Centennial College recognizes and affirms Diversity, Equity and Inclusion and Indigenous ways of knowing as central to the vibrancy and uniqueness of its learning and working academic mission. We strongly encourage applications from members of Indigenous communities and all equity-deserving groups including Women, Racialized, Persons with Disabilities, and LGBTQ+ communities.
We also recognize that Centennial is situated on the Treaty Lands of the Mississauga’s of the Credit First Nation and pay tribute to their legacy as well as that of all First Peoples that have been and remain present here in Toronto. We recognize that First Peoples come from sovereign Nations and that part of understanding our responsibilities of residing on this territory are understanding the true history, circumstances and legacy of the Treaties signed here (such as the Toronto Purchase, Robinson-Huron Treaty and Williams Treaties) and including pre-contact Treaties and Agreements between sovereign Nations and that all peoples in this area are therefore Treaty people with obligations and responsibilities to all our relations.
Position Summary
The future of artificial intelligence in higher education isn't something we're waiting for. It's something we're building.
Centennial College is launching an ambitious AI Incubator to accelerate the adoption of artificial intelligence across teaching, learning, student services, and institutional operations. We're moving beyond experimentation to develop intelligent solutions that solve real problems, transform experiences, and deliver measurable outcomes.
We're looking for an exceptional AI Product and Delivery Manager to help turn that ambition into reality. This is a unique opportunity to join a newly established AI Incubator at a defining moment in the College's digital transformation. You'll help shape how AI opportunities are discovered, evaluated, prioritized, built, and deployed - working with a multidisciplinary engineering team, institutional leaders, and technology partners to move ideas from concept to production.
Imagine helping bring to life an AI-powered student concierge that supports students throughout their academic journey, intelligent service agents that transform how employees access support, or AI-enabled workflows that eliminate friction and create new possibilities across the institution. These are the kinds of opportunities the AI Incubator is being established to pursue.
Reporting directly to the Associate Vice President, Strategy, Innovation and Assurance, who establishes the College's institutional AI strategy and direction, you will lead the Incubator's product and delivery activities. You'll translate approved strategic priorities into actionable roadmaps, coordinate technical delivery, manage the Incubator's portfolio and budget, and work with functional-area product owners to ensure solutions deliver meaningful business value.
This isn't a role focused on producing AI strategy documents. It's about turning strategy into working solutions - and ensuring those solutions make a difference.
Responsibilities
Shape the AI Opportunity Pipeline and Product Roadmap.
- Lead the AI Incubator's opportunity intake, assessment, and prioritization processes across academic, student-service, and administrative areas.
- Partner with institutional leaders, faculty, staff, and service owners to identify high-value opportunities for AI Agents, generative AI, intelligent automation, and emerging technologies.
- Facilitate discovery sessions that translate real-world challenges into compelling product concepts, clear requirements, and measurable success criteria.
- Evaluate opportunities against strategic alignment, technical feasibility, data readiness, cost, risk, and anticipated value.
- Develop business cases, product roadmaps, delivery recommendations, and benefits hypotheses that support informed institutional decision-making.
Turn AI Concepts into Real-World Solutions
- Lead cross-functional delivery planning, translating approved initiatives into coordinated work plans, milestones, dependencies, and release schedules.
- Work closely with AI Development, Data, and Platform Engineers to assess technical approaches and coordinate the delivery of secure, scalable, production-ready solutions.
- Facilitate product discovery, backlog refinement, prototype reviews, pilot planning, and release readiness activities.
- Evaluate engineering recommendations involving AI Agent architecture, large language models, retrieval-augmented generation (RAG), enterprise integrations, and platform capabilities.
- Coordinate testing, business acceptance, deployment readiness, and operational transition with functional-area product owners and IT teams.
- Identify delivery risks, competing priorities, and resource constraints, recommending practical solutions and escalating decisions where necessary.
Drive Adoption, Impact, and Continuous Improvement
- Partner with functional-area product owners to establish measurable outcomes, adoption targets, and benefits realization approaches.
- Coordinate demonstrations, pilots, user feedback, and change enablement activities to support successful adoption.
- Monitor product performance, adoption, task completion, service improvements, cost avoidance, and other indicators of realized value.
- Translate delivery progress and performance insights into executive-ready reports and recommendations.
- Help establish repeatable approaches for AI product discovery, evaluation, delivery, and continuous improvement
Champion Responsible and Sustainable AI
- Collaborate with cybersecurity, privacy, enterprise architecture, and data governance specialists to embed responsible AI principles throughout the delivery lifecycle.
- Ensure appropriate consideration of AI accuracy, groundedness, reliability, accessibility, human oversight, security, and operational readiness.
- Evaluate emerging AI technologies and delivery approaches, balancing innovation with institutional risk, cost, and sustainability.
- Manage the AI Incubator's approved budget and coordinate the work of external vendors and technology partners.
- Foster a collaborative, delivery-focused environment where experimentation, learning, accountability, and measurable results go hand in hand.
Qualifications/Experience
- A four-year degree in Business, Information Technology, Computer Science, Information Systems, or a related discipline, or an equivalent combination of education and professional experience.
- Seven-years of progressive experience in digital product management, technology delivery, business transformation, or cross-functional program management, ideally involving AI, automation, cloud technologies, or enterprise applications.
- Strong understanding of generative AI, AI Agents, large language models, RAG, enterprise integration, data architecture, and cloud-based AI platforms.
- Experience translating complex business challenges into product requirements, delivery roadmaps, prioritized backlogs, and measurable outcomes.
- Demonstrated ability to evaluate technical recommendations and trade-offs involving feasibility, security, scalability, performance, cost, and supportability.
- Experience coordinating multidisciplinary technical teams, business stakeholders, external vendors, and complex delivery dependencies.
- Knowledge of agile delivery, product lifecycle management, user acceptance testing, change enablement, and benefits realization.
- Strong financial, analytical, and organizational skills, including budget oversight, business case development, and executive reporting.
- Exceptional communication, facilitation, stakeholder engagement, and relationship management skills.
- Experience with Microsoft Azure, Microsoft Foundry, Copilot Studio, Microsoft Fabric, or comparable enterprise AI platforms is an asset.
- Experience in higher education, the public sector, or another complex service-oriented organization is an asset.
What will set you apart?
You're equally comfortable discussing business outcomes with senior executives and challenging technical assumptions with engineers. You understand that a successful AI initiative isn't measured by how impressive the demonstration looks, but by whether the solution works, is adopted, and delivers lasting value.
You're curious, pragmatic, collaborative, and energized by the opportunity to build something new.
Most importantly, you're ready to help move AI from possibility to production.
Apply online: www.centennialcollege.ca/careers
When applying, your cover letter and résumé must include examples that reflect all of the requested skills and qualifications and must be submitted online by November 23, 2026, at 11:59 PM EST. Please quote Job ID J1126-0257. Misrepresentation of applicant information will be grounds for your exclusion from the competition or for dismissal should you subsequently be hired for the position. We wish to thank all applicants for their interest and advise that only those selected for an interview will be contacted.
Proof of credentials or equivalencies from accredited regional or federal post-secondary institutions and/or their foreign equivalents will be required at the time of job offer.
We are committed to providing persons with disabilities equal opportunities regarding all employment activities, including access to jobs and accommodations during employment as required, in accordance with the Ontario Human Rights Code (OHRC) and the Accessibility for Ontarians with Disabilities Act (AODA).
