Top Senior 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.

Leads Honeywell’s enterprise data strategy, governance framework, stewardship, quality, master data management, and transactional data initiatives. The role establishes data ownership, standards, KPIs, lineage, and remediation processes while supporting SAP S/4HANA transformation, AI, analytics, and digital modernization. Responsibilities include executive stakeholder partnership, governance forums, organizational change, data literacy, and leadership of data governance and quality professionals across a complex global organization.

Lead Honeywell’s enterprise data strategy and governance framework across business units and functions. Establish data ownership, stewardship, quality standards, master data management, metadata, lineage, and governance operating models. Oversee enterprise data roadmaps, transformation initiatives including SAP S/4HANA modernization, AI enablement, executive governance forums, organizational change, and a team of data professionals.

Lead enterprise data governance and master data management, initially focusing on Stibo Systems workflows for vendor, product, and customer domains. Map master-data processes across multiple ERP systems, identify control gaps and manual touchpoints, redesign workflows for governance and automation, and establish policies, stewardship models, data-quality controls, metadata practices, and decision rights. Partner with business, IT, compliance, security, and analytics stakeholders while reporting governance maturity, risks, and data-quality trends.

The Senior Director Analyst in MDM leads research and advisory functions, focusing on Master Data Management strategies and providing clients with actionable insights to enhance their data initiatives. This role requires strong analytical skills and the ability to communicate complex concepts effectively.

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.

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.

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.