Senior AI Model Risk Governance & Standards Leader

Société Financière Manuvie

Toronto

Hybrid

CAD 113,000 - 163,000

Full time

11 days ago
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Benefits offered by this job

Health, dental, vision benefits
Pension and employee share programs
Generous paid time off and wellness
Flexible hybrid work arrangement

Job summary

Manulife is seeking an experienced Manager/Senior Manager to lead the AI Model Risk Governance framework from a second-line perspective. The role shapes governance of AI, Generative AI, and Agentic AI across the enterprise, translating regulatory expectations into practical requirements and building scalable governance playbooks.

HybridToronto-based with strong stakeholder engagement and policy development responsibilities.

Qualifications

  • 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.

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.

Skills

AI governance
Model risk management
Policy development
Stakeholder management
Executive communications
Policy interpretation
Training materials
Bilingual English/French

Education

Bachelor's degree in CS/DS/AI/Statistics/Math/Engineering/Risk Management/Business

Tools

Python
SQL
R

Job description

Manulife is seeking an experienced Manager/Senior Manager to lead the AI Model Risk Governance framework from a second-line perspective. The role shapes governance of AI, Generative AI, and Agentic AI across the enterprise, translating regulatory expectations into practical requirements and building scalable governance playbooks.

HybridToronto-based with strong stakeholder engagement and policy development responsibilities.

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