Data science intern analyzing HR data and developing predictive models and AI solutions. Supporting iA Financial Group’s insurance, savings, and wealth management business.
About the role
- Senior Manager overseeing enterprise data risk frameworks and AI data oversight at Manulife, an international financial services provider. Challenging systemic exposures and reporting to senior governance committees.
Responsibilities
- Design, maintain, and continuously improve the enterprise data risk oversight framework, standards, methodologies, and tools
- Build 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 enterprise risk gaps
- Provide independent challenge of the effectiveness, consistency, and maturity of Manulife's AI and data risk program
- Set enterprise standards across the data lifecycle, including governance, quality, lineage, provenance, retention, minimization, and disposal
- Define oversight approaches for privacy, consent, sensitive-data classification, and access control
- Establish oversight approaches for third-party, shared, and AI-generated data
- Challenge data bias, representativeness, and ethical data use in AI-related data
- Oversee enterprise data risk issues and escalate significant systemic weaknesses to senior management and governance committees
- Define data risk metrics and key risk indicators and produce reporting, thematic reviews, and cross-segment dashboards for management, committees, and Board-level reporting
- Ensure alignment with OSFI guidance, enterprise data risk standards, and applicable privacy regimes
- Provide 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
Requirements
- 10+ years of relevant experience in data risk, data governance, privacy, enterprise risk management, technology risk, internal audit, or a related discipline
- Bachelor's degree in Computer Science, Data Science, Information Management, Statistics, Mathematics, Engineering, Risk Management, Law, or a related field
- 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, including 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 OSFI guidance, including E-21, E-23, B-10, and B-13, 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
- Understanding of how data risk connects to model risk
- Experience preparing risk assessments, management reporting, executive presentations, and governance committee materials
- Ability to challenge constructively and influence senior leaders without direct authority
- Excellent written and verbal communication skills
- Strong judgment, independence, and confidence to raise tough issues
- Ability to juggle priorities, work quickly, maintain quality, and keep documentation clear
- If the successful candidate is in Québec, proficiency in both English and French will be required to support clients from various provinces outside Québec
- Knowledge of DAMA-DMBOK or DCAM and certifications such as CIPP/C, CIPM, CDMP, CISA, CRISC, or FRM is an asset
Benefits
- Incentive programs and incentive compensation tied to business and individual performance
- 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, 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
- Reasonable accommodation during the application process
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