Information Systems Specialist (AI Literacy and Training Lead

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Department:
Information Systems and Technology - Articifical Intelligence Innovation and Systems Development

Hiring Range: $80,248.28 - $

Time Type:
Full time

Employment Type:

Definite Term

Secondment or contract opportunity. Term: 2 years.

Reporting to the Director, AI Innovation and Systems Development, the AI Literacy and Training Lead is an Information Systems Specialist role focused on the adoption, enablement, and responsible use of AI-enabled information systems and services at the University of Waterloo.

The incumbent supports the AI Discovery Lab, the campus-facing front door for AI questions, ideas, training needs, and responsible adoption support.

This role develops and delivers practical AI training, workshops, office hours, documentation, guidance, and reusable learning materials that help staff, teams, and leaders understand how to use AI tools appropriately and effectively in University contexts.

The role works with technical teams, campus partners, service owners, and governance partners to translate emerging AI capabilities, institutional guidance, pilot learnings, and recurring user needs into accessible training and adoption supports.

• AI Literacy, Training, and Enablement

  Develop and deliver practical AI literacy programming for University audiences, including workshops, office hours, demonstrations, awareness sessions, and team-specific training.

  Design learning supports for users with different levels of AI readiness, from those who are new to AI to early adopters seeking practical guidance.

  Explain AI capabilities, limitations, risks, and responsible-use expectations in clear, audience-appropriate language.

• Guidance, Documentation, and Learning Materials

  Create and maintain reusable AI guidance, quick-start guides, FAQs, checklists, examples, presentation materials, and other user-facing support resources.

  Convert recurring questions, pilot learnings, and responsible-use expectations into reusable learning assets.

  Contribute to AI Discovery Lab web, knowledge base, or service catalogue content as required.

• Adoption Support for AI Tools and Pilots

  Support onboarding, training, and adoption activities for approved, pilot, or emerging AI-enabled tools and services.

  Develop user guidance for AI tool pilots, including coding assistants, enterprise AI assistants, productivity tools, or AI-enabled workflow solutions.

  Gather user feedback to identify barriers, learning needs, support gaps, and opportunities to improve adoption.

• Responsible AI Enablement

  Help users understand privacy, security, data sensitivity, copyright, accessibility, bias, accuracy, and human oversight considerations related to AI use.

  Work with privacy, information security, data governance, procurement, legal, accessibility, records management, and other partners as needed to align training and guidance materials.

  Help users understand when an AI use case may require additional review, escalation, or support.

• Campus Engagement and Continuous Improvement

  Support AI Discovery Lab events, demonstrations, engagement activities, and communities of practice.

  Track training activity, participation, feedback, recurring questions, and adoption themes.

  Use feedback and service data to improve training materials, workshops, office hours, and guidance.

  Contribute training and adoption insights to the AI Discovery Lab service model and AI innovation portfolio.

• Education

  University degree in a related discipline, or equivalent education and experience. Relevant disciplines may include information systems, computer science, education, instructional design, communications, business analysis, public administration, or a related field.

• Experience

  Experience designing and delivering training, workshops, enablement programs, user adoption supports, or professional learning.

  Experience explaining technical or complex concepts to non-technical audiences.

  Experience developing documentation, guides, knowledge base content, presentations, FAQs, or other user-facing support materials.

  Experience supporting technology adoption, service improvement, change enablement, business systems support, or information systems initiatives.

  Experience working with technical teams, service owners, business stakeholders, and cross-functional partners.

  Experience with generative AI tools, AI-enabled productivity tools, or emerging technology adoption is preferred.

  Experience in higher education, public sector, or a large complex organization is an asset.

• Practical…