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Avp, ai delivery

Job in Toronto, Ontario, C6A, Canada
Listing for: Société Financière Manuvie
Full Time position
Listed on 2026-08-06
Job specializations:
  • Management
    AI Business & Operations, Change Management
  • IT/Tech
    AI Business & Operations, Change Management
Salary/Wage Range or Industry Benchmark: 130000 - 241000 CAD Yearly CAD 130000.00 241000.00 YEAR
Job Description & How to Apply Below

The Opportunity

Reporting to the Head of AI, Canada, the role leads the Canada AI Delivery function and is responsible for transforming approved priorities into scalable, production-ready solutions that deliver measurable business value. The successful candidate will oversee multidisciplinary teams and work closely with business leaders, technology partners, data teams, and AI practitioners to accelerate the delivery of innovative AI-powered capabilities.

This role sits at the intersection of business transformation, technology, and execution. It requires a leader who can translate strategic ambition into outcomes, navigate complex cross-functional environments, and build the delivery capabilities required to scale AI at enterprise level. Success in this role requires balancing speed, innovation, and operational excellence while ensuring AI solutions are scalable, reusable, responsible, and aligned to business objectives.

Unlike traditional delivery leadership roles focused on project execution, this role is responsible for helping Canada AI evolve from delivering individual AI use cases to building scalable, reusable AI capabilities that drive enterprise-wide impact. The AVP will play a critical role in establishing modern AI delivery practices, accelerating organizational maturity, and enabling the next generation of AI-powered business outcomes across Manulife Canada.

Position

Responsibilities Build and Scale Canada's AI Delivery Capability

Lead the evolution of Canada AI's delivery organization, establishing the people, processes, operating model, and execution disciplines required to deliver AI solutions with speed, quality, rigor, and consistency at enterprise scale.

Accelerate AI-Powered Business Outcomes

Lead multidisciplinary teams responsible for transforming business priorities into deployed and adopted AI solutions, ensuring initiatives move beyond experimentation and deliver measurable value for customers, advisors, employees, and business partners.

Drive Modern AI Delivery Practices

Champion agile delivery, rapid prototyping, iterative development, product‑centric thinking, and continuous improvement practices that increase delivery velocity, predictability, and execution quality while fostering a culture of accountability and innovation.

Build Reusable and Scalable AI Capabilities

Drive the transition from one-time AI use cases to reusable products, platforms, and capabilities that can be leveraged across multiple business units, creating greater efficiency, consistency, and enterprise impact.

Lead Enterprise Delivery Across Complex Stakeholder Ecosystems

Partner across business, technology, data, operations, risk, and global AI teams to align priorities, resolve barriers, manage dependencies, and ensure successful execution of strategic AI initiatives.

Develop High‑Performing Teams and Future Leaders

Build and mentor exceptional delivery leaders and multidisciplinary teams while strengthening organizational capabilities, succession depth, and delivery excellence across the Canada AI function.

Required Qualifications
  • 12+ years of progressive leadership experience delivering large‑scale technology, digital, data, analytics, AI, or business transformation initiatives within complex enterprise environments.

  • Proven experience leading multidisciplinary teams responsible for delivering solutions from concept through deployment, adoption, operationalization, and value realization.

  • Demonstrated success building and scaling modern delivery organizations, including agile teams, delivery governance, operating models, and execution disciplines that improve speed, predictability, and business outcomes.

  • Experience leading the delivery of enterprise AI, machine learning, generative AI, intelligent automation, or advanced analytics solutions in production environments.

  • Strong understanding of modern AI technologies and delivery approaches, including machine learning, generative AI, agentic AI, cloud‑based platforms, rapid prototyping, iterative development, and product‑centric delivery models.

  • Demonstrated experience transforming organizations from project‑based delivery approaches toward product, platform, or…

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