Information Systems Specialist (AI Literacy and Training Lead

Position: Information Systems Specialist (AI Literacy and Training Lead)
Location: Southwestern Ontario

At the University of Waterloo, we create and promote a culture where everyone can reach their full potential. As an employee, you get support & opportunities that empower you to advance your career. Explore how we can bring big ideas to life, together. The University is a welcoming workplace for those of all abilities, interests, and expertise. As part of our workforce, you can do what you do best, every day.

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Job

Requisition  Type:

Full time Employee Group:

Staff Job Category:

Academic Technical Support

Employment Type:

Definite Term Department:

Information Systems and Technology - Articifical Intelligence Innovation and Systems Development Hiring Range:

Posting Information:

This posting is for an existing vacancy.

The internal posting deadline for this position is August 7, 2026 at 11:59PM.This position is being offered as a Secondment or contract opportunity. Term: 2 years

This is a Career Path position. The final level will be determined based on demonstrated skills and experience.

Anticipated hiring ranges:

USG 10: $85,980 - $107,475

USG 11: $93,878 - $117,348

USG 12: $95,538 - $119,422

Job Description:

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.

Key Accountabilities 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,…