Top Data Management Jobs in Atlanta, GA

Lead data governance for assigned domains: implement policies, monitor and remediate data quality, perform profiling and lineage documentation, track data quality KPIs, partner with stakeholders to embed standards, and support MDM and governance training.

This role involves leading data and analytics initiatives, partnering with business stakeholders, and managing global data warehouse responsibilities in insurance.

Data Analyst II identifies and models logistical and operational data to support decision-making, collaborating with teams and developing readiness models under moderate supervision.

Lead development of provider data products and ML-based decision support, manage provider data quality, collaborate across teams to build provider-facing analytics, and establish MLOps standards and governance.

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

Lead design and implementation of an enterprise MDM program (Customer, Supplier, Legal Entity). Drive cross-functional alignment, change management, governance, tool selection/integration, KPIs, and partnerships with Digital Technology and vendors to ensure data consistency and operational adoption.

Lead scaling of a commercial channel data management platform for oncology/hematology. Manage vendor and data provider relationships, design data pipelines and governance, improve data quality, oversee data aggregation and provisioning for commercial insights, and ensure compliance, security, and documentation.

Lead design, planning, execution, and quality oversight of clinical trial data management (Phase I-IV). Manage CROs and vendors, ensure EDC/eCRF/ CDM standards, support database locks/snapshots, collaborate with Biostatistics/Programming and other functions, and maintain regulatory-ready documentation for submissions.

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.

Lead BI engineer responsible for designing and implementing data collection, transformation, and QA processes to ensure compliant encounter submissions. Build scalable code, dashboards, and automations, perform root-cause analyses, present insights to partners, lead projects, and mentor junior team members while advancing data governance and continuous improvement.

The Head of Master Data Management leads MDM initiatives, data governance, and team management, aligning strategies with business objectives.

The Senior Specialist will develop and validate data extracts, curate T-SQL queries, and collaborate with teams to support healthcare analytics and operational needs.

Lead the development of a global attribution strategy, manage data product requirements, and facilitate cross-functional collaboration to enhance measurement practices.

The Product SME specializes in enhancing revenue cycle performance through data analysis, automation, and denial prevention strategies, collaborating with stakeholders to design and implement best practices.