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About the Role

The role leads the Canada AI Delivery function, transforming priorities into scalable, production-ready solutions that deliver measurable business value. It oversees multidisciplinary teams and collaborates with leaders, partners, and practitioners to accelerate AI-powered capabilities. This position requires translating strategic ambition into outcomes, navigating complex environments, and building capabilities to scale AI enterprise-wide, balancing speed, innovation, and operational excellence.

Responsibilities

• Build and Scale Canada's AI Delivery Capability: Lead the evolution of Canada AI's delivery organization, establishing people, processes, operating model, and execution disciplines for enterprise-scale AI solution delivery.
• Accelerate AI-Powered Business Outcomes: Lead multidisciplinary teams in transforming business priorities into deployed AI solutions, ensuring initiatives deliver measurable value.
• Drive Modern AI Delivery Practices: Champion agile delivery, rapid prototyping, iterative development, product-centric thinking, and continuous improvement.
• Build Reusable and Scalable AI Capabilities: Drive the transition from one-time AI use cases to reusable products, platforms, and capabilities for enterprise-wide impact.
• Lead Enterprise Delivery Across Complex Stakeholder Ecosystems: Partner across business, technology, data, operations, risk, and global AI teams to align priorities and manage dependencies.
• Develop High-Performing Teams and Future Leaders: Build and mentor delivery leaders and multidisciplinary teams, strengthening organizational capabilities and delivery excellence.

Requirements

• 12+ years of progressive leadership experience delivering large-scale technology, digital, data, analytics, AI, or business transformation initiatives.
• 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.
• 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 capability-based operating models.
• Experience designing, delivering, or scaling reusable technology products, platforms, or enterprise capabilities.
• Proven ability to lead complex cross-functional initiatives involving business, technology, data, risk, operations, and external partners.
• Experience working across global or distributed teams, leveraging shared enterprise platforms and capabilities.
• Strong understanding of Responsible AI principles, model governance, risk management, privacy considerations, and regulatory requirements.
• Proven ability to influence executive stakeholders and communicate complex technology and AI concepts to both technical and non-technical audiences.
• Experience leading leaders, building high-performing teams, and developing organizational capability within large, matrixed organizations.

Skills

• AI
• Machine Learning
• Generative AI
• Intelligent Automation
• Advanced Analytics
• Agile Delivery
• Rapid Prototyping
• Iterative Development
• Product-Centric Thinking
• Responsible AI
• Model Governance
• Risk Management
• Privacy Considerations
• Cross-functional Leadership
• Team Leadership
• Stakeholder Management

Location

• CAN, Ontario, Toronto, 250 Bloor Street East

Work Type

• Hybrid

Experience Level

• 12+ years of progressive leadership experience

Education Level

• Bachelor's degree in Computer Science, Engineering, Data Science, Mathematics, Business, or a related field.
• Advanced degrees such as an MBA, Master's in Artificial Intelligence, Data Science, Engineering, or related disciplines are considered an asset.

Salary/Compensations

• $129,800.00 CAD - $241,200.00 CAD

Benefits

• Opportunity to learn and grow career.
• Flexible environment with recognized and supported well-being and inclusion.
• Support in shaping the future.
• Health, dental, mental health, vision, short- and long-term disability, life and AD&D insurance coverage.
• Adoption/surrogacy and wellness benefits.
• Employee/family assistance plans.
• Retirement savings plans (including pension and a global share ownership plan with employer matching contributions).
• Financial education and counseling resources.
• Holidays, vacation, personal, and sick days.
• Full range of statutory leaves of absence.

About the Company

• Manulife Financial Corporation is a leading international financial services provider, helping people make their decisions easier and lives better.
• To learn more about us, visit https://www.manulife.com/en/about/our-story.html.

Equal Opportunity

• Manulife is an Equal Opportunity Employer.
• At Manulife/John Hancock, we embrace our diversity.
• We strive to attract, develop and retain a workforce that is as diverse as the customers we serve and to foster an inclusive work environment that embraces the strength of cultures and individuals.
• We are committed to fair recruitment, retention, advancement and compensation, and we administer all of our practices and programs without discrimination on the basis of race, ancestry, place of origin, colour, ethnic origin, citizenship, religion or religious beliefs, creed, sex (including pregnancy and pregnancy-related conditions), sexual orientation, genetic characteristics, veteran status, gender identity, gender expression, age, marital status, family status, disability, or any other ground protected by applicable law.
• It is our priority to remove barriers to provide equal access to employment.
• A Human Resources representative will work with applicants who request a reasonable accommodation during the application process.
• All information shared during the accommodation request process will be stored and used in a manner that is consistent with applicable laws and Manulife/John Hancock policies.
• To request a reasonable accommodation in the application process, contact hr@manulife.com.