AI Methodologist

Responsibilities

• Transform Intelligence Production Through Smart Integration
• Support NGA modernization activities in accordance with DoD AI strategy.
• Design AI integration strategies that compress multi-day analytic workflows into hours by intelligently combining GOTS / COTS capabilities.
• Audit the GOTS / COTS landscape to determine optimal solutions for specific intelligence problems: when to leverage NGA's internal investments, when to integrate commercial platforms, and how to architect hybrid solutions.
• Eliminate bottlenecks where automation stops and manual work begins, regardless of whether solutions come from government development or commercial acquisition.
• Navigate The Acquisition And Integration Ecosystem
• Evaluate emerging COTS AI platforms and services for applicability to NGA missions and security requirements.
• Balance the speed and innovation of commercial solutions with the security, reliability, and mission-specificity of government-developed tools.
• Enable Analytic Excellence And Training
• Build and implement comprehensive implementation plans that enable analysts to leverage AI-enhanced workflows effectively.
• Conduct on-the-job training to accelerate adoption of best practices.
• Facilitate leadership briefings and demonstrations.
• Translate analyst expertise into requirements that AI can augment.
• Guide teams in leveraging the full spectrum of available capabilities: government-developed tradecraft tools, enterprise AI platforms, commercial ML services, and emerging technologies.
• Drive Strategic Adoption
• Develop incremental AI implementation roadmaps that build confidence, demonstrate value, and accelerate toward transformation.
• Champion AI integration that enhances tradecraft rather than undermines it, ensuring solutions maintain security and compliance regardless of origin.
• Measure what matters: faster analysis, higher confidence assessments, greater analytic capacity, and return on investment across GOTS / COTS expenditures.
• Serve as Technology Advisor and Innovation Scout
• Maintain awareness of emerging COTS AI capabilities, commercial platforms, and industry trends that could benefit NGA missions.
• Advise leadership on technology investment strategies: when to build GOTS, when to buy COTS, and when to partner.
• Build relationships with commercial vendors, government labs, and IC technology organizations to stay at the forefront of AI innovation.

Qualifications

• Active TS/SCI with Counterintelligence (CI) and/or Full-scope (FS) polygraph, and the willingness / ability to obtain a Lifestyle polygraph.
• Bachelor's Degree and 15+ years of experience in intelligence analysis, with deep understanding of intelligence and operations cycles in a U.S. military or Intelligence Community (IC) environment.
• Demonstrated expertise and actual hands-on implementation experience applying AI/ML to real-world intelligence problems (not just theoretical knowledge).
• Ability to code in PYTHON and HTML.
• Mastery of NGA tools, tradecraft, and analytic methodologies - you’ll need credibility with working-level analysts who've seen every "solution" pitch before.
• Experience as an imagery analyst, with expertise in analyzing and exploiting Full Motion Video (FMV).
• Deep understanding of object-based production and GEOINT workflows in operational contexts.
• Fluency with DoD and IC information environments and the multi-source data ecosystem NGA depends on.
• Understanding of both GOTS and COTS acquisition, integration, and operational deployment challenges in classified environments.
• Experience evaluating commercial AI technologies for applicability, security implications, and integration feasibility in national security contexts.
• Excellent interpersonal and communication skills with proven ability to work independently in dynamic, high-tempo operational environments.
• Excellent analytical writing and briefing skills, with experience providing planned and ad-hoc briefings for senior leadership.
• Demonstrated instructional capabilities, to include developing and implementing training plans and curriculum.
• Familiarity with commercial AI platforms (AWS AI/ML services, Azure AI, Google Cloud AI, commercial computer vision platforms, etc.) and their potential integration into government workflows.
• Self-starter mentality with a customer-focused approach to delivering technology in operational environments.