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

The Data Operations Manager will lead a team of Data and Software Engineers, optimizing data infrastructure for business intelligence and analytics while ensuring data reliability and accessibility across the organization.

Zeta Global seeks a Senior Manager, Data Cloud Consulting to provide strategic guidance on paid media and CRM to clients, develop marketing strategies, and manage analytics roadmaps. The ideal candidate will have extensive experience in data-driven strategy consulting and marketing.

The Senior Clinical Data Manager will oversee clinical trial databases, ensuring adherence to timelines, quality of deliverables, and coordination among study teams. Responsibilities include database design, project oversight, training, and resolving data issues.

Lead and mentor a team of data analysts, drive data analytics strategy, ensure data quality and governance, and deliver actionable insights across business functions.

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

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

The Data & Operations Reporting Manager provides strategic oversight for reporting tools, ensures report accuracy, engages stakeholders, manages data supply chain, and oversees solution implementation.

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

Lead and manage data analysis projects at Pfizer, utilizing strong communication and analytical skills to improve processes and guide operational teams.

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.

Lead and develop a team of analysts in delivering high-quality data management and visualization. Utilize BI tools and manage data workflows effectively.

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.

As Data Analytics Manager, you'll lead analytics initiatives driving business decisions, mentor a team, and enable self-service reporting through tools like Power BI.

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 Sr. Manager of Master Data Management leads the data management team, ensuring data integrity and governance, overseeing master data and pricing processes, and driving cross-functional collaboration to solve complex data challenges.

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.