Data Governance Lead - Security Cooperation Data & Knowledge Management
- Compensation
- Not disclosed
- Location
- Arlington, Virginia, United States
- Work setup
- Not specified
- Seniority
- Lead
- Employment
- Not specified
- Experience
- 2+ years
- Category
- Data engineering
- Posted
Skills
Must have
- Hands-on experience establishing enterprise data governance and data stewardship models.
- 2+ years of experience in enterprise data management, data governance, or information management.
- Experience with AWS, Microsoft Purview, SharePoint Online, Power BI, and SQL.
- Experience with core data governance practices, including data governance frameworks, metadata management, data cataloging, data quality management, Master Data Management (MDM), information lifecycle
- Experience facilitating governance councils or executive working groups.
- Active Secret Security Clearance.
- U.S. Citizenship and eligibility to work in the United States.
Nice to have
- Bachelor's degree in Information Management, Data Science, Information Systems, Computer Science, Public Administration, International Relations, or a related field.
- 5+ years supporting Department of Defense or Federal Government programs.
- Experience supporting Security Cooperation organizations, including the Defense Security Cooperation Agency (DSCA), Geographic Combatant Commands, Military Departments, or Security Cooperation workfor
- Experience supporting Foreign Military Sales (FMS), Security Assistance, Institutional Capacity Building (ICB), or Building Partner Capacity (BPC) programs.
- Knowledge of one or more governance standards or frameworks, including DoD Data Strategy, DoD Digital Modernization Strategy, Federal Data Strategy, DAMA-DMBOK, DCAM, or NIST data management guidance.
- Preferred certifications include Certified Data Management Professional (CDMP), DAMA Certified Data Management Professional, Certified Information Professional (CIP), Security+, Certified Information
Full description
Position Summary
The Data Governance Lead is responsible for establishing and managing the enterprise data governance framework supporting a Department of Defense (DoD) Security Cooperation platform. This role ensures that data across Security Cooperation programs—including Foreign Military Sales (FMS), Building Partner Capacity (BPC), Institutional Capacity Building (ICB), International Military Education and Training (IMET), Humanitarian Assistance, and Security Cooperation workforce development—is trusted, secure, discoverable, and actionable.
The Data Governance Lead will develop governance policies, data standards, metadata management, taxonomy, master data management, and lifecycle processes that enable secure information sharing, artificial intelligence (AI), advanced analytics, and enterprise knowledge management. Working across functional and technical teams, the incumbent will facilitate governance councils, promote data stewardship, and ensure compliance with DoD cybersecurity, records management, and data strategy requirements.
This position plays a critical role in transforming fragmented information into a strategic enterprise asset that supports decision-making, operational readiness, partner nation engagement, and institutional learning across the Security Cooperation enterprise.
Essential Duties and Responsibilities
Enterprise Data Governance
- Develop and implement the enterprise Data Governance Framework for the Security Cooperation platform.
- Establish governance policies, standards, procedures, and operating models aligned with DoD data strategies.
- Lead governance activities that promote data quality, consistency, accessibility, and accountability.
- Develop governance maturity roadmaps and implementation plans.
- Facilitate cross-functional governance councils and working groups.
Data Stewardship
- Identify and establish business and technical data steward roles across Security Cooperation organizations.
- Define stewardship responsibilities and decision-making authorities.
- Coordinate stewardship activities to resolve data ownership and quality issues.
- Promote accountability for enterprise data assets.
Metadata & Taxonomy Management
- Develop and maintain enterprise metadata standards.
- Design and govern taxonomies, controlled vocabularies, ontologies, and tagging strategies.
- Ensure consistent classification of operational, instructional, and programmatic content.
- Support semantic search, AI-enabled discovery, and enterprise knowledge management.
Data Quality Management
- Define enterprise data quality standards and performance metrics.
- Develop processes for monitoring data completeness, consistency, validity, accuracy, and timeliness.