Top Senior Data Management Jobs in San Francisco Bay Area, CA

Lead a data science team to optimize ad ranking and marketplace efficiency, develop data-driven strategies, and deliver actionable insights.

Lead insights and data science strategies for the Payer Group at Headway, driving analytics to improve patient outcomes and collaborating with multiple stakeholders.

Lead and manage a team of data engineers, oversee data warehouses and pipelines, ensure scalable data architecture, and foster partnerships with data analysts and scientists.

Lead analytics engineering for finance data, delivering governed models and reporting solutions, improving data quality and controls, and partnering with multiple stakeholders.

Manage projects and teams to leverage data and technology in M&A, driving strategic insights and improving deal decisions through advanced analytics and AI.

Lead the development of analytics solutions across operations, manage a team of analysts, and drive operational excellence and decision-making through data insights.

The Manager of Data Management leads client engagements in life sciences, overseeing data processes, project leadership, and client relationships while enhancing analytical capabilities and methodologies.

Lead a team of data scientists to optimize Databricks infrastructure using data science for capacity planning, reliability, and performance improvements.

The Sr. Manager oversees knowledge base management, data ingestion, taxonomy, quality control, and RAG pipelines while ensuring data integrity and governance.

Lead and manage a Data Science team focused on analytics, experimentation, and machine learning, driving insights for product and marketing strategies.

The role involves leading a team to drive data-informed decision-making and AI solutions to enhance commercial operations and growth. Responsibilities include mentoring, executing digital transformation roadmaps, and improving business processes through data analytics.

Manage a team of analysts while analyzing data, reporting, and enabling AI/ML model deployment. Provide insights and automate processes.

Manage a team of data scientists to develop fraud detection models, mentor staff, and collaborate with leadership on solutions and product development.

The Senior Data Manager oversees clinical trial data management, ensuring data quality and compliance through collaboration with cross-functional partners, database management, and vendor oversight.

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

Lead clinical data management for studies, oversee CROs, ensure data quality, coordinate data review, and assist in clinical system implementations.

The Manager of Data Analytics Engineering will lead a team of engineers, manage data pipelines migration, collaborate with project managers, and mentor staff while fostering growth in a data-driven environment.

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

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

The Data Manager will analyze cross-channel data to provide insights for nonprofit clients, streamline reporting processes, and enhance analytics capabilities. Responsibilities include building dashboards, developing measurement frameworks, and collaborating with teams to guide strategic recommendations.

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.

The Senior Manager, Data Science & Analytics will lead a team to drive analytics and experimentation strategies for Yahoo Mail's growth and monetization, engaging with product, finance, and marketing to transform data insights into actionable strategies for success.

Lead a data science team to enhance Netflix's streaming product through analytics and experimentation, partnering with engineering.

Lead the Promotional Media Data Science team, overseeing causal inference, experimentation, and analytics to optimize promotional strategies and enhance member experience at Netflix.

Lead a data science team to drive consumer acquisition strategies and improve Netflix's signup processes through analytics, experimentation, and machine learning.