Technology Partner, AI Product & Delivery

TMX Group•Toronto, ON

1d•Hybrid

About The Position

The Technology Partner, AI Product & Delivery is accountable for turning TMX's AI strategy into a prioritized portfolio of products and for delivering those products into the business: the right thing, on time, and adopted. The role owns AI product development and use-case definition end to end, leads the team of technical product owners, and runs the intake queue, prioritization, and delivery rhythm for the AI & Data function. Working across TMX and its affiliated entities, including Trayport, Verity, and VettaFi, the Technology Partner, AI Product & Delivery sets product strategy and roadmap, manages delivery dependencies with AI Engineering and Data Infrastructure, and is the primary interface to business leadership on what the function will ship and when. Engineering retains technical authority for the build; this role is accountable for the portfolio and the delivery outcome. The role reports to the Chief AI & Data Officer.

Requirements

10+ years in technology product or delivery leadership, including direct experience delivering AI/ML or data products into production.
Track record of owning a product portfolio and delivery outcomes across multiple concurrent initiatives.
Strong understanding of AI/ML and Generative AI product patterns; able to define use cases and make build-vs-buy and prioritization calls with technical credibility.
Experience leading cross-functional teams and product owners, including delivering through teams that do not all report into the role (matrix delivery).
Demonstrated executive-level business partnership; able to influence business-unit leaders and represent a portfolio at enterprise reviews.
Experience with Agile product development and modern delivery practices.
Excellent communication and presentation skills, including experience presenting to senior leadership.
Strategic and conceptual thinker who is comfortable with ambiguity, pace, and scarce-resource trade-offs.
Bachelor's degree in a relevant field

Nice To Haves

Experience in capital markets or the broader financial services industry is an asset; familiarity with the TMX context is a plus.
an advanced degree or MBA is an asset.

Responsibilities

Defines AI product strategy and roadmap across TMX and its affiliated entities, aligned to enterprise priorities and the portfolio direction set by the Chief AI & Data Officer.
Owns use-case definition end to end, from business problem through to a shippable, adopted product.
Translates the function's strategy into a prioritized delivery queue, making trade-off decisions across competing business demands.
Develops business cases for AI investment and secures funding alignment with the Chief AI & Data Officer.
Owns the intake queue: captures, qualifies, and sequences AI demand from across the enterprise.
Sets and runs the delivery rhythm, ensuring the function ships the right thing, on time, and adopted.
Accountable for delivery outcomes against the prioritized queue, including where the build is executed by AI Engineering.
Manages delivery dependencies across AI Engineering, Data Infrastructure, and the AI Operations & Responsible AI function.
Leads and develops the team of technical product owners, setting standards for product discipline, prioritization, and delivery.
Works closely with the Head of AI Engineering & Development as a core matrixed relationship: this role owns the prioritized queue and delivery accountability, Engineering owns the build and technical authority, and the two operate as a single delivery partnership.
Fosters a culture of accountability, business partnership, and outcome ownership across the product team.
Serves as the primary interface between the AI & Data function and business-unit leadership on product status, roadmap, and delivery.
Builds and maintains partnerships across TMX and its affiliated entities so use cases reflect real business need and land in adoption.
Represents the AI product portfolio at enterprise business reviews.
Partners with the AI Operations & Responsible AI function so products move cleanly through intake review, controls, and audit readiness.
Defines and tracks adoption and business-outcome metrics, closing the loop from delivery to realized value.