Top Data Management Jobs in San Diego, CA

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

Leads enterprise core data management by defining standards for data, metadata, modeling, and quality; driving governance adoption; and delivering trusted, AI-ready datasets. Oversees data operations, service levels, documentation, metrics, risk management, and continuous improvement. Partners with engineering, business teams, vendors, and senior stakeholders while leading and developing Associate Directors and distributed teams.

Lead data architecture pursuits and complex client engagements, including workshops, requirements analysis, future-state architecture, implementation roadmaps, platform integration, and proof-of-concept development. Communicate complex solutions to technical and executive audiences, lead globally distributed teams, modernize legacy architectures, and provide thought leadership across data management, governance, modeling, cloud, and analytics technologies.

Conduct research and provide strategic advice on HR technology, data governance, HCM systems, and AI’s impact on HR. Develop thought leadership, market analysis, presentations, and client recommendations for CHROs and HR technology leaders. Track vendors and emerging technologies, support sales and conferences, review peer content, improve research processes, and mentor junior analysts. The role requires executive presence, strong analytical and communication skills, and collaboration with global clients, including at least 6–8 hours monthly supporting Asia-Pacific organizations.

Senior leader who defines and drives enterprise data governance and enablement strategy, partners with executives and cross-functional teams, leads readiness and impact analyses, sponsors governance programs, directs communications and training, monitors adoption metrics, and oversees multi-year data initiatives to ensure regulatory and policy compliance.

Perform data extraction, integration, profiling, and analysis across Molina systems and external sources. Produce data quality controls, KPIs, reports, and recommendations; support root cause investigations, ad hoc requests, and data governance initiatives.

Design, develop, maintain, and optimize enterprise Tableau dashboards and BI solutions. Integrate and cleanse data from Oracle/Sybase/Big Data, tune SQL, automate Tableau extracts, manage Tableau Server on Linux, support testing, UAT, deployments, and troubleshoot data integrity and performance issues.

Lead end-to-end delivery of large analytics and data management programs, manage multi-workstream teams, enforce governance and best practices, liaise with senior client stakeholders, mentor global teams, and drive account growth through opportunity mining and solution shaping across cloud data platforms and modern data-stack initiatives.

Design, validate, and deliver enterprise modern data management platforms (lakehouse, open table formats, object storage) with governance, compliance, streaming pipelines, metadata/catalog integration, federated query, and AI-ready data foundations. Build reference architectures, run POCs/labs, produce customer-facing guidance, and partner across product, engineering, and field teams to enable production-grade, compliant data solutions.

Architect and deploy scalable Inventa data-management solutions, lead complex enterprise integrations (APIs, on-prem, cloud, SaaS, data lakes), resolve architectural performance and access issues, create global architecture guides and documentation, and feed product improvements through field insights. Customer-facing, cross-functional collaboration with Sales, Customer Success, and Product.

Lead development and execution of enterprise data management strategy, governance, and quality. Oversee MDM, metadata, data lineage, catalogs, lifecycle, profiling, cleansing, and compliance. Partner with engineering, analytics, and security to deliver reliable data platforms, KPIs, and mentor a data management team.

Lead integration of technology into information systems, design data warehouse and BI capabilities, define data architecture and dictionaries, centralize disparate data, design dashboards, document system architecture, perform data quality and management, and provide solution engineering, pilots, and enablement for analytics and resource management.

Lead enterprise data governance, quality, MDM, cleansing, validation, reconciliation, and migration efforts to support ERP implementations and large transformation programs. Develop governance frameworks, coordinate data readiness and testing, produce executive reporting and presentations, manage project plans and governance artifacts, and drive stakeholder alignment and change management.