Top Data Management Jobs in Atlanta, GA

The VP of Alternative Data Strategy drives sourcing, prioritisation, and implementation of alternative datasets, aligning data opportunities with investment strategies and governing data usage across teams.

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.

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.

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.

Lead provider data management analysis and improvements: triage PDM issues, manage cross-functional projects, analyze healthcare datasets, optimize workflows, gather requirements, produce stakeholder presentations, and train end-users to ensure accurate provider information and process adoption.

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.

Support Head Start grant recipients by maintaining data quality, validating and cleansing datasets, managing metadata and document repositories, running basic SQL queries and using Excel/Smartsheet to generate reports. Monitor workflows, enforce data governance and records retention, resolve discrepancies, assist audits, and collaborate with stakeholders to improve processes and ensure confidentiality and compliance.

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

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.

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 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.

Senior individual contributor responsible for designing and aligning data solutions for commercial profitability and enterprise platforms. Translate business outcomes into scalable technical designs, guide development teams on best practices, ensure alignment with enterprise architecture and governance, standardize data models, and collaborate with product, finance, and technology stakeholders to deliver accurate, performant, and reusable data assets.