Top Data Management Jobs in Charlotte, NC

The Manager, Data Governance will lead the implementation of data governance strategies to support AI and analytics, ensuring data quality, compliance, and ownership while promoting data literacy across the organization.

Lead configuration and sustainment of Apptio TBM models and Cloudability for technology cost transparency, allocations, and FinOps reporting. Manage data ingestion, transformations, allocations, reconciliations, controls, and runbooks. Translate business and finance needs into scalable models, APIs, and processes; validate reporting and support forecasting, subledger, and chargeback consumers. Drive automation, AI opportunities, and stakeholder guidance for repeatable, audit-ready financial and operational outputs.

The IT Audit Senior Manager leads data-related audits, guides teams on corrective actions, analyzes audit results, and develops audit reports while addressing complex problems and mentoring colleagues.

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

Lead the delivery of commercial data programs to enhance sales performance, collaborating with stakeholders to drive analytics initiatives and ensure data quality.

Lead data governance and management initiatives: define and implement data quality, metadata, and lineage controls; translate governance strategy into measurable plans; partner with stakeholders to remediate issues, track metrics, and deliver outcomes; support modern data platforms and AI readiness; present results to senior leadership.

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.

Lead definition and operationalization of enterprise data consumption and semantic layer standards across the Lakehouse. Build certified datasets, semantic models, and governed data products to enable consistent, high-performance reporting and self-service analytics across Tableau, Power BI, WebFocus and other BI tools. Partner with governance, define SLAs, and drive adoption, performance optimization, and a single source of truth for enterprise metrics.

Lead enterprise data governance, quality, MDM, cleansing, validation, reconciliation, and migration efforts to support ERP implementations and large transformation programs. Develop governance frameworks, coordinate data readiness and testing, produce executive reporting and presentations, manage project plans and governance artifacts, and drive stakeholder alignment and change management.

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.

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.