AI Risk Management and TEVV Subject Matter Expert (SME)

Analytica•Bethesda, MD

About The Position

Analytica is seeking an experienced AI Risk Management & TEVV Subject Matter Expert (SME) to support the implementation of the NIST AI Risk Management Framework (AI RMF) across its lifecycle. This role focuses on enabling consistent, efficient, and outcome-driven adoption of trustworthy AI practices through advanced analysis, coordination, and documentation. The ideal candidate will bring deep expertise in AI governance, risk management, and evaluation planning, with the ability to synthesize complex standards and technical inputs into reusable, high-impact artifacts. This work supports evaluation planning, operational risk integration, and standards alignment, with Testing, Evaluation, Verification, and Validation (TEVV) treated as a crosscutting enabling capability rather than an execution function.

Requirements

Bachelor’s degree required (Master’s or PhD preferred in AI, Data Science, Computer Science, Engineering, Public Policy, or related field)
8+ years of professional experience supporting: AI risk management, AI evaluation planning, measurement, or assurance frameworks, Development of guidance, tools, or frameworks aligned to AI governance
Within that experience, 5+ years focused on implementation or operationalization of: AI risk management, AI governance or assurance, Evaluation or TEVV-related activities

Nice To Haves

Experience with NIST AI Risk Management Framework (AI RMF)
Familiarity with TEVV methodologies and evaluation planning processes
Experience working with Federal Government clients (NIST preferred but not required)
Experience working with Standards organizations or regulatory bodies
Ability to translate complex technical and policy concepts into structured documentation

Responsibilities

Support lifecycle implementation of the NIST AI Risk Management Framework (AI RMF)
Enable contextual understanding, evaluation planning, and operational risk integration
Support TEVV planning and synthesis, ensuring alignment with AI risk management objectives (non-execution role)
Conduct research across AI governance, assurance, and standards landscapes
Analyze and synthesize technical and policy data into clear, actionable insights
Present findings, including: Impacts and risks, Tradeoffs, Alternative approaches for Government consideration (without decision authority)
Analyze AI and non-AI standards frameworks relevant to risk management and governance
Develop crosswalks between NIST AI RMF and Other related standards and frameworks
Support harmonization and alignment across evaluation, risk, and standards activities
Develop reusable deliverables, including: Conceptual and guidance documents, Evaluation-ready documentation, Synthesis reports and coordination analyses
Draft proposed language, redlines, and alternative options for Government review
Facilitate coordination across multi-stakeholder technical, policy, and standards efforts
Promote reuse, traceability, and consistency across outputs to reduce duplication
Integrate Government-provided inputs into cohesive and aligned deliverables
Support execution of complex AI risk management and evaluation-related initiatives
Deliver high-quality outputs aligned with NIST’s mission of trustworthy AI
Reinforce governance, evaluation planning, and operational risk management efforts