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, Operational Risk Oversight, Global Risk
Posted yesterday
About the role
- AI risk oversight manager at Manulife, a global financial services provider. Challenging AI model and operational risks across regulated enterprise portfolios.
Responsibilities
- Provide independent second-line oversight and challenge of AI model risks and operational risks associated with AI-enabled solutions, platforms, and business processes
- Review and assess medium- and high-risk AI use cases
- Ensure risks are identified, evaluated, mitigated, monitored, and escalated
- Evaluate AI governance, model risk management practices, operational controls, monitoring programs, incident management activities, and regulatory compliance processes
- Assess risks associated with machine learning models, Generative AI, large language models, foundation models, third-party AI services, and Agentic AI solutions
- Review operational resilience, technology risk, third-party risk, change management, access controls, and incident response processes supporting AI solutions
- Conduct thematic reviews to identify emerging risks, recurring control weaknesses, governance gaps, and systemic issues across AI portfolios
- Develop and communicate independent risk opinions, oversight assessments, executive reporting, and committee materials
- Provide effective challenge to business, technology, data science, and governance stakeholders while maintaining second-line independence
- Support the evolution of AI Model Risk Management and Operational Risk Management frameworks, standards, methodologies, and governance practices
- Monitor emerging industry trends, regulatory developments, and leading practices related to AI, technology risk, and responsible AI
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 Operational Risk, Technology Risk, Model Risk Management, Enterprise Risk Management, Internal Audit, Compliance, or related risk functions
- Experience assessing or overseeing AI, machine learning, advanced analytics, or technology-enabled solutions
- Strong understanding of risk management frameworks, governance practices, control environments, and regulatory requirements within a regulated industry
- Ability to influence senior stakeholders and provide independent challenge on complex risk matters
- Strong written, verbal, analytical, and presentation skills
- If the successful candidate is in Québec, proficiency in both English and French will be required
- Experience within financial services, insurance, banking, or another highly regulated industry
- Knowledge of AI Model Risk Management frameworks and model lifecycle governance practices
- Familiarity with Generative AI, large language models (LLMs), foundation models, retrieval-augmented generation (RAG), and Agentic AI solutions
- Understanding of technology risk, operational resilience, third-party risk, cybersecurity, and AI governance frameworks
- Practical familiarity with Python, SQL, analytics tools, or machine learning environments
- Experience developing executive reporting, risk assessments, governance committee materials, or oversight opinions
- Knowledge of emerging regulatory expectations related to AI, model risk, operational risk, or technology risk management
Benefits
- Flexible work environment
- Health insurance
- Dental insurance
- Mental health benefits
- Vision insurance
- Short- and long-term disability insurance
- Life and AD&D insurance coverage
- Adoption/surrogacy benefits
- Wellness benefits
- Employee/family assistance plans
- Retirement savings plans
- 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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