AI Governance Consultant

About the Role

AI governance is one of the fastest-evolving areas of regulatory and institutional risk. ELDR's Advisory practice advises financial institutions, healthcare systems, public sector organisations, and multinational enterprises on how to govern AI responsibly — in a manner that satisfies regulatory expectations, manages operational risk, and builds durable institutional trust. The AI Governance Consultant leads engagements involving AI risk frameworks, regulatory mapping, and governance infrastructure design. This is a senior advisory role for someone who combines deep technical literacy with governance expertise and client management capability.

Responsibilities

• Lead client engagements involving AI governance framework design, implementation, and audit readiness across regulated industries
• Translate regulatory requirements — EU AI Act, NIST AI RMF, ISO/IEC 42001, OSFI guidelines, and sector-specific AI rules — into practical governance programmes
• Conduct AI risk assessments, bias and fairness evaluations, and model transparency reviews for financial services, healthcare, and public sector clients
• Develop AI governance policies, standards, procedures, and control documentation aligned with enterprise risk management frameworks
• Advise on data governance and AI lifecycle management — from training data provenance through deployment monitoring and model retirement
• Brief senior leadership and boards on AI regulatory developments and institutional risk exposure
• Support business development by contributing to proposals, thought leadership, and client presentations on AI governance topics

Requirements

• 8–15 years of combined experience in AI/ML governance, enterprise risk management, technology consulting, or regulatory compliance
• Deep working knowledge of AI governance frameworks — NIST AI RMF, EU AI Act, ISO/IEC 42001, OSFI, and applicable sector-specific requirements
• Demonstrated ability to design and implement governance programmes in regulated environments — financial services, healthcare, or government
• Strong advisory skills — structured thinking, executive communication, and the ability to manage complex client relationships
• Bachelor's degree required; graduate degree in law, computer science, data science, risk management, or policy preferred

Preferred Qualifications

• Professional certifications relevant to AI governance, data privacy, or enterprise risk (CIPP, CRISC, CDMP, or equivalent)
• Prior experience at a Big 4 professional services firm, management consultancy, or in-house governance role at a financial institution
• Experience with technical AI assurance processes — model audits, algorithmic impact assessments, or MLOps governance reviews

What We Offer

• Leadership of high-profile AI governance mandates with institutional clients across Canada and the U.S.
• Integration with ELDR Intelligence to access cutting-edge AI regulatory research
• Hybrid model from Toronto with flexibility for client travel across North America
• Competitive compensation with performance-linked components and clear advancement pathway