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

The Information and Communications Technology Council (ICTC) is seeking a Specialist, Industrial AI & Digital Skills to serve as the organization's embedded Applied AI Subject Matter Expert within its learning and workforce development team. This role combines hands-on AI expertise with learner-centered facilitation. The successful candidate is both a practitioner and an educator: someone who builds, evaluates, and demonstrates AI-powered solutions while helping learners, employers, and workforce-development partners understand and apply them in real-world contexts. Reporting to the Manager, Digital Training & Industry Transformation, the Senior Specialist will play a critical role in ensuring that ICTC's AI and digital-skills programming is technically accurate, current, practical, and aligned to labour market demand. The role is responsible for validating AI-related learning content and credentials, facilitating learner cohorts, coaching participants through applied projects, and acting as a trusted internal resource on emerging AI tools, technologies, and workplace applications. The ideal candidate combines strong facilitation and curriculum expertise with demonstrated experience building or implementing AI-enabled workflows, automations, copilots, agents, or other AI-powered solutions in organizational environments. They are equally comfortable evaluating technical training content, mentoring learners, facilitating workshops, and translating complex technologies into practical business value. Key Responsibilities Applied AI Leadership & Technical Expertise

• Serve as ICTC's primary internal Applied AI Subject Matter Expert across workforce development and digital skills initiatives.
• Build, test, evaluate, and demonstrate practical AI-enabled workflows, automations, agents, and productivity solutions that can be used in learning environments and employer-facing engagements.
• Evaluate emerging industrial AI tools, platforms, and technologies to assess their relevance for workforce development, digital skills training, and employer adoption.
• Develop practical demonstrations, use cases, project templates, and hands-on exercises that help learners understand how AI can be applied in workplace settings.
• Provide technical guidance and coaching to learners undertaking AI-related projects, workplace placements, and implementation activities.
• Advise internal teams on AI trends, opportunities, limitations, responsible use considerations, and adoption approaches.
• Maintain current knowledge of developments in generative AI, automation, workflow integration, prompt engineering, data analytics, and productivity technologies. Learning Facilitation & Learner Success
• Facilitate live, virtual, and hybrid learning experiences for learners participating in AI and digital skills programs.
• Deliver engaging workshops, webinars, office hours, project reviews, and coaching sessions that support learner success.
• Help learners translate theoretical concepts into practical implementation through hands-on projects and applied learning activities.
• Foster inclusive and supportive learning environments encourage participation, collaboration, experimentation, and continuous learning.
• Monitor learner engagement and progress throughout the program lifecycle and identify risks to completion or participation.
• Provide individualized guidance, coaching, and interventions to support learner achievement.
• Collaborate with program teams to integrate applied learning opportunities throughout the learner journey. AI & Digital Skills Content Validation, and Platform Management
• Evaluate, curate and validate AI, automation, data analytics, and digital-skills content sourced from third-party providers and industry partners.
• Assess learning content for technical accuracy, industry relevance, practical use case, pedagogical quality, accessibility, instructional quality, alignment with labour-market needs and ICTC objectives, maintaining an updated library of approved courses and credentials
• Review and recommend learning pathways, certifications, micro credentials, and training resources that align with program objectives.
• Identify outdated, obsolete, or low-value content and recommend replacements or enhancements.
• Ensure curriculum remains relevant as AI technologies, workplace practices, and employer needs evolve.
• Establish and maintain relationships with third-party training vendors and content partners; coordinate access, enrollment, licensing, or partnership agreements as required. Digital Readiness Assessment & Skills Mapping
• Administer learner assessments to evaluate digital literacy, technical readiness, and learning needs.
• Develop and maintain learner skills profiles and pathway recommendations.
• Match learners to appropriate learning journeys, training options, and credential opportunities.
• Identify recurring skills gaps and learning challenges within learner cohorts.
• Use assessment insights to improve curriculum sequencing, learner support, and program outcomes. Participant Onboarding, Progress Monitoring & Engagement
• Schedule, onboard, and orient learners to the platform and program expectations.
• Monitor each learner's progress, proactively identify those at risk of falling behind or disengaging, and escalate concerns with recommended interventions.
• Design and lead learning-engagement strategies discussion groups, manage learning-community spaces, webinars, and applied challenges and recruit and coordinate industry practitioners, AI experts, and sector leaders as guest speakers.
• Collaborate closely with program teams to integrate live, applied AI facilitation touchpoints throughout the learner journey. Program Planning, Quality Assurance & Reporting
• Support program planning, scheduling, and delivery activities.
• Track learner participation, progression, completion, and outcome metrics.
• Establish and monitor learning-quality indicators and program KPIs.
• Contribute to program evaluation, reporting, and continuous improvement initiatives.
• Produce insights and recommendations based on learner outcomes, participant feedback, and performance data.
• Identify risks to learner success, program targets, or deliverables and recommend corrective actions.
• Ensure program delivery aligns with funder requirements, internal standards, and quality-assurance practices. Curriculum Design & Continuous Improvement
• Curate and assemble blended learning curricula; develop and validate learning outcomes, competency frameworks, and assessment criteria.
• Establish and monitor KPIs for course quality, learner progression, completion rates, and post-program outcomes.
• Support the creation and continuous improvement of AI and digital skills training programs.
• Conduct structured content reviews every 6–12 months (and scan continuously between them) to keep curriculum technically current, replacing deprecated tools and references with current alternatives.
• Engage employers and host organizations to gather insight on emerging skills needs and workplace AI-adoption trends, using this to keep training aligned with real-world employer expectations.
• Support the development and validation of digital credentials and micro-credentials and recognize prior learning where a learner can already demonstrate a target skill. What We Are Looking For Education
• 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