Manager, AI Governance and Enablement

Job summary

Lead the enterprise AI governance framework, including policies, risk assessments, approvals, vendor standards, and controls for AI tools and solutions. Drive responsible AI adoption through training, business advisory, cross-functional coordination, use-case tracking, executive reporting, and continuous improvement of the AI operating model.

Job details

This role leads AI governance, education, advisory services, and adoption across the organization, ensuring AI initiatives align with privacy, security, risk, and business objectives. The successful candidate will guide responsible AI use, support enterprise-wide enablement, advise stakeholders on AI opportunities, and help scale practical, controlled AI innovation. Client Details Company in real estate in Toronto. Description Lead and enhance the enterprise AI governance framework, policies, and guardrails. Manage AI intake, risk assessment, approval, and review processes. Partner with Privacy, Cybersecurity, Legal, and Technology teams to ensure compliant AI adoption. Develop governance standards for third-party AI vendors and solutions. Design and deliver AI training, awareness, and enablement programs. Create AI playbooks, guidance, templates, and best practices. Advise business teams on AI opportunities, use cases, tool selection, and implementation. Promote responsible AI adoption across the organization. Assess and mitigate AI-related risks including privacy, bias, data leakage, and automation risks. Establish governance controls for multimodal AI, AI agents, and connected enterprise AI solutions. Lead AI enablement initiatives and coordinate cross-functional stakeholders. Maintain the AI use case and risk register. Prepare executive reporting on AI adoption, governance, risks, and business value. Manage relationships with AI platform vendors, consultants, and training partners. Drive continuous improvement of the organization's AI operating model. Profile 8+ years of progressive professional experience in technology, digital transformation, technology advisory, or a closely related field. 5+ years of combined, demonstrable experience across AI governance, AI adoption and enablement, people enablement and training, and hands-on AI solution development. Demonstrated experience with large language models, AI agents, multimodal AI technologies, and AI-enabled business solutions, alongside a strong understanding of privacy, cybersecurity, compliance, and risk management principles. The ideal candidate will be pragmatic, collaborative, and highly organized, balancing innovation with governance while helping teams confidently adopt AI in a responsible and business-aligned manner. Education Post-secondary education in Computer Science, Data, Information Systems, Business, Risk, Privacy, or a related discipline is preferred. Coursework, certifications, or professional development in AI governance, privacy, risk, responsible AI, or change management are assets. Job Offer Opportunity to shape and lead the organization's enterprise AI governance and enablement strategy. High visibility role partnering with senior leaders across technology, operations, privacy, cybersecurity, and business functions. Exposure to emerging AI technologies, including large language models, AI agents, multimodal AI, and enterprise integrations. Ability to influence enterprise-wide AI adoption, risk management practices, and organizational readiness initiatives. Broad scope to drive innovation, establish standards, deliver education programs, and create measurable business impact through responsible AI. MPI does not discriminate on the basis of race, religion, sex, sexual orientation, gender identity or expression, age, disability, marital status, or based on an individual's status in any group or class otherwise protected under applicable human rights legislation. MPI encourages applications from minorities, women, the disabled and all other qualified applicants

What you’ll do

Lead the enterprise AI governance framework, including policies, risk assessments, approvals, vendor standards, and controls for AI tools and solutions. Drive responsible AI adoption through training, business advisory, cross-functional coordination, use-case tracking, executive reporting, and continuous improvement of the AI operating model.

Requirements

Requires 8+ years of progressive experience in technology, digital transformation, advisory, or a related field, including 5+ years of combined experience in AI governance, adoption and enablement, training, and hands-on AI solution development. Candidates should have experience with large language models, AI agents, multimodal AI, and AI-enabled business solutions, plus knowledge of privacy, cybersecurity, compliance, and risk management; related post-secondary education is preferred.

Listed skills

• Compliance · Preferred
• Change Management · Preferred
• Executive Reporting · Preferred

Other relevant skills

Identified from the job description. Confirm important requirements above.

• AI Governance
• AI Enablement
• Responsible AI
• Large Language Models
• AI Agents
• Multimodal AI
• AI Risk Assessment
• Privacy
• Cybersecurity
• Compliance
• Stakeholder Advisory
• AI Training
• AI Solution Development
• Vendor Management
• Change Management
• Executive Reporting

Job areas

• Technology
• Management & Leadership
• Security & Safety
• Consulting
• Data & Analytics

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