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Toronto, Ontario, Canada
Hybrid
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
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.
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.
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.
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.
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.
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
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.
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.
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.
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.
