Manager, AI Governance and Enablement

Michael Page; Toronto; On-site; CAD 150,000 - 210,000; Full time

Job summary

Michael Page is seeking a senior AI governance leader for a Toronto-based enterprise role focused on governance, risk, and enablement. You will guide responsible AI use, align AI initiatives with privacy and security standards, and partner with legal, privacy, and technology teams to scale AI responsibly.

The role emphasizes executive reporting, cross-functional collaboration, and ongoing governance improvement to realize measurable business value across the organization.

Qualifications

• 8+ years of progressive experience in technology, digital transformation, or technology advisory.
• 5+ years across AI governance, adoption and enablement, people enablement and training, and hands-on AI solution development.
• Experience with large language models, AI agents, multimodal AI technologies, and AI-enabled business solutions, with strong privacy, cybersecurity, and risk management knowledge.
• The ideal candidate is pragmatic, collaborative, and highly organized, balancing innovation with governance.

Responsibilities

• 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.

Skills

AI governance

Tech advisory

Digital transformation

Stakeholder engagement

Risk management

Education

Post-secondary in CS/Data/IS/Business/Risk/Privacy

Job description

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