SME AI Management Analyst

Key Responsibilities

• Lead development of AI RMF governance frameworks, including roles, decision pathways, and oversight mechanisms
• Develop governance integration briefs addressing evaluation readiness and escalation pathways
• Ensure alignment between governance structures and TEVV planning activities
• Develop contextual risk mapping frameworks aligned with AI RMF “Map” function
• Identify and document AI system context, risk factors, and assumptions supporting evaluation planning
• Ensure traceability between risk identification and downstream evaluation priorities
• Design evaluation-to-risk integration frameworks connecting TEVV insights to operational risk management
• Develop feedback loop documentation and continuous improvement mechanisms
• Support translation of evaluation insights into actionable risk considerations
• Support AI standards landscape analysis and alignment with AI RMF
• Identify gaps, overlaps, and impacts across domestic and international standards efforts
• Contribute to development of analytical briefs and technical documentation
• Support development of Work Plans, Monthly Status Reports, and Final Reports
• Coverage of cross-task activities and ensure deliverable alignment
• Facilitate stakeholder engagement and communication with Government leads

Required Qualifications

• Bachelor’s degree in Public Policy, Business, Data Science, AI, or related field (Master’s preferred)
• 10+ years of experience in federal consulting, program analysis, or AI governance
• Demonstrated experience with AI risk management frameworks (e.g., NIST AI RMF)
• Experience developing governance artifacts, frameworks, and analytical reports
• Strong understanding of TEVV concepts and evaluation planning
• Experience supporting NIST, DoC, or federal AI initiatives
• Familiarity with OMB AI guidance and federal AI policy landscape
• Experience supporting standards organizations or regulatory environments