Manager​/Senior Manager, AI Model Risk Governance, Standards & Enablement

Position Responsibilities

• Lead the development, maintenance, and enhancement of AI Model Risk Management policies, standards, procedures, methodologies, and governance guidance.
• Translate evolving regulatory requirements, industry developments, and emerging AI risks into practical, risk-based governance requirements.
• Develop and maintain Line 2 oversight methodologies, challenge frameworks, assessment tools, templates, and governance playbooks.
• Establish governance requirements and risk management expectations for machine learning, Generative AI, foundation models, retrieval-augmented generation (RAG), and Agentic AI solutions.
• Provide authoritative interpretation of AI model risk policies, standards, and governance requirements across the enterprise.
• Design and deliver AI model risk training, awareness programs, job aids, and stakeholder education materials.
• Develop executive presentations, governance committee materials, briefing notes, and communications for senior leadership.
• Partner with business, technology, data science, legal, compliance, privacy, cybersecurity, validation, and risk teams to support consistent adoption of AI governance requirements.
• Support targeted oversight reviews, thematic assessments, and challenge activities requiring policy interpretation or technical expertise.
• Monitor emerging AI technologies, regulatory developments, and industry best practices to continuously enhance the framework.

• 7+ years of relevant experience for Manager-level candidates or 10+ years for Senior Manager-level candidates.
• Bachelor's degree in Computer Science, Data Science, Artificial Intelligence, Statistics, Mathematics, Engineering, Risk Management, Business, or a related discipline.
• Experience in AI Governance, Model Risk Management, Data Science, Machine Learning, Technology Risk, Policy Development, Model Validation, or related disciplines.
• Experience developing policies, standards, governance frameworks, procedures, methodologies, or enterprise risk programs.
• Experience working with AI and machine learning solutions within financial services or another highly regulated industry.
• Proven ability to develop executive communications, governance materials, training content, and stakeholder-facing guidance.
• Strong stakeholder management, communication, and influencing skills.
• Bilingualism (English and French) is a strong asset.
• If the successful candidate is in Québec, proficiency in both languages will be required to support clients from various provinces outside of Quebec.

• Advanced understanding of AI Model Risk Management frameworks and model lifecycle governance.
• Experience designing governance requirements for Generative AI, large language models, foundation models, RAG, and Agentic AI.
• Practical familiarity with Python, SQL, R, machine learning workflows, or analytics environments.
• Experience translating regulatory requirements into enterprise-wide policies and governance standards.
• Experience developing training programs, learning materials, or organizational capability-building initiatives.
• Knowledge of AI-related regulatory expectations, responsible AI principles, technology risk, privacy, cybersecurity, and data governance frameworks.
• Experience supporting executive committees, governance forums, or board-level reporting.

We’ll empower you to learn and grow the career you want.

We’ll recognize and support you in a flexible environment where well‑being and inclusion are more than just words.

As part of our global team, we’ll support you in shaping the future you want to see.

Manulife Financial Corporation is a leading international financial services provider, helping people make their decisions…