Top Data Management Jobs in San Francisco Bay Area, CA

The Senior Manager in R&D Data Literacy & Monetization drives the strategic utilization of R&D data, transforms datasets into reusable products, and promotes data literacy across the organization, ensuring effective governance and promoting advanced analytics and AI initiatives.

The Engagement Manager will oversee the data modernization lifecycle, coordinating with partners to implement modern data platforms and manage multiple concurrent engagements effectively.

Lead and scale the data analytics function, manage a distributed analytics team, deliver actionable insights, and oversee analytics projects.

Lead a team of data analysts, ensuring accurate reporting, data integration, and analytics presentations while collaborating with agency partners.

As Senior Manager of IT Commercial Data Management, you will lead data initiatives, manage product ownership, and develop data governance strategies in collaboration with stakeholders, ensuring high data quality and analytics capabilities.

Lead and expand Data Acquisition teams, building and maintaining data pipelines and services for healthcare while collaborating with product management and engineering teams.

The Manager of Data Engineering will lead the data engineering team, oversee data pipeline design and implementation, manage data governance, and ensure data quality while driving team professional growth.

The Analytics Manager will lead the analytics team, optimize data processes, manage KPIs, and create data visualizations to influence business decisions.

The Data Manager will execute analytics, manage data sourcing and dashboards, streamline reporting, and provide insights for business improvement and performance measurement.

The Manager, Data Analytics & Strategy will lead data projects, design measurement frameworks, and provide actionable insights to shape client outcomes by applying advanced data analysis techniques and overseeing the development of client-facing deliverables.

Manage and develop a team of Data Analysts, oversee analytics deliverables, partner with cross-functional teams to deliver insights, and implement BI tools.

The role involves managing data analytics and visualization for Sales Enablement, creating actionable insights, and supporting decision-making processes within Visa's global sales operations.

The Finance Data and Systems Manager will automate financial workflows using SQL and Python, manage reporting pipelines, and support financial close processes.

Lead a team of Data Scientists and Analysts, developing AI and data-driven solutions, driving analytics insights, and fostering collaboration across teams.

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 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.

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.

Lead scaling of a commercial channel data management platform for oncology/hematology. Manage vendor and data provider relationships, design data pipelines and governance, improve data quality, oversee data aggregation and provisioning for commercial insights, and ensure compliance, security, and documentation.

Lead a team of ~7 data scientists to deliver timely, accurate product analytics and experimentation insights; manage people, mentor staff, partner with product and engineering, and build accessible data products and measurement practices.

Lead the Data Engineering team at Docker, focusing on strategic data analytics and platform evolution to enhance product innovation and customer insights.

Lead a data science team to develop insights from autonomous vehicle data, create scalable platforms for data access, and collaborate with cross-functional teams on performance measures.