JOB TITLE: Data Manager

LOCATION: Bethesda, Maryland

CLEARANCE: Current Top Secret / SCI with Polygraph

EDUCATION: BA/BS and 8+ years of experience supporting data management, data governance, data integration, or enterprise data environments; or no degree and 12+ years of relevant experience.

JOB DESCRIPTION:
• Establish, maintain, and improve enterprise data lifecycle processes, including data ingestion, storage, usage, archival, and retention practices.
• Support enterprise data governance initiatives by defining and maintaining data standards, validation rules, metadata management practices, and quality control procedures.
• Integrate disparate data sources and artifacts across federated systems to support interoperability and mission requirements.
• Support the development, maintenance, and optimization of enterprise data repositories and storage environments.
• Conduct data quality assessments and implement standardized processes to improve data reliability and minimize manual intervention.
• Perform configuration management and controlled documentation reviews to ensure alignment, traceability, consistency, and version control across data assets and engineering documentation.
• Analyze enterprise data structures, policies, and workflows to identify opportunities for improved accessibility, efficiency, and reliability.
• Develop and maintain documentation, reports, briefing materials, and technical artifacts related to data governance, repository management, and integration activities.
• Support integration of new data models, standards, schemas, and artifacts into existing enterprise environments.
• Collaborate with engineering, operations, and stakeholder teams to support evolving mission and program data requirements.
• Provide recommendations to improve enterprise data architecture, governance policies, interoperability standards, and repository performance.
• Communicate technical findings and recommendations clearly through written documentation, visual presentations, and verbal briefings suitable for both technical and non-technical audiences.

REQUIRED QUALIFICATIONS:
• Current Top Secret / SCI (Tier 5+) with Polygraph clearance.
• Experience supporting enterprise data life-cycle management processes and data governance initiatives.
• Experience with data integration, interoperability, metadata management, and repository administration.
• Knowledge of configuration management principles, version control practices, and documentation governance.
• Experience developing and maintaining technical documentation, reports, and briefing materials.
• Proficiency with data management and analysis tools such as SQL, Python, Excel, Access, or equivalent technologies.
• Experience supporting enterprise data repositories, storage environments, or data management platforms.
• Ability to analyze data-related processes and recommend improvements to data quality, accessibility, and operational efficiency.
• Strong written and verbal communication skills with the ability to present technical concepts to diverse stakeholder audiences.
• Demonstrated ability to work independently and collaboratively within a fast-paced mission environment.

DESIRED QUALIFICATIONS:
• Experience supporting Intelligence Community programs or other federal government environments.
• Familiarity with data governance frameworks, metadata standards, and enterprise data management best practices.
• Hands-on experience with Jira, Confluence, or other collaboration and configuration management tools.
• Experience supporting cloud-based data environments and enterprise storage architectures.
• Familiarity with automation processes that improve data validation, ingestion, and reporting workflows.
• Experience supporting configuration control boards, technical review processes, or engineering documentation management.
• Understanding of enterprise interoperability standards and data exchange methodologies.
• Experience with the following Work Products preferred:
o Data Management Lifecycle Documentation
o Data Governance and Quality Plans
o Data Integration and Interoperability Plans
o Data Repository and Infrastructure Documentation
o Configuration Management and Documentation Review Reports
o Data Standards and Architecture Recommendations
o Data Performance and Reliability Reports