Top Data Management Jobs in Los Angeles, CA

Manage projects and teams to leverage data and technology in M&A, driving strategic insights and improving deal decisions through advanced analytics and AI.

Lead a data science team to optimize ad ranking and marketplace efficiency, develop data-driven strategies, and deliver actionable insights.

The Data Manager will support partners by addressing data needs, managing issues, and implementing best practices for effective data use in civic engagement campaigns.

Lead and manage a team of data engineers, oversee data warehouses and pipelines, ensure scalable data architecture, and foster partnerships with data analysts and scientists.

As a Senior Data Product Manager, oversee data product execution, ensure quality for lunar resource mapping, collaborate with stakeholders, implement cybersecurity, and manage public data releases.

The Advanced Analytics Manager leads a data engineering team, overseeing the architecture of data pipelines and infrastructure while driving analytics strategies and promoting a data-first culture within the organization.

Oversee clinical data management for global trials, ensuring quality and compliance. Lead teams, manage timelines, and mentor junior staff.

As a Manager of Data Analytics, you will address complex data issues, collaborate with teams to develop insights and reporting, and aid in data-driven decision-making within the Network team.

The Master Data Manager leads master data strategy and governance, ensuring data quality and compliance across the organization, while managing a team and engaging stakeholders.

Manage complex data processes and projects within the healthcare sector, leading cross-functional teams and driving strategic goals.

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

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 Manager, Data Analysis oversees centralized monitoring for clinical trials, ensuring effective RBQM systems, data analysis, and reporting while collaborating with cross-functional teams.

Lead clinical data management for studies, oversee CROs, ensure data quality, coordinate data review, and assist in clinical system implementations.

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.

This role involves leading data projects, managing analytics, delivering insights, and mentoring team members while collaborating on data strategies for clients.

Manage marketing data systems, track pipeline and revenue analytics, ensure data quality, and provide proactive insights. Collaborate with cross-functional teams to align on metrics and reporting.

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.

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

Lead the Data and Intelligence function by overseeing data lifecycle management, developing matching algorithms, ensuring data hygiene, and implementing brand safety models to optimize creator-brand outcomes.