Lead Geospatial Analyst
MITRE
Summary
The Intelligence Mission Enablement Department is seeking a Lead Geospatial Analyst / Engineer to develop and maintain global geospatial data models of critical infrastructure and adversary activity in support of intelligence analysis of threats to U.S. Government equities. Initial priorities include the lifeline sectors of Energy, Fuel/Chemical, Telecommunications, Water, and Transportation. Embedded on-site with the sponsor in Bethesda, MD, this individual will work directly with mission partners to translate intelligence questions into data requirements, establish canonical models, and develop repeatable methods to aggregate, transform, conflate, and validate disparate datasets into trusted global layers. Candidates with strong all-source analytic experience and GEOINT expertise or exposure are encouraged to apply; this role blends mission analysis, data engineering, and geospatial tradecraft.
Job description
Roles & Responsibilities
The Intelligence Mission Enablement Department is seeking a Lead Geospatial Analyst / Engineer to develop and maintain global geospatial data models of critical infrastructure and adversary activity in support of intelligence analysis of threats to U.S. Government equities. Initial priorities include the lifeline sectors of Energy, Fuel/Chemical, Telecommunications, Water, and Transportation. Embedded on-site with the sponsor in Bethesda, MD, this individual will work directly with mission partners to translate intelligence questions into data requirements, establish canonical models, and develop repeatable methods to aggregate, transform, conflate, and validate disparate datasets into trusted global layers. Candidates with strong all-source analytic experience and GEOINT expertise or exposure are encouraged to apply; this role blends mission analysis, data engineering, and geospatial tradecraft.
Basic Qualifications
- Typically requires a minimum of 8 years of related experience with a Bachelor's degree; or 6 years and a Master's degree; or a PhD with 3 years' experience; or equivalent combination of related education and work experience.
- Experience in all-source intelligence analysis, GEOINT, geospatial analysis, data engineering, or a closely related field; ability to interpret and integrate data from multiple sources and assess provenance, completeness, and uncertainty.
- Experience developing geospatial data models, canonical schemas, global infrastructure datasets, or geospatial layers for intelligence or mission applications.
- Ability to engage mission partners, define requirements, and communicate technical and analytic findings clearly to sponsor stakeholders.
- Must have an active Top Secret/SCI with polygraph. U.S Government issued Security Clearance. Per the U.S. Government's eligibility requirements, you must be a U.S Citizen to be considered for a security clearance.
- This position has an on-site requirement of 5 days a week on-site.
Preferred Qualifications
- Experience analyzing critical infrastructure and adversary activities, particularly Energy, Fuel/Chemical, Telecommunications, Water, or Transportation sectors.
- Experience applying code-based automation, AI-assisted workflows, or agentic AI methods with appropriate human review, traceability, and validation; experience with entity resolution and cross-source geospatial conflation.
- Familiarity with GIS tools, spatial databases, geospatial standards, Python, SQL, or automated data pipelines for ingestion, transformation, conflation, and quality validation.
Requirements
- Minimum of 8 years of related experience with a Bachelor's degree; or 6 years and a Master's degree; or a PhD with 3 years' experience; or equivalent combination of related education and work experience
- Experience in all-source intelligence analysis, GEOINT, geospatial analysis, data engineering, or a closely related field
- Ability to interpret and integrate data from multiple sources and assess provenance, completeness, and uncertainty
- Experience developing geospatial data models, canonical schemas, global infrastructure datasets, or geospatial layers for intelligence or mission applications
- Ability to engage mission partners, define requirements, and communicate technical and analytic findings clearly to sponsor stakeholders
- Must have an active Top Secret/SCI with polygraph
- Must be a U.S. Citizen to be considered for a security clearance
- On-site requirement of 5 days a week on-site
- Preferred: Experience analyzing critical infrastructure and adversary activities, particularly Energy, Fuel/Chemical, Telecommunications, Water, or Transportation sectors
- Preferred: Experience applying code-based automation, AI-assisted workflows, or agentic AI methods with appropriate human review, traceability, and validation
- Preferred: Experience with entity resolution and cross-source geospatial conflation
- Preferred: Familiarity with GIS tools, spatial databases, geospatial standards, Python, SQL, or automated data pipelines
Benefits
- Competitive benefits
- Career development
Company overview
MITRE is a not-for-profit corporation that operates federally funded research and development centers (FFRDCs) for various U.S. government agencies. Founded in 1958, MITRE serves as a critical bridge between government requirements and technological innovation, providing objective analysis and solutions to complex national security and public interest challenges. The organization's work spans multiple domains including cybersecurity, aviation, healthcare, defense systems, and critical infrastructure protection. MITRE operates two primary FFRDCs: one for the Department of Defense and another for the Federal Aviation Administration and Department of Homeland Security. The corporation is renowned for developing technical standards and frameworks, most notably the MITRE ATT&CK framework for cybersecurity threat modeling. With a workforce of engineers, scientists, and technical specialists, MITRE focuses on solving problems of national importance through applied research, systems engineering, and advanced technology development, maintaining strict objectivity by not manufacturing products or competing with private industry.