Specialist, Industrial AI & Digital Skills (2026-0200)

• Post-secondary degree in Instructional Design, Education Technology, Computer Science, Engineering, Information Technology, or a related field. Equivalent experience as an educator, trainer, or applied-AI practitioner will be considered.
• Graduate degree, and formal credentials in instructional design, e-learning, or digital pedagogy (e.g., CPLP or equivalent), are strong assets.
• Credentials or certifications in AI, machine learning, data analytics, automation, or digital transformation are strongly preferred.
• Candidates with a background in technology education (cloud computing, telecommunications, IoT, AI) will be prioritized.

• Demonstrated experience applying AI-powered tools, automation solutions, agents, data-driven workflows, or digital technologies to address real-world challenges in industrial environments.
• 5-7 years of relevant experience across applied AI, digital skills training, workforce development, learning facilitation, instructional design, technology enablement, or digital transformation. Equivalent combinations of education, industry experience, and applied AI expertise will be considered.
• Experience facilitating adult learning and coaching diverse learner groups.
• Demonstrated experience curating and evaluating third-party technical training content from major online platforms.
• Experience designing and administering digital-readiness or skills assessments and building corresponding learning pathways.
• Proven experience scheduling, onboarding, and monitoring learner cohorts, and establishing learning-outcome frameworks, KPIs, and quality-assurance processes.
• Experience with LMS and project-management tools (e.g., Wrike, Microsoft Project, or equivalent).
• Experience national program delivery is strongly preferred; non-profit, government-funded, or workforce-development experience is an asset.
• Familiarity with Canada's digital-skills ecosystem, AI education landscape, and WIL programs is an asset.

• Bilingual proficiency in English and French written and spoken is considered an asset.
• Applied AI fluency: proficiency in automation, prompt engineering, workflow integration, data analytics, AI agents build and low-code/no-code technologies - paired with the ability to teach these concepts accessibly.
• Deep expertise in instructional design, curriculum architecture, and e-learning best practices.
• Strong knowledge of major third-party technical training platforms and their content ecosystems.
• Proficiency with LMS, e-learning authoring/curation tools, and Microsoft 365 / Google Workspace.
• Strong analytical skills for defining and tracking learning KPIs and quality metrics.
• Excellent communication and stakeholder-engagement skills; comfort explaining technical concepts in plain language to non-technical learners.
• Ability to work independently, lead with limited precedent, and manage multiple curricula and program streams in a fast-paced environment.

Are You?

• An applied AI practitioner and educator — Do you bring genuine, hands-on industrial AI experience and the ability to make that knowledge accessible to learners and employers?
• Curriculum architect — Do you design rigorous, engaging learning journeys matched to where learners are and where they need to go?
• A discerning course curator — Can you cut through hundreds of online courses to identify the ones that are technically excellent, current, and right for the learner?
• A digital-readiness expert— Can you assess where learners truly are and build skills maps that set them up for success?
• Analytically rigorous, ethical, dependable, collaborative, and a continuous learner committed to inclusive, equitable learning across Canada.