AI Learning & Enablement Lead

🕒 5 days ago

🇨🇦 Canada – Remote

💵 $100k - $120k / year

⏰ Full Time

🟠 Senior

🤖 Artificial Intelligence

👻 Ghost score 0%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Dynata

WebsiteLinkedInAll Job Openings

5001 - 10000 employees

💼 Consulting

📣 Marketing

☁️ SaaS

💰 $31.5M Debt Financing - Dynata on 2024-05

Consulting • Marketing • SaaS

Dynata is a market research and data company that provides high-quality first-party survey panels, audience data, and a suite of survey and analytics platforms to help organizations collect, activate, and measure insights. The company offers global B2B and B2C panels, survey scripting and fielding tools, data enrichment, audience activation, brand lift measurement, and data visualization, and it emphasizes data quality using AI/ML (QualityScore™) and security certifications. Dynata serves researchers, brands, media agencies, publishers, pollsters, and academics with both self-service and managed services.

📋 Description

• 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 with Talent, HR, and business stakeholders • Translate AI concepts into practical learning materials for real work • Coordinate learning calendars, program launches, stakeholder inputs, and adoption support • 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 • Teach appropriate AI tool use, including when human review is required • Create checklists and guidance for reviewing AI outputs for accuracy, completeness, usefulness, tone, evidence, and next steps • Teach prompt writing, output review, source validation, and responsible-use behaviors • Build reusable playbooks to improve AI output quality and consistency • Partner with subject matter experts to validate examples and align materials with approved practices • Identify AI-related learning needs for priority roles and functions • Develop learning solutions supporting employees as work expectations evolve due to AI and automation • Maintain learning assets as tools, policies, and use cases evolve • Collaborate with HR, Communications, Technology, Legal, Information Security, and business stakeholders • Facilitate virtual and in-person learning sessions, workshops, and peer-learning discussions • Support AI champions, learning ambassadors, and function-specific adoption efforts • Contribute to communications and adoption materials • Escalate AI risk, governance, privacy, or prohibited-use questions to subject matter owners • Track participation, feedback, completion, proficiency self-assessments, and practical adoption indicators • Summarize program results and learner insights for Talent and business stakeholders • Refine learning content, job aids, and enablement programs using feedback and adoption patterns

🎯 Requirements

• 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 Claude, Microsoft Copilot, Perplexity, and similar AI platforms • Strong working knowledge of prompt writing, AI output review, responsible AI practices, and human-in-the-loop review • Ability to teach employees 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 aligned with enterprise AI guidance and stakeholder priorities • Comfort facilitating virtual and in-person learning experiences • Ability to summarize insights and recommendations clearly for HR, Talent, and business stakeholders • Bachelor's degree required • Master's degree in Learning, Organizational Psychology, Leadership, Talent Development, Business, HR, or a 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 related to employee learning

🏖️ Benefits

• A discretionary incentive program may be provided as part of the compensation package • A full range of medical and other benefits, dependent on full-time employment status • Collaborative, inclusive culture that values expertise, curiosity, and ownership • Opportunities for growth • Professional development through the global Power Your Career conference • Experiential High-Potential Program with immersive, hands-on professional development • Leadership Challenges providing skills and insights for managers and future leaders • Inclusive and accessible environment • Accommodations available upon request for all aspects of the selection process