Data Analyst (AI Assurance Lead)
What you'd do
Data Analysts combine mission and business analytics knowledge and a consultative approach to prepare reports, briefings, and communicate recommendations to enable stakeholder decision making. Data analysts identify, collect, structure, and evaluate data from various sources to meet analytic needs and prepare data for analysis using a range of data and visualization tools in alignment with data go
Major duties
ADDITIONAL INFORMATION: The Office of the Chief Information Officer serves as NGA's central technology authority, providing enterprise-wide leadership and integration across all information systems that power the agency's geospatial intelligence capabilities. OCIO establishes the technological foundation on which NGA accomplishes its mission by integrating cutting-edge technologies that enable NGA to maintain its position as the world leader in geospatial intelligence and GEOINT AI. Through its unified C-Suite - the Chief Enterprise Architect, Chief Engineer, Chief Information Security Officer, Chief Data Officer, Chief Artificial Intelligence Officer, and Chief Technology Officer - OCIO provides strategic direction, governance, and integration that ensures the agency is building the right things, the right way, together. OCIO drives IT policy and direction for NGA, architecting tomorrow's intelligence advantage today. The Office of Artificial Intelligence (TI) serves as NGA's center of excellence for artificial intelligence and machine learning technologies, driving the Agency's AI strategy, governance, and implementation across all mission areas. TI assists the Chief Artificial Intelligence Officer (CAIO) in their duties to coordinate artificial intelligence across NGA, developing enterprise AI capabilities, and ensuring responsible and ethical AI development and deployment throughout the Agency. The office leads AI policy development, standards creation, and governance frameworks that enable NGA to harness AI's transformative potential while managing associated risks.
What you need to qualify
MANDATORY QUALIFICATION CRITERIA: For this particular job, applicants must meet all competencies reflected under the Mandatory Qualification Criteria to include education (if required). Online resumes must demonstrate qualification by providing specific examples and associated results, in response to the announcement's mandatory criteria specified in this vacancy announcement: At least 10 years of progressively responsible experience in artificial intelligence, machine learning, computer science, data science, software engineering, or related technical fields; Demonstrated experience evaluating, comparing, and assessing AI systems, platforms, models, and services for mission suitability, technical maturity, scalability, interoperability, security, and operational value; Demonstrated experience leading the implementation, integration, or scaling of AI and automation capabilities in complex enterprise, defense, intelligence, or national security environments; Excellent collaboration, oral and written communication skills, including the ability to produce clear, technically credible written products and recommendations for senior leaders, technical teams, and external partners; Deep understanding of modern AI technologies, methodologies, and implementation patterns, including large language models, retrieval-augmented generation, AI agents, multimodal models, model evaluation, benchmarking, and AI security. EDUCATION REQUIREMENT: A. Education: Bachelor's degree from an accredited college or university in Data Analytics, Business Intelligence, Mathematics, Statistics, Actuarial Science, Computer Science, Engineering, Information Design, Operations Research, Finance, Information Technology, or a related field. -OR- B. Combination of Education and Experience: A minimum of 24 semester (36 quarter) hours of coursework in any area listed in option A, plus experience that requires the application of tools and algorithms to identify trends and patterns in data, or in a related area that demonstrates the ability to successfully perform the duties associated with this work. As a rule, every 30 semester (45 quarter) hours of coursework is equivalent to one year of experience. Candidates should show that their combination of education and experience totals 4 years. DESIRABLE QUALIFICATION CRITERIA: In addition to the mandatory qualifications, experience in the following is desired: At least 10 years of military service or experience working with or in direct support of military units, particularly in intelligence, cyber, operational planning, geospatial, or related mission areas; Experience with the IC Foundational AI Stack and related enterprise AI services; Experience supporting AI-related acquisition, contractor oversight, or technical program execution, including service as a Contracting Officer's Representative (COR); Experience reading and assessing technical architecture documents, model documentation, implementation plans, and system dependencies in support of enterprise adoption decisions; Demonstrated experience designing, building, or scaling AI and automation capabilities to improve mission effectiveness, efficiency, or operational outcomes.
Before you apply
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