Data Manager

Signature Federal Systems , LLC; McLean (VA); On-site; USD 120,000 - 180,000; Full time

Job summary

Signature Federal Systems, LLC is seeking a data governance and data lifecycle specialist in McLean, VA to lead enterprise data standards, metadata, and quality initiatives. You will integrate sources across federated systems, optimize repositories, and craft governance policies for mission critical data.

The role requires TS/SCI with Polygraph clearance and a strong ability to communicate complex concepts to technical and nontechnical stakeholders.

Qualifications

• Requires BA/BS and 7+ years of experience in data management, data governance, data integration, or enterprise data environments; or 12+ years of relevant experience without degree.
• TS/SCI with Polygraph clearance required.
• Experience with enterprise data lifecycle management, governance initiatives, and repository administration.
• Proficiency with data management tools such as SQL, Python, Excel, Access, or equivalents.
• Experience supporting data repositories, storage environments, or data management platforms.

Responsibilities

• Establish and improve enterprise data lifecycle processes including ingestion, storage, usage, archival, and retention.
• Support data governance by defining standards, metadata, validation rules, and quality control.
• Integrate disparate data sources across federated systems to support interoperability.
• Develop and optimize enterprise data repositories and storage environments.
• Conduct data quality assessments and standardize processes to improve reliability.
• Perform configuration management and documentation reviews for traceability and version control.
• Analyze data structures, policies, and workflows to improve accessibility and efficiency.
• Create documentation, reports, and briefing materials on data governance and integration.
• Support integration of new data models, schemas, and artifacts into enterprise environments.
• Collaborate with engineering, operations, and stakeholders to meet evolving data requirements.
• Provide recommendations to improve data architecture, governance policies, and repository performance.
• Communicate findings clearly through written and verbal briefings for diverse audiences.

Education

Bachelor's degree in a related field

12+ years of relevant experience without degree

Tools

SQL

Python

Excel

Access

Job description

Responsibilities

• 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

• Requires BA/BS and 7+ years of experience supporting data management, data governance, data integration, or enterprise data environments; or no degree and 12+ years of relevant experience.
• TS/SCI with Polygraph clearance required.
• Experience supporting enterprise data lifecycle 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.

Work Products

• Data Management Lifecycle Documentation
• Data Governance and Quality Plans
• Data Integration and Interoperability Plans
• Data Repository and Infrastructure Documentation
• Configuration Management and Documentation Review Reports
• Data Standards and Architecture Recommendations
• Data Performance and Reliability Reports