Toronto, ON Full time CA$70,000 - CA$150,000 / year

AI Enablement Manager

Location: Toronto, ON

Employment type: Full-time

Salary: $70,000–$150,000 per year

About the role

The AI Enablement Manager develops and manages MCSI’s artificial intelligence opportunity funnel, partnering with business teams to identify, assess, and advance high-value, business-owned AI opportunities. The role coordinates across business, technology, governance, and risk partners, and supports opportunities through approval, delivery coordination, release, and early adoption.

Responsibilities

- Facilitate discovery with business teams to define problems, users, outcomes, value, requirements, and readiness.
- Manage the AI opportunity funnel, assess opportunity quality and readiness, and prepare qualified opportunities for portfolio and decision forums.
- Coordinate lifecycle reviews, documentation, requirements, dependencies, decisions, and readiness activities across business and enabling partners.
- Support business owners with approved pilots, capability releases, adoption planning, and early feedback.
- Stay informed about approved enterprise and third-party AI capabilities; advise on suitability, intended uses, and limitations.
- Develop practical demonstrations, guidance,



and learning materials to support responsible use and adoption of approved AI capabilities.
- Track funnel health and use-case progress, identify barriers, communicate status, and recommend improvements to processes, tools, and guidance.

Qualifications

- Typically five or more years of relevant experience and a post-secondary degree in a related field, or an equivalent combination of education and experience.
- Experience in product discovery or business analysis, with experience in areas such as innovation, strategic initiatives, capability enablement, consulting, or technology delivery.
- Experience defining business needs, qualifying opportunities, developing requirements, and coordinating complex initiatives across business and technical partners.
- Working knowledge of AI concepts and enterprise AI capabilities, and familiarity with product discovery, portfolio management, or solution delivery practices.
- Experience developing or delivering demonstrations, learning materials, workshops, or capability education.Familiarity with responsible AI, technology risk, data, privacy, and governance in regulated environments is an asset.
- Strong analytical, communication, facilitation, presentation, and stakeholder-management skills.

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