Top Remote Data Management Jobs in Los Angeles, CA

The Senior Manager of Data Engineering will build a data platform, lead a team, and ensure data accessibility to support AI and business operations.

The role involves managing Data Success Managers, overseeing data operations, supporting partners, and improving team workflows to deliver quality service.

Lead a team of data and infrastructure engineers to develop cloud-based data systems and solutions for analytics, ensuring best practices in data management and MLOps.

Oversee data ingestion and transformation, manage finance data sources, ensure scalability and reliability of data platforms, and collaborate with stakeholders to align data engineering with organizational goals.

Lead the data engineering team, develop and maintain data models and pipelines for risk domains, and manage data quality and governance.

Manage SoFi's enterprise TPRM platforms, optimizing workflows, delivering data analytics reports and dashboards, and enhancing risk intelligence for decision-making.

Lead a team of data engineers to design scalable data pipelines, ensure data quality, and collaborate with cross-functional teams to drive innovative data solutions in healthcare.

Manage Finance-focused data products, collaborating with teams to define requirements and drive delivery for financial analysis and reporting.

Lead data management for complex global clinical trials, ensuring quality and compliance while mentoring staff and driving process improvements.

Oversee design, build, and maintenance of data pipelines and architectures, ensuring data reliability and supporting analytics and reporting needs.

Lead and manage a team of data engineers to develop and maintain data pipelines and warehouses, ensuring data quality and adherence to best practices.

The role involves leading the data governance team, managing IT projects, collaborating with stakeholders, and ensuring continuous improvement of processes. Responsibilities include strategic planning, client management, and optimizing resource utilization, while overseeing governance activities and departmental management.

The Manager, Marketing Data Analytics will develop and manage marketing analytics solutions, ensuring reliable insights across teams, improving data quality, and driving B2B SaaS growth.

Manage CVS Health's data partnerships and monetization strategy, source new partnerships, ensure operational success, and drive data product adoption across analytics teams.

Serve as the primary data partner for Fundraising & Marketing: design and build source-of-truth data models in the lakehouse, create forecasts and donor cohort analyses, automate reporting and data products, support experiment design and ROI measurement, partner with engineering and Salesforce to improve data quality, and translate insights for leadership to drive fundraising strategy.

As Senior Manager of IT Commercial Data Management, you will lead data initiatives, manage product ownership, and develop data governance strategies in collaboration with stakeholders, ensuring high data quality and analytics capabilities.

The Senior Manager, Performance Data Operations leads the Population Health Impact team, driving performance improvement initiatives, building complex datasets, and communicating insights to stakeholders. Responsibilities include data analytics, program management, and fostering cross-functional relationships.

The Senior Manager, Data Stewardship leads data stewardship initiatives, enhances data quality, governance, and collaborates with various teams to improve data management capabilities.

The Manager of Data Visualization will lead BI initiatives, drive advanced analytics strategies, manage reporting frameworks, automate processes, and mentor teams to enhance data-driven decision-making using data visualization tools and AI-driven analytics.

The Data Engineer will develop ETL/ELT pipelines, manage data workflows for AI applications, and optimize data integration and storage in GCP.

Manage data engineering efforts to build scalable data infrastructure. Optimize data warehouses, automate reporting, and translate business needs into data solutions.

The role focuses on business analysis and project management, emphasizing analytics and reporting in an Agile environment. Responsibilities include requirements elicitation, solution design, project coordination, and stakeholder engagement to meet business goals in the pharmaceutical sector.

Lead a team of ~7 data scientists to deliver timely, accurate product analytics and experimentation insights; manage people, mentor staff, partner with product and engineering, and build accessible data products and measurement practices.

The Clinical Data Manager will oversee clinical trial data management activities, ensuring data accuracy, integrity, and compliance with regulatory standards while coordinating with cross-functional teams.

The Data Product Manager will oversee the firmographic data foundation, improving data accuracy, structure, and analytics capabilities to enhance talent acquisition and analytics solutions for clients.