" ], "toolProficiency" : [ "SQL", "Python", "R", "Scala", "Spark", "Dbt", "Tableau", "Power BI", "Looker", "Metabase", "Superset", "Qlik", "MicroStrategy", "Snowflake", "BigQuery", "Redshift", "Databricks", "Fivetran", "Airflow", "Dbt Cloud", "Delta Lake", "Scikit-learn", "TensorFlow", "PyTorch", "XGBoost", "LightGBM", "Hugging Face", "MLflow", "AWS", "GCP", "Azure", "S3", "Glue", "SageMaker", "Athena", "Vertex AI", "Synapse", "ML Studio" ], "qualificationsBasic" : "SQL proficiency, 5+ years of experience", "qualificationsPreferred" : "PhD preferred, GCP Professional Data Engineer certification, AWS Data Analytics certification, Databricks Certified certification, Dbt Certified certification, Experience with scikit-learn, Experience with TensorFlow, Experience with PyTorch, Experience with XGBoost, Experience with LightGBM, Experience with Hugging Face, Experience with MLflow, Experience with Snowflake, Experience with BigQuery, Experience with Redshift, Experience with Databricks, Experience with dbt, Experience with Fivetran, Experience with Airflow, Experience with dbt Cloud, Experience with Delta Lake, Experience with AWS SageMaker, Experience with GCP Vertex AI, Experience with Azure ML Studio", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "About Foursquare Foursquare is the leading independent location technology and data cloud platform, helping businesses connect the digital and physical worlds with precision and purpose. Our products power everything from market analytics to targeted experiences, relied on by some of the world’s most iconic brands. But what makes Foursquare truly special is how we work. We're a team of builders, problem-solvers, and collaborators who care deeply about impact – both in the products we ship and the way we show up for each other. Great outcomes come from strong collaboration and shared ownership, and we believe growth happens through real challenges – whether that’s leveling up a skill, tackling unfamiliar problems, or pushing a project forward in a new way. If you're excited by cutting-edge tech and a culture that values both autonomy and teamwork, you’ll thrive here. About the Position Foursquare is looking for a Support and Data Operations Associate to join our team in our Belgrade office; on a hybrid schedule of Tuesday, Wednesday, Thursday in office. We are looking for an inquisitive, adaptable, and highly motivated Data Support Associate to join our team. In this role, you will be primarily focused on executing web crawls, manipulating data, and utilizing internal pipeline tools to ensure data quality and availability. This is an internally focused, highly technical role where persistence, vigilance, and the ability to learn and iterate quickly are essential. If you enjoy solving technical puzzles, building and maintaining data flows, and continuously learning new skills, we want you on our team! Please note that this is a fixed-term position for an initial period of one year, with the possibility of extension. In this role, you’ll - Web Crawling & Extraction: Execute and manage web crawling initiatives, extracting data, and adapting quickly when target site structures change. - Data Manipulation & Pipelines: Utilize internal tools to perform data cleanup, matching, and transformations to ensure high data quality and reliability. - Technical Troubleshooting: Be vigilant in monitoring data pipelines; investigate issues, read and interpret log files, implement workarounds, and escalate complex technical problems. - Continuous Improvement: Learn and adapt to new internal tools and technical processes rapidly, iterating on existing workflows to improve efficiency. - Documentation: Create and maintain technical process documentation and how-to guides to empower internal teams What you’ll need - Proficient level of written and verbal English - 1+ years of experience working in data-oriented customer operations, technical support, analytics, or similar roles. - Proficiency in Python or Scala, with strong SQL skills. - Proficiency in Regular Expressions (Regex) for pattern matching, data extraction, validation, and web content processing. - Familiarity with data analysis tools and libraries (e.g., PySpark, pandas), web crawling concepts and execution. - General technical troubleshooting skills: ability to read/interpret/transform log files, comfort navigating command-line interfaces (CLI) and APIs, and a strong capacity for independent research. - Your own unique talents! If you don’t meet 100% of the qualifications outlined above, we encourage and welcome you to still apply! Benefits and Perks - 25 days of paid vacation – take the time you need to rest and recharge - Private medical insurance – comprehensive coverage for you and your family - FitPass – flexible access to gyms, wellness classes, and sports facilities across Serbia - Hybrid work schedule – in-person collaboration Tuesday–Thursday, with company-paid lunch on office days - Growth Investment Program – funding and resources to support your personal and professional development - Tech setup – we’ll provide a company laptop and the essentials to help you get up and running smoothly Things to Know Foursquare is proud to foster an inclusive environment, free from discrimination. We believe that building the best products starts with bringing together diverse perspectives and backgrounds — it’s how we create better experiences for both our users and our team. We value every voice, and we encourage you to be part of building a company and products we love. Foursquare is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law. Foursquare Privacy Policy https://location.foursquare.com/legal/privacy-center/applicant/", "summaryDescription" : "Support and Data Operations Associate (Fixed-term) at Foursquare. Skills: Data science, Data engineering, Machine learning, Business intelligence", "createdAt" : "2026-06-16T00:29:26.610", "lastUpdated" : "2026-06-16T08:56:17.647", "ingestTimestamp" : "2026-06-16T00:29:26.610", "mongoId" : "6a3055f1f292fd229cf23389", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Statistical methods", "ML frameworks", "BI platforms", "Cloud data stacks", "Modelling skills", "Regression", "Classification", "Clustering", "Time-series analysis", "A/B testing", "Causal inference", "Data science", "Data engineering", "Machine learning", "Business intelligence", "Data analytics", "Quantitative analysis", "Data modelling", "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified", "SQL", "Python", "R", "Scala", "Spark", "Dbt", "Tableau", "Power BI", "Looker", "Metabase", "Superset", "Qlik", "MicroStrategy", "Snowflake", "BigQuery", "Redshift", "Databricks", "Fivetran", "Airflow", "Dbt Cloud", "Delta Lake", "Scikit-learn", "TensorFlow", "PyTorch", "XGBoost", "LightGBM", "Hugging Face", "MLflow", "AWS", "GCP", "Azure", "S3", "Glue", "SageMaker", "Athena", "Vertex AI", "Synapse", "ML Studio" ], "skillCount" : 60, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Junior", "dataQualityScore" : 0.7777778, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a0f4f6858b93c861e04fe65", "title" : "Data Quality Analyst", "company" : "Reface", "industry" : "Technology", "salary" : { "min" : 600000.0, "max" : 900000.0, "currency" : "UAH", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Data Quality Analyst in Ukraine, adjusted for the technology industry and a mid-sized company." }, "location" : "Україна", "locations" : [ "Україна" ], "timestamp" : "2026-06-16T05:41:40.242", "fingerprint" : "6ef13df8496a2e88627a774fcd97f05f1903bd9b0bb1db613264893108924483", "source" : "breezyhr", "language" : "uk", "applyUrl" : "https://reface.breezy.hr/p/77934c7943f6-data-quality-analyst", "externalId" : "77934c7943f6", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Ukraine", "continent" : "eu", "workMode" : "onsite" } ], "locationText" : "Ukraine", "coreResponsibilities" : "Make data foundation stronger, Make data foundation more reliable", "remoteFriendly" : true, "rawDescription" : "Шукаємо в Reface людину, яка буде робити наш data-фундамент міцнішим і надійнішим Reface — українська продуктова компанія, що створює мобільні АІ-застосунки. За 5 років наші продукти завантажили понад 250М разів. Були № 1 в USA App Store, отримали Google Play’s Best App та залучили інвестиції від A", "summaryDescription" : "Data Quality Analyst at Reface. Make data foundation stronger. Make data foundation more reliable", "createdAt" : "2026-06-14T18:37:53.793", "lastUpdated" : "2026-06-16T05:41:40.242", "ingestTimestamp" : "2026-06-14T18:37:53.793", "mongoId" : "6a0f4f6858b93c861e04fe65", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Mid", "dataQualityScore" : 0.5555556, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c767e74d8ee00a093a1f6", "title" : "Senior Healthcare Data Analyst - Analytics", "company" : "Qualified Health", "industry" : "Data Engineering", "salary" : { "min" : 120000.0, "max" : 160000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "United States - Remote", "locations" : [ "United States - Remote" ], "certifications" : [ "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified" ], "timestamp" : "2026-06-16T03:02:16.190", "fingerprint" : "0abbb1d84b4df4cafa9b4f6b273dff83c581cf58d173d5815ae2e74fa7bf83d4", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/qualified-health-pbc/46ccd928-2aaf-4b74-bab3-02b4698e46dc/application", "externalId" : "46ccd928-2aaf-4b74-bab3-02b4698e46dc", "industryFunction" : { }, "structuredLocations" : [ { "country" : "United States", "continent" : "na", "workMode" : "remote" } ], "locationText" : "United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "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, GCP, Azure, SageMaker, Vertex AI, Synapse, ML Studio, Tableau, Power BI, Looker", "professionalSkills" : [ "Data modeling", "Statistical analysis", "Machine learning", "Business intelligence", "Analytics engineering", "Quantitative analysis" ], "hardSkillsList" : [ "Data analysis", "Data engineering", "Machine learning", "Statistical modeling", "A/B testing", "Causal inference", "Data warehousing", "ETL processes", "Data visualization" ], "hardSkills" : [ { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Data engineering", "level" : "intermediate" }, { "name" : "Machine learning", "level" : "intermediate" }, { "name" : "Statistical modeling", "level" : "intermediate" }, { "name" : "A/B testing", "level" : "intermediate" }, { "name" : "Causal inference", "level" : "intermediate" }, { "name" : "Data warehousing", "level" : "intermediate" }, { "name" : "ETL processes", "level" : "intermediate" }, { "name" : "Data visualization", "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 models, Build and maintain data pipelines, Design and deploy machine learning models, Create and manage BI dashboards, Perform complex data analysis, Collaborate with stakeholders to define data requirements, Ensure data quality and integrity, Optimize data infrastructure for performance and scalability, Stay updated on emerging data technologies", "teamCollaboration" : "Cross-functional teams; Product managers; Engineering teams; Business stakeholders", "domainKnowledge" : "Healthcare data; Clinical data; Healthcare analytics", "domainList" : [ "healthcare-data", "clinical-data", "healthcare-analytics" ], "domainSpecificKnowledge" : [ "Healthcare data", "Clinical data", "Healthcare analytics" ], "toolProficiency" : [ "Snowflake", "BigQuery", "Redshift", "Databricks", "Dbt", "Airflow", "Tableau", "Power BI", "Looker", "Scikit-learn", "TensorFlow", "PyTorch", "AWS", "GCP", "Azure" ], "communicationSkills" : "Present findings; Explain complex concepts", "documentationSkills" : "Technical documentation; Data dictionaries", "problemSolvingSkills" : "Analytical problem solving; Root cause analysis", "qualificationsBasic" : "5+ years of experience in data analytics, Proficiency in SQL, Bachelor's degree in a quantitative field", "qualificationsPreferred" : "Master's degree or PhD preferred, Experience with cloud platforms (AWS, GCP, Azure), Experience with ML frameworks (scikit-learn, TensorFlow, PyTorch), GCP Professional Data Engineer certification, AWS Data Analytics certification, Databricks Certified, Dbt Certified", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "Transform healthcare with us. At Qualified Health, we’re redefining what’s possible with Generative AI in healthcare. Our infrastructure provides the guardrails for safe AI governance, healthcare-specific agent creation, and real-time algorithm monitoring—working alongside leading health systems to drive real change. This is more than just a job. It’s an opportunity to build the future of AI in healthcare, solve complex challenges, and make a lasting impact on patient care. If you’re ambitious, innovative, and ready to move fast, we’d love to have you on board. Join us in shaping the future of healthcare. JOB SUMMARY: Qualified Health is seeking a Senior Healthcare Data Analyst to help our customers and internal teams understand, measure, and communicate the impact of our AI-powered solutions. This role sits at the intersection of healthcare analytics, clinical informatics, and data strategy, serving as the critical link between clinical workflows, source data systems, and the insights that demonstrate value to our health system partners. You will work directly with clinical, technical, and operational stakeholders to translate healthcare data into meaningful measures of clinical, financial, and operational impact. A deep understanding of Epic and healthcare data structures is essential, as much of the evidence demonstrating Qualified Health's success originates from EHR systems and clinical source data. This is a highly visible role with the opportunity to influence product strategy, support customer success, contribute to new product development initiatives, and present insights that are consumed across the organization and by executive stakeholders at leading health systems. KEY RESPONSIBILITIES: Analytics & Value Measurement - Develop reporting frameworks that quantify the clinical, operational, and financial impact of Qualified Health's products. - Build executive-level dashboards, analyses, and value reports that demonstrate ROI and customer outcomes. - Connect clinical data, utilization metrics, workflow performance, and operational KPIs to generate actionable insights. - Identify trends and opportunities that help customers understand the value generated through AI-driven interventions. Clinical Data & Epic Expertise - Translate complex clinical concepts and workflows into structured data models and reporting frameworks. - Leverage deep knowledge of Epic data structures to ensure accurate interpretation of source data and outcome measures. - Partner with customer clinical informatics and analytics teams to understand source systems, validate assumptions, and ensure reporting accuracy. - Reconcile data definitions across organizations and establish standardized approaches for outcome measurement. Data Analysis & Query Development - Develop complex SQL queries to extract, transform, and analyze healthcare data across multiple sources. - Design analytical methodologies that connect patient-level clinical activity to measurable business outcomes. - Navigate large, complex healthcare datasets to uncover insights and answer strategic business questions. - Partner with data engineering teams to ensure data pipelines support reporting and analytics needs. Data Quality & Governance - Establish quality assurance frameworks and validation processes to ensure reporting accuracy. - Develop and maintain data dictionaries, metric definitions, and reporting standards. - Monitor data quality and proactively identify issues that may impact analyses or customer reporting. REQUIRED QUALIFICATIONS: - 5+ years of experience in healthcare data analysis with demonstrated expertise in clinical data mapping and EHR data structures - Deep clinical domain knowledge including understanding of clinical workflows, medical terminology, and healthcare delivery processes - Advanced SQL proficiency with experience writing complex queries against healthcare databases and EHR systems - EHR Systems Expertise: Hands-on experience with Epic EHR platform is required. Exposure to other EHR platforms (Cerner, AllScripts, or NextGen) is helpful. - Healthcare Data Standards: Working knowledge of FHIR, HL7, ICD-10, CPT, SNOMED, and other clinical coding systems - Data Quality Experience: Proven track record developing and implementing data validation frameworks and quality assurance processes - Client-facing Skills: Strong ability to work directly with health system stakeholders, translate technical concepts for clinical audiences, and manage complex data reconciliation projects - Problem-solving Capabilities: Demonstrated ability to troubleshoot complex data mapping issues and develop creative solutions for non-standard data formats - Communication Skills: Excellent written and verbal communication with ability to document complex mappings and present findings to varied technical and clinical audiences - Bachelor's degree in Health Informatics, Healthcare Administration, Data Science, or related field DESIRABLE SKILLS: - Clinical Background: Clinical training, HIM certification, or formal healthcare informatics education - FHIR Implementation Experience: Hands-on experience with FHIR mapping and transformation projects - Epic Certification: Cogito, Caboodle, Clarity, or Chronicles training and certification - Regulatory Knowledge: Understanding of HIPAA, HITECH, and healthcare data governance requirements - Analytics Tools: Proficiency in Python, R, Tableau, or similar analytical platforms - Project Management: Experience leading cross-functional data mapping initiatives - Master's degree in relevant field - Professional certifications in health informatics (RHIA, CHPS, or similar) TECHNICAL ENVIRONMENT: You'll work with healthcare data from diverse sources including: - Epic (Clarity, Chronicles, FHIR APIs) - Cerner, AllScripts, and other major EHR platforms - Claims data (CMS, commercial payers) - Clinical registries and specialty systems - FHIR R4 and legacy HL7 formats IMPACT & GROWTH OPPORTUNITY: As a Senior Healthcare Data Analyst at Qualified Health, you'll directly influence how our AI platform interprets and leverages clinical data from major health systems. Your expertise in clinical data mapping will be fundamental to ensuring our platform delivers accurate, meaningful insights that improve patient care. This role offers significant growth potential as we expand across diverse healthcare organizations and clinical use cases. Why Join Qualified Health? This is an opportunity to join a fast-growing company and a world-class team, that is poised to change the healthcare industry. We are a passionate, mission-driven team that is building a category-defining product. We are backed by premier investors and are looking for founding team members who are excited to do the best work of their careers. Our employees are integral to achieving our goals so we are proud to offer competitive salaries with equity packages, robust medical/dental/vision insurance, flexible working hours, hybrid work options and an inclusive environment that fosters creativity and innovation. Our Commitment to Diversity Qualified Health is an equal opportunity employer. We believe that a diverse and inclusive workplace is essential to our success, and we are committed to building a team that reflects the world we live in. We encourage applications from all qualified individuals, regardless of race, color, religion, gender, sexual orientation, gender identity or expression, age, national origin, marital status, disability, or veteran status. Pay & Benefits: The pay range for this role is between $120,000 and $160,000, and will depend on your skills, qualifications, experience, and location. This role is also eligible for equity and benefits. Join our mission to revolutionize healthcare with AI. To apply, please send your resume through the application below.", "summaryDescription" : "Senior Healthcare Data Analyst - Analytics at Qualified Health. Skills: Data Science, Data Engineering, Machine Learning, Business Intelligence. Develop and implement data models. Build and maintain data pipelines", "createdAt" : "2026-06-14T20:16:55.506", "lastUpdated" : "2026-06-16T03:02:16.190", "ingestTimestamp" : "2026-06-14T20:16:55.506", "mongoId" : "6a2c767e74d8ee00a093a1f6", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 120000, "salaryAnnualMax" : 160000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Data analysis", "Data engineering", "Machine learning", "Statistical modeling", "A/B testing", "Causal inference", "Data warehousing", "ETL processes", "Data visualization", "Data Science", "Data Engineering", "Machine Learning", "Business Intelligence", "Data modeling", "Statistical analysis", "Business intelligence", "Analytics engineering", "Quantitative analysis", "Healthcare data", "Clinical data", "Healthcare analytics", "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified", "Snowflake", "BigQuery", "Redshift", "Databricks", "Dbt", "Airflow", "Tableau", "Power BI", "Looker", "Scikit-learn", "TensorFlow", "PyTorch", "AWS", "GCP", "Azure" ], "skillCount" : 40, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.98 }, { "id" : "6a305a87f292fd229cf52328", "title" : "Data Analyst", "company" : "Scopely", "industry" : "Media", "salary" : { "min" : 950000.0, "max" : 1550000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Junior Data Analyst in Bangalore, India, with mid-level experience in the gaming industry, adjusted for company size and onsite work mode." }, "location" : "Bangalore", "locations" : [ "Bangalore" ], "timestamp" : "2026-06-16T09:04:04.324", "fingerprint" : "acd99eed97a7e82aa2450ab159df05e3544833595bc70fc68360274008434d6d", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/scopely/jobs/5226372008?gh_jid=5226372008", "externalId" : "5226372008", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Bangalore", "country" : "India", "continent" : "as", "source" : "llm", "workMode" : "hybrid", "geo" : "12.9767936,77.5900820" } ], "locationText" : "Bangalore, India", "minimumEducation" : "Bachelor's", "experienceMinYears" : 2, "experienceMaxYears" : 5, "experienceLevel" : "Mid", "technicalSkills" : "SQL, Python, Tableau, Looker, R, SAS, SPSS, Matlab", "professionalSkills" : [ "Performance marketing analysis", "Forecasting" ], "hardSkillsList" : [ "Quantitative analysis", "Statistical analysis", "Financial analysis", "Complex queries", "A/B testing" ], "hardSkills" : [ { "name" : "Quantitative analysis", "level" : "intermediate" }, { "name" : "Statistical analysis", "level" : "intermediate" }, { "name" : "Financial analysis", "level" : "intermediate" }, { "name" : "Complex queries", "level" : "intermediate" }, { "name" : "A/B testing", "level" : "intermediate" } ], "coreResponsibilities" : "Deliver actionable insights, Increase user acquisition, Increase engagement, Increase monetization, Provide reports, Design analytics events, Implement analytics events, Design queries, Implement queries, Evaluate game features, Improve game features, Perform analyses, Identify trends, Analyze trends, Interpret trends, Analyze issues, Interpret issues, Analyze opportunities, Interpret opportunities, Perform competitor analysis, Answer business questions, Generate business reports, Perform exploratory data analysis, Generate ad-hoc reports, Design statistical testing, Implement statistical testing", "teamCollaboration" : "Work collaboratively with game teams", "domainKnowledge" : "Mobile gaming", "domainList" : [ "mobile-gaming" ], "domainSpecificKnowledge" : [ "Mobile gaming" ], "toolProficiency" : [ "Tableau", "Looker" ], "communicationSkills" : "Presentation skills", "problemSolvingSkills" : "Analytical skills; Problem-solving skills", "qualificationsBasic" : "B. TechS in Computer Science, B. TechS in Statistics, B. TechS in Math, B. TechS in Physics, 2+ years overall experience, 2+ years SQL/Python experience, 2+ years reporting system experience", "qualificationsPreferred" : "Advanced degrees, 2+ years mobile gaming domain, Statistical background, Onboarding analysis experience, Early funnel analysis experience", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "Scopely is looking for a Data Analyst to join Bingo Bash team in Bangalore on a hybrid basis! At Scopely, we care deeply about what we do and want to inspire play, every day - whether in our work environments alongside our talented colleagues, or through our deep connections with our communities of players. We are a global team of game lovers who are developing, publishing and innovating the mobile games industry, connecting millions of people around the world daily. Bingo Bash is a highly international team working on the biggest video game from India to date (measured by revenue). Here you will work on a top-grossing F2P game with significant and growing daily revenues, and help create fresh content for our players.. What You’ll Do Work collaboratively with game teams to deliver actionable insights into our games to further increase user acquisition, engagement and monetization using statistical techniques & provide reports Design and implement new analytics events and queries for new game features, game events and player offers, to make sure the team gets the information they need to evaluate and improve the game Proactively perform a wide range of analyses to identify/analyze/interpret trends, issues, and opportunities across games and perform competitor analysis Answer business-related questions & generate business reports through exploratory data analyses and ad-hoc reporting Design and implement advanced statistical testing for specific problem-solving needs(e. g. A/B testing) What We’re Looking For B.Tech/BS in Computer Science, Statistics, Math, Physics or other quantitative disciplines 2+ years of overall experience in a data analyst, financial analyst, scientist or similar role performing quantitative, statistical or financial analysis 2+ years’ experience using SQL/Python, including complex queries from multiple data sources 2+ years’ experience creating reports using Tableau/Looker or a similar reporting system Experience creating, operating and analyzing multiple simultaneous A/B tests Excellent analytical and problem-solving skills, including forecasting and performance marketing analysis Strong communication and presentation skills, including extensive use of chart and table tools Passion for speed and large data sets Bonus Points Demonstrates openness to using AI-enabled tools to improve analytical workflows, accelerate insight generation, and support high-quality data-driven decision-making. Advanced degrees a plus 2+ years within the mobile gaming domain Strong statistical background Experience with R, SAS, SPSS, Matlab or other statistical modeling packages Had experience of onboarding/early funnel analysis At Scopely, we create games for everyone - and want to ensure that the people behind our games reflect that! We are committed to creating a diverse, supportive work environment where everyone is treated with respect. We are committed to providing equal employmentopportunities and welcome individuals from all backgrounds to join us & embrace the Adventure! About Scopely Scopely is a leading video game and global interactive entertainment company, home to many of the world’s most beloved and enduring experiences, including two of the most successful mobile games of all-time “MONOPOLY GO!” and “Pokémon GO,” along with “Stumble Guys,” “Star Trek™ Fleet Command,” “MARVEL Strike Force,” “WWE Champions,” the Scrabble® franchise, “Yahtzee® With Buddies,” and many others. Across mobile, web, PC, and console, Scopely creates, develops, publishes, and live-operates one of the most diversified and award-winning portfolios in the games industry — bringing hundreds of millions of players together through a shared love of play. Founded in 2011, Scopely is powered by its exceptional team — including thousands of world-class gamemakers around the globe, a distinctive tenet-driven culture, and its proprietary technology platform, Playgami. Together, these strengths have fueled Scopely’s position as the #1 mobile games company in the U. S. and #2 globally, generating more than $10 billion in lifetime revenue. Whether building global sensations like “MONOPOLY GO!” from the ground up, or expanding through strategic acquisitions, including the FoxNext, GSN, and Niantic games businesses — Scopely consistently delivers experiences players love today and return to for years to come. Recognized multiple times as one of the \"100 Most Influential Companies in the World\" by TIME magazine and one of Fast Company's \"World's Most Innovative Companies\" and “Best Workplaces for Innovators,” Scopely believes that video games can be a force for good — creating meaningful connections, vibrant communities, and making life better through play. Scopely has global operations and partners across four continents in more than a dozen countries worldwide. For more information, visit: https://www.scopely.com/. Notice to Candidates: Scopely will never request payment or financial information during the application or hiring process. Please apply only through our official website and verify that all Talent Partner communications come from an email address ending in @scopely.com. Should you have any questions or encounter any fraudulent requests/emails/websites, please immediately contact recruiting@scopely.com. Our job applicant privacy policies are available here: California Privacy Notice and EEA/UK Privacy Notice. Employment at Scopely is based solely on a person's merit and qualifications. Scopely does not discriminate against any employee or applicant because of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), or any other basis protected by law. We also consider qualified applicants with arrest or conviction records, consistent with applicable federal, state and local law.", "summaryDescription" : "Data Analyst at Scopely. Deliver actionable insights. Increase user acquisition", "postedDate" : "2026-06-15T23:24:38.409", "createdAt" : "2026-06-15T23:24:38.409", "lastUpdated" : "2026-06-16T09:04:04.324", "ingestTimestamp" : "2026-06-15T23:24:38.409", "mongoId" : "6a305a87f292fd229cf52328", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Quantitative analysis", "Statistical analysis", "Financial analysis", "Complex queries", "A/B testing", "Performance marketing analysis", "Forecasting", "Mobile gaming", "Tableau", "Looker" ], "skillCount" : 10, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Junior", "dataQualityScore" : 0.8888889, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Gaming", "llmIndustryConfidence" : 0.98 }, { "id" : "6a306647f292fd229cfafc8d", "title" : "Lead Product Manager, Data and AI", "company" : "Lyra Health", "industry" : "Product", "salary" : { "min" : 161000.0, "max" : 221500.0, "currency" : "USD", "frequency" : "yearly" }, "location" : "United States", "locations" : [ "United States" ], "timestamp" : "2026-06-16T11:46:32.032", "fingerprint" : "7be737cc8ee8a6035793f5d2e69d5f06381cd02b4aff658c15d77ee3e54d1515", "source" : "lever", "language" : "en", "applyUrl" : "https://jobs.lever.co/lyrahealth/e3d731e8-eea0-4ae4-bd9a-5624b91ca129/apply", "externalId" : "e3d731e8-eea0-4ae4-bd9a-5624b91ca129", "industryFunction" : { }, "structuredLocations" : [ { "country" : "United States", "continent" : "na", "workMode" : "remote" } ], "locationText" : "United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 8, "experienceMaxYears" : 15, "experienceLevel" : "Lead", "coreResponsibilities" : "Develop product strategy, Define product roadmap, Write user stories, Collaborate with cross-functional teams", "teamCollaboration" : "Cross-functional teams", "remoteFriendly" : true, "rawDescription" : "## Description About Lyra Health Lyra Health is a leading provider of evidence-based mental health care, serving more than 20 million people globally in partnership with employers and more than 100 million through health plan and partner relationships. The company has delivered more than 15 million sessions of mental health care, published more than 35 peer-reviewed studies, and delivered unmatched outcomes in terms of access, clinical effectiveness, and cost efficiency. Extensive peer-reviewed research confirms Lyra’s transformative care model helps people recover twice as fast and results in a 26% annual reduction in overall healthcare claims costs. Lyra is transforming access to life-changing mental health care through Lyra Empower, the only fully integrated, AI-powered platform combining the highest-quality care and technology solutions. ## Responsibilities Product Vision & Strategy: Define and champion a compelling multi-year product vision and roadmap for data and AI platforms, aligning technical milestones with Lyra's business growth, revenue objectives, and clinical goals. GenAI & Modern Lifecycle Management: Drive high-impact opportunities leveraging generative AI, Large Language Models (LLMs), agentic AI, and advanced analytics, managing the entire lifecycle from ideation and rapid experimentation to scalable production deployment. Cross-Functional Leadership: Collaborate extensively across complex matrixed stakeholder groups—including Product, Design, Engineering, Clinical Quality, and GTM teams—to embed smart AI capabilities directly into core member experiences and operations. Responsible AI & Governance: Partner closely with Legal, Privacy, and Clinical leadership to maintain rigorous responsible AI practices Impact Metrics & Optimization: Design robust measurement and experimentation frameworks (such as online controlled A/B testing) to track model effectiveness, quantify business outcomes, and evaluate trade-offs between tactical execution and long-term research. Technical Team Collaboration: Translate unstructured business pain points into crisp, detailed product requirements, acting as a translator between highly technical data disciplines and non-technical business leaders. Mentorship & Culture: Lead by example, mentoring junior team members, sharing technical product management best practices, and actively fostering a highly rigorous, data-driven culture across the product organization. ## Qualifications Education: Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, Mathematics, Statistics, or a related highly quantitative field. Product Experience: 8+ years (Lead PM) of progressive product management experience within successful enterprise SaaS, cloud-based software, or health tech organizations, with a proven history of launching large-scale products with complex dependencies. Data & AI Expertise: 3+ years of direct experience shipping machine learning and data-driven products at scale. Deep understanding of modern machine learning algorithms, deep learning techniques, generative AI use cases, and the infrastructure needed to deploy LLMs contextually. Communication Skills: Exceptional written and verbal communication, narrative storytelling, and presentation skills; masterful ability to communicate complex algorithmic systems and technical trade-offs to non-technical executive teams and demanding corporate customer audiences. Strategic Execution: Proven capacity to methodically unpack ambiguity, handle competing objectives, establish clear product boundaries, and maintain a calm, execution-oriented mindset in a fast-paced, high-velocity environment. Healthcare Alignment (Nice-to-Have): Prior experience navigating a highly regulated industry (Healthcare Tech, FinTech) with an innate respect for data ethics, privacy constraints, and patient clinical quality. ## Additional Information \"We are an Equal Opportunity Employer. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, age, disability, genetic information or any other category protected by law. By applying for this position, you acknowledge that your personal information will be processed as per the Lyra Health Workforce Privacy Notice. Through this application, to the extent permitted by law, we will collect personal information from you including, but not limited to, your name, email address, gender identity, employment information, and phone number for the purposes of recruiting and assessing suitability, aptitude, skills, qualifications, and interests for employment with Lyra. We may also collect information about your race, ethnicity, and sexual orientation, which is considered sensitive personal information under the California Privacy Rights Act (CPRA) and special category data under the UK and EU GDPR. Providing this information is optional and completely voluntary, and if you provide it you consent to Lyra processing it for the purposes as described at the point of collection, for example for diversity and inclusion initiatives. If you are a California resident and would like to limit how we use this information, please use the Limit the Use of My Sensitive Personal Information form. This information will only be retained for as long as needed to fulfill the purposes for which it was collected, as described above. Please note that Lyra does not “sell” or “share” personal information as defined by the CPRA. Outside of the United States, for example in the EU, Switzerland and the UK, you may have the right to request access to, or a copy of, your personal information, including in a portable format; request that we delete your information from our systems; object to or restrict processing of your information; or correct inaccurate or outdated personal information in our systems. These rights may be subject to legal limitations. To exercise your data privacy rights outside of the United States, please contact globaldpo@lyrahealth.com. For more information about how we use and retain your information, please see our Workforce Privacy Notice.\"", "summaryDescription" : "Lead Product Manager, Data and AI at Lyra Health. Develop product strategy. Define product roadmap", "postedDate" : "2026-06-15T02:55:35.385", "createdAt" : "2026-06-15T02:55:35.385", "lastUpdated" : "2026-06-16T11:46:32.032", "ingestTimestamp" : "2026-06-16T03:24:16.833", "mongoId" : "6a306647f292fd229cfafc8d", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 161000, "salaryAnnualMax" : 221500, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "product", "jobSubcategory" : "product_management", "seniorityLevel" : "Lead", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.98 }, { "id" : "68c2e425f8b1b0376634c626", "title" : "Team Manager, AGI Data Services, AGI Data Services - G T Quality", "company" : "Evi Technologies Limited", "industry" : "Editorial, Writing, Content Management, Machine Learning Data Operatio, customer service", "salary" : { "min" : 75000.0, "max" : 110000.0, "currency" : "GBP", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Manager in the Technology industry in Cambridge, United Kingdom, adjusted for seniority and company size." }, "location" : "Cambridge, England, GBR", "locations" : [ "Cambridge, England, GBR" ], "timestamp" : "2026-06-15T02:11:10.967", "fingerprint" : "87024d2c2240315944dfb2b67de8506f851ef2e494ceef8fc1496085c03db6fa", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3077503/apply", "externalId" : "cc9977e0-b2c7-4fb4-8a1f-5b03f9b3fe62", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Cambridge", "state" : "England", "country" : "United Kingdom", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "52.1975846,0.1391537" } ], "locationText" : "Cambridge, England, United Kingdom", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceLevel" : "Manager", "technicalSkills" : "Machine learning", "professionalSkills" : [ "Data quality", "Quality control", "Process improvement", "Performance metrics", "Stakeholder management" ], "hardSkillsList" : [ "Data collection", "Data labelling", "Quality auditing", "Performance analysis", "Process management" ], "softSkillsList" : [ "Leadership" ], "hardSkills" : [ { "name" : "Data collection", "level" : "intermediate" }, { "name" : "Data labelling", "level" : "intermediate" }, { "name" : "Quality auditing", "level" : "intermediate" }, { "name" : "Performance analysis", "level" : "intermediate" }, { "name" : "Process management", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" } ], "majorSkills" : "Data quality, Process improvement, Team management", "majorSkillsList" : [ "Data quality", "Process improvement", "Team management" ], "coreResponsibilities" : "Manage job assignment, Monitor performance on job or queue adherence, Monitor volume, Monitor quality, Support hiring of new Associates, Support training of new Associates, Ensure productivity is maximized, Develop the work schedule, Balance work across various workflows, Navigate competing delivery priorities, Liaise with Program Management, Liaise with global operations team leads, Manage risks, Propose mitigation strategies, Track quality metrics, Track utilization metrics, File tickets, Track tickets, Follow up on blocks to productivity, Provide regular feedback to direct reports, Provide formal feedback to direct reports, Provide informal feedback to direct reports, Identify process-related improvement, Implement process-related improvement", "teamCollaboration" : "Cross-functional teams; Global operations teams", "projectManagementSkills" : [ "Project management", "Program management" ], "domainKnowledge" : "Speech and language technology", "domainList" : [ "speech-and-language-technology" ], "domainSpecificKnowledge" : [ "Speech and language technology" ], "problemSolvingSkills" : "Root cause analysis", "qualificationsBasic" : "Bachelor Degree or equivalent professional or military experience, Experience working with performance metrics, Experience managing a team or a group of people", "qualificationsPreferred" : "Experience with process improvement/quality control tools and methods, Demonstrated ability to lead diverse talent, Interest in hiring and developing people, Leadership experience in coaching and performance management, Experience in managing process and operational escalations, Experience with aspects of speech and language technology, Experience in project and stakeholder management", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Team overview Interested in improving the technology and features powering Alexa? Come work with us! We are building the speech and language solutions behind Amazon Echo and other Alexa-enabled products and services. AGI Data Services' (AGI-DS) mission is to provide high-quality data collection and labelled data for machine learning (ML) technologies. Our team is focused on ensuring the quality of data we provide meets our high quality bar. Job Mission We are seeking an experienced Quality Audit Manager to join our operations to develop, manage, and support our AGI-DS team with auditing and improving data quality. Key job responsibilities As Team Manager, you will be responsible for : • Manage job assignment on a day-to-day basis, monitoring performance on job or queue adherence, volume, and quality • Support hiring and training of new Associates • Ensure productivity is maximized through supervision, training, analysis, and feedback of performance data on a periodic basis • Develop the work schedule for the week by balancing work across various workflows and/or navigating competing delivery priorities • Liaise with Program Management and other global operations team leads to manage risks & propose mitigation strategies • Track quality and utilization metrics • File and track tickets, following up on blocks to productivity • Provide regular, formal & informal feedback to direct reports • Identify and help implement process-related improvement using methodologies such as Kaizen, six sigma, or lean About the team In this position, you will support associates and project coordinators with their day-to-day work initiatives, activities and deliverables. You will participate in internal and external meetings, improve processes, and build mechanisms. Basic Qualifications: - Bachelor Degree or equivalent professional or military experience - Experience working with performance metrics and developing them to measure progress against key performance indicators - Experience managing a team or a group of people while supporting projects/programs. Preferred Qualifications: • Experience with process improvement/quality control tools and methods • Demonstrated ability to lead diverse talent within a team, work cross-functionally, and build consensus on difficult issues • Excellent communication, strong organizational skills and very detail-oriented • Strong interest in hiring and developing people in their respective roles • Leadership experience in coaching and performance management • Experience in managing process and operational escalations • Experience with aspects of speech and language technology • Experience in project and stakeholder management Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice ( https://www.amazon.jobs/en/privacy_page ) to know more about how we collect, use and transfer the personal data of our candidates. 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.", "summaryDescription" : "Team Manager, AGI Data Services, AGI Data Services - G T Quality at Evi Technologies Limited. Skills: Data quality, Process improvement, Team management. Manage job assignment. Monitor performance on job or queue adherence", "postedDate" : "2026-06-13T16:41:10.684", "createdAt" : "2026-06-13T16:41:10.684", "lastUpdated" : "2026-06-15T02:11:10.967", "ingestTimestamp" : "2026-06-13T16:41:10.684", "mongoId" : "68c2e425f8b1b0376634c626", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3077503/apply", "salaryBand" : "75k-100k", "hasSalary" : false, "allSkills" : [ "Data collection", "Data labelling", "Quality auditing", "Performance analysis", "Process management", "Leadership", "Data quality", "Process improvement", "Team management", "Quality control", "Performance metrics", "Stakeholder management", "Project management", "Program management", "Speech and language technology" ], "skillCount" : 15, "jobCategory" : "engineering", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "6a305930f292fd229cf45a35", "title" : "Data Scientist", "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" : "2026-06-16T14:26:55.252", "fingerprint" : "6a02c7dbcaae827569f16c7f24b4f0840a6fb8d93e8d3a7a45b1e1ddcf64879c", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/Jerry.ai/432baeb4-065e-4e02-9279-7c984b0ecb2d/application", "externalId" : "432baeb4-065e-4e02-9279-7c984b0ecb2d", "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", "technicalSkills" : "SQL, Python, Jupyter Hub, GitHub", "professionalSkills" : [ "First principles thinker", "Analytical problem solving" ], "hardSkillsList" : [ "Data interpretation", "Data structuring", "Data analysis" ], "softSkillsList" : [ "Direct communicator", "Owner" ], "hardSkills" : [ { "name" : "Data interpretation", "level" : "intermediate" }, { "name" : "Data structuring", "level" : "intermediate" }, { "name" : "Data analysis", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Direct communicator" }, { "name" : "Owner" } ], "majorSkills" : "Data Science, Analytics", "majorSkillsList" : [ "Data Science", "Analytics" ], "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, Bring recommendations to counterparts, Tell them what is happening, Tell them why, Tell them what next steps should be", "teamCollaboration" : "Embedded in business areas; Work with product; Work with growth; Work with finance; Work with operations", "domainKnowledge" : "Car ownership; Home ownership; Insurance; Driving insights; Repair marketplace", "domainList" : [ "car-ownership", "home-ownership", "insurance", "driving-insights", "repair-marketplace" ], "domainSpecificKnowledge" : [ "Car ownership", "Home ownership", "Insurance", "Driving insights", "Repair marketplace" ], "toolProficiency" : [ "Clickhouse", "Metabase", "Jupyter Hub", "GitHub" ], "communicationSkills" : "Direct communicator; Persuasive communicator; Write clearly; Speak precisely", "problemSolvingSkills" : "First principles thinker; Break ambiguous problems into clear hypotheses", "outcomesObjectives" : "Move team's key metrics; Drive impact in growth marketing; Drive impact in product development; Drive impact in AI and automation; Drive impact in strategic partnerships; Go from 5M to 50M customers; Become a $10B business", "qualificationsBasic" : "2+ years of experience, 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", "qualificationsPreferred" : "PhD preferred, Specific ML framework experience, Cloud platform certs", "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 Data Science & 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 Data Science 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 Data Science 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 Data Science & 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 Data Science & 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 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" : "Data Scientist at Jerry.ai. Skills: Data Science, Analytics. Define the right 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 Data Science & 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 Data Science 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 Data Science 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 Data Science & 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 Data Science & 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 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" : "Data Scientist at Jerry.ai. 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You’ll work hands‑on across our cloud data stack, partnering with engineers and analysts to deliver reliable, well‑modelled data that supports analytics and downstream use cases. This role is focused on practical delivery; designing, building, and improving data pipelines, while developing depth across modern data engineering practices. Essential Skills - 2–5 years’ commercial experience in a data engineering or data‑focused software engineering role. - Experience working with production data, including considerations around data quality, reliability, and failure handling. - Strong problem‑solving skills and an ability to work effectively with incomplete or evolving requirements. - Clear communication skills and experience collaborating within cross‑functional teams. Commercial experience including a combination of the following: - Python for data processing, transformation, and pipeline development - AWS data services such as S3, Lambda, Glue (or comparable cloud services) - Designing, building, and maintaining ETL / ELT pipelines in production environments - Strong SQL skills, including complex queries and performance tuning - Working with a cloud data warehouse such as Snowflake (or similar), covering data models, pipelines, and warehouse objects - Handling semi‑structured data (e.g. JSON, Parquet) alongside structured datasets Desirable Skills - Experience with data orchestration or scheduling tools. - Exposure to CI/CD practices for data pipelines. - Familiarity with analytics or BI use cases and consumers of data. - Awareness of data governance, access control, or security concepts. - Experience working in agile, delivery‑focused teams. Why Join Instil? At Instil, we believe great work starts with happy, motivated people. That’s why we’ve built a benefits package that supports your wellbeing, growth, and life outside of work, because when you thrive, so do we. - Recognition That Matters: A discretionary annual performance bonus that rewards your impact and contribution to our success. - Flexibility Built In: Flexible working arrangements and summer hours, because life isn’t 9 to 5, and balance matters. - Financial Security: A highly competitive pension scheme with generous employer contributions, private healthcare, and life assurance for peace of mind. - Health & Wellbeing: Employee Assistance Programme, mental health support, cycle-to-work scheme, and regular social events to keep our culture vibrant. - Time to Recharge: 35 days holiday, enhanced maternity pay, and family-first policies so you can focus on what matters most. - Learning Never Stops: From courses to certifications, we’ll invest in your development so you can keep growing and shaping what’s next. - Community & Culture: Opportunities to volunteer, give back, and be part of initiatives that make Instil a truly inclusive and connected workplace. And that’s just the start, drop us a note to find out more. Company Description Instil has been delivering world-class software engineering and technology solutions for over 20 years, trusted by global brands to solve complex challenges and drive innovation. From modernising legacy systems to building cutting-edge applications, we help our clients navigate an ever-changing digital landscape with confidence and agility. We’re proud to be an award-winning employer, reflecting how our people are at the heart of everything we do: - Recognised as a Great Place to Work® for three consecutive years, and in 2024 ranked in the Top 20 Best Workplaces in the UK for medium-sized companies. - Winner of Company of the Year at the Digital DNA Awards 2022, celebrating excellence in Northern Ireland’s tech sector. Driven by a love for technology and a commitment to excellence, we bring together people who want to make a difference. We’ll support your journey, because your success is part of ours. #LI-PR1 #InstilCareers", "summaryDescription" : "Data Engineer at Instil. Skills: Data engineering, Data platforms, Data pipelines. Build data platforms. Support data platforms", "createdAt" : "2026-06-16T00:31:40.011", "lastUpdated" : "2026-06-16T10:55:30.465", "ingestTimestamp" : "2026-06-16T00:31:40.011", "mongoId" : "6a3050a6f292fd229cef347e", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "30k-50k", "hasSalary" : false, "allSkills" : [ "Data quality", "Reliability", "Failure handling", "Complex queries", "Data engineering", "Data platforms", "Data pipelines", "Data modeling", "Pipeline development", "Performance tuning", "Data transformation", "Agile", "Data warehousing", "Data governance", "Data security" ], "skillCount" : 15, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Mid", "dataQualityScore" : 0.7777778, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a305099f292fd229cef29d0", "title" : "Data Engineer", "company" : "Neara", "industry" : "Customer Success", "salary" : { "min" : 45000.0, "max" : 65000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Data Engineer in Vilnius, Lithuania, adjusted for the Climate Tech industry." }, "location" : "Vilnius", "locations" : [ "Vilnius" ], "timestamp" : "2026-06-16T08:45:08.129", "fingerprint" : "159370acaf6a63a06ee69f6b7e133c73032db269ebf22a644350ae00192a2484", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/neara/59781d7c-b0f4-491f-bc80-972fc11959e2/application", "externalId" : "59781d7c-b0f4-491f-bc80-972fc11959e2", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Vilnius", "country" : "Lithuania", "continent" : "eu", "source" : "llm", "workMode" : "hybrid", "geo" : "54.6870458,25.2829111" } ], "locationText" : "Vilnius, Lithuania", "employmentType" : "FULL_TIME", "technicalSkills" : "SQL, Python, GIS, LiDAR", "professionalSkills" : [ "Data manipulation", "Configuration management", "Quality assurance", "Reporting", "Dashboarding" ], "hardSkillsList" : [ "Geospatial data", "Asset data", "Physics simulation" ], "hardSkills" : [ { "name" : "Geospatial data", "level" : "intermediate" }, { "name" : "Asset data", "level" : "intermediate" }, { "name" : "Physics simulation", "level" : "intermediate" } ], "majorSkills" : "Data Engineering, Digital twins, Machine learning", "majorSkillsList" : [ "Data Engineering", "Digital twins", "Machine learning" ], "coreResponsibilities" : "Contribute to end-to-end deployment, Ingest and manipulate massive datasets, Configure models using schema language, Ensure engineering grade accuracy, Perform rigorous QA/QC, Build custom reports, Build custom dashboards, Provide feedback on process improvements, Provide feedback on tool improvements", "teamCollaboration" : "Deployment Team; Product; Engineering", "domainKnowledge" : "Electricity grids; Digital twin technology; Power grids; Energy future", "domainList" : [ "electricity-grids", "digital-twin-technology", "power-grids", "energy-future" ], "domainSpecificKnowledge" : [ "Electricity grids", "Digital twin technology", "Power grids", "Energy future" ], "communicationSkills" : "Articulate technical configurations; Technical documentation", "documentationSkills" : "User manuals", "continuousLearning" : "Gain expert-level proficiency; Exposure to cutting edge technology", "innovationCreativity" : "Influence product roadmap; Automate deployment processes", "problemSolvingSkills" : "Break down complex data discrepancies; Systematically reconfigure models", "qualificationsBasic" : "Proven experience as Data Engineer, Proficiency in SQL, Python, or similar, Ability to learn new schema language, Excellent written communication skills, Fluent English", "qualificationsPreferred" : "Background in engineering, mathematics, software engineering, or computer science, Familiarity with GIS, CAD geoprocessing, or LiDAR data", "remoteFriendly" : true, "workSiteFlexibility" : "Flexible", "rawDescription" : "Imagine having the power to stress-test an entire power grid against a hurricane or thunderstorm before the clouds even gather. That is the reality we are creating at Neara. We use advanced machine learning to create engineering-grade, physics enabled digital twins of electricity grids across four continents, this helps asset owners understand their biggest challenges and bring the most viable solutions to life across millions of kilometres of infrastructure. By simulating extreme weather and structural stress at a network-wide scale, we empower the world’s largest utilities to pinpoint risks, optimise investments and build a more resilient global energy future. Our team is a collection of brilliant minds who are fanatical about making a tangible difference in the real world, utilising AI and machine learning to accelerate everything from data classification to complex scenario analysis. We have built a special culture where innovation thrives because everyone owns the mission and we need smart, creative people to help us scale this impact to every corner of the globe. Data Engineer As a Data Engineer, you will transform raw utility and geospatial data into high accuracy digital twin models of electricity networks. You will work with GIS, LiDAR, and asset data sets, configure models using Neara’s schema language, and ensure engineering grade accuracy. You will join the Deployment Team responsible for delivering the Neara platform to utility customers worldwide. What You Will Do: - Contribute to the end-to-end deployment of the Neara platform for utility customers worldwide. - Ingest and manipulate massive datasets (LiDAR, GIS, and asset databases) using Neara’s schema language and configuration framework. - Perform rigorous QA/QC to ensure the digital twin accurately reflects real-world physics and customer specifications. - Build custom reports and dashboards within the platform to drive actionable insights for utility engineers. - Work closely with Product and Engineering to provide feedback on process and tool improvements to speed up future deployments. Who You Are: - Proven experience as a Data Engineer, Implementation Engineer, Integration Engineer, Software Engineer, or similar role. - Proficiency in at least one major language (such as SQL, Python, or similar) and a demonstrated ability to learn a new language. You should be comfortable learning and mastering a new schema language to manipulate data and build reports. - Excellent written communication skills with experience contributing to internal knowledge bases and external user manuals. Ability to articulate technical configurations clearly to diverse audiences in fluent English. - A background in engineering, mathematics, software engineering, computer science, or a related field is preferred. Familiarity with GIS, CAD geoprocessing, or LiDAR data can be beneficial to accelerate the learning curve for this platform. - The ability to break down complex data discrepancies and systematically reconfigure models to ensure 100% accuracy. What We Offer: - We offer a competitive salary and private health insurance, 20 days of holiday plus a \"birthday leave\" day, and a flexible, team-driven environment with the option to work remotely or hybrid from our offices in Vilnius (complete with office snacks). - Your work directly impacts the safety and reliability of global power grids, helping utilities prevent wildfires and prepare for climate-driven weather events. - You’ll gain expert-level proficiency in our engineering-grade 3D modeling environment and exposure to the cutting edge of Digital Twin technology. - We are scaling fast. As a Data Engineer, you’ll be at the forefront of our delivery engine, with opportunities to influence our product roadmap and automate our core deployment processes. #LI-NT1", "summaryDescription" : "Data Engineer at Neara. Skills: Data Engineering, Digital twins, Machine learning. Contribute to end-to-end deployment. Ingest and manipulate massive datasets", "createdAt" : "2026-06-16T00:27:05.753", "lastUpdated" : "2026-06-16T08:45:08.129", "ingestTimestamp" : "2026-06-16T00:27:05.753", "mongoId" : "6a305099f292fd229cef29d0", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "30k-50k", "hasSalary" : false, "allSkills" : [ "Geospatial data", "Asset data", "Physics simulation", "Data Engineering", "Digital twins", "Machine learning", "Data manipulation", "Configuration management", "Quality assurance", "Reporting", "Dashboarding", "Electricity grids", "Digital twin technology", "Power grids", "Energy future" ], "skillCount" : 15, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Mid", "dataQualityScore" : 0.7777778, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Climate Tech", "llmIndustryConfidence" : 0.95 }, { "id" : "6a305098f292fd229cef28f5", "title" : "Data Scientist", "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" : "2026-06-16T09:28:19.259", "fingerprint" : "73c53329495a53c49c4a8b2eb13baf4d1a516ee6ee69bdd47dbae8fde2a3409f", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/jerry.ai/432baeb4-065e-4e02-9279-7c984b0ecb2d/application", "externalId" : "432baeb4-065e-4e02-9279-7c984b0ecb2d", "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", "technicalSkills" : "SQL, Python, Jupyter Hub, GitHub", "professionalSkills" : [ "First principles thinking", "Analytical problem solving" ], "hardSkillsList" : [ "Data interpretation", "Data structuring", "Data analysis" ], "hardSkills" : [ { "name" : "Data interpretation", "level" : "intermediate" }, { "name" : "Data structuring", "level" : "intermediate" }, { "name" : "Data analysis", "level" : "intermediate" } ], "majorSkills" : "Data Science, Analytics", "majorSkillsList" : [ "Data Science", "Analytics" ], "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 is happening, Tell them why it is happening, Tell them what next steps should be", "teamCollaboration" : "Embedded in business areas; Work with product counterparts; Work with growth counterparts; Work with finance counterparts; Work with operations counterparts", "domainKnowledge" : "Car insurance; Driving insights; Repair marketplace; Home insurance; Motorcycle insurance; RV insurance", "domainList" : [ "car-insurance", "driving-insights", "repair-marketplace", "home-insurance", "motorcycle-insurance", "rv-insurance" ], "domainSpecificKnowledge" : [ "Car insurance", "Driving insights", "Repair marketplace", "Home insurance", "Motorcycle insurance", "RV insurance" ], "toolProficiency" : [ "Clickhouse", "Metabase", "Jupyter Hub", "GitHub" ], "communicationSkills" : "Direct communication; Clear writing; Precise speaking", "problemSolvingSkills" : "First principles thinker; Break ambiguous problems into clear hypotheses", "outcomesObjectives" : "Move from 5M to 50M customers; Become a $10B business", "qualificationsBasic" : "2+ years of experience, 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", "qualificationsPreferred" : "PhD preferred, Specific ML framework experience, Cloud platform certs", "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 Data Science & 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 Data Science 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 Data Science 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 Data Science & 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 Data Science & 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 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" : "Data Scientist at Jerry.ai. Skills: Data Science, Analytics. Define the right problems. Understand business question", "createdAt" : "2026-06-16T00:27:04.331", "lastUpdated" : "2026-06-16T09:28:19.259", "ingestTimestamp" : "2026-06-16T00:27:04.331", "mongoId" : "6a305098f292fd229cef28f5", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 130000, "salaryAnnualMax" : 150000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Data interpretation", "Data structuring", "Data analysis", "Data Science", "Analytics", "First principles thinking", "Analytical problem solving", "Car insurance", "Driving insights", "Repair marketplace", "Home insurance", "Motorcycle insurance", "RV insurance", "Clickhouse", "Metabase", "Jupyter Hub", "GitHub" ], "skillCount" : 17, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Mid", "dataQualityScore" : 0.7777778, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a305098f292fd229cef28f4", "title" : "Data Scientist", "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" : "2026-06-16T15:08:58.331", "fingerprint" : "8611f42ea1ac2b47ede8f5ecc62b74b31d0e5d6a179f4ede8f2e10269726e343", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/jerry.ai/ae373b1d-425d-4a1b-b91d-e7aca9103208/application", "externalId" : "ae373b1d-425d-4a1b-b91d-e7aca9103208", "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" : "SQL, Python, Jupyter Hub, GitHub", "professionalSkills" : [ "First principles thinking", "Analytical ability" ], "hardSkillsList" : [ "Data analysis", "Experiment design", "Metrics definition" ], "softSkillsList" : [ "First principles thinker", "Direct communicator", "Owner" ], "hardSkills" : [ { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Experiment design", "level" : "intermediate" }, { "name" : "Metrics definition", "level" : "intermediate" } ], "softSkills" : [ { "name" : "First principles thinker" }, { "name" : "Direct communicator" }, { "name" : "Owner" } ], "majorSkills" : "Data Science, Analytics", "majorSkillsList" : [ "Data Science", "Analytics" ], "toolProficiency" : [ "SQL", "Metabase", "Python", "Jupyter Hub", "GitHub" ], "communicationSkills" : "Persuasive communicator; Influence decisions", "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" : 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 Data Science & 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 Data Science 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 Data Science 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 Data Science & 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 Data Science & 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 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" : "Data Scientist at Jerry.ai. Skills: Data Science, Analytics", "createdAt" : "2026-06-16T00:24:48.701", "lastUpdated" : "2026-06-16T15:08:58.331", "ingestTimestamp" : "2026-06-16T00:24:48.701", "mongoId" : "6a305098f292fd229cef28f4", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 130000, "salaryAnnualMax" : 150000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Data analysis", "Experiment design", "Metrics definition", "First principles thinker", "Direct communicator", "Owner", "Data Science", "Analytics", "First principles thinking", "Analytical ability", "SQL", "Metabase", "Python", "Jupyter Hub", "GitHub" ], "skillCount" : 15, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Mid", "dataQualityScore" : 0.7777778, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a306724f292fd229cfb9ac8", "title" : "Data Scientist", "company" : "Girl Effect", "industry" : "Media", "salary" : { "min" : 1500000.0, "max" : 2500000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Data Scientist in India, adjusted for the Media industry." }, "location" : "Kenya", "locations" : [ "Kenya" ], "timestamp" : "2026-06-16T08:37:15.466", "fingerprint" : "c46e61677bac543d20819ecabf49b31946bb6c3f8a43453fa8b272ca1d77bab4", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/girleffect/jobs/8592190002", "externalId" : "8592190002", "industryFunction" : { }, "structuredLocations" : [ { "country" : "kenya", "source" : "country_code_strategy", "geo" : "-0.0236,37.9062" } ], "locationText" : "Kenya", "coreResponsibilities" : "Scale chatbot solutions, Provide personalized experiences, Augment experiences with AI", "domainKnowledge" : "Sex health; Mental wellbeing; Livelihoods", "domainList" : [ "sex-health", "mental-wellbeing", "livelihoods" ], "domainSpecificKnowledge" : [ "Sex health", "Mental wellbeing", "Livelihoods" ], "outcomesObjectives" : "Reach 30 million girls by 2030", "rawDescription" : "Who We Are: Girl Effect builds media and tech that adolescent girls in Africa and Asia want, trust, and need. Reaching over 50 million girls, the organization provides safe spaces to access crucial facts about health, education, and relationships, empowering them to redefine what is possible. We operate three chatbots in India, South Africa and Kenya which have reached nearly 3 million users, providing answers at scale to the most pressing questions related to sex health, mental wellbeing and livelihoods, whilst directing users to real world services. In the next 5 years, we intend to scale even further. By 2030, we believe we can reach 30 million girls through our chatbot solutions, providing highly personalised experiences augmented by Artificial Intelligence. The Tech all final shortlisting and hiring decisions are made by human recruiters. Your data is never used to train public AI models, is kept strictly confidential within our secure systems, and is processed in accordance with our full Data Privacy Policy and the GDPR. Application closing date: 29th June 2026", "summaryDescription" : "Data Scientist at Girl Effect. Scale chatbot solutions. Provide personalized experiences", "postedDate" : "2026-06-15T23:26:56.239", "createdAt" : "2026-06-15T23:26:56.239", "lastUpdated" : "2026-06-16T08:37:15.466", "ingestTimestamp" : "2026-06-15T23:26:56.239", "mongoId" : "6a306724f292fd229cfb9ac8", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Sex health", "Mental wellbeing", "Livelihoods" ], "skillCount" : 3, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Mid", "dataQualityScore" : 0.7777778, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Media", "llmIndustryConfidence" : 0.0 }, { "id" : "6a305238f292fd229cf0c1d7", "title" : "Data Engineer", "company" : "Utility Warehouse", "industry" : "Utilities", "salary" : { "min" : 95000.0, "max" : 135000.0, "currency" : "GBP", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Lead Data Engineer in London, UK, adjusted for the utilities industry and company size." }, "location" : "London, England, United Kingdom", "locations" : [ "London", "England", "United Kingdom" ], "timestamp" : "2026-06-16T06:04:00.637", "fingerprint" : "cdf3b98b01e574f818779193b5c31a1a7d5c91290a0db6d72db08e845a3fc10f", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/UtilityWarehouse1/744000132231128-data-engineer", "externalId" : "744000132231128", "industryFunction" : { }, "structuredLocations" : [ { "city" : "London", "state" : "England", "country" : "United Kingdom", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "51.5074456,-0.1277653" } ], "locationText" : "London, England, United Kingdom", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "mid", "technicalSkills" : "SQL, Python, Docker, Kubernetes", "professionalSkills" : [ "Strategic Problem Solving", "System design", "Planning", "Delivery", "Operational Excellence" ], "hardSkillsList" : [ "ETL", "ELT", "Data modelling", "Dimensional modelling", "Data Vault", "DevOps practices", "Infrastructure as Code", "GitOps", "Data transformation" ], "softSkillsList" : [ "Leadership", "Mentoring" ], "hardSkills" : [ { "name" : "ETL", "level" : "intermediate" }, { "name" : "ELT", "level" : "intermediate" }, { "name" : "Data modelling", "level" : "intermediate" }, { "name" : "Dimensional modelling", "level" : "intermediate" }, { "name" : "Data Vault", "level" : "intermediate" }, { "name" : "DevOps practices", "level" : "intermediate" }, { "name" : "Infrastructure as Code", "level" : "intermediate" }, { "name" : "GitOps", "level" : "intermediate" }, { "name" : "Data transformation", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Mentoring" } ], "majorSkills" : "Data Engineering, ETL/ELT pipelines, Data warehousing, Data transformation", "majorSkillsList" : [ "Data Engineering", "ETL/ELT pipelines", "Data warehousing", "Data transformation" ], "coreResponsibilities" : "Design ETL/ELT pipelines, Build ETL/ELT pipelines, Maintain ETL/ELT pipelines, Ingest large-scale datasets, Ingest high-frequency streams, Lead data warehouse design, Lead data warehouse evolution, Manage data transformation layer, Orchestrate complex workflows, Orchestrate reliable workflows, Implement automated testing frameworks, Deploy scalable services, Ensure operational health, Partner with Product, Partner with Engineering, Facilitate data design sessions, Optimize data ingestion, Optimize data utilization, Raise technical excellence bar, Conduct code reviews, Conduct design sessions, Document best practices", "teamCollaboration" : "Stakeholder Partnership; Product and Engineering; Cross-functional design sessions; Wider Technology & Product", "projectManagementSkills" : [ "Planning", "Delivery" ], "domainKnowledge" : "Dimensional modelling; Data Vault methodologies; Enterprise schemas; Modern DevOps practices; Cloud-native architecture", "domainList" : [ "dimensional-modelling", "data-vault-methodologies", "enterprise-schemas", "modern-devops-practices", "cloud-native-architecture" ], "domainSpecificKnowledge" : [ "Dimensional modelling", "Data Vault methodologies", "Enterprise schemas", "Modern DevOps practices", "Cloud-native architecture" ], "toolProficiency" : [ "Dataform", "Dbt", "Docker", "Kubernetes", "GitOps" ], "communicationSkills" : "Clear Communication; Verbal skills; Written skills; Influence technical audiences; Influence non-technical audiences; Communicate technical successes; Communicate technical failures", "documentationSkills" : "Architectural diagrams; Technical documentation", "continuousLearning" : "Seeking latest industry trends; Introducing relevant innovations", "problemSolvingSkills" : "Strategic Problem Solving; Pragmatic problem-solvers", "specialRequirements" : "On-call rotations", "outcomesObjectives" : "Drive digitalisation; Process half-hourly meter reads", "qualificationsBasic" : "Extensive experience leading data systems design, Expert in SQL, Expert in Python, Independently implement complex projects, Deep understanding of dimensional modelling, Deep understanding of Data Vault methodologies, Track record of leading high-impact initiatives, Evaluate proposed work against team goals, Provide critical feedback, Drive end-to-end delivery of large-scale features, Provide high-quality architectural diagrams, Provide technical documentation, Experience with modern DevOps practices, Experience with Infrastructure as Code, Experience with GitOps, Manage transformation layers at scale, Advise senior stakeholders on Data Engineering, Facilitate cross-functional design sessions, Promote data-driven culture, Mentor peers, Communicate technical successes and failures", "qualificationsPreferred" : "Dataform experience preferred, Dbt experience preferred", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "Hi! We're UW. We’re on a mission to take the headache out of utilities by providing them all in one place. One bill for energy, broadband, mobile and insurance and a whole lot of savings! We’re aiming to double in size as we help more people to stop wasting time and money. Big ambitions, to be delivered by people like you. Got your attention? Read on.. We are looking for a \"full-stack\" Data Engineer to build the backbone of our data infrastructure and own the end-to-end data lifecycle. You will architect enterprise-grade systems and build products that drive digitalisation, while tackling high-volume challenges such as processing half-hourly meter reads for our energy customers. Your responsibilities will include: * Pipeline Architecture: Design, build, and maintain robust ETL/ELT pipelines to ingest large-scale datasets and high-frequency streams. * Enterprise Warehousing: Lead the design and evolution of our enterprise data warehouse, ensuring it is scalable and performant. * Modern Transformation: Manage our data transformation layer using Dataform (preferred) or dbt to orchestrate complex, reliable workflows. * Quality & Deployment: Implement automated testing frameworks and deploy scalable services using Docker and Kubernetes to ensure operational health. * Stakeholder Partnership: Act as a strategic partner to Product and Engineering, facilitating data design sessions to optimise how data is ingested and utilised. * Mentorship & Standards: Raise the bar for technical excellence within the squad through code reviews, design sessions, and documenting best practices. ## Qualifications We put people first. It’s all about you.. * Technical Mastery: * You have extensive experience leading the design of data systems and models. * You are an expert in SQL and Python, with a proven ability to independently implement complex, production-ready projects. * You possess a deep understanding of dimensional modelling (Kimball) or Data Vault methodologies, essential for creating scalable enterprise schemas. * Impact & Scope: * You have a track record of leading high-impact initiatives that align with company strategy. You can evaluate proposed work against team goals and provide critical feedback to ensure value delivery. * Planning & Delivery: * You are capable of driving the end-to-end delivery of large-scale features, providing high-quality architectural diagrams and technical documentation. * Operational Excellence: * You have strong experience with modern DevOps practices, including Infrastructure as Code, GitOps, and managing transformation layers at scale. * Business & Domain Knowledge: * You can advise senior stakeholders on applying Data Engineering to solve complex business problems and are comfortable facilitating cross-functional design sessions. * Leadership & Culture: * You role-model UW values by promoting a data-driven culture, mentoring peers, and communicating technical successes and failures clearly to the wider Technology & Product department. Skills / Competencies * Strategic Problem Solving: Ability to break down vague, high-level business requirements into concrete, scalable technical architectures. * Clear Communication: Excellent verbal and written skills, with the ability to influence technical and non-technical audiences. * Accountability: Willingness to take ownership of critical systems and participate in on-call rotations. * Continuous Learning: Proactively seeking out the latest industry trends and introducing relevant innovations to the team. Possible Next Career Steps * Senior Data Engineer * Staff Data Engineer Don’t worry if you don’t have the whole list. If you feel you have most of it and can learn the rest pretty quickly then please don’t hesitate to apply. Overall we are looking for imaginative and pragmatic problem-solvers who want to help make a positive impact with data at UW. ## Additional Information So why pick UW? We’ve got big ambitions so there’s going to be plenty of challenges. There are also a lot of benefits: * Competitive salary: We benchmark against the industry and will share the salary openly during our first conversation. * Performance bonus: An annual discretionary bonus ranging from 15-40%. * Flexible working: We’re a remote-first business. * Work-life balance: We offer an optional four-day working week (90% pay for 90% impact). * Work from anywhere: You can work abroad for up to three weeks, twice every tax year. * Holiday: 25 days plus bank holidays (increasing with tenure), with the option to trade up to five days each year. * UW discounts: Save on our services and you’ll also get access to 100s of rewards and discounts through Perkbox * Future planning: Matched-contribution pension scheme and life assurance (up to 4x salary). * Family first: Policies designed to help you and your family thrive. * Flexible benefits: An allowance for private health insurance, dental insurance, or gym membership. * Sabbaticals: An eight-week paid sabbatical after four years of service. * Growth: A dedicated learning and development budget and bi-annual promotion cycles. * Inclusion: Join belonging groups that help shape our culture. * Events: Company-wide celebrations including the ‘Great Big Get Together’ and our ‘Good Hearted Go-Getter Awards’. Not sure you meet all the requirements? Let us decide! Research shows that women and members of other underrepresented groups tend not to apply for jobs if they think they may not meet every qualification, when in fact they often do. We provide equal opportunities, a diverse and inclusive work environment, and fairness for everyone. You are welcome to apply no matter your age, disability, gender, marriage or civil partnership status, pregnancy and maternity status, race, religion or belief, or sexual orientation. Please don’t be afraid to ask about what we can do to support your needs. All requests will be carefully and fairly considered. Please note, if you are successful and offered a role at UW, you will be subject to a background check. Where checks are unsatisfactory or incomplete and/or a failure to reveal information relating to convictions that you are required to identify as part of the background checks, could lead to withdrawal of an offer of employment.", "summaryDescription" : "Data Engineer at Utility Warehouse. Skills: Data Engineering, ETL/ELT pipelines, Data warehousing, Data transformation. Design ETL/ELT pipelines. Build ETL/ELT pipelines", "postedDate" : "2026-06-15T15:15:10.000", "createdAt" : "2026-06-15T21:52:19.891", "lastUpdated" : "2026-06-16T06:04:00.637", "ingestTimestamp" : "2026-06-15T21:52:19.891", "mongoId" : "6a305238f292fd229cf0c1d7", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "75k-100k", "hasSalary" : false, "allSkills" : [ "ETL", "ELT", "Data modelling", "Dimensional modelling", "Data Vault", "DevOps practices", "Infrastructure as Code", "GitOps", "Data transformation", "Leadership", "Mentoring", "Data Engineering", "ETL/ELT pipelines", "Data warehousing", "Strategic Problem Solving", "System design", "Planning", "Delivery", "Operational Excellence", "Data Vault methodologies", "Enterprise schemas", "Modern DevOps practices", "Cloud-native architecture", "Dataform", "Dbt", "Docker", "Kubernetes" ], "skillCount" : 27, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Lead", "dataQualityScore" : 1.0, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Utilities", "llmIndustryConfidence" : 0.98 }, { "id" : "6a305238f292fd229cf0c1d8", "title" : "Data Scientist", "company" : "Utility Warehouse", "industry" : "Utilities", "salary" : { "min" : 65000.0, "max" : 95000.0, "currency" : "GBP", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Data Scientist in London, UK, adjusted for the Utilities industry and company size." }, "location" : "London, England, United Kingdom", "locations" : [ "London", "England", "United Kingdom" ], "timestamp" : "2026-06-16T05:17:10.764", "fingerprint" : "e185dfcd50df3a19dad555f0d7f1176543caf825da31468e8dd6af66f3bcbc1b", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/UtilityWarehouse1/744000132229627-data-scientist-", "externalId" : "744000132229627", "industryFunction" : { }, "structuredLocations" : [ { "city" : "London", "state" : "England", "country" : "United Kingdom", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "51.5074456,-0.1277653" } ], "locationText" : "London, England, United Kingdom", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "mid", "technicalSkills" : "Python, Pandas, Scikit-learn, SQL", "professionalSkills" : [ "Commercial Acumen", "Data storytelling" ], "hardSkillsList" : [ "Predictive Modelling", "Customer Segmentation", "Clustering techniques", "XLTV modelling", "ROI modelling", "A/B testing analysis" ], "hardSkills" : [ { "name" : "Predictive Modelling", "level" : "intermediate" }, { "name" : "Customer Segmentation", "level" : "intermediate" }, { "name" : "Clustering techniques", "level" : "intermediate" }, { "name" : "XLTV modelling", "level" : "intermediate" }, { "name" : "ROI modelling", "level" : "intermediate" }, { "name" : "A/B testing analysis", "level" : "intermediate" } ], "majorSkills" : "Machine Learning, Predictive modeling, Customer analytics", "majorSkillsList" : [ "Machine Learning", "Predictive modeling", "Customer analytics" ], "coreResponsibilities" : "Develop predictive engines, Build Next Best Action models, Build Customer Segmentation models, Build Churn Propensity models, Own xLTV modelling, Own ROI modelling, Operationalise insights, Design and deploy ML models, Develop Customer Segmentation, Tailor services and communications, Model long-term customer value, Optimize acquisition and retention spend, Productionise scalable models, Monitor models for drift, Monitor models for performance, Design A/B tests, Validate model effectiveness, Measure commercial uplift, Translate statistical outputs, Provide actionable insights", "teamCollaboration" : "Collaborate with product teams; Collaborate with engineering teams; Collaborate with Data Engineers; Collaborate with Machine Learning Engineers; Stakeholder Partnership", "domainKnowledge" : "Retail; B2C subscription; Utilities environment", "domainList" : [ "retail", "b2c-subscription", "utilities-environment" ], "domainSpecificKnowledge" : [ "Retail", "B2C subscription", "Utilities environment" ], "communicationSkills" : "Data storytelling; Explain 'black box' models", "continuousLearning" : "Learning and development budget", "qualificationsBasic" : "Proven Data Science experience, Expert-level Python, Advanced SQL, ML knowledge (Regression, Classification, Clustering, Time-series), Expertise in Churn and Propensity modeling, Ability to link technical metrics to business KPIs, Data storytelling skills", "qualificationsPreferred" : "PhD preferred, Specific ML framework experience, Cloud platform certs", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Hi! We're UW. We’re on a mission to take the headache out of utilities by providing them all in one place. One bill for energy, broadband, mobile and insurance and a whole lot of savings! We’re aiming to double in size as we help more people to stop wasting time and money. Big ambitions, to be delivered by people like you. The challenge For our customers and Partners, UW just needs to work – there when you need it, and invisible when you don’t. Just like flicking a switch. Our proposition to customers is simple, but for our technology teams, the behind-the-scenes complexity is what makes it so interesting. Learn more about life in our Tech teams [here](https://uw.co.uk/about-us/careers/technology). Got your attention? Read on... Are you a driven and curious Data Scientist eager to tackle high-impact business challenges? Join UW's Data team and build predictive engines that directly drive customer strategy. We deliver progress. What you’ll do and how you will make an impact... In this role, you will develop the \"brain\" of our customer interactions through Next Best Action (NBA), Customer Segmentation, and Churn Propensity models. You will also own xLTV and ROI modelling to guide profitable decision-making, working closely with product and engineering teams to operationalise these insights. This isn't a research role. We need a \"full-stack\" data scientist who can own the end-to-end ML lifecycle. You will take your ideas from initial Proof of Concept (POC) and exploratory analysis all the way through to building, deploying, and maintaining production-ready models, collaborating closely with our Machine Learning Engineers. Predictive Modelling: * Design and deploy robust ML models to solve business challenges, specifically Churn Propensity and Next Best Action (NBA) engines. Customer Analytics: * Develop advanced Customer Segmentation using clustering techniques to tailor services and communications. Commercial Valuation: * Own xLTV and ROI logic, modeling long-term customer value to optimize acquisition and retention spend. Deployment & Ops: * Collaborate with Data Engineers to productionise scalable models, ensuring continuous monitoring for drift and performance. Experimentation: * Design and analyse A/B tests to validate model effectiveness and measure commercial uplift. Stakeholder Partnership: * Translate complex statistical outputs into actionable insights for Marketing, Product, Commercial and Ops stakeholders. We work together. Your team and the people you will work with… Our Data teams are small, empowered, and cross-functional, taking full ownership of the solutions they build. We adopt the technologies that best support our goals and continuously raise the bar on how we deliver value. UW’s Data team is a highly driven, impact-focused group dedicated to understanding customer behaviour and shaping the company’s strategic decisions. The team applies advanced data science and machine learning to uncover key drivers of customer actions and to build business-critical models including Customer Lifetime Value and Acquisition Cost. ## Qualifications We put people first. It’s all about you... Required Skills and Experience: Experience: * Proven Data Science experience within a retail, B2C subscription or utilities environment. Modelling Expertise: * Strong ML knowledge (Regression, Classification, Clustering, Time-series). Expertise in Churn and Propensity modeling is essential. Tech Stack: * Expert-level Python (pandas, scikit-learn) and advanced SQL for complex feature engineering. Commercial Acumen: * Ability to link technical metrics to business KPIs. Communication: * Strong data storytelling skills to explain \"black box\" models to business leaders. ## Additional Information Why join UW? We have big ambitions, which means plenty of challenges to tackle and solutions for you to build. We’re looking for people who want to roll up their sleeves and get involved. Our benefits: * Competitive salary: We benchmark against the industry and will share the salary openly during our first conversation. * Performance bonus: An annual discretionary bonus ranging from 15-40%. * Flexible working * Work-life balance: We offer an optional four-day working week (90% pay for 90% impact). * Work from anywhere: You can work abroad for up to three weeks, twice every tax year. * Holiday: 25 days plus bank holidays (increasing with tenure), with the option to trade up to five days each year. * UW discounts: Save on our services and you’ll also get access to 100s of rewards and discounts through Perkbox * Future planning: Matched-contribution pension scheme and life assurance (up to 4x salary). * Family first: Policies designed to help you and your family thrive. * Flexible benefits: An allowance for private health insurance, dental insurance, or gym membership. * Sabbaticals: An eight-week paid sabbatical after four years of service. * Growth: A dedicated learning and development budget and bi-annual promotion cycles. * Inclusion: Join belonging groups that help shape our culture. * Events: Company-wide celebrations including the ‘Great Big Get Together’ and our ‘Good Hearted Go-Getter Awards’. Apply here! You’ve got this far… Hit apply - we can’t wait to hear from you! Worried you don’t meet all the criteria? We welcome applications from diverse and varied backgrounds, so get your application in and let’s chat! Beth Rodgers will be your point of contact throughout the process. Not sure you meet all the requirements? Let us decide! Research shows that women and members of other underrepresented groups tend not to apply for jobs if they think they may not meet every qualification, when in fact they often do. We provide equal opportunities, a diverse and inclusive work environment, and fairness for everyone. You are welcome to apply no matter your age, disability, gender, marriage or civil partnership status, pregnancy and maternity status, race, religion or belief, or sexual orientation. Please don’t be afraid to ask about what we can do to support your needs. All requests will be carefully and fairly considered. Please note, if you are successful and offered a role at UW, you will be subject to a background check. Where checks are unsatisfactory or incomplete and/or a failure to reveal information relating to convictions that you are required to identify as part of the background checks, could lead to withdrawal of an offer of employment.", "summaryDescription" : "Data Scientist at Utility Warehouse. Skills: Machine Learning, Predictive modeling, Customer analytics. Develop predictive engines. Build Next Best Action models", "postedDate" : "2026-06-15T15:14:52.000", "createdAt" : "2026-06-15T21:50:31.805", "lastUpdated" : "2026-06-16T05:17:10.764", "ingestTimestamp" : "2026-06-15T21:50:31.805", "mongoId" : "6a305238f292fd229cf0c1d8", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "50k-75k", "hasSalary" : false, "allSkills" : [ "Predictive Modelling", "Customer Segmentation", "Clustering techniques", "XLTV modelling", "ROI modelling", "A/B testing analysis", "Machine Learning", "Predictive modeling", "Customer analytics", "Commercial Acumen", "Data storytelling", "Retail", "B2C subscription", "Utilities environment" ], "skillCount" : 14, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Mid", "dataQualityScore" : 1.0, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Utilities", "llmIndustryConfidence" : 0.98 }, { "id" : "69cf3f062beec4dd3d9340ff", "title" : "Data and Analytics Architect", "company" : "ADCI HYD", "industry" : "Operations, IT, Support Engineering, Solution Architect, Cloud Computing", "salary" : { "min" : 2500000.0, "max" : 4000000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Senior Data and Analytics Architect in Hyderabad, India, adjusted for the FinTech industry and company size." }, "location" : "Hyderabad, Telangana, IND", "locations" : [ "Hyderabad, Telangana, IND" ], "timestamp" : "2026-06-15T07:27:32.772", "fingerprint" : "5ad498afe6ceb25c77afff66f9b663db573be509c4597dad8763d7801ca5c8cb", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/10382143/apply", "externalId" : "fe65d693-5feb-466a-8c26-5393f1ddf5b6", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Hyderabad", "state" : "Telangana", "country" : "India", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "17.3605890,78.4740613" } ], "locationText" : "Hyderabad, Telangana, India", "employmentType" : "FULL_TIME", "experienceMinYears" : 6, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "AWS, Redshift, S3, AWS Glue, Amazon Athena, Amazon QuickSight, AWS Lambda, EMR, Kinesis, FireHose, IAM, SAP", "professionalSkills" : [ "Data engineering", "Analytics architecture", "Data platform design", "Data ingestion", "Data transformation", "Data storage", "Semantic modeling", "Reporting", "Analytics patterns", "Data pipelines", "Data processing", "Reporting architectures", "Data quality", "Data governance", "Data security", "Operational controls", "Business requirements", "Architecture standards", "Data flow diagrams", "Support procedures", "Performance issues", "Data quality concerns", "Corrective actions", "Implementation initiatives", "Migration initiatives", "Modernization initiatives", "Enhancement initiatives", "Platform integration" ], "hardSkillsList" : [ "Data engineering", "Database engineering", "Business intelligence", "Business analytics", "Data warehousing", "Enterprise data platform", "Data pipelines", "Analytics solutions", "Data processing", "Reporting architectures", "Data quality", "Data governance", "Data security", "Operational controls", "Data integration" ], "hardSkills" : [ { "name" : "Data engineering", "level" : "intermediate" }, { "name" : "Database engineering", "level" : "intermediate" }, { "name" : "Business intelligence", "level" : "intermediate" }, { "name" : "Business analytics", "level" : "intermediate" }, { "name" : "Data warehousing", "level" : "intermediate" }, { "name" : "Enterprise data platform", "level" : "intermediate" }, { "name" : "Data pipelines", "level" : "intermediate" }, { "name" : "Analytics solutions", "level" : "intermediate" }, { "name" : "Data processing", "level" : "intermediate" }, { "name" : "Reporting architectures", "level" : "intermediate" }, { "name" : "Data quality", "level" : "intermediate" }, { "name" : "Data governance", "level" : "intermediate" }, { "name" : "Data security", "level" : "intermediate" }, { "name" : "Operational controls", "level" : "intermediate" }, { "name" : "Data integration", "level" : "intermediate" } ], "majorSkills" : "Data architecture, AWS data services, Data platform design", "majorSkillsList" : [ "Data architecture", "AWS data services", "Data platform design" ], "coreResponsibilities" : "Lead design of data solutions, Lead implementation of data solutions, Lead support of data solutions, Architect data platforms using AWS, Define data ingestion patterns, Implement data ingestion patterns, Define data transformation patterns, Implement data transformation patterns, Define data storage patterns, Implement data storage patterns, Define semantic modeling patterns, Implement semantic modeling patterns, Define reporting patterns, Implement reporting patterns, Define analytics patterns, Implement analytics patterns, Design data pipelines, Optimize data pipelines, Design batch data processing, Optimize batch data processing, Design near real-time processing, Optimize near real-time processing, Design reporting architectures, Optimize reporting architectures, Ensure data quality, Ensure data governance, Ensure data security, Ensure operational controls, Work with business teams, Work with finance teams, Work with IT teams, Work with application teams, Design reliable data solutions, Design scalable data solutions, Develop architecture standards, Maintain architecture standards, Develop design documents, Maintain design documents, Develop data flow diagrams, Maintain data flow diagrams, Develop support procedures, Maintain support procedures, Monitor data pipelines, Monitor analytics platforms, Monitor reporting solutions, Drive corrective actions", "teamCollaboration" : "Business teams; Finance teams; IT teams; Application teams", "domainKnowledge" : "FinTech; SAP data; Finance reporting; Supply chain reporting; Enterprise operational reporting", "domainList" : [ "fintech", "sap-data", "finance-reporting", "supply-chain-reporting", "enterprise-operational-reporting" ], "domainSpecificKnowledge" : [ "FinTech", "SAP data", "Finance reporting", "Supply chain reporting", "Enterprise operational reporting" ], "documentationSkills" : "Design documents; Data flow diagrams", "problemSolvingSkills" : "Problem-solving", "qualificationsBasic" : "6+ years data engineering experience, 8+ years analytics experience, Experience designing scalable data pipelines, Experience designing cloud-based analytics solutions, Excellent analytical skills, Excellent problem-solving skills, Excellent stakeholder management skills, Ability to work independently, Ability to work as part of a team", "qualificationsPreferred" : "Knowledge of SAP data platforms, Experience with real-time data processing, Experience with event-driven data processing, Experience with data lake architecture, Experience with data warehouse architecture, Experience with hybrid analytics architecture, Experience with enterprise reporting, Experience with KPI frameworks, Experience with dashboard design, Knowledge of finance reporting domains, Knowledge of supply chain reporting domains, Knowledge of enterprise operational reporting domains, Experience leading data modernization initiatives, Experience leading cloud transformation initiatives", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "We are seeking an experienced Data and Analytics Architect to join our team. The ideal candidate will be responsible for leading the design, implementation, and support of scalable data and analytics solutions on AWS, enabling trusted reporting, enterprise insights, and seamless integration across enterprise platforms. The primary focus of this role is AWS-based data engineering, analytics architecture, and modern data platform design, with SAP knowledge considered a strong advantage. Key job responsibilities * Lead the design, implementation, and support of enterprise data and analytics solutions on AWS. * Architect scalable data platforms using AWS services such as Amazon Redshift, Amazon S3, AWS Glue, Amazon Athena, Amazon QuickSuite, AWS Lambda, and related AWS data services. * Define and implement data ingestion, transformation, storage, semantic modeling, reporting, and analytics patterns across structured and semi-structured data sources. * Design and optimize enterprise data pipelines, batch and near real-time data processing, and reporting architectures. * Ensure data quality, governance, security, and operational controls are built into the platform architecture. * Work closely with business, finance, IT, and application teams to design reliable and scalable data solutions aligned with business requirements. * Develop and maintain architecture standards, design documents, data flow diagrams, and support procedures. * Monitor data pipelines, analytics platforms, and reporting solutions for failures, performance issues, and data quality concerns, and drive corrective actions. * Lead implementation, migration, modernization, and enhancement initiatives across data and analytics platforms. * Support integration with enterprise platforms, including SAP and non-SAP systems where required. Basic Qualifications: - Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions - 6+ years of data engineering, database engineering, business intelligence or business analytics experience - 8+ years of relevant experience in data engineering, analytics, data warehousing, or enterprise data platform implementation and support. - Experience designing scalable data pipelines and cloud-based analytics solutions across complex enterprise environments. - Excellent analytical, problem-solving, and stakeholder management skills, with the ability to work independently and as part of a team. Preferred Qualifications: - Knowledge of SAP data and analytics platforms such as SAP S/4HANA, BW, Datasphere, or SAC is good to have. - Experience with real-time or event-driven data processing patterns. - Experience with data lake, data warehouse, and hybrid analytics architecture patterns. - Experience with enterprise reporting, KPI frameworks, and dashboard design. - Knowledge of finance, supply chain, or enterprise operational reporting domains. - Experience leading data modernization or cloud transformation initiatives. 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.", "summaryDescription" : "Data and Analytics Architect at ADCI HYD. Skills: Data architecture, AWS data services, Data platform design. Lead design of data solutions. Lead implementation of data solutions", "postedDate" : "2026-06-13T14:22:44.066", "createdAt" : "2026-06-13T14:22:44.066", "lastUpdated" : "2026-06-15T07:27:32.772", "ingestTimestamp" : "2026-06-13T14:22:44.066", "mongoId" : "69cf3f062beec4dd3d9340ff", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/10382143/apply", "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Data engineering", "Database engineering", "Business intelligence", "Business analytics", "Data warehousing", "Enterprise data platform", "Data pipelines", "Analytics solutions", "Data processing", "Reporting architectures", "Data quality", "Data governance", "Data security", "Operational controls", "Data integration", "Data architecture", "AWS data services", "Data platform design", "Analytics architecture", "Data ingestion", "Data transformation", "Data storage", "Semantic modeling", "Reporting", "Analytics patterns", "Business requirements", "Architecture standards", "Data flow diagrams", "Support procedures", "Performance issues", "Data quality concerns", "Corrective actions", "Implementation initiatives", "Migration initiatives", "Modernization initiatives", "Enhancement initiatives", "Platform integration", "FinTech", "SAP data", "Finance reporting", "Supply chain reporting", "Enterprise operational reporting" ], "skillCount" : 42, "jobCategory" : "operations", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "6a2c6a8f74d8ee00a090c9ce", "title" : "Sr Director, Data and Application Engineering", "company" : "ABACUS", "industry" : "Technology", "salary" : { "min" : 245000.0, "max" : 375000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline data for a Sr Director, Data and Application Engineering in the Technology industry in the United States, adjusted for seniority and remote work." }, "location" : "Remote in US", "locations" : [ "Remote in US" ], "timestamp" : "2026-06-15T21:47:59.306", "fingerprint" : "7470b233e5544201af654abb5b65c275bc32fcf3e35253199982be98ed3b7f16", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://abacustechnology.com/about/careers/current-vacancies/?gh_jid=7726360003", "externalId" : "7726360003", "industryFunction" : { }, "structuredLocations" : [ { "country" : "United States", "continent" : "na", "workMode" : "remote" } ], "locationText" : "United States", "employmentType" : "FULL_TIME", "experienceLevel" : "Director", "technicalSkills" : "AI/ML, Data platform, DevOps, Application Development, CI/CD, Automation tooling, ServiceNow development, ServiceNow configuration, AI-powered tools, AI agents", "professionalSkills" : [ "Strategic leadership", "Execution focus", "Technical strategy", "Stakeholder management", "Organizational design", "Team development", "Cross-functional collaboration", "Executive communication" ], "hardSkillsList" : [ "Metrics definition", "KPI tracking", "Risk reporting", "Outcome reporting", "Governance standards", "Compliance standards", "Security standards" ], "softSkillsList" : [ "Leadership" ], "hardSkills" : [ { "name" : "Metrics definition", "level" : "intermediate" }, { "name" : "KPI tracking", "level" : "intermediate" }, { "name" : "Risk reporting", "level" : "intermediate" }, { "name" : "Outcome reporting", "level" : "intermediate" }, { "name" : "Governance standards", "level" : "intermediate" }, { "name" : "Compliance standards", "level" : "intermediate" }, { "name" : "Security standards", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" } ], "majorSkills" : "Data Engineering, Application Development, DevOps, AI Development", "majorSkillsList" : [ "Data Engineering", "Application Development", "DevOps", "AI Development" ], "coreResponsibilities" : "Lead technical teams, Drive engineering initiatives, Oversee practice areas, Align teams to goals, Ensure rigorous practices, Ensure velocity, Ensure collaboration, Build enterprise-grade platforms, Build enterprise-grade solutions, Support career development, Define KPIs, Track KPIs, Report progress, Report risks, Report outcomes, Ensure practices meet governance, Ensure practices meet compliance, Ensure practices meet security, Architect enterprise data platform, Resource enterprise data platform, Deliver data platform capabilities, Structure ServiceNow backlog, Prioritize ServiceNow backlog, Progress ServiceNow development, Identify DevOps automation initiatives, Scope DevOps automation initiatives, Deliver DevOps automation efficiency, Own Abacus portal roadmap, Communicate Abacus portal roadmap, Progress Abacus portal development, Deploy AI solutions, Deliver AI business value, Define team charters, Define team goals, Define team delivery metrics, Reflect cross-team collaboration, Reflect consistent delivery", "teamCollaboration" : "Cross-functional teams; Internal stakeholders; Executive leadership; Service delivery team; Across multiple disciplines", "projectManagementSkills" : [ "Roadmap planning", "Prioritization" ], "domainKnowledge" : "Regulated environments; Financial services; Healthcare; Managed Services Provider (MSP); ITSM platforms; Data lakes; Lakehouses; Data mesh architectures", "domainList" : [ "regulated-environments", "financial-services", "healthcare", "managed-services-provider-msp", "itsm-platforms", "data-lakes", "lakehouses", "data-mesh-architectures" ], "domainSpecificKnowledge" : [ "Regulated environments", "Financial services", "Healthcare", "Managed Services Provider (MSP)", "ITSM platforms", "Data lakes", "Lakehouses", "Data mesh architectures" ], "toolProficiency" : [ "ServiceNow" ], "communicationSkills" : "Executive communication; Stakeholder management; Compelling communication", "continuousLearning" : "Online courses", "outcomesObjectives" : "Enterprise data platform foundation architected; Enterprise data platform resourced; Enterprise data platform delivering capabilities; ServiceNow development backlog progressing; DevOps automation delivering efficiency; Abacus portal roadmap progressing; AI solutions deployed; AI solutions delivering value; Teams operate with clear charters; Teams operate with clear goals; Teams operate with clear metrics; Engineering culture reflects collaboration; Engineering culture reflects delivery", "qualificationsBasic" : "12+ years software engineering, data engineering, DevOps, 7+ years progressive engineering leadership, Managing managers or multi-team organizations, Delivering enterprise-scale platforms and applications, Working in regulated industries, Translate business objectives into technical strategy", "qualificationsPreferred" : "Experience in Managed Services Provider (MSP), Familiarity with ServiceNow development and configuration, Hands-on data platform architecture, Hands-on AI/ML engineering, Hands-on DevOps automation, Experience with AI governance frameworks, Experience with risk management frameworks, Experience with compliance frameworks, Exposure to enterprise data platform design", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "Overview We are seeking a highly strategic and execution-focused Sr Director, Data and Application Engineering to lead a broad portfolio of technical teams driving the organization's most critical engineering initiatives. Reporting directly to the Chief Technology Officer (CTO), this leader will oversee four core practice areas — DevOps, Application Development, Data Engineering, and Internal AI Development — and will be responsible for aligning these teams to deliver on the department's strategic goals. As a 1,000-person Managed Services Provider (MSP) serving financial services and healthcare clients, we operate in highly regulated environments that demand secure, compliant, and reliable engineering practices. This leader will ensure all teams operate with the rigor, velocity, and collaboration required to build enterprise-grade platforms and solutions. Reporting Structure Reports to: Chief Technology Officer (CTO) Direct Reports: Engineering leads across DevOps, Application Development, Data Engineering, and AI Development Teams Overseen DevOps Responsible for the infrastructure, CI/CD pipelines, and internal automation capabilities of the organization. This team supports development velocity, reliability, and the continued expansion of automation tooling across internal operations. Application Development Owns the design, development, and ongoing maintenance of internally built applications — most notably the Abacus portal — and supports service delivery initiatives including development and configuration work within ServiceNow. Data Engineering Leads the architecture, construction, and operation of the organization's enterprise data platform, enabling reliable, governed, and scalable data infrastructure across business units. Internal AI Development Drives the development and deployment of AI-powered tools and agents that deliver measurable efficiency gains across the organization. Partners with internal stakeholders to identify, prioritize, and implement AI solutions aligned to business needs. Departmental Goals This role is accountable for organizing and directing all four teams toward the following high-level department objectives: Build and mature the organization's enterprise data platform to support scalable, governed, and insight-ready data infrastructure Assist the service delivery team with the continued development and configuration of ServiceNow to improve ITSM capabilities and operational workflows Expand and integrate the DevOps team's scope to encompass internal automation initiatives, reducing manual effort and improving engineering efficiency across the organization Own the roadmap, development, and ongoing evolution of the internally developed Abacus portal Collaborate with internal stakeholders to identify, prioritize, and deliver AI solutions that drive organizational efficiency and support strategic business outcomes Key Responsibilities Strategic Leadership support career development at all levels Metrics, Reporting & Governance Define and track KPIs across teams (e.g., deployment frequency, platform uptime, data quality, AI adoption, development velocity) Regularly report progress, risks, and outcomes to the CTO and executive leadership Ensure all engineering practices meet governance, compliance, and security standards for regulated environments Qualifications Required 12+ years of experience in software engineering, data engineering, DevOps, or related technical disciplines 7+ years in progressive engineering leadership roles, including managing managers or multi-team organizations Demonstrated experience overseeing multiple, diverse technical teams simultaneously Proven track record of delivering enterprise-scale platforms and applications in production environments Experience working in regulated industries such as financial services, healthcare, or similar Strong ability to translate business objectives into technical strategy and measurable delivery outcomes Excellent executive communication and stakeholder management skills Preferred Experience within a Managed Services Provider (MSP) or services-based technology organization Familiarity with ITSM platforms, particularly ServiceNow development and configuration Hands-on background in one or more of: data platform architecture, AI/ML engineering, or DevOps automation Experience with AI governance, risk management, and compliance frameworks Exposure to enterprise data platform design (e.g., data lakes, lakehouses, data mesh architectures) Key Competencies Strategic vision balanced with pragmatic execution Cross-functional collaboration and executive stakeholder management Organizational design and team development across multiple disciplines Data-driven decision-making and outcomes orientation Clear, compelling communication with both technical and non-technical audiences Ability to lead through ambiguity in a fast-paced, evolving environment Success Metrics (First 12–18 Months) Enterprise data platform foundation is architected, resourced, and delivering initial capabilities ServiceNow development backlog is structured, prioritized, and progressing in partnership with service delivery DevOps automation initiatives are identified, scoped, and delivering measurable efficiency gains Abacus portal roadmap is owned, communicated, and actively progressing At least 2–3 AI solutions are deployed and delivering measurable business value All four engineering teams operate with clear charters, goals, and delivery metrics Engineering culture reflects strong cross-team collaboration and consistent delivery practices Why This Role Matters This role sits at the intersection of platform, product, data, and AI — and is central to the organization's ability to scale, innovate, and operate with excellence. The Senior Director of Engineering will unify four critical engineering functions under a shared vision, accelerating the delivery of the enterprise data platform, modernizing internal tooling, and embedding AI-driven efficiency into the organization's core operations. This is a high-visibility, high-impact leadership role with direct line of sight to the CTO and meaningful influence over the company's long-term technical direction. Benefits of Working for Abacus: Exposure to diverse array of technologies Part of a team of experienced engineers who aim to deliver exceptional service Competitive compensation Performance bonus Robust benefits package: medical, dental, vision, disability, life insurance, 401k, and PTO Opportunities to further technical education through online courses Positive, friendly, supportive work environment", "summaryDescription" : "Sr Director, Data and Application Engineering at ABACUS. Skills: Data Engineering, Application Development, DevOps, AI Development. Lead technical teams. Drive engineering initiatives", "postedDate" : "2026-06-14T19:15:30.605", "createdAt" : "2026-06-14T19:15:30.605", "lastUpdated" : "2026-06-15T21:47:59.306", "ingestTimestamp" : "2026-06-14T19:15:30.605", "mongoId" : "6a2c6a8f74d8ee00a090c9ce", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 245000, "salaryAnnualMax" : 375000, "salaryBand" : "200k+", "hasSalary" : true, "allSkills" : [ "Metrics definition", "KPI tracking", "Risk reporting", "Outcome reporting", "Governance standards", "Compliance standards", "Security standards", "Leadership", "Data Engineering", "Application Development", "DevOps", "AI Development", "Strategic leadership", "Execution focus", "Technical strategy", "Stakeholder management", "Organizational design", "Team development", "Cross-functional collaboration", "Executive communication", "Roadmap planning", "Prioritization", "Regulated environments", "Financial services", "Healthcare", "Managed Services Provider (MSP)", "ITSM platforms", "Data lakes", "Lakehouses", "Data mesh architectures", "ServiceNow" ], "skillCount" : 31, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Director", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 } ], "status" : 200, "message" : "ability to understand and interpret complex healthcare data e g claims data ehr data quality metrics to identify trends opportunities and areas for improvement jobs", "metadata" : { "title" : "ability to understand and interpret complex healthcare data e g claims data ehr data quality metrics to identify trends opportunities and areas for improvement" }, "pagination" : { "page" : 0, "limit" : 50, "totalCount" : 58873, "totalPages" : 1178, "hasNext" : true, "hasPrevious" : false } }

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