Top Data Management Jobs in Washington, DC

Responsible for analyzing Tech Refresh data, providing recommendations for automation, improving data management, and preparing reports for management using statistical tools.

The Director of Data Governance will oversee data governance strategies, quality, and compliance policies across Deckers Brands, collaborating with teams to enhance data management practices.

The Business Systems Analyst leads user needs collection, manages requirements, documents business operations, and drives data standards implementation, requiring a TS/SCI clearance and extensive data governance experience.

Lead data governance for assigned domains: implement policies, monitor and remediate data quality, perform profiling and lineage documentation, track data quality KPIs, partner with stakeholders to embed standards, and support MDM and governance training.

Data Analyst II identifies and models logistical and operational data to support decision-making, collaborating with teams and developing readiness models under moderate supervision.

Lead development of provider data products and ML-based decision support, manage provider data quality, collaborate across teams to build provider-facing analytics, and establish MLOps standards and governance.

The Senior Data Management Consultant will enhance data-driven decision-making for DSCA by analyzing business management services, improving data management systems, and supporting strategic planning.

Provide pre-sales technical leadership for field sales: design and validate data management and analytics solutions, lead POCs/demos, perform systems integration, and advise on cloud data platforms, unstructured data processing, RAG/GenAI, ETL/ELT, governance, BI and ML workflows.

The Associate Director, Finance Data Management oversees data lifecycle management, supports finance strategy, and implements government policies within the finance organization.

Implement and enforce data governance, manage data cataloging and metadata, facilitate Atlan adoption, align data models with analytics needs, manage controls and audits, mentor junior staff, and resolve data quality issues while collaborating with business and engineering teams.

Lead scaling of a commercial channel data management platform for oncology/hematology. Manage vendor and data provider relationships, design data pipelines and governance, improve data quality, oversee data aggregation and provisioning for commercial insights, and ensure compliance, security, and documentation.

Lead design, planning, execution, and quality oversight of clinical trial data management (Phase I-IV). Manage CROs and vendors, ensure EDC/eCRF/ CDM standards, support database locks/snapshots, collaborate with Biostatistics/Programming and other functions, and maintain regulatory-ready documentation for submissions.

Lead oversight of data management for assigned studies, manage external vendors, review and approve DM documentation, perform secondary UAT of EDC, implement RBQM oversight, and provide cross-functional input on protocols and study deliverables to ensure data quality and regulatory compliance.

Lead BI engineer responsible for designing and implementing data collection, transformation, and QA processes to ensure compliant encounter submissions. Build scalable code, dashboards, and automations, perform root-cause analyses, present insights to partners, lead projects, and mentor junior team members while advancing data governance and continuous improvement.

The Senior Specialist will develop and validate data extracts, curate T-SQL queries, and collaborate with teams to support healthcare analytics and operational needs.

Lead the development of a global attribution strategy, manage data product requirements, and facilitate cross-functional collaboration to enhance measurement practices.

The Product SME specializes in enhancing revenue cycle performance through data analysis, automation, and denial prevention strategies, collaborating with stakeholders to design and implement best practices.