Manager / Senior Manager, AI Model Risk Oversight & Challenge

Manulife group; Toronto; Vor Ort; CAD 113.000 - 163.000; Vollzeit

Zusammenfassung

Manulife is seeking an experienced Manager / Senior Manager, AI Model Risk Oversight & Challenge, to provide independent second-line oversight of AI model risk management practices across the enterprise. You will evaluate validation outcomes, risk assessments, controls, and monitoring activities, and communicate findings at senior levels.

The role focuses on Generative AI, LLMs, and Agentic AI, driving effective governance and risk-aware decision-making.

Qualifikationen

• Bachelor’s degree in a related discipline.
• Experience in AI/ML model risk management and governance.
• Experience with risk assessments, validation results and monitoring outcomes.
• Ability to challenge technical stakeholders and communicate findings to senior management.

Aufgaben

• Provide independent second-line oversight and challenge of AI model risk management practices, validation outcomes, risk assessments, controls, and monitoring activities.
• Review medium- and high-risk AI initiatives to assess whether model risks have been identified, assessed, mitigated, monitored, and escalated.
• Evaluate AI/ML methodologies, model design, data quality, testing approaches, performance metrics, and monitoring practices.
• Assess risks related to Generative AI, large language models, foundation models, retrieval-augmented generation (RAG), third-party AI solutions, and Agentic AI applications.
• Conduct risk-based reviews, thematic assessments, and sampling to identify emerging risks and portfolio concerns.
• Evaluate the quality and effectiveness of Line 1 validation, governance, monitoring, and risk management outcomes.
• Develop independent opinions, recommendations, and challenge positions supported by evidence and risk analysis.
• Produce executive-ready risk assessments and governance materials for committees.

Kenntnisse

AI risk management

Model risk management

Governance

Validation

Risk assessment

Stakeholder influence

Bilingual EN/FR (asset)

Ausbildung

Bachelor’s degree in CS/Data Science/AI/Statistics/Math/Engineering/Risk Management

Tools

Python

SQL

R

Jobbeschreibung

Manulife is seeking an experienced Manager / Senior Manager, AI Model Risk Oversight & Challenge, to provide independent second-line oversight and effective challenge of AI model risk management practices across the enterprise. This role offers a unique opportunity to influence the safe and responsible adoption of AI by assessing the effectiveness of risk management, validation, monitoring, and governance activities for medium- and high-risk AI initiatives. The successful candidate will leverage strong AI, machine learning, and data science expertise to identify emerging risks, challenge technical and business stakeholders, and provide actionable insights to senior management and governance committees. Working at the forefront of Generative AI and Agentic AI oversight, this role will help shape how AI risks are understood, monitored, and managed across the organization.

Position Responsibilities

• Provide independent second-line oversight and challenge of AI model risk management practices, validation outcomes, risk assessments, controls, and monitoring activities.
• Review medium- and high-risk AI initiatives to assess whether model risks have been appropriately identified, assessed, mitigated, monitored, and escalated.
• Evaluate AI and machine learning methodologies, model design, data quality, testing approaches, performance metrics, and monitoring practices.
• Assess risks associated with Generative AI, large language models, foundation models, retrieval-augmented generation (RAG), third-party AI solutions, and Agentic AI applications.
• Conduct risk-based reviews, thematic assessments, and sampling activities to identify emerging risks, recurring weaknesses, and portfolio-level concerns.
• Evaluate the quality and effectiveness of Line 1 validation, governance, monitoring, and risk management outcomes.
• Develop and communicate independent opinions, recommendations, and challenge positions supported by evidence and risk analysis.
• Produce executive-ready risk assessments, management reporting, thematic reviews, and governance committee materials.
• Translate complex technical findings into clear business, governance, and risk implications for senior stakeholders.
• Contribute to the continuous enhancement of AI model risk management policies, methodologies, training materials, and oversight practices.

Required 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, Data Science, Machine Learning, Model Risk Management, Model Validation, Technology Risk, Analytics Risk, or related disciplines.
• Experience reviewing technical documentation, model validation results, testing evidence, monitoring outcomes, and risk assessments.
• Strong understanding of AI model lifecycle management, model risk concepts, governance practices, and control frameworks.
• Experience working with AI and machine learning solutions within financial services or another highly regulated industry.
• Demonstrated ability to challenge technical stakeholders and influence senior leaders.
• 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.

Preferred Qualifications

• Advanced understanding of AI Model Risk Management frameworks and model lifecycle governance.
• Experience assessing risks associated with Generative AI, large language models, foundation models, retrieval-augmented generation (RAG), and Agentic AI.
• Practical familiarity with Python, SQL, R, machine learning environments, or analytical tools.
• Experience conducting model reviews, validation activities, independent challenge, or technical risk assessments.
• Knowledge of responsible AI principles, explainability, fairness, bias management, robustness, and model monitoring practices.
• Familiarity with emerging regulatory requirements and industry standards relating to AI, model risk, and technology risk management.
• Experience preparing executive reporting, governance committee materials, or portfolio-level risk insights.

When you join our team

• 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.

#Li-Hybrid

The role being advertised is an existing vacancy.

Referenced Salary Location

Toronto, Ontario

Working Arrangement

ハイブリッド勤務

Salary range is expected to be between

$113,000.00 CAD - $163,000.00 CAD

Employees also have the opportunity to participate in incentive programs and earn incentive compensation tied to business and individual performance. The actual salary will vary depending on local market conditions, geography and relevant job-related factors such as knowledge, skills, qualifications, experience, and education/training. If you are applying for this role outside of the primary location, please contact [e-mail] for the salary range for your location.

Manulife offers eligible employees a wide array of customizable benefits, including health, dental, mental health, vision, short- and long-term disability, life and AD&D insurance coverage, adoption/surrogacy and wellness benefits, and employee/family assistance plans. We also offer eligible employees various retirement savings plans (including pension and a global share ownership plan with employer matching contributions) and financial education and counseling resources. Our generous paid time off program in Canada includes holidays, vacation, personal, and sick days, and we offer the full range of statutory leaves of absence. If you are applying for this role in the U.S., please contact [e-mail] for more information about U.S.-specific paid time off provisions.

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