Data Engineer; Data Management Support Officer; SME

The Data Management Support Officer (Data Engineer) will act as a subject matter expert to shape unified data strategy, governance, quality, interoperability, and performance measurement across CI and HUMINT execution.

• Establish, test, evaluate, and maintain unified data frameworks
  , including terminology, data models, and performance standards across CI and HUMINT executors.
• Develop and enforce data-governance policies covering quality, security, access, compliance, and interoperability.
• Oversee data input and output processes to ensure accurate executor representation and reliable operational information.
• Maintain data dictionaries
  , metadata standards, taxonomies, and documentation to support enterprise interoperability.
• Chair or coordinate data-governance working groups and enterprise forums with DoD and Intelligence Community stakeholders.
• Implement data-quality monitoring, validation, cleansing, and continuous-improvement processes.
• Facilitate cross-domain integration and data exchange across NIPR, SIPR, JWICS
  , and other approved environments.
• Develop metrics, KPIs, performance-measurement frameworks, executive dashboards, and analytical products.
• Analyze executor capability data to identify trends, gaps, anomalies, and optimization opportunities.
• Advise ETO leadership on data modernization, resource allocation, operational planning, and enterprise interoperability.
• Coordinate with tool administrators, data scientists, software engineers, and security personnel to align implementation with strategy.

• Subject matter expertise in enterprise data management, data governance, data engineering, data architecture, or a related field.
• Demonstrated experience establishing data frameworks, governance policies, metadata standards, data-quality controls, and performance measures.
• Proficiency with analytical tools, including Microsoft Excel, Tableau, Power BI, R, Python
  , or comparable platforms.
• Strong understanding of CI/HUMINT operations
  , collection-management processes, or intelligence mission data.
• Experience analyzing large datasets and developing metrics, KPIs, dashboards, reports, and executive recommendations.
• Knowledge of IC and DoD data, security, information-sharing, and cross-domain requirements.
• Excellent facilitation, advisory, briefing, and written and verbal communication skills.

• Microsoft Excel
• Tableau
• Power BI
• R
• Python

• Experience supporting DIA, UMM, enterprise source coordination, or comparable data-modernization programs.
• Experience leading multidisciplinary teams or supervising data-platform and analytics personnel.

• Active TS/SCI CI Poly clearance.
• Ability to work onsite at the DIA Government SCIF in Reston, Virginia during COR-established working hours.
• Ability to comply with applicable DIA, DoD, Intelligence Community, cybersecurity, records-management, classification, and information-handling requirements.
• Ability to work effectively in a non-personal services environment where contractor personnel remain accountable to contractor management.

Location: Reston, VA (onsite)