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Manulife

Director, AI Solutioning

Manulife

. Lead the AI Solutioning practice for Canada AI, establishing frameworks, governance, and operating rhythms for consistent AI opportunity evaluation .

Posted 10/19/2026full-timeToronto • CanadaLead💰 CA$113,260 - CA$210,340 per yearWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in AI Solutioning, including the development of frameworks, governance, and strategic alignment of AI initiatives with business objectives. Proven ability to lead cross-functional teams, facilitate decision-making, and communicate complex technology concepts effectively to senior leadership.

Highest-signal resume keywords
AI Strategy DevelopmentCross-Functional Team LeadershipBusiness Case DevelopmentExecutive CommunicationAI Governance and Compliance

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Artificial IntelligenceMachine LearningData ScienceBusiness Case DevelopmentInvestment ProposalsStrategic RoadmapsPerformance MetricsTechnology EvaluationRisk AssessmentPortfolio Management
Soft Skills
Stakeholder ManagementFacilitationConsultative Problem-SolvingStorytellingPresentation Skills
Tools & Technologies
Cloud PlatformsData EcosystemsAI Development ApproachesEnterprise Technology Architectures
Industry Keywords
Financial ServicesInsuranceBankingRegulated IndustriesManagement ConsultingStrategic Advisory ServicesCorporate StrategyInnovation Management

Tech Stack

Tools & technologies
Cloud

About the role

Key responsibilities & impact
  • Lead the AI Solutioning practice for Canada AI, establishing frameworks, governance, and operating rhythms for consistent AI opportunity evaluation
  • Partner with Business Unit leaders to identify, prioritize, and shape AI opportunities aligned to strategic objectives and business outcomes
  • Facilitate AI planning and roadmap development during annual and quarterly planning cycles
  • Lead structured assessments of AI initiatives, evaluating business value, feasibility, data readiness, implementation complexity, adoption considerations, and risks
  • Translate business challenges into AI problem statements, measurable success metrics, and execution-ready scopes
  • Develop business cases and executive recommendations covering benefits, investment requirements, implementation considerations, risks, and alternatives
  • Guide build, buy, partner, or integrate decisions using market intelligence, vendor assessments, and industry trends
  • Monitor emerging AI capabilities, competitive developments, and technology market trends relevant to Manulife
  • Establish and maintain standardized AI opportunity intake, scoring, and prioritization frameworks
  • Support leadership teams with portfolio-level insights on strategic fit, value potential, delivery capacity, and investment priorities
  • Lead cross-functional solutioning sessions aligning business and technical teams on problems, solution options, recommendations, accountabilities, and delivery paths
  • Build partnerships across business functions, Canada AI, Technology, Operations, Data Office, Architecture, Risk, Security, and Compliance
  • Lead, coach, and develop solutioning professionals
  • Promote Responsible AI by incorporating governance, privacy, security, regulatory, and ethical requirements
  • Contribute to Canada AI's operating model, planning, portfolio management, and value realization processes
  • Drive alignment to ensure solutions are technically feasible, operationally scalable, appropriately governed, and ready for delivery
  • Report to the AVP, AI Solutioning and support implementation of the Canada AI Solutioning strategy, governance model, and engagement framework
  • Establish consistent value realization and progress reporting across the AI portfolio
  • Translate technical delivery progress into business-focused narratives about objectives, strategic priorities, customer outcomes, operational performance, and growth
  • Consolidate information from delivery teams, initiative owners, and enabling partners on AI initiatives and business impact
  • Deliver strategic portfolio updates for General Managers, Leadership Teams, and senior executives covering roadmap progress, accomplishments, opportunities, risks, and priorities

Requirements

What you’ll need
  • Bachelor's degree in Business, Engineering, Computer Science, Data Science, Artificial Intelligence, Analytics, or a related discipline
  • Minimum 8 years of experience in strategy, management consulting, AI, analytics, technology, digital transformation, or related advisory functions
  • Minimum 3 years of experience leading cross-functional teams, strategic initiatives, or enterprise programs
  • Strong understanding of AI, machine learning, generative AI, and emerging agentic AI capabilities, including strengths, limitations, risks, and business applications
  • Experience developing business cases, investment proposals, operating models, or strategic roadmaps
  • Experience evaluating technology opportunities from business, operational, financial, and risk perspectives
  • Proven ability to influence senior leaders and facilitate decision-making across diverse stakeholder groups
  • Strong executive communication, storytelling, and presentation skills
  • Ability to translate complex technology concepts into practical business recommendations
  • Experience defining success measures, value frameworks, and outcome-based performance metrics
  • Exceptional facilitation, stakeholder management, and consultative problem-solving skills
  • Preferred: advanced degree
  • Preferred: experience leading AI strategy, innovation, transformation, or solutioning functions within financial services, insurance, banking, or other regulated industries
  • Preferred: background in management consulting, strategic advisory services, corporate strategy, enterprise architecture, product strategy, or innovation management
  • Preferred: familiarity with AI governance, Responsible AI, privacy, security, model risk management, and regulatory considerations
  • Preferred: experience evaluating vendor solutions, conducting RFPs, or leading technology selection processes
  • Preferred: knowledge of cloud platforms, data ecosystems, AI development approaches, and enterprise technology architectures
  • Preferred: experience establishing portfolio management, prioritization, or investment governance frameworks
  • Preferred: demonstrated experience building new capabilities, operating models, or centres of excellence

Benefits

Comp & perks
  • Flexible work environment
  • Health insurance
  • Dental insurance
  • Mental health benefits
  • Vision insurance
  • Short- and long-term disability coverage
  • 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
  • Incentive programs and incentive compensation tied to business and individual performance
  • Learning and career growth support
  • Diversity, inclusion, and reasonable accommodation support