Posted 17 days ago
Director, AI Governance and Enablement
@ Michael Page
Toronto, Ontario
SIGNALS
Overview
Michael Page is hiring a Director, AI Governance and Enablement for a real estate client in Toronto. The role leads the enterprise AI governance framework, AI risk and approval processes, training and enablement, and executive reporting on AI adoption. It is a full-time position.
Responsibilities:
- Lead enterprise AI governance framework, policies and guardrails
- Manage AI intake, risk assessment and approval processes
- Design and deliver AI training and enablement programs
- Advise business teams on AI use cases and tool selection
- Prepare executive reporting on AI adoption and risk
Requirements summary:
- 8+ years progressive experience in technology or digital transformation
- 5+ years across AI governance, adoption, enablement and AI development
- Experience with large language models, AI agents and multimodal AI
- Strong understanding of privacy, cybersecurity and compliance
- Post-secondary education in a related discipline preferred
Source and dates
Source type not verified · apify-linkedin
- Employer posting date
- 2026-10-28
- First seen by our source
- 2026-11-15
- Source record updated
- 2026-11-15
These dates describe the source record, not a live verification that the employer is still hiring. Check the original posting.
Job details
| Seniority | Director |
| Department | Business operations |
| Experience | 8+ years |
| Manages people | Yes |
| Hours per week | 40 (estimated) |
| Work setting | Office |
| Position | Mostly sitting |
| Physical demands | physical low · computer high |
| Encouraged to apply | Women |
| Education | Bachelor’s degree (preferred) |
| Fields of study | Computer Science, Data, Information Systems, Business, Risk |
Summary and details written by AI from the posting; the employer’s posting is the authority.
Michael Page
| Field | Value |
|---|---|
| Open jobs on Jobsy | 50 |
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.
- 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.
Journal
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