Data Governance Specialist
About The Position
We are seeking a highly skilled and innovative Data Governance Specialist to join our team in the greater DMV area, supporting the Army National Guard. Responsibilities Maintain and update data catalogs, business glossaries, metadata repositories, and classification tags to ensure authoritative metadata across enterprise datasets. Execute routine data validation and quality checks; monitor data quality dashboards and document issues impacting accuracy, completeness, and consistency. Apply governance standards, naming conventions, reference data updates, and schema/documentation per approved policies and procedures. Support stewardship processes by coordinating with data stewards, system owners, and analytics teams to clarify business rules, data lineage, and source definitions. Track governance workflows, prepare meeting materials, capture minutes and action items, and maintain evidence of governance activities for auditability. Produce routine governance reports, data quality summaries, and metadata status updates for program leadership and stakeholders. Support compliance activities by maintaining lineage diagrams, documenting data‑handling requirements, and preserving RMF/privacy evidence as required. Contribute to process improvement: refine governance documentation, update procedures, and assist adoption of governance tools and automation to improve data integrity and availability. #ENOCS Qualifications Qualifications 2 years with BS/BA; 0 years with MS/MA; 6 years with no degree Clearance: Active TS/SCI clearance. Candidate must meet ONE of the following: Bachelor’s degree in Data Science, Computer Science, Mathematics, or a related field; OR Relevant DoD/military training (example: Army Data Literacy Course); OR Relevant professional certification or equivalent experience (examples: CompTIA Data+, Microsoft Certified: Azure Data Engineer Associate, DAMA CDMP). Required experience and skills: Experience in data governance, data stewardship, data management, or related roles supporting enterprise data programs. Practical experience maintaining metadata catalogs, data dictionaries, lineage, and reference data. Proficiency with governance/catalog tools or platforms, and familiarity with data quality frameworks and dashboarding. Strong documentation skills, attention to detail, and ability to produce audit‑quality evidence and governance reports. Ability to coordinate across technical and business stakeholders to resolve data quality issues and enforce governance standards. Desired: Prior DoD/ARNG or large‑enterprise data governance experience. Familiarity with RMF/privacy evidence needs, data classification controls, and integration of governance with analytics and security workflows. Experience with automation for metadata harvesting, data quality testing, or governance workflow tooling. #ENOCS Peraton Overview Peraton is a next-generation national security company that drives missions of consequence spanning the globe and extending to the farthest reaches of the galaxy. As the world’s leading mission capability integrator and transformative enterprise IT provider, we deliver trusted, highly differentiated solutions and technologies to protect our nation and allies. Peraton operates at the critical nexus between traditional and nontraditional threats across all domains: land, sea, space, air, and cyberspace. The company serves as a valued partner to essential government agencies and supports every branch of the U.S. armed forces. Each day, our employees do the can’t be done by solving the most daunting challenges facing our customers. Visit peraton.com to learn how we’re keeping people around the world safe and secure.
Requirements
- 2 years with BS/BA; 0 years with MS/MA; 6 years with no degree
- Clearance: Active TS/SCI clearance.
- Candidate must meet ONE of the following:
- Bachelor’s degree in Data Science, Computer Science, Mathematics, or a related field; OR
- Relevant DoD/military training (example: Army Data Literacy Course); OR
- Relevant professional certification or equivalent experience (examples: CompTIA Data+, Microsoft Certified: Azure Data Engineer Associate, DAMA CDMP).
- Experience in data governance, data stewardship, data management, or related roles supporting enterprise data programs.
- Practical experience maintaining metadata catalogs, data dictionaries, lineage, and reference data.
- Proficiency with governance/catalog tools or platforms, and familiarity with data quality frameworks and dashboarding.
- Strong documentation skills, attention to detail, and ability to produce audit‑quality evidence and governance reports.
- Ability to coordinate across technical and business stakeholders to resolve data quality issues and enforce governance standards.
Nice To Haves
- Prior DoD/ARNG or large‑enterprise data governance experience.
- Familiarity with RMF/privacy evidence needs, data classification controls, and integration of governance with analytics and security workflows.
- Experience with automation for metadata harvesting, data quality testing, or governance workflow tooling.
Responsibilities
- Maintain and update data catalogs, business glossaries, metadata repositories, and classification tags to ensure authoritative metadata across enterprise datasets.
- Execute routine data validation and quality checks; monitor data quality dashboards and document issues impacting accuracy, completeness, and consistency.
- Apply governance standards, naming conventions, reference data updates, and schema/documentation per approved policies and procedures.
- Support stewardship processes by coordinating with data stewards, system owners, and analytics teams to clarify business rules, data lineage, and source definitions.
- Track governance workflows, prepare meeting materials, capture minutes and action items, and maintain evidence of governance activities for auditability.
- Produce routine governance reports, data quality summaries, and metadata status updates for program leadership and stakeholders.
- Support compliance activities by maintaining lineage diagrams, documenting data‑handling requirements, and preserving RMF/privacy evidence as required.
- Contribute to process improvement: refine governance documentation, update procedures, and assist adoption of governance tools and automation to improve data integrity and availability.
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
