Training Strategist: AI Adoption Driver

TC EnergyCalgary, AB
Hybrid

About The Position

TC Energy is seeking an experienced Training Strategist (AI Adoption Driver) with expertise in sustainable AI enablement solutions within learning and development. This role is part of the Training Strategy Team, within the Training Centre of Expertise (TCOE) under Inclusion, Talent and Training. The role focuses on translating operational needs into outcome-driven objectives that optimize AI potentials and supports enterprise programs such as an AI enablement team, AI learning hub, AI champions program, and a train-the-trainer model. The goal is to drive an accelerated, safe, responsible, and practical use of AI across the enterprise through strategic active learning, targeted support, and knowledge management.

Requirements

  • Bachelor’s degree in Adult Learning, Communications, Knowledge Management, Business, Information Science, Learning Technologies or related field (or equivalent experience).
  • 5+ years’ experience in one or more of: AI learning enablement, digital adoption, knowledge management, technical writing, or enterprise communications.
  • 3+ years’ experience in the Energy/Utility industry or similar technical environment.

Nice To Haves

  • Demonstrated ability to translate complex/technical concepts into clear, usable learning and performance support materials.
  • Hands-on capability building and facilitation experience (workshops, communities of practice, train-the-trainer, etc.).
  • Ability to design practical enablement experiences and curate learning materials to drive sustained adoption (workshops + resource libraries + reinforcement).
  • Strong technical writing, editing, and information design skills; experience producing QRGs, manuals, job aids, and playbooks.

Responsibilities

  • Develop and maintain AI learning assets aligned with enterprise AI programs.
  • Optimize business processes leveraging process automation, AI tools, including agents and other resources.
  • Support the design and execution of AI enablement training plans that increase adoption and proficiency for targeted roles.
  • Represent TCOE to support the AI enablement team in the development of AI guidelines and practices.
  • Support AI enablement initiatives called out in TCOE goals.
  • Provide facilitation and reinforcement via open forums, to help teams turn AI optimization ideas into safe, repeatable practice.
  • Define and track adoption of AI across HR teams to capture data on effectiveness, usefulness, reusability, value-add etc.
  • Track and iterate learning content to ensure alignment with user needs, technological updates, and operational priorities.
  • Report outcomes and recommendations in a clear, action-oriented approach.
  • Build, implement and maintain high-quality, operationally relevant learning artifacts and resources, through robust technical writing capability, including: Quick Reference Guides (QRGs), digital job aids, checklists, and digital troubleshooting cards; Manuals, digital playbooks, and “how we work” guides that make AI usage repeatable and consistent.
  • Apply strong technical writing practices: plain language, audience-appropriate tone, visual clarity in producing compliance-ready documentation.
  • Create intuitive information architecture (site structure, navigation, libraries, metadata) so employees can quickly find “the right knowledge asset at the right time.”
  • Build and maintain SharePoint-based learning and knowledge spaces (e.g., learning hubs, knowledge libraries, playbook pages, FAQ repositories).
  • Maintain content lifecycle: versioning, review cadence, governance alignment, and retirement/archiving.
  • Partner with stakeholders to ensure permissions and access reflect appropriate information governance and regulated/non-regulated boundaries where applicable.
  • Use enterprise standards and security expectations for AI tools and content access.
  • Partner with HR partners, Information Services and AI enablement teams to ensure learning content is consistent with approved tools, capabilities, and safe-use guidance.
  • Reinforce responsible AI practices—bias awareness, transparency, verification expectations, and safe handling of company information—through access to just-in-time learning content.

Benefits

  • Hybrid work model
  • Flexible dress code
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