Director leading enterprise data governance, catalog, quality, and AI readiness for CBC/Radio - Canada’s public service media organization. Hybrid role guiding governance programs, councils, stakeholders, and data teams.
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Manager / Senior Manager, AI Model Risk Governance, Standards & Enablement
Posted yesterday
About the role
- AI model risk governance leader developing enterprise frameworks, standards, and training for responsible AI at global financial services provider Manulife. Hybrid role partnering with regulated-industry stakeholders.
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, 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
Requirements
- 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
- 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
Benefits
- Flexible work environment
- Learning and career growth support
- Well-being and inclusion support
- Health, dental, mental health, and vision coverage
- Short- and long-term disability insurance
- Life and AD&D insurance coverage
- Adoption/surrogacy benefits
- Wellness benefits
- Employee/family assistance plans
- Retirement savings plans, including pension
- Global share ownership plan with employer matching contributions
- Financial education and counseling resources
- Paid holidays, vacation, personal, and sick days
- Statutory leaves of absence
- Incentive programs and incentive compensation tied to business and individual performance
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