Top Data Management Jobs in Atlanta, GA

Leads data architecture consulting engagements, presales pursuits, client workshops, solution design, platform integration, proof-of-concept development, implementation roadmaps, and globally distributed teams. The role requires expertise in data management, governance, modeling, cloud platforms, data warehouses and lakehouses, legacy modernization, and communicating complex architectures to executive and technical audiences. Travel up to 25% or more may be required.

Leads Gartner research and thought leadership on data management, governance, and AI. Develops actionable insights, analyzes market trends, advises executive clients, delivers presentations, supports sales and conferences, reviews content, improves research processes, and mentors analysts. Requires deep expertise in data and analytics, AI implementation, data security, data value creation, executive communication, research, and strategic analysis. Remote U.S. role with travel up to 25%.

Develop and maintain a Medicaid data governance program using Microsoft Purview. Build data catalogs, business glossaries, classifications, metadata, ownership assignments, and end-to-end lineage. Gather requirements, assess data management practices, identify security and compliance risks, and recommend governance, cataloging, integration, and data quality improvements. Produce a Medicaid Data Governance and Management Plan and monthly status reports while collaborating with state agency, IT, and technical stakeholders.

Supports client projects by creating metadata, writing and testing R syntax, cleaning and recoding survey data, performing statistical operations, reviewing code and outputs, documenting data-management processes, and troubleshooting errors. The role requires independent task management, technical communication, quality control, and collaboration on federally contracted projects involving sensitive information.

The Senior Data Analyst supports Risk Management and Compliance reporting by collecting, validating, analyzing, and modeling data. The role develops dashboards, reports, visualizations, governance practices, and automation using SQL, Excel, Power BI, SSAS, and VBA. Responsibilities include data quality management, systems testing, requirements documentation, UAT support, executive presentations, risk insights, stakeholder collaboration, process improvement, and mentoring junior analysts.

Owns business intelligence and data management for investment operations, developing Power BI dashboards, DAX and Power Query models, Snowflake reporting data, and secure data access. Leads strategic business initiatives, workflow improvements, technology enhancements, AI and LLM automation, stakeholder reporting, vendor coordination, requirements gathering, and project execution. Serves as the subject matter expert for data, reporting, client portals, metrics, and internal technology initiatives.

Lead enterprise Master Data Management strategy, architecture, governance, data quality, and integration initiatives across customer, product, supplier, employee, and financial domains. Design data models, hierarchies, matching and survivorship rules, integration patterns, and implementation roadmaps. Advise clients on Oracle and Salesforce ecosystems, lead workshops and executive presentations, guide solution delivery, mentor consultants, and contribute to proposals and statements of work.

Leads enterprise Master Data Management operations across Customer, Vendor, Material, and Reference Data domains. Manages an MDM team, platform reliability, data models, match-merge and survivorship rules, golden records, hierarchies, stewardship workflows, governance integration, and cross-region harmonization. Partners with Data Engineering, Data Governance, and business stakeholders to deliver reliable, governed data for analytics, reporting, and AI. Oversees team development, performance, capacity planning, architecture reviews, and audit support.

Own enterprise data governance, metadata, lineage, data quality, master data, GxP readiness, cloud data-layer standards, commercial data controls, partner data exchanges, and AI data governance. Lead federated stewardship, executive scorecards, architecture reviews, access models, vendor data governance, and regulatory readiness across clinical, commercial, and corporate data. Partner with Security, Legal, Privacy, Compliance, and QA while building accountable business ownership and trustworthy, rapidly accessible data.

Owns and leads commercial master data management across HCP, HCO, payer, patient, product, and organizational domains. Establishes governance frameworks, stewardship programs, data quality standards, matching and survivorship rules, and trusted golden records. Manages commercial data platforms, integrations, analytics datasets, releases, vendors, and offshore teams. Writes SQL, builds validations and data pipelines, troubleshoots integrations, supports commercial launches, and drives operational improvements across pharmaceutical commercial systems.

Leads Versapay’s enterprise data strategy, architecture, governance, quality, accessibility, and commercialization. The role unifies transactional and analytical data, establishes semantic models and data catalogs, enables secure AI and agentic capabilities, develops external data products, manages data platform costs, and leads teams across data engineering, analytics, BI, and platform operations. The Senior Director partners with executive, product, engineering, commercial, finance, legal, and compliance stakeholders.

Leads the architecture, implementation, and evolution of enterprise data platforms, including Master Data Management, data lakes, lakehouses, and cloud data services. Manages data engineers and developers, establishes engineering standards, oversees Azure-based integrations and pipelines, and owns data applications, databases, security, governance, and production support. The role also directs technical strategy, manages multiple initiatives, and communicates architecture and delivery plans to stakeholders.

Leads enterprise strategy, architecture, delivery, governance, and operations across data, analytics, information management, automation, AI, and GenAI. Drives transformation toward governed data foundations, reusable data products, data marketplaces, self-service analytics, and responsible AI. Oversees platforms, pipelines, dashboards, automation initiatives, budgets, vendors, and senior technical teams while partnering with business, Legal, Compliance, Quality, and Security. Builds training, adoption, stewardship, and change-management programs across a global life sciences organization.

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

Analyze and integrate grants management data from multiple sources; maintain databases and systems; develop reports, dashboards, presentations, and visual data stories; support data validation, testing, training, and process improvement. The role also supports pre- and post-award Head Start grants activities, including reporting, metrics quality control, application screening, funding slates, correspondence, and closeout functions.

Leads grants management data analysis, reporting, governance, quality assurance, database maintenance, testing, and metadata management. Supports pre- and post-award grant activities, develops reports, SOPs, training, and QC procedures, and coordinates with functional, technical, project, and client teams. Maintains project documentation, timelines, work plans, and grant systems while providing customer service to federal clients and grant recipients.

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.

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 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.