Job Requirements
Warrenton, VA
Top Secret/SCI Polygraph not specified
Senior Level Career (10+ yrs experience)
$230,000 - $290,000
Job Description
Position: Strategic AI Governance Advisor SME (Advisor – SME)
Location: Warrenton, VA (Onsite)
Clearance: TS/SCI
Education: MS (or a BS plus an additional 8 years of experience, 4 of which must be work-related).
Outcomes:
The successful candidate is expected to accomplish the following outcomes during the first year in the position:
• Formally track all tasks, to include: assigned by, suspense, status, and comments on all assigned tasks through completion and be prepared to brief upon request.
• Develop digital continuity folders and files that include standard operating procedures, workflows and POC lists to accomplish all tasks.
• Create 2-3 products beyond the client’s requirements that positively impact the client to either increase efficiency, effectiveness, or innovation.
• Master position tasks within 60 days and exceed requirements within 90 days.
Responsibilities:
The United States Air Force (USAF) Secretary of the Air Force Office of Competition (SAF/OC) Concepts, Development, and Management (CDM) Program Office conducts the planning and acquisition of cost-effective, critical capabilities in order to support the war-fighting mission of the combatant commanders.
The Strategic AI Governance Advisor SME (SAIG Advisor SME) directly supports Secretary of the Airforce/Office of Competition (SAF/OC) Combatant Command Intelligence (CCI) Enterprise Management Support Office (EMSO) directly supporting the Deputy Director, CCI-EMSO.
The SAIG Advisor SME assists the Office of the Under Secretary of War for Intelligence and Security (OUSW (L&S) in modernizing, aligning, and integrating enterprise CCI capabilities as part of the Defense Intelligence Enterprise.
EMSO focuses on Information Technology centric gaps and consensus across the community for enterprise solutions, and provides decision support for CCI enterprise management, management of capability area portfolios, and conducts material solution analyses when required.
The SAIG Advisor SME will support an organization that is developing and integrating forward-looking technologies to enhance the Department of War (DoW)-aligned worldwide mission, maturing its architecture of hardware, software, and advanced intelligence problem solving.
The SAIG Advisor SME provides executive-level subject matter expertise to the Deputy Director, CCI EMSO, on the management of the CCI EMSO Strategic Portfolio and the development of the annual Program of Work (PoW) in support of OUSW(I&S).
The SAIG Advisor SME brings deep expertise in Data Science, Data Engineering, AI Governance, AI Ethics, and Multi-Modal AI Management, and applies that expertise across the full span of EMSO's capability portfolio — from strategic portfolio-level decisions to hands-on implementation work on specific capabilities.
The successful candidate is someone who operates comfortably at the executive level while retaining the technical depth to contribute at the practitioner level when the mission requires it, and who can translate fluently between the two registers.
Per PWS section 1.3.10.11 Consulting Support p. 26 and Labor Category Description for Advisor, p. 63, specific responsibilities include but are not limited to:
• Provide executive-level subject matter expert counsel to the Deputy Director, CCI EMSO, on the management and evolution of the CCI EMSO Strategic Portfolio
• Assist the Deputy Director in developing the annual CCI EMSO Program of Work (PoW) in support of OUSW(I&S), including capability prioritization, resource alignment, and milestone definition
• Provide SME-level guidance on Data Science, Data Engineering, AI Governance, AI Ethics, and Multi-Modal AI Management across EMSO capability areas
• Participate in high-level operational briefings to Senior Government personnel across OUSW(I&S), the Joint Staff, Combatant Commands, and partner agencies, providing analytical input and SME recommendations as required
• Provide hands-on technical contribution to EMSO capability development, including coding, application management, and prompt engineering for AI-enabled capabilities
• Assume the duties and responsibilities of the Deputy Chief Digital and AI Officer (Deputy CDAO) role as directed by the Deputy Director, CCI EMSO
• Develop and maintain digital continuity artifacts, including standard operating procedures, workflows, and points-of-contact rosters, to preserve institutional knowledge across personnel transitions
• Evaluate emerging frontier AI capabilities (commercial and government-furnished) against CCI EMSO mission requirements, and make adoption, integration, and risk-management recommendations
• Contribute to the development and enforcement of AI governance frameworks applicable to CCI EMSO operations, including human-in-the-loop requirements, output validation, auditability, and sovereign data handling
• Represent CCI EMSO in cross-agency AI governance working groups, standards bodies, and interagency coordination efforts as directed
• Perform research and technical analysis in support of specific EMSO portfolio initiatives, including natural language processing, text analytics, predictive modeling, and data visualization, in collaboration with EMSO technical staff
• Make recommendations on process improvements and governance practices that improve quality, speed, and/or efficiency of EMSO operations and deliverables
• Mentor junior EMSO staff on data science, AI-assisted analytical tradecraft, and the responsible use of generative AI in intelligence contexts.
Qualifications:
The candidate must have the following qualifications:
• A minimum of fifteen (15) years of work-related experience
• Of those 15 years, at least ten (10) years of work-related experience in support of a Department of War (DoW)-aligned component.
• A minimum of 5 years' experience working within the intelligence community
• Demonstrated executive-level advisory experience, including direct support to senior government leadership (SES, flag officer, or equivalent).
• Demonstrated experience in AI governance, AI ethics, or AI policy development.
• Demonstrated experience with modern data science and data engineering practice, including practical familiarity with machine learning, natural language processing, and multi-modal AI systems.
• Extensive knowledge of research methods in intelligence, and in intelligence theories and applications.
• Strong problem solving and structuring skills.
• Ability and desire to take ownership of and initiative for analysis; from requirements clarification to deliverable.
• Strong technical and executive communication skills; both written and verbal.
• Ability to understand and articulate the “big picture” and simplify complex ideas for senior non-technical audiences.
• Ability to identify and learn applicable new techniques independently as needed.
• Demonstrated competence in hands-on technical work, including:
o Coding (Python preferred) for data processing, analysis, and AI application development
o Prompt engineering for large language models in operational contexts.
o Application management across the full lifecycle (development, deployment, monitoring, retirement)
o Text analytics (natural language processing, feature identification, frequency, network and relationship generation).
o Data analytics in conjunction with analysts to develop dashboards and bespoke decision aids.
o Visualization with industry common libraries and display systems.
o Graphics production using PowerPoint, Adobe Creative Suite, Photoshop, and HTML5.
Required certifications:
• Active PMP certification
• Active PMI Certified Professional in Managing Artificial Intelligence (PMI CPMAI) or obtained within 6 months of employment.
• Certified AI Scientist (CAIS), Certified AI Technical Lead (CAITL), or equivalent AI credential (equivalency proof) or obtained within 18 months of employment.
The following qualifications are desired:
• Prior service as a Deputy CDAO, CDAO-equivalent, or senior AI officer in a DoW, IC, or civilian agency context (desired).
• Published scholarship in AI governance, human-AI collaborative intelligence, or national security AI policy (desired).
• Experience briefing at the Undersecretary, Service Secretary, Combatant Commander, or Congressional level (desired).
• Advanced analytical technique (desired).
• Intelligence and business strategy (desired).
• Data analytics for the private sector (desired).
• Strategic planning and intelligence (desired).
• Financial intelligence analysis (desired).
• Intelligence and acquisition policy (desired).
• Machine learning and artificial intelligence applications (desired)
• Natural language processing (desired).
• Cyber threat analysis (desired).
• Intelligence support to targeting (desired).
• Demonstrated expertise in the responsible application of generative AI in operational and analytical workflows (desired).
Travel: Local travel within the NCR and occasional long-distance travel outside the NCR
Location: Warrenton, VA (Onsite)
Clearance: TS/SCI
Education: MS (or a BS plus an additional 8 years of experience, 4 of which must be work-related).
Outcomes:
The successful candidate is expected to accomplish the following outcomes during the first year in the position:
• Formally track all tasks, to include: assigned by, suspense, status, and comments on all assigned tasks through completion and be prepared to brief upon request.
• Develop digital continuity folders and files that include standard operating procedures, workflows and POC lists to accomplish all tasks.
• Create 2-3 products beyond the client’s requirements that positively impact the client to either increase efficiency, effectiveness, or innovation.
• Master position tasks within 60 days and exceed requirements within 90 days.
Responsibilities:
The United States Air Force (USAF) Secretary of the Air Force Office of Competition (SAF/OC) Concepts, Development, and Management (CDM) Program Office conducts the planning and acquisition of cost-effective, critical capabilities in order to support the war-fighting mission of the combatant commanders.
The Strategic AI Governance Advisor SME (SAIG Advisor SME) directly supports Secretary of the Airforce/Office of Competition (SAF/OC) Combatant Command Intelligence (CCI) Enterprise Management Support Office (EMSO) directly supporting the Deputy Director, CCI-EMSO.
The SAIG Advisor SME assists the Office of the Under Secretary of War for Intelligence and Security (OUSW (L&S) in modernizing, aligning, and integrating enterprise CCI capabilities as part of the Defense Intelligence Enterprise.
EMSO focuses on Information Technology centric gaps and consensus across the community for enterprise solutions, and provides decision support for CCI enterprise management, management of capability area portfolios, and conducts material solution analyses when required.
The SAIG Advisor SME will support an organization that is developing and integrating forward-looking technologies to enhance the Department of War (DoW)-aligned worldwide mission, maturing its architecture of hardware, software, and advanced intelligence problem solving.
The SAIG Advisor SME provides executive-level subject matter expertise to the Deputy Director, CCI EMSO, on the management of the CCI EMSO Strategic Portfolio and the development of the annual Program of Work (PoW) in support of OUSW(I&S).
The SAIG Advisor SME brings deep expertise in Data Science, Data Engineering, AI Governance, AI Ethics, and Multi-Modal AI Management, and applies that expertise across the full span of EMSO's capability portfolio — from strategic portfolio-level decisions to hands-on implementation work on specific capabilities.
The successful candidate is someone who operates comfortably at the executive level while retaining the technical depth to contribute at the practitioner level when the mission requires it, and who can translate fluently between the two registers.
Per PWS section 1.3.10.11 Consulting Support p. 26 and Labor Category Description for Advisor, p. 63, specific responsibilities include but are not limited to:
• Provide executive-level subject matter expert counsel to the Deputy Director, CCI EMSO, on the management and evolution of the CCI EMSO Strategic Portfolio
• Assist the Deputy Director in developing the annual CCI EMSO Program of Work (PoW) in support of OUSW(I&S), including capability prioritization, resource alignment, and milestone definition
• Provide SME-level guidance on Data Science, Data Engineering, AI Governance, AI Ethics, and Multi-Modal AI Management across EMSO capability areas
• Participate in high-level operational briefings to Senior Government personnel across OUSW(I&S), the Joint Staff, Combatant Commands, and partner agencies, providing analytical input and SME recommendations as required
• Provide hands-on technical contribution to EMSO capability development, including coding, application management, and prompt engineering for AI-enabled capabilities
• Assume the duties and responsibilities of the Deputy Chief Digital and AI Officer (Deputy CDAO) role as directed by the Deputy Director, CCI EMSO
• Develop and maintain digital continuity artifacts, including standard operating procedures, workflows, and points-of-contact rosters, to preserve institutional knowledge across personnel transitions
• Evaluate emerging frontier AI capabilities (commercial and government-furnished) against CCI EMSO mission requirements, and make adoption, integration, and risk-management recommendations
• Contribute to the development and enforcement of AI governance frameworks applicable to CCI EMSO operations, including human-in-the-loop requirements, output validation, auditability, and sovereign data handling
• Represent CCI EMSO in cross-agency AI governance working groups, standards bodies, and interagency coordination efforts as directed
• Perform research and technical analysis in support of specific EMSO portfolio initiatives, including natural language processing, text analytics, predictive modeling, and data visualization, in collaboration with EMSO technical staff
• Make recommendations on process improvements and governance practices that improve quality, speed, and/or efficiency of EMSO operations and deliverables
• Mentor junior EMSO staff on data science, AI-assisted analytical tradecraft, and the responsible use of generative AI in intelligence contexts.
Qualifications:
The candidate must have the following qualifications:
• A minimum of fifteen (15) years of work-related experience
• Of those 15 years, at least ten (10) years of work-related experience in support of a Department of War (DoW)-aligned component.
• A minimum of 5 years' experience working within the intelligence community
• Demonstrated executive-level advisory experience, including direct support to senior government leadership (SES, flag officer, or equivalent).
• Demonstrated experience in AI governance, AI ethics, or AI policy development.
• Demonstrated experience with modern data science and data engineering practice, including practical familiarity with machine learning, natural language processing, and multi-modal AI systems.
• Extensive knowledge of research methods in intelligence, and in intelligence theories and applications.
• Strong problem solving and structuring skills.
• Ability and desire to take ownership of and initiative for analysis; from requirements clarification to deliverable.
• Strong technical and executive communication skills; both written and verbal.
• Ability to understand and articulate the “big picture” and simplify complex ideas for senior non-technical audiences.
• Ability to identify and learn applicable new techniques independently as needed.
• Demonstrated competence in hands-on technical work, including:
o Coding (Python preferred) for data processing, analysis, and AI application development
o Prompt engineering for large language models in operational contexts.
o Application management across the full lifecycle (development, deployment, monitoring, retirement)
o Text analytics (natural language processing, feature identification, frequency, network and relationship generation).
o Data analytics in conjunction with analysts to develop dashboards and bespoke decision aids.
o Visualization with industry common libraries and display systems.
o Graphics production using PowerPoint, Adobe Creative Suite, Photoshop, and HTML5.
Required certifications:
• Active PMP certification
• Active PMI Certified Professional in Managing Artificial Intelligence (PMI CPMAI) or obtained within 6 months of employment.
• Certified AI Scientist (CAIS), Certified AI Technical Lead (CAITL), or equivalent AI credential (equivalency proof) or obtained within 18 months of employment.
The following qualifications are desired:
• Prior service as a Deputy CDAO, CDAO-equivalent, or senior AI officer in a DoW, IC, or civilian agency context (desired).
• Published scholarship in AI governance, human-AI collaborative intelligence, or national security AI policy (desired).
• Experience briefing at the Undersecretary, Service Secretary, Combatant Commander, or Congressional level (desired).
• Advanced analytical technique (desired).
• Intelligence and business strategy (desired).
• Data analytics for the private sector (desired).
• Strategic planning and intelligence (desired).
• Financial intelligence analysis (desired).
• Intelligence and acquisition policy (desired).
• Machine learning and artificial intelligence applications (desired)
• Natural language processing (desired).
• Cyber threat analysis (desired).
• Intelligence support to targeting (desired).
• Demonstrated expertise in the responsible application of generative AI in operational and analytical workflows (desired).
Travel: Local travel within the NCR and occasional long-distance travel outside the NCR
group id: 10125610