Top Data Management Jobs in San Diego, CA

The Senior Analyst will consult with IT and business partners to improve commercial processes, document requirements, and support system integration, aiming to optimize data management and user adoption of technology.

Supervises Data Services team focusing on data engineering and operations, ensuring alignment with IT policies, data governance, and operational reliability of data products.

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

The Associate Director leads a data management team, ensures quality deliverables for clinical trials, manages vendor relationships, and implements process improvements across data management activities.

Support Enterprise Customer Communication data needs by designing, building, and automating data feeds for ZMP and Pega; gather requirements, maintain data quality, governance, metadata, testing, production support, and resolve data issues.

The Director of Data Management leads the design and governance of the enterprise data ecosystem, focusing on building a scalable data platform and integrating AI. Responsibilities include data architecture, automation, governance, and team leadership.

The Director of Data Quality and MDM Operations ensures trusted data across the enterprise through effective data quality and master data strategies, leading a team and collaborating with stakeholders to implement and improve data processes.

Support design and delivery of operational, analytical, and AI-ready data products across the full lifecycle: discovery, requirements, semantic modeling, data mapping, testing, deployment, governance, data quality, documentation, and adoption. Work with stakeholders, engineers, governance and AI teams to ensure reusable, trusted datasets and semantic layers; assist UAT, lineage, metadata, and change management, and use AI-assisted tools to accelerate analysis and product design.

The role involves creating impactful HR technology research, analyzing data governance, engaging clients, and mentoring team members, focusing on AI's influence in HR.

The Manager, Data Success Management oversees Data Success Managers, manages data operations, supports partners, improves workflows, and ensures data quality.

The Senior Manager, Clinical Data Management will oversee data management activities, ensuring data accuracy, coordinating study tasks, and managing relationships with CROs and vendors while utilizing clinical systems and AI tools for efficiency.

Lead oversight of data management for assigned studies, manage external vendors, review and approve DM documentation, perform secondary UAT of EDC, implement RBQM oversight, and provide cross-functional input on protocols and study deliverables to ensure data quality and regulatory compliance.

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.