Top Data Management Jobs in Washington, DC

Analyzes and visualizes Tech Refresh data for an Intelligence Community customer. Responsibilities include assessing data quality, identifying trends and patterns, preparing stakeholder reports, recommending automation and process improvements, supporting data governance, and collaborating with engineers, programmers, and management on system modifications and operational decisions.

Leads the organization’s spatial data capability by defining governance, standards, quality processes, and scalable delivery methods. Connects occupancy, utilization, and workplace data to business and real estate decisions; partners with technology teams on platform implementations and modernization. Advises clients, develops playbooks and thought leadership, improves service consistency, and supports practice growth through cross-functional, global leadership.

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 Manager, Data Management leads a firm-wide data management program, ensuring data quality and accountability across master data domains while partnering with stakeholders and managing staff.

Lead data architecture consulting engagements, pursuit teams, client workshops, proofs of concept, and complex solution delivery. Design modern data architectures, integrate third-party platforms, create implementation roadmaps, and translate technical concepts for executive and technical audiences. Manage globally distributed teams, provide mentorship and thought leadership, support sales pursuits, and advise clients on data governance, quality, cataloging, lineage, master data management, cloud platforms, modernization, scalability, security, and AI-enabled solutions.

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.

Leads grants management data analysis, reporting, governance, quality assurance, database maintenance, system testing, and records management. Develops reports, SOPs, training, project documentation, and process improvements while supporting pre- and post-award federal grants activities. Serves as the data and systems liaison between functional and technical teams, collaborates with project managers, and supports Head Start grant systems and client deliverables.

Analyze and integrate grants management data from multiple sources; maintain databases and systems; develop reports, presentations, dashboards, and visual data stories; lead data validation, testing, documentation, and process improvement; support federal grants activities, trainings, reporting, and system administration for the Office of Head Start.

Manage and administer authoritative databases and shared datasets, design data models, build ETL processes, enforce data quality, document data flows, optimize datasets for reporting and Power Platform, and support migrations, performance tuning, and data issue resolution.

Lead HR-focused data management, governance, analytics, and visualization efforts for a public diplomacy office. Consolidate and clean HR datasets, define data requirements and governance, develop interactive dashboards (Tableau/Power BI), provide insights to leadership, advise on data policies, and build data literacy across stakeholders.

Support data validation, cleansing, metadata and records management for Head Start grant recipients. Maintain data processes, run basic SQL queries, produce reports, monitor data quality metrics, manage document repositories, support data governance and compliance, and collaborate with stakeholders to resolve data issues and improve workflows.

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.

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.

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 science data and knowledge management at Audubon, enhancing data accessibility and usage across various scientific programs while collaborating with IT and Conservation Teams.

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 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.