AI Learning & Enablement Lead

Accountabilities

• • Design and deliver AI learning programs, workshops, office hours, microlearning, manager sessions, learning campaigns, and community-of-practice resources.
  • Build role-based learning pathways in partnership with HR, Talent, and business stakeholders to address evolving AI-related capability needs.
  • Develop practical enablement materials for approved AI platforms such as Claude, Microsoft Copilot, Perplexity, and similar tools.
  • Create prompt examples, use-case guides, quick-reference resources, job aids, facilitation materials, and reusable AI playbooks for non-technical audiences.
  • Teach employees how to apply AI responsibly to common business activities such as drafting, summarization, analysis, meeting preparation, communications, and learning design.
  • Develop quality checklists and guidance covering AI output accuracy, completeness, usefulness, tone, evidence, source validation, and appropriate next steps.
  • Reinforce human judgment, review, accountability, and responsible use when employees incorporate AI into their work.
  • Partner with stakeholders across HR, Technology, Legal, Information Security, Communications, and business functions to ensure learning content reflects approved AI practices.
  • Facilitate virtual and in-person sessions, workshops, peer-learning discussions, and adoption initiatives for employees, managers, and functional teams.
  • Support AI champions, learning ambassadors, and function-specific adoption programs.
  • Track participation, completion, learner feedback, proficiency indicators, and practical adoption signals to evaluate program effectiveness.
  • Use learner insights and adoption patterns to continuously improve learning content, resources, and enablement programs.
  • Coordinate learning calendars, program launches, stakeholder inputs, communications, and ongoing adoption activities.
  • Escalate questions concerning AI risk, governance, privacy, security, or prohibited use to the appropriate subject matter experts.

  Requirements

  • 7–10 years of experience in Learning & Development, Talent Development, Enablement, Organizational Development, Change Management, or a related discipline.
  • Proven experience designing and delivering learning programs, workshops, job aids, scalable enablement resources, and role-based learning experiences.
  • Demonstrated experience supporting enterprise technology adoption, digital capability-building, change initiatives, or workforce upskilling programs.
  • Hands-on experience with AI tools such as Claude, Microsoft Copilot, Perplexity, or comparable enterprise AI platforms.
  • Strong practical knowledge of prompt writing, AI output evaluation, responsible AI practices, and human-in-the-loop review.
  • Ability to translate AI concepts into clear, practical resources and teach non-technical audiences how to apply AI effectively.
  • Strong instructional design, facilitation, communication, stakeholder management, and program coordination capabilities.
  • Strong project management discipline, including planning, content development, stakeholder coordination, and execution.
  • Ability to operate independently while remaining aligned with enterprise AI guidance, policies, and stakeholder priorities.
  • Comfortable facilitating both virtual and in-person learning experiences for employees, managers, and functional teams.
  • Ability to synthesize learner and program insights into clear recommendations for HR, Talent, and business stakeholders.
  • Bachelor's degree required; a master's degree in Learning, Organizational Psychology, Leadership, Talent Development, Business, HR, or a related field is preferred.
  • Experience with AI adoption, digital transformation, change management, workforce upskilling, learning communities, or manager enablement is an asset.
  • Familiarity with responsible AI, AI governance, data privacy, or information security principles as they relate to employee learning is preferred.

  Benefits

  • Competitive salary: CAD $100,000–$120,000 annually, with the final offer dependent on location, skills, knowledge, and experience.
  • Potential eligibility for a discretionary incentive program.
  • Comprehensive medical and other benefits, subject to full-time employment status.
  • Fully remote work environment within Canada, with the role based in Ontario.
  • Collaborative and inclusive culture that values expertise, curiosity, ownership, and continuous development.
  • Professional growth opportunities through learning, development, and career-focused programs.
  • Opportunities to participate in leadership development, high-potential programs, and experiential learning initiatives.
  • Access to a global professional community and opportunities to collaborate across functions and regions.
  • Opportunity to make a measurable impact on enterprise AI adoption and how employees work with emerging technologies.
  • Accessibility accommodations are available throughout the recruitment and selection process upon request.