Top Remote Data Management Jobs in Los Angeles, CA

As a Curriculum Manager at DataCamp, you'll enhance the Data Science and Analytics curriculum by managing content development, recruiting instructors, and improving learning experiences through collaboration with various teams.

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.

The GTM Data Manager oversees data integration, quality assurance, and analysis to support revenue operations and strategic GTM planning.

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.

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.

Manage a team of data scientists to develop fraud detection models, mentor staff, and collaborate with leadership on solutions and product development.