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.

The Data Systems Manager will oversee data architecture, implement MDM strategies, ensure data quality, and drive governance initiatives to support business intelligence.

Manage data and analytics projects, align client data strategies, facilitate cloud data migration, and coach team members while ensuring business objectives are met.

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 Data Quality Associate Manager analyzes data quality, implements cleansing strategies, resolves issues, prepares reports, and mentors team members.

The Data Engineering Manager will lead a team to build a data pipeline for analyzing advertising effectiveness, managing large datasets and collaborating cross-functionally with teams.

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.

The Corporate Data & Analytics Manager leads a data department, overseeing analytics platforms, governance, and cross-functional collaboration to drive business value and compliance.

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

The Senior Manager, Data Analytics leads a team of Data Product Managers to deliver insights, AI initiatives, and analytics solutions to support business growth across various departments.

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

The Data Insights Manager translates data into actionable insights, builds dashboards, and collaborates to drive data-driven decisions across teams.

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 team of data scientists to drive user growth through insights and strategic initiatives, collaborating with cross-functional partners.

Lead data engineering projects within the Sales Analytics team at Visa, developing complex data solutions for business intelligence, creating scalable data pipelines, and ensuring high data quality. Engage with various teams to support initiatives and empower business insights.

Lead data strategy for a cyber insurance platform, managing data flows, integrations, governance, and analytics while mentoring a data engineering team.

Lead efforts to define and govern reference data assets, ensuring compliance and accuracy across Visa's systems while driving automation and collaboration.

Manage the rollout of Oracle EPRCS, lead transitions from legacy reporting tools, evaluate data integration, ensure data integrity, and oversee system access across Oracle platforms.

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 data science and analytics team for Netflix's game product and platform. Responsible for measurement, experimentation strategies, and coaching the team to deliver insights vital for games strategy.

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

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

Oversee the enterprise data hub, manage data governance strategies, implement best practices for data modeling, deliver GTM-ready data, and lead a team of data engineers to leverage AI and advanced analytics for business impact.

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.