Director, AI Governance & Enablement

Michael Page (Canada); Toronto; On-site; CAD 140,000 - 200,000; Full time

Job summary

Michael Page (Canada) is seeking a seasoned leader to drive enterprise AI governance across the organization in Toronto. You will shape policies, manage risk, and partner with executives to align AI strategy with business goals.

The role requires deep experience in governance, privacy, and cross-functional enablement, with a pragmatic approach to responsible AI adoption in a real estate context.

Qualifications

• 8+ years of progressive experience in technology or related field.
• 5+ years across AI governance, adoption, enablement, and training.
• Experience with large language models, multimodal AI, and AI-enabled solutions.

Responsibilities

• Lead enterprise AI governance framework, policies, and guardrails.
• Manage AI intake, risk assessment, approval, and review processes.
• Partner with Privacy, Cybersecurity, Legal, and Technology teams for compliant AI adoption.
• Develop governance standards for third-party AI vendors and solutions.
• Design and deliver AI training, awareness, and enablement programs.
• Prepare executive reporting on AI adoption, governance, risks, and value.

Skills

AI governance

Risk management

Stakeholder enablement

Privacy and compliance

Executive partnership

Education

Post-secondary in CS, Data, Info Systems, or related

Tools

LLMs & AI platforms

Risk frameworks

Job description

• Lead enterprise AI governance and shape responsible AI adoption company-wide.
• Partner with executives to drive AI strategy, education, and innovation

About Our Client

Company in real estate in Toronto.

Job 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.

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

The Successful Applicant

• 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

1. Post-secondary education in Computer Science, Data, Information Systems, Business, Risk, Privacy, or a related discipline is preferred.
2. Coursework, certifications, or professional development in AI governance, privacy, risk, responsible AI, or change management are assets.

What's on 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.