Top Data Management Jobs in San Francisco Bay Area, CA

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 Engineering Manager will architect and optimize marketing analytics systems, oversee data pipeline integrations, and implement attribution methodologies, ensuring precise performance measurement.

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

The Environmental Data Manager will oversee environmental data management, including ETL operations, data validation, and compliance for environmental projects. Responsibilities include data entry and interactions with various personnel to ensure data quality and regulatory adherence.

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.

The Manager, Data Stewardship leads a team to ensure high-quality, well-defined business data in line with governance standards, focusing on metadata and data quality management.

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 Sr. Manager, Data Strategy & Acquisition leads data acquisition strategies, oversees vendor relationships, manages an offshore team, and ensures compliance with data governance, driving improvements and innovation in data processes.

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, 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 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 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.

Lead the Data Protection program at Netflix, focusing on data classification, retention, compliance, team development, and cross-functional collaboration to enhance data privacy and protect consumer data.

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

Lead AI and data initiatives to enhance marketing capabilities and drive growth. Collaborate across teams to optimize data usage for better performance and decision-making.

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

The Partner Performance Manager analyzes and optimizes partner performance using data, identifies growth opportunities, and collaborates with stakeholders to enhance partnership strategies.