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About the Role
The AI & Emerging Technology Risk Oversight team provides oversight and challenge of how Manulife manages AI, technology, cyber, data, and emerging technology risks. This role is responsible for building enterprise-wide data risk management frameworks, standards, methodologies, and tools, and providing independent challenge of systemic and strategic data risks.
Responsibilities
- Design, maintain, and continuously improve the enterprise data risk oversight framework, standards, methodologies, and tools.
- Build practical oversight tools, guidance, templates, and assessment approaches for segment Information Risk Officers.
- Aggregate and analyze data risk across segments and functions to identify concentrations, themes, systemic exposures, and gaps.
- Provide independent challenge of the overall effectiveness, consistency, and maturity of Manulife's AI and data risk program.
- Set enterprise standards and oversight expectations across the data lifecycle, including data governance, quality, lineage, retention, minimization, and disposal.
- Define enterprise standards and oversight approaches for data privacy, consent, sensitive-data classification, and access control.
- Establish risk expectations and oversight approaches for third-party, shared, and AI-generated (synthetic) data.
- Challenge data bias, representativeness, and ethical data use at a program level, particularly for data that feeds AI, and escalate systemic concerns.
- Oversee enterprise data risk issues, ensuring significant and systemic weaknesses are identified, aggregated, and escalated.
- Define enterprise data risk metrics and key risk indicators, and produce independent reporting, thematic reviews, and cross-segment dashboards.
- Ensure framework and oversight activities align with relevant OSFI guidance, enterprise data risk standards, and applicable privacy regimes.
- Provide independent, strategic challenge on enterprise initiatives, AI use cases, and emerging technologies involving data.
- Coordinate with AI Model Risk, AI Technology & Cyber, and Emerging Technology teams for coordinated and non-duplicative oversight.
Requirements
- 10+ years of relevant experience in data risk, data governance, privacy, enterprise risk management, technology risk, internal audit, or a related discipline.
- Proven experience designing data risk frameworks, standards, methodologies, or oversight tools, ideally in a second-line or independent assurance role in financial services, insurance, or another regulated industry.
- Strong understanding of data governance core areas: data quality, lineage, classification, retention, privacy, consent, and access management.
- Experience aggregating and analyzing risk across a large, complex organization to identify systemic themes.
- Familiarity with relevant OSFI guidance (including E-21 operational and data risk, E-23 model risk, B-10 third-party, and B-13 technology and cyber) and privacy laws such as PIPEDA and other global privacy rules.
- Experience overseeing or challenging data used in AI, machine learning, or advanced analytics, including AI training data and synthetic data.
- Good understanding of how data risk connects to model risk.
- Experience preparing risk assessments, management reporting, executive presentations, and materials for governance committees.
- Proven ability to challenge others constructively and influence senior leaders without direct authority.
- Excellent written and verbal communication skills, including the ability to explain complex data and risk topics clearly to senior leaders and committees.
- Strong judgment, independence, and the confidence to raise tough issues.
- Ability to juggle priorities and work quickly while maintaining quality and clear documentation.
- Bilingualism (English and French) is a strong asset; proficiency will be required if located in Québec.
Skills
- Data Risk Management
- Data Governance
- Privacy
- Enterprise Risk Management
- Technology Risk
- Internal Audit
- AI Risk Oversight
- Data Quality
- Data Lineage
- Data Classification
- Data Retention
- Data Minimization
- Data Disposal
- Data Privacy
- Consent Management
- Access Management
- Third-Party Data Risk
- Synthetic Data Risk
- AI Ethics
- Risk Metrics
- Key Risk Indicators (KRIs)
- OSFI Guidance
- PIPEDA
- Model Risk Management
- Communication Skills
- Influencing Skills
- Judgment
- Problem-Solving
Location
- Toronto, Ontario
Work Type
- Hybrid
Experience Level
- Senior Manager
- 10+ years of relevant experience
Education Level
- Bachelor's degree in Computer Science, Data Science, Information Management, Statistics, Mathematics, Engineering, Risk Management, Law, or a related field.
Salary/Compensations
- $113,000.00 CAD - $163,000.00 CAD
Benefits
- Opportunity to participate in incentive programs and earn incentive compensation.
- Health, dental, mental health, vision, short- and long-term disability, life and AD&D insurance coverage.
- Adoption/surrogacy and wellness benefits.
- Employee/family assistance plans.
- Retirement savings plans (including pension and a global share ownership plan with employer matching contributions).
- Financial education and counseling resources.
- Generous paid time off program including holidays, vacation, personal, and sick days.
- Full range of statutory leaves of absence.
About the Company
- Manulife Financial Corporation is a leading international financial services provider, helping people make their decisions easier and lives better.
- Manulife is an Equal Opportunity Employer.
- We embrace our diversity and strive to attract, develop and retain a workforce that is as diverse as the customers we serve.
- We foster an inclusive work environment that embraces the strength of cultures and individuals.
- We are committed to fair recruitment, retention, advancement and compensation.
Equal Opportunity
- We administer all of our practices and programs without discrimination on the basis of race, ancestry, place of origin, colour, ethnic origin, citizenship, religion or religious beliefs, creed, sex (including pregnancy and pregnancy-related conditions), sexual orientation, genetic characteristics, veteran status, gender identity, gender expression, age, marital status, family status, disability, or any other ground protected by applicable law.
- It is our priority to remove barriers to provide equal access to employment.
- A Human Resources representative will work with applicants who request a reasonable accommodation during the application process.
- All information shared during the accommodation request process will be stored and used in a manner that is consistent with applicable laws and Manulife/John Hancock policies.