Top Data Management Jobs in San Francisco Bay Area, CA

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

Lead architect for Compliance data at Coinbase, defining data governance frameworks, designing data contracts, mapping data lineage, and quantifying data impact to enhance compliance reporting and data quality processes.

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.

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

The Tag Manager will oversee and optimize Rula's tagging ecosystem, ensuring accurate data capture and collaborating cross-functionally to enhance analytics capabilities and data trust.

Lead the development of a unified data strategy for Clorox's Amazon Customer Team, integrating data sources, enhancing analytics capabilities, and driving data literacy across the organization.

Manage integration processes, analyze data quality, design reporting solutions, and facilitate integration teams while supporting enterprise initiatives.

Manage and optimize GTM tech stack, oversee Salesforce CRM, ensure data quality across systems, build data models, and create actionable insights for go-to-market strategy.

The role involves managing data strategy initiatives, advising C-suite on data usage, leading implementation of data solutions, mentoring teams, and supporting business development.

Lead a team of Data Scientists, Analytics Engineers, and Data Engineers to drive messaging strategies through analytics and data science, ensuring collaboration across various business domains.

The Senior Data Manager will design, configure, and launch clinical trials on Citrus while managing data quality and collaborating with product teams and stakeholders.

As a Data Manager, you will oversee data management for clinical trials, ensuring quality outcomes, designing data capture tools, and collaborating on product development.

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.

As a Curriculum Manager, you will manage the content development lifecycle, collaborate with instructors, and improve data science curriculum, ensuring technical accuracy and pedagogical effectiveness.

As a Data Analytics Manager, you will lead a team to analyze data, drive strategic insights, manage projects, and optimize mobile app performance for top brands.

The Senior Data Manager is responsible for acquiring, cleaning, and managing datasets, developing data architectures, and ensuring data accessibility for business analysis and reporting.

The Data Analytics Manager will analyze business trends, provide insights across channels, support omni-channel teams, and enhance marketing strategies using data.

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

Lead global privacy policy strategy at Anthropic, focusing on AI data governance, regulatory frameworks, and stakeholder engagement, while ensuring compliance with evolving privacy laws.

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

Lead and mentor a Data Engineering team, manage data operations, ensure compliance with HIPAA, and design scalable ETL pipelines while collaborating across departments.

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