Top Data Management Jobs

The Senior Data Strategy Manager leads high-priority data initiatives, manages budgets, prepares executive communications, and aligns data strategy with business priorities.

As a Policy Administration Data Analyst Manager, you will lead a team to manage reporting, analytics, data accuracy, and provide insights for operational decision-making, ensuring efficiency and compliance.

Lead and mentor a team of data engineers to design, implement, and maintain scalable data pipelines, ensuring data quality and compliance with healthcare regulations.

The Manager, Global Data Privacy will lead the data privacy program, influencing compliance, implementing privacy solutions, and managing a team of analysts across various business functions.

The Senior Data Manager interprets and analyzes data, creates dashboards, maintains data quality, and oversees data strategy implementation.

This role oversees master data governance, leading a global team and ensuring accurate data management across commercial operations. Responsibilities include strategy development, integration, and continuous improvement of master data quality.

The role involves leading a team of analytics engineers to develop scalable data solutions for product metrics, ensuring data integrity, and fostering a culture of excellence in data-driven decision making.

Lead projects to enhance customer experience, oversee data operations, and implement marketing strategies while analyzing market needs and insights.

The Senior Manager leads modernization of data engineering capabilities, ensuring reliable and scalable data systems while managing a team of data engineers to deliver impactful data products.

The Clinical Data Manager will manage research databases, oversee EHR to EDC automation, ensure data quality, and perform statistical analyses.

The Senior Manager leads Power BI reporting and analytics functions, overseeing a team and ensuring standardized, scalable reporting solutions while managing transition to Microsoft Fabric.

Lead a team of ~7 data scientists to deliver accurate product analytics and experimentation insights. Manage people, mentor staff, partner with product and engineering to build accessible data products, and improve measurement, reporting, and experiment practices to inform product decisions.

Lead a team of ~7 data scientists to deliver timely, accurate product analytics and experimentation insights. Manage people, partner with product and engineering, improve measurement and data products, and ensure rigorous large-scale analysis to inform product decisions.

Manage a team of ~7 data scientists to deliver experimental design, product analytics, and actionable insights. Partner with product, engineering, and research to build measurement, data products, and reporting; ensure data accuracy, timely delivery, and best practices.

Lead a Product Analytics data science team to deliver timely, accurate insights for product decisions. Manage ~7 data scientists, mentor teammates, partner with product and engineering, develop experimentation and measurement best practices, and build accessible data products and reports.

Lead a team of ~7 data scientists to deliver timely, accurate product analytics and experiments; support product teams, build accessible data products, mentor staff, and improve measurement and reporting practices.

Lead a team of ~7 data scientists to deliver timely, accurate product analytics: guide experimentation, partner with product and engineering, build accessible data products, mentor staff, and improve measurement and reporting practices to inform product decisions.

Lead a team of product analytics data scientists to deliver timely, accurate quantitative insights for product strategy, experimentation, and measurement. Manage people, mentor staff, partner with product and engineering to build accessible data products, and improve experimentation and reporting practices to inform decisions across the Foundation and movement.

This role involves leading the Data Engineering team, managing large-scale data pipeline delivery, ensuring data quality, and fostering partnerships with other teams for data governance and project management.

The Manager of Data Engineering will lead a team in optimizing data pipelines, manage complex projects, and ensure effective data solutions for the organization.

The Data Product Manager (DPM) leads the lifecycle and development of data-centric products, aligning them with business goals and collaborating with cross-functional teams to deliver value and insights from data products.

The Senior Manager of Data Engineering will lead a team, manage data platforms, drive modernization, oversee budgets, and ensure data solutions are scalable and reliable.

Lead and manage data integrity initiatives, ensuring compliance with industry standards and regulatory requirements while mentoring a team and coordinating cross-functional activities.

Manage analysts and vendor relationships, oversee data budget, develop integration roadmap, and evaluate new data services including Proofs of Concept.

The Market Data Manager will oversee vendor relationships, support data governance, ensure data quality, compliance, and align strategies with business needs.