AI Learning & Enablement Lead

Dynata; Toronto; On-site; CAD 100,000 - 120,000; Full time

Job summary

Dynata is seeking an AI Learning & Enablement Lead to design and deliver practical learning programs, enablement resources, and adoption support that help employees and leaders use approved AI tools more effectively. This role focuses on usable learning experiences, prompt resources, workshops, and role-based enablement for tools such as Claude, Microsoft Copilot, Perplexity, and other approved platforms.

The successful candidate will bring strong learning design, facilitation, change support,

Qualifications

• Experience in Learning & Development or Enablement, creating scalable learning resources and workshops.
• Hands-on AI tools experience (Claude, Copilot, Perplexity) and ability to teach non-technical audiences.
• Strong facilitation, instructional design, communications, and program coordination skills.

Responsibilities

• Design and deliver AI curricula, office hours, microlearning, and manager sessions.
• Create prompt examples, use-case guides, job aids, and quick-reference tools.
• Develop role-based learning pathways and adoption campaigns in partnership with HR and business stakeholders.
• Generate practical checklists and guidance to ensure quality AI outputs and responsible use.
• Lead learning campaigns, workshops, and communities of practice content.
• Track learning participation and outcomes for continuous program improvement.

Skills

Learning design

Facilitation

Change management

Program coordination

Cross-functional collaboration

AI tool experience

Education

Bachelor's degree

Master's degree

Tools

Claude

Microsoft Copilot

Perplexity

Job description

Dynata is seeking a AI Learning & Enablement Lead to design and deliver practical learning programs, enablement resources, and adoption support that help employees and leaders use approved AI tools more effectively. This role will focus on building usable learning experiences, prompt resources, quality checklists, workshops, office hours, and role-based enablement materials for tools such as Claude, Microsoft Copilot, Perplexity, and other approved platforms. This is a learning, enablement, and adoption role. It is not a technical AI engineering role. The role will partner with HR, Technology, Legal, Information Security, Communications, and business stakeholders to ensure learning content reflects approved AI practices and helps teams improve the quality of AI-assisted work. The successful candidate will bring strong learning design, facilitation, change support, and hands-on AI tool experience, with the ability to translate AI concepts into practical resources employees can use in the flow of work.

Key Responsibilities

• AI Learning & Enablement Program Execution Support implementation of Dynata's AI enablement priorities through learning programs, workshops, campaigns, and practical resources. Design and deliver AI curricula, office hours, microlearning, manager sessions, learning campaigns, and community-of-practice content. Build role-based learning pathways for priority employee groups in partnership with Talent, HR, and business stakeholders. Translate AI concepts into clear, practical learning materials that employees can apply to real work. Coordinate learning calendars, program launches, stakeholder inputs, and adoption support activities.
• AI Tool Enablement & Practical Application Develop enablement content for Claude, Microsoft Copilot, Perplexity, and other approved enterprise AI tools. Create prompt examples, use-case guides, facilitation materials, quick-reference tools, and job aids. Help employees understand when and how to use AI tools appropriately, including where human review is required. Support teams in applying AI to common work activities such as drafting, summarizing, analysis support, meeting preparation, communications, and learning design. Gather feedback from learners and stakeholders to improve AI enablement content over time.
• AI Quality & Output Support Create practical checklists and guidance to help employees review AI outputs for accuracy, completeness, usefulness, tone, evidence, and next steps. Teach prompt writing, output review, source validation habits, and responsible use behaviors through learning experiences and job aids. Build reusable playbooks that help teams reduce low-quality AI outputs and improve consistency. Partner with subject matter experts to validate examples and align materials with approved practices. Reinforce that AI-assisted work requires employee judgment, review, and accountability.
• Upskilling and Role-Based Learning Support Partner with HR and business stakeholders to identify AI-related learning needs for priority roles and functions. Develop learning solutions that support employees as work expectations evolve due to AI and automation. Contribute to upskilling resources that help employees build confidence using AI tools responsibly and effectively. Support, but do not own, broader reskilling or workforce planning efforts led by HR, Talent, or business leadership. Maintain practical learning assets that can be updated as tools, policies, and use cases evolve.
• Stakeholder Partnership & Change Support Collaborate with business stakeholders, HR partners, Communications, Technology, Legal, and Information Security to align enablement content with approved guidance. Facilitate learning sessions, workshops, and peer-learning discussions for managers and employees. Support AI champions, learning ambassadors, and function-specific adoption efforts. Contribute to communications and adoption materials that explain available AI learning resources. Escalate questions related to AI risk, governance, privacy, or prohibited use to the appropriate subject matter owners.
• Learning Measurement & Continuous Improvement Track learning participation, learner feedback, completion, proficiency self-assessments, and practical adoption indicators. Summarize program results and learner insights for Talent and business stakeholders. Use feedback and adoption patterns to refine learning content, job aids, and enablement programs. Contribute to, but do not own, broader enterprise AI capability maturity dashboards or business impact reporting.

Required Qualifications

• Experience 7-10 years of experience in Learning & Development, Talent Development, Enablement, Organizational Development, Change Management, or a related field. Experience creating and delivering learning programs, workshops, job aids, and scalable enablement resources. Demonstrated ability to support enterprise technology adoption or digital capability-building initiatives. Experience working with cross-functional stakeholders and translating business needs into practical learning solutions. Strong facilitation, instructional design, communications, and program coordination skills.
• AI Experience Hands-on experience using AI tools such as Claude, Microsoft Copilot, Perplexity, and similar platforms. Strong working knowledge of prompt writing, AI output review, responsible AI practices, and human-in-the-loop review. Ability to teach employees how to use AI tools effectively for common business tasks. Ability to create practical examples, prompt guides, workshops, and quality checklists for non-technical audiences.
• Program and Change Support Strong project management discipline, including planning, content development, stakeholder coordination, and follow-through. Ability to operate independently while staying aligned to enterprise AI guidance and stakeholder priorities. Comfort facilitating virtual and in-person learning experiences for employees, managers, and functional teams. Ability to summarize insights and recommendations clearly for HR, Talent, and business stakeholders.

Preferred Qualifications

• Bachelor's degree required; master's degree in Learning, Organizational Psychology, Leadership, Talent Development, Business, HR, or related field preferred.
• Experience supporting AI adoption, digital transformation, change management, or workforce upskilling initiatives.
• Experience building learning paths, communities of practice, manager enablement resources, or peer-learning networks.
• Familiarity with responsible AI, AI governance principles, data privacy, or information security considerations as they relate to employee learning.

Who we are

At Dynata, we deliver the highest quality first-party data to help businesses around the world gain precise insights, activate the right audiences, and confidently measure impact. With industry-leading respondent accuracy, reliability, and a commitment to continuous improvement, Dynata is the trusted foundation for smarter decision-making.

At Dynata, we are committed to creating an inclusive and accessible environment where every employee and customer feels valued, respected, and supported. We strive to build a workforce that reflects the diversity of the communities we serve. Dynata welcomes and encourages applications from individuals with disabilities and is dedicated to fostering a work culture that supports everyone. Accommodations are available upon request for all aspects of the selection process. Dynata is an Equal Opportunity Employer. We consider all qualified applicants and employees without regard to race, color, religion, sex (including pregnancy, sexual orientation, and gender identity), national origin, marital status, age, disability, genetic information, veteran status, or any other legally protected status under applicable laws.

This is a Canada-based role, and this position is for an existing vacancy. Or This posting is for a current vacancy AI at Dynata: To ensure our hiring process is fair, efficient, and transparent, we want to inform all applicants that we may utilize Artificial Intelligence (AI) technologies, including those integrated into our recruitment vendors' platforms. Our goal is to create an interview environment where every candidate can perform their best, and we are committed to an equitable process where applicants are evaluated based on job-related knowledge, skills, and abilities in accordance with equal opportunity principles. The use of any AI tool within our hiring process are used to augment, not replace, human judgment. All final hiring decisions are made by our hiring managers and recruitment teams.

The CAN base salary range for this position in is 100K-120K CAD/yr; however, base pay offered may vary depending on location, job-related knowledge, skills, and experience. A discretionary incentive program may be provided as part of the compensation package, in addition to a full range of medical and other benefits, dependent on full-time employment status.

About our culture

Our culture is rooted in inspiration, collaboration, and a drive for excellence. At Dynata, a career is more than just a job—it’s a place where your work matters, your voice is heard, and your growth is supported every step of the way. Whether you’re passionate about innovation, driven to make a difference, or excited to join a collaborative team that puts integrity and impact at the center of everything we do, you’ll find your next chapter here. We provide a collaborative, inclusive culture that values expertise, curiosity, and ownership. The chance to make a measurable impact on how insights are created and trusted.

Competitive compensation, benefits, and opportunities for growth. We recently won the 2026 Association for Talent Development BEST award. We are honored to be recipients of the 2026 Association for Talent Development (ATD) BEST Award, one of the industry’s most prestigious recognitions for excellence in talent development. Receiving this distinction validates our intentional investment in fostering a supportive and empowering environment for our team members. At Dynata, we don’t talk about development— we put it into action. Every April, our global Power Your Career conference brings together employees