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 prospect 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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