AVP leading AI transformation, including fraud detection, for Manulife, a global financial services provider.
Driving secure, governed Classical, Generative, and Agentic AI solutions across Corporate Functions.
Responsibilities
Lead end-to-end delivery of AI solutions from opportunity assessment and design through deployment, adoption, and value realization
Manage a portfolio of AI initiatives and ensure measurable business outcomes
Lead cross-functional teams of AI/ML engineers, data scientists, product partners, and business stakeholders
Provide hands-on technical leadership in solution design, architecture, and prototyping
Partner with Corporate Functions leaders to identify and prioritize high-value AI opportunities
Translate business needs into scalable AI solutions aligned with enterprise strategy
Provide thought leadership on Generative AI, Agentic AI, and machine learning technologies
Drive stakeholder adoption and integration of AI into business processes
Ensure solutions meet enterprise standards for security, governance, model risk management, and responsible AI
Collaborate with enterprise partners to deliver secure, scalable, and compliant AI solutions
Promote reuse of enterprise platforms, components, and best practices
Represent Corporate Functions AI initiatives in governance and portfolio forums
Requirements
8+ years of experience in data science, AI/ML engineering, or applied machine learning, including leadership of large-scale AI initiatives
Hands-on expertise with Python, cloud-based ML platforms, MLOps, vector databases, LLMOps, and modern AI development frameworks
Experience with Agentic AI strongly preferred
Experience delivering AI solutions within financial crime prevention, fraud detection, or similarly regulated environments
Experience partnering with Corporate Functions and driving business transformation through technology
Knowledge of Financial Services Authority (FSA) or comparable regulatory frameworks
Proven ability to lead and develop high-performing multidisciplinary teams
Strong executive communication and stakeholder management skills
Ability to translate complex technical concepts into business value
Ability to operate effectively in a global, matrixed environment
Bachelor's degree in Computer Science, Engineering, Data Science, or a related field
Advanced degree preferred
Benefits
Flexible work environment
Well-being and inclusion support
Health benefits
Dental benefits
Mental health benefits
Vision benefits
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 in Canada
Statutory leaves of absence
Incentive programs and incentive compensation tied to business and individual performance
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