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Data Analyst (AI Assurance Lead)


Job Location:

Springfield, VT - USA

Yearly Salary: USD 169279 - 169279
Posted: 6 October 2026 (Yesterday)
Application Deadline: 3 January 2027
Vacancies: 1 Vacancy

Job Summary

Summary

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


Duties

ADDITIONAL INFORMATION: The Office of the Chief Information Officer serves as NGAs central technology authority providing enterprise-wide leadership and integration across all information systems that power the agencys 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 tomorrows intelligence advantage today.

The Office of Artificial Intelligence (TI) serves as NGAs center of excellence for artificial intelligence and machine learning technologies driving the Agencys 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 AIs transformative potential while managing associated risks.


Requirements
Conditions of employment
  • US Citizenship is required.
  • Designated or Random Drug Testing required.
  • Security Investigation

SPECIAL INFO:
As a condition of employment at NGA persons being considered for employment must meet NGA fitness for employment standards.

- U.S. Citizenship

- Security Clearance - Top Secret /Sensitive Compartmented Information (SCI)

- Polygraph & Drug Test

- Direct Deposit

- Trial Period during which we will evaluate your fitness and whether your continued employment advances the public interest. We may consider: performance conduct; needs and interests of the agency; and whether your continued employment would advance organizational goals of the agency or the Government and the efficiency of the Federal service

SPECIAL REQUIREMENTS:
You must be able to obtain and retain a Top Secret security clearance with access to addition you are subject to a Counterintelligence Polygraph examination in order to maintain access to Top Secret information. All employees are subject to a periodic examination on a random basis in order to determine continued eligibility. Refusal to take the examination may result in denial of access to Top Secret information SAP or unescorted access to SCIFs.

Employees with SCI access and who are under NGA cognizance are required to submit a Security Financial Disclosure Report SF-714 on an annual basis in order to determine continued eligibility. Failure to comply may negatively impact continued access to Top Secret information Information Systems SAP or unescorted access to SCIFs.


NGA utilizes all processes and procedures of the Defense Civilian Intelligence Personnel System (DCIPS). Non-executive NGA employees are assigned to five distinct pay bands based on the type and scope of work performed. The employees base salary is established within their assigned pay band based on their unique qualifications. A performance pay process is conducted each year to determine a potential base pay salary increase and/or bonus. An employees annual performance evaluation is a key factor in the performance pay process.

This position is a DCIPS position in the Excepted Service under 10 U.S.C. 1601. DoD Components with DCIPS positions apply Veterans Preference to preference eligible candidates as defined by Section 2108 of Title 5 USC in accordance with the procedures provided in DoD Instruction 1400.25 Volume 2005 DCIPS Employment and Placement. If you are an external applicant claiming veterans preference as defined by Section 2108 of Title 5 U.S.C. you must self-identify your eligibility.

Qualifications

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 announcements 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: Bachelors 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 Officers 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.

Additional information

Candidates should be committed to improving the efficiency of the Federal government passionate about the ideals of our American republic and committed to upholding the rule of law and the United States Constitution.


Required Experience:

IC