Top Data Management Jobs in San Francisco Bay Area, CA

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.

The Manager, Data Management & Visualization will lead a team, managing data workflows, ensuring data accuracy, and applying taxonomy structures for effective reporting.

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

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

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 Data Services Manager will oversee data movement and processing, ensuring accurate data for mail files, handling file conversions, data cleansing, and providing analytical reports. The role involves collaborating with clients and teams to troubleshoot and address data-related issues.

Lead stewardship of Pharma R&D data, ensuring data quality and compliance, mentor teams, and collaborate with governance and data product teams for best practices.

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.

The Director of Data Services & Analytics oversees ConnectWise's data ecosystem, including advanced analytics and AI/ML initiatives, while aligning data strategy with business goals and building a high-performing team.

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

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.

The Data Science Manager will oversee data science solutions, manage a data scientist, implement predictive models, and ensure data security.

The role involves leading enterprise reporting and analytics by driving alignment, managing data flows, delivering predictive insights, and assessing business needs for strategic decisions.

The Fundraising Data Manager will manage data processing for clients, develop custom SQL scripts, create reports, and manage client CRM.

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.

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

The Sr. Data Engineering Manager leads data management strategy focusing on AWS solutions, ensuring data governance and quality across various domains while managing a team.

The Manager, Data Migration will oversee data collection, migration planning, and work with engineers on data translation and operations, while building a data migration team.

The FP&A Manager will lead budgeting, forecasting, and implement AI-driven automation to enhance finance processes in a retail environment.

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