AI Governance Specialist

Job Summary

We are seeking an AI Governance Specialist to help establish, implement, and maintain frameworks that ensure the responsible, ethical, and compliant use of artificial intelligence and machine learning systems across the organization. This role bridges technical, legal, risk, and compliance functions to manage AI-related risk while enabling innovation.

Key Responsibilities

Develop and maintain AI governance frameworks, policies, and standards covering the AI/ML model lifecycle
Assess AI/ML systems for risk, including bias, fairness, explainability, robustness, privacy, and security considerations
Support model risk management processes, including model inventory, validation, and ongoing monitoring
Monitor and interpret evolving AI regulations and standards (e.g., EU AI Act, NIST AI Risk Management Framework, sector-specific guidance) and assess organizational impact
Collaborate with data science, engineering, legal, compliance, and risk teams to embed governance controls into AI development processes
Support AI impact assessments and risk reviews for new AI use cases prior to deployment
Maintain documentation supporting AI system audits, regulatory inquiries, and internal reviews
Contribute to the development of responsible AI principles, ethical guidelines, and review processes
Track and report on AI governance program metrics, model inventory status, and identified risks
Support training and awareness initiatives on responsible AI practices across the organization
Stay current with emerging AI governance frameworks, regulatory developments, and industry best practices

Required Qualifications

Bachelor's degree in Law, Data Science, Computer Science, Public Policy, Risk Management, or a related field (or equivalent experience)
Experience in AI/ML governance, model risk management, technology risk, or regulatory compliance
Understanding of AI/ML concepts, model development lifecycle, and associated risks (bias, explainability, robustness)
Familiarity with emerging AI regulations and frameworks (EU AI Act, NIST AI RMF, ISO/IEC 42001, or similar)
Strong analytical and critical-thinking skills to assess risk across technical and business contexts
Excellent written and verbal communication skills, with ability to translate technical concepts for non-technical stakeholders
Experience developing or contributing to governance policies, standards, or documentation

Preferred Qualifications

Experience with model risk management frameworks (e.g., SR 11-7 or equivalent) in a regulated industry
Familiarity with responsible AI tools (bias detection, explainability, model monitoring platforms)
Certification in AI governance, privacy, or risk management (e.g., AIGP, CIPP, CRISC)
Experience working directly with data science/ML engineering teams on model development processes
Legal or regulatory background with a focus on technology or data privacy
Prior experience in a regulated industry (financial services, healthcare, pharma)

Core Competencies

Strong understanding of AI/ML risk and governance principles
Ability to work cross-functionally across legal, technical, risk, and compliance teams
Analytical and structured approach to risk assessment
Clear communication bridging technical and non-technical audiences
Adaptability given the fast-evolving nature of AI regulation and technology

Note: This is a general-purpose template. Tailor requirements (specific regulatory frameworks, industry, years of experience) to the specific client role before posting.

AI governance specialists