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ManulifePosted 2 weeks ago

AVP, Global Operations AI

$129,800–$241,200 year

HybridToronto, Ontario, Canada

Full TimeEnterprise

Job Summary

Set and execute the Global Operations AI strategy across 14 countries, translating enterprise vision into operational priorities and validating opportunities through structured pilots before scaling investments. Own the AI portfolio benefit targets, KPIs, and value realization, ensuring measurable operational impact and reporting progress to senior leadership. Lead the Global Operations AI roadmap, prioritizing initiatives and sequencing delivery across products and reusable capabilities while driving global AI reskilling and workforce transformation programs. Define and track success metrics including adoption, operational impact, efficiency gains, and reliability, ensuring solutions meet technology, risk, and governance requirements before release. Serve as the escalation point for delivery challenges and drive resolution across stakeholders, monitoring AI trends and competitor activity to inform strategic priorities.

Required Qualifications

  • 10+ years of experience in product leadership, technology delivery, platform programs, and/or AI-enabled transformation, preferably in regulated industries
  • Proven track record delivering complex products or platforms into production with measurable outcomes, including release planning and dependency management
  • Experience operating at enterprise scale across multiple geographies or business units, including setting targets and holding accountability for benefit realization
  • Strong ability to lead cross-functionally in matrixed environments and communicate clearly with senior stakeholders
  • Strong experience in quantitative modeling, scenario analysis, and business case development
  • Working knowledge of modern AI solution patterns (e.g., LLM-enabled assistants, intelligent document processing, agent-based workflows) and production readiness considerations
  • Hands-on orientation with AI productivity tools and agentic workflows; personally comfortable using LLM-connected enterprise tools to accelerate strategy, reporting, and synthesis work

Desired Qualifications

  • Experience evolving operating models from project-based to product/platform delivery
  • Familiarity with MLOps/LLMOps concepts, evaluation approaches, monitoring, and model governance practices
  • Experience influencing people strategy, workforce transformation, or AI reskilling programs in a tech/operations context
  • Demonstrated ability to validate strategic hypotheses through pilots and translate early wins into enterprise momentum
  • Advanced degree or equivalent experience in engineering, computer science, data science, or business

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