Information Systems Specialist (AI Literacy and Training Lead)

At theUniversity 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.

Learn more about our recruitment process.

Job Requisition ID:

Time Type:

Employee Group:

Job Category:

Employment Type:

Department:

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 : 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: $85980 - $107475

USG 11: $93878 - $117348

USG 12: $95538 - $119422

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 workshops office hours and guidance.

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

Required Qualifications

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.

Knowledge/Skills/Abilities

• Practical understanding of generative AI tools common AI use cases risks limitations and responsible-use considerations.

• Strong facilitation presentation and written communication skills.

• Ability to communicate complex technical concepts clearly to a variety of audiences.

• Ability to create clear practical and accessible training and guidance materials.

• Strong planning and organizational skills with the ability to manage multiple concurrent activities and stakeholder needs.

• Strong analytical and problem-solving skills including the ability to identify recurring needs and convert them into reusable guidance or learning resources.

• Strong service orientation and ability to build positive working relationships with campus clients IST colleagues and partner teams.

• Ability to work with ambiguity and help create structure where practices tools and expectations are still emerging.

• Understanding of privacy security data handling accessibility copyright accuracy bias and human oversight considerations as they relate to AI use.

• Familiarity with Microsoft 365 Copilot GitHub Copilot Claude ChatGPT Enterprise or similar AI tools is an asset.

• Experience with SharePoint Confluence Jira Service Management knowledge management tools learning platforms or similar systems is an asset.

Nature and Scope

Contacts: i.e. internal/external contacts the nature of interactions

Level of Responsibility: i.e. staff management influence leadership coaching direction

Decision-Making Authority: i.e. types of decisions made/problems solved escalation point

Physical and Sensory Demands: i.e. distractions attention to detail lifting carrying

Working Environment: i.e. office based laboratory travel deadlines disruption to personal life exposure to disagreeable situations

Equity Statement

The University of Waterloo acknowledges that much of our work takes place on the traditional territory of the Neutral Anishinaabeg and Haudenosaunee peoples. Our main campus is situated on the Haldimand Tract the land granted to the Six Nations that includes six miles on each side of the Grand River. Our active work toward reconciliation takes place across our campuses through research learning teaching and community building and is coordinated within the Office of Indigenous Relations.

The University values the diverse and intersectional identities of its students faculty and staff. The University regards equity and diversity as an integral part of academic excellence and is committed to accessibility for all employees. The University of Waterloo seeks applicants who embrace our values of equity anti-racism and inclusion. As such we encourage applications from candidates who have been historically disadvantaged and marginalized including applicants who identify as First Nations Métis and/or Inuk (Inuit) Black racialized a person with a disability women and/or 2SLGBTQ.

Positions are open to qualified candidates who are legally entitled to work in Canada.

The University of Waterloo is committed to accessibility for persons with disabilities. If you have any application interview or workplace accommodation requests please contact Human Resources or ext. 45935.