Director, Global Technology & Operations Strategy & Transformation at Manulife in Toronto, ON

  • Company: Manulife
  • Location: Toronto, Ontario
  • Salary: $113K – $210K
  • Job type: full time
  • Workplace: hybrid
  • Posted: 2026-10-30

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Job description

The Director, Global Technology & Operations Strategy & Transformation will help shape and execute strategic priorities across Global Technology & Operations (GTO), with a significant focus on leading the AI program and translating strategy into measurable business outcomes. The Director will lead the AI program across GTO, bringing together strategy, business case development, funding, program governance, technical delivery, adoption, and value realization. This includes managing AI program funding, ensuring funding is directed to the appropriate initiatives and teams, and maintaining visibility into how initiatives are progressing against delivery commitments, defined success criteria, and approved budgets. Working closely with the VP of GTO and senior stakeholders across Business, Technology, Enterprise AI, Finance, and Risk, the Director will provide an integrated view of the AI program, drive accountability across teams, identify areas requiring leadership attention, and enable informed decisions on priorities, funding, execution, and outcomes. The Director will also help shape how GTO delivers its AI agenda, establishing approaches to prioritize and sequence initiatives, accelerate execution, and scale reusable AI capabilities across segments and countries. This includes helping establish a practical path from opportunity identification through development, production, and adoption, while focusing resources on initiatives that can deliver the greatest strategic and business impact. Position Responsibilities GTO Strategy & Transformation: Partner with the VP of GTO and senior leaders to translate strategic priorities into executable strategies, roadmaps, initiatives, and measurable outcomes. Connect priorities across teams, identify opportunities and risks, and provide insights and recommendations to support executive decision-making. AI Program Leadership & Governance: Lead the end-to-end AI and Automation program across GTO, establishing a single integrated view of initiatives, priorities, dependencies, funding, and outcomes. Establish program governance and operating rhythms and work across Product Owners, Segment Leads, Technology, and business and functional partners to drive execution, alignment, and accountability. AI Strategy, Prioritization & Delivery Approach: Help define how GTO identifies, assesses, prioritizes, sequences, and delivers AI initiatives. Develop practical prioritization and delivery approaches that consider strategic alignment, business value, delivery readiness, scalability, complexity, funding requirements, dependencies, and risk. Continuously assess the portfolio to ensure resources remain focused on the highest-value opportunities and identify where initiatives should be accelerated, repositioned, or deprioritized. Business Case & AI Program Funding: Lead the planning, mobilization, and partner engagement required to develop business cases for AI execution and future funding, including cost-benefit analysis, expected outcomes, success criteria, delivery requirements, and risk considerations. Manage AI program funding and recommend allocation or reallocation across initiatives and teams based on strategic priorities, expected value, delivery readiness, and performance. Delivery Excellence, Performance & Value Realization: Oversee AI initiatives across technical delivery, business outcomes, adoption, success criteria, budget utilization, risks, and dependencies. Assess whether initiatives are delivering against their original commitments, drive accountability for results, and identify where intervention, reprioritization, or funding adjustments are required. Ensure realized outcomes can be traced back to approved business cases and defined success measures. Executive Reporting & Stakeholder Management: Provide the VP of GTO and senior leadership with a consolidated view of the AI program, including roadmap progress, funding utilization, delivery performance, value realization, risks, dependenci

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