Technical Product Manager, AI Delivery

About the role

Build the future, spark innovation and align your career with purpose. McKinstry is innovating the waste and climate harm out of the built environment and creating lasting impact. Together, we’re building a thriving planet. Buildings are a leading contributor to the climate crisis, generating nearly 40% of total global energy-related carbon emissions. We’re making a lasting impact on our industry and within our communities by addressing the climate, affordability and equity crises through: renewables and energy services, engineering and design, construction and facility services. To get where we’re going, we need big thinkers, problem solvers and collaborative mindsets. Does that sound like you? The Technical Product Manager, AI Delivery is the delivery engine that turns AI strategy into shipped tools, measurable outcomes, and production-ready capabilities for the business. The TPM is responsible for owning the intake pipeline mechanics, use case scoping, value case, success metric definition and the product lifecycle from pilot approval to production deployment and tracking the value/ROI after deployment. This role serves the AI program by translating approved use cases into specific, buildable product requirements that the AI engineering team can execute without ambiguity and by managing the pilot lifecycle so that Directors can focus on strategy and stakeholder relationships.

Responsibilities

• Own sprint methodology execution across all active AI tools. This includes running planning, standups, sprint reviews and retrospectives and ensuring that every pilot in the active portfolio has a clear scope, a measurable success criterion, and a named decision owner before it starts.
• Translates approved use cases from the business into specific product requirements such as user stories, acceptance criteria, data requirements, integration specifications and AI evaluation metrics.
• Manages the pilot intake pipeline mechanics including the intake form, evaluation process, scoring and the documentation that supports the decision.
• Owns the product lifecycle from pilot approval to production deployment; tracking pilot progress against success criteria, flagging scope creep and timeline risk managing the handoff from pilot to production.
• Maintains the program's delivery metrics and pilot portfolio dashboard to include active pilots by Corporate Service Unit (internal teams and functions),