Job Description

Date Posted: 05/28/2026
Req ID: 48087
Faculty/Division: VP & Provost
Department: Centre for Teaching Support & Innovation
Campus: St. George (Downtown Toronto)
Position Number: 00059374
Existing Vacancy: Yes

About us:

The Centre for Teaching Support & Innovation (CTSI) provides leadership in teaching and learning at the University of Toronto and serves as the University’s central teaching hub. In a dynamic and highly collaborative environment, CTSI provides support for pedagogy and pedagogy-driven instructional technology for all teaching staff and teaching assistants across the University’s campuses and divisions. Its services include organizing special events and programming for instructors and teaching assistants related to a range of teaching topics, including educational technologies; conducting personalized and confidential consultations; offering job training and a certificate program for teaching assistants; supporting inquiry into teaching through the Scholarship of Teaching and Learning; providing pedagogical guidance for the use of the institutional learning management system (Quercus); and supporting the institutional online course evaluation system. Driven by the latest advancements in higher education practices and informed by emerging research in post-secondary teaching and learning, CTSI staff work directly with faculty, graduate students, departments and divisions and in partnership with a rangeof University offices to enhance teaching and learning across the institution.

Your opportunity:

At CTSI we are actively refining our vision for supporting teaching and learning as emerging technologies such as agentic AI reshape what is possible in the classroom. As Team Lead, Emerging Educational Technologies, you will have a direct role in helping CTSI make sense of a fast-moving educational technology landscape and respond strategically. You will:

• Work directly with faculty innovators to test and scale new teaching and learning applications, particularly those utilizing AI tooling from the University’s AI Kitchen, and coordinate scaling across courses, departments, and divisions.
• Serve as CTSI's liaison between faculty innovators, the AI Kitchen, and Information Technology Services (ITS) to investigate integration opportunities with Quercus and other University infrastructure, guiding projects through privacy and security review processes and institutional approval pathways.
• Serve as first point of contact for incoming institutional requests related to emerging educational technologies, track innovation trends across the institution, and identify opportunitiesfor scaling successful pilots through procurement pathways.
• Prepare emerging technology research briefings for CTSI, Office of Digital Strategies, and Office of the Vice Provost, Teaching and Learning leadership to inform educational technology strategy.
• Investigate and implement workflows to enable CTSI’s innovation scaling work, including AI chatbot response testing, functional testing for new tools, and leading development of programming and resources to support adoption of emerging technologies.

This is an opportunity to sit at the intersection of innovations in educational technology and sustainable institutional strategy, maintaining CTSI’s focus on pedagogical value and human-centred technology adoption.

Your responsibilities will include:

• Leading the development and making recommendations for operational policies, procedures and best practices for the program
• Researching and recommending educational technologies and best practices related to teaching and learning
• Building and strengthening relationships with stakeholders and partners of strategic importance
• Advising instructors on strategies for developing and delivering curriculum
• Facilitating focus group meetings that may inform strategic planning
• Analyzing needs and recommending appropriate technologies for teaching/learning goals
• Collecting data to identify future academic programming needs and key areas of interest
• Directing the activities of a group of staff-appointed employees all performing a similar function

Essential Qualifications:

• Master's Degree or an acceptable combination of equivalent experience. PhD is an asset.
• Minimum eight (8) years of related experience in educational technology, learning design, digital learning services, in a comparable higher education or knowledge-sector context
• Extensive experience leading complex projects with multiple contributors and stakeholders, including across organizational or unit boundaries.
• Experience supporting or delivering AI-related pilots in an educational or knowledge-work setting, such as prompt and workflow design, evaluation of model outputs, or coordination of AI safety and quality assurance testing.
• Demonstrated experience researching and evaluating emerging educational technologies and translating findings into clear, actionable recommendations for operational and senior leadership audiences.
• Experience working directly with faculty, instructors, or subject matter experts to design, pilot, or scale teaching and learning initiatives.
• Experience leading, mentoring, or directing the work of staff, contractors, or project team members in a collaborative, service-oriented environment.
• Demonstrated presentation and group facilitation skills, including the ability to lead workshops, focus groups, and briefings for audiences ranging from faculty and staff to senior institutional leadership.
• Demonstrated knowledge of and familiarity with various educational technologies and pedagogical approaches.
• Strong analytical, problem-solving, and research skills, with the ability to synthesize complex technical information and communicate it clearly to non-technical audiences.
• Excellent written and verbal communication skills, including proven ability to draft briefings, reports, and technical documentation for diverse stakeholder audiences.
• Proficiency with the Microsoft 365 Suite, including SharePoint document management best-practices.

Assets (Nonessential):

• Familiarity with the University of Toronto’s teaching and learning context, including Quercus (Canvas), institutional privacy, security, and accessibility review processes, or related academic technology services.
• Familiarity with agentic AI workflows, including practical experience designing, implementing, or evaluating AI-enabled automation (e.g., agent frameworks, orchestration tools, or multi-step LLM workflows) in a professional setting.
• Experience contributing to procurement processes for software, educational technologies, or other complex services, including requirements gathering, community engagement, and vendor evaluation.
• Familiarity with educational technology integration mechanisms including the Learning Tools Interoperability (LTI) standard and Canvas APIs.

To be successful in this role you will be:

• Accountable
• Communicator
• Goal oriented
• Problem solver
• Team player

Closing Date: 06/17/2026, 11:59PM ET
Employee Group: USW
Appointment Type Budget - Continuing
Schedule: Full-Time
Pay Scale Group & Hiring Zone:
USW Pay Band 16 -- $103,367. with an annual step progression to a maximum of $132,188. Pay scale and job class assignment is subject to determination pursuant to the Job Evaluation/Pay Equity Maintenance Protocol.
Job Category: Administrative / Managerial
Recruiter: Anita Chooraman

Lived Experience Statement
Candidates who are members of Indigenous, Black, racialized and 2SLGBTQ+ communities, persons with disabilities, and other equity deserving groups are encouraged to apply, and their lived experience shall be taken into consideration as applicable to the posted position.

s are available upon request for internal applicants.