Data Engineer (Data Management Support Officer) - SME
Analytics
Business Analytics
Business Intelligence
Data
Data Analysis
Data Analytics
Data Architecture
Data Engineer
Data Engineering
Data Governance
Data Integration
Data Management
Data Pipeline
Data Platform
Data Processing
Data Security
Data Visualization
Data Warehouse
Database
Databases
Digital Marketing
Hr Technology
Information Technology (IT)
Metadata Management
Microsoft
Microsoft Office
Office Tools
Power BI
Power Platform
Reporting and Analytics
SQL
Job Description
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.
Responsibilities
- 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.
Requirements
- 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.
Technologies
- Microsoft Excel
- Tableau
- Power BI
- R
- Python
Preferred Qualifications
- Experience supporting DIA, UMM, enterprise source coordination, or comparable data-modernization programs.
- Experience leading multidisciplinary teams or supervising data-platform and analytics personnel.
Clearance and Work Requirements
- 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)
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