Senior Manager,AI Job Etobicoke area,Ontario Canada,IT/Tech

Role:

Senior Manager, AI

Location:

Mississauga, Ontario – Hybrid (4 days/week in office)

* Moving to Etobicoke in 2026*

Company:

Mattamy Asset Management

Department:

IT Enterprise Services

Employment Type:

Full-Time

Reports to:

Director, Platform Engineering

At Mattamy Asset Management (MAM), everyone has an important role to play in our shared success. Developing thoughtfully planned communities is complex work and our diverse teams come together to deliver on that mission in every aspect. We are thoughtful planners, precise project managers and practiced subject matter experts. And in each area of our evolving business, we are trusted to drive results.

Here, your opinion will be invited, and your contributions will count. You’ll be surrounded by caring people who encourage you to be exactly who you are. You’ll grow in your area of expertise, learning alongside committed colleagues. With a relentless focus on industry leadership and a deep commitment to sustainability, we’ve got big plans for the future – and for you.

Learn more about what makes working at Mattamy special and our award-winning culture.

What we offer

In this role, you’ll lead the development and delivery of Mattamy’s AI program, shaping strategy and driving execution in partnership with leadership and key business stakeholders. You’ll lead a team to design, build, and run AI solutions that change how a complex, enterprise-grade business operates. You’ll shape the technology direction and reference architecture for the AI program, make the build-versus-buy and tooling calls, and lead the rollout of AI capabilities — from Copilot and productivity tools to custom-built agents.

This is an ideal opportunity for a technical leader who wants to shape an AI program from the ground up, stay close enough to architecture to make the right calls, and drive measurable impact across the business.

What you’ll do

Define and execute Mattamy’s AI strategy and roadmap — prioritize use cases, set delivery sequencing, and align with business and IT leadership on outcomes and investment

Lead a team of AI engineers and a product owner, plus external delivery partners — set technical direction, manage performance, develop the team, and own the commercial relationship with delivery partners including SOWs, SLAs, and roadmap alignment

Leadtechnology selection and reference architecture for the AI program — make build-versus-buy calls, evaluate platforms and tooling, and define the standards and patterns that scale across builds

Stay hands-on where it counts — review designs and code, contribute to thorny architecture decisions, and unblock the team on the hardest technical problems

Drive enterprise AI adoption and AI literacy — select and implement the tooling stack (Copilot, productivity AI, custom agents), build and evolvea Center of Excellence with reusable patterns and enablement materials, and partner with the business to build AI fluency at every level of the organization

Own end-to-end delivery of AI solutions — from use-case shaping through production run, including observability, evaluations, incident response, and ongoing tuning for accuracy, latency, and cost

Operationalize and continuously improvethe responsible AI and governance framework — data privacy, access controls, prompt and output safety, evaluation standards, and human-in-the-loop — and make sure every build meets it

Partner with business, data, security, and platform leaders to translate enterprise priorities into AI investments — define the measurement framework for AI value (adoption, productivity gains, cost-to-serve, time-to-decision) and support executive reporting on progress, risks, and outcomes

What you bring

8+ years of software engineering experience, including 2+ years delivering production AI/LLM solutions and 2+ years leading technical teams, or an equivalent combination of education and experience

Proven track record leading a team of engineers and external delivery partners — setting technical direction, developing people, and driving accountability on quality, cost, and timelines

Strong architecture judgment across modern AI stacks — Azure AI Foundry (or equivalent), OpenAI / Azure…