Top Data Management Jobs in Atlanta, GA

Lead company-wide data governance and standards, enforce data contracts and schema/version control, manage PII/RBAC and master data, establish data-quality metrics and monitoring, grow and run the governance team, remain hands-on with data profiling and SQL, and use AI to accelerate governance work and modeling.

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

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

The Data Analyst will conduct full lifecycle analysis, develop reporting capabilities, monitor performance, and identify improvements in data quality and efficiency.

The Data Management Analyst supports data projects and synchronization across platforms, analyzes business processes, ensures data integrity, and manages data load processes. Responsibilities include creating queries, project coordination, data testing, and refining data stewardship practices.

Lead design and execution of enterprise data governance and MDM strategy. Establish policies, stewardship, ownership models; drive data quality, metadata, reference data, lifecycle management; partner with business, IT, compliance and analytics; implement governance/MDM tools; monitor KPIs, report maturity and risks; promote continuous improvement.

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.

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.

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.

The Information Management Engineer will oversee metadata management, master data models, integration pipelines, and data governance efforts, primarily utilizing Azure and GCP platforms.

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.