Technology Partner, AI Operations & AI

Venture outside the ordinary - TMX Careers

The TMX group of companies includes leading global exchanges such as the Toronto Stock Exchange, Montreal Exchange, and numerous innovative organizations enhancing capital markets. United as a global team, we are connecting cross-functionally, traversing industries and geographies, moving opportunity into action, advancing global economic growth, and propelling progress. Through a rich exchange of ideas, meaningful collaboration, and a nimble operating model, we are powering some of the nation's most critical systems, fueling capital formation and innovation, bringing increased opportunity to business visionaries, product ingenuity to consumers, and career exploration to our team.

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The Technology Partner, AI Operations & Responsible AI is accountable for the operating process and first‑line controls that allow TMX to build and deploy AI responsibly and  role owns the end‑to‑end AI operating process, from intake through approval, deployment, and ongoing operation, and ensures alignment across the first‑line and second‑line functions that touch each use case, including product teams, legal, procurement, information security, and privacy.

Operating as a first‑line function (1b), the role owns the Responsible AI framework and policy lifecycle, AI risk policy and model risk management, the data governance function, and dev‑tool governance. It runs the process and owns first‑line controls; it is distinct from the independent second‑line governance functions (enterprise risk management, model validation, compliance), which retain independent challenge and oversight. The role coordinates closely with those functions but does not replace them.

The role reports to the Chief AI & Data Officer.

• Owns the end‑to‑end AI operating process: intake, qualification, control review, approval, deployment, and ongoing operation of AI use cases.
• Acts as the orchestration point across first‑line and second‑line stakeholders (product teams, legal, procurement, information security, privacy, enterprise risk), driving each use case to a clear outcome.
• Keeps all stakeholders informed and moving, including the business units awaiting the outcome of the intake and approval process, so use cases progress predictably and do not stall between functions.
• Runs the operating cadence and reporting that gives the function, and the business, visibility into where each request sits and what it needs to advance.
• Maintains and improves the operating model and controls as the AI estate scales.

• Operates as a first‑line (1b) control and operating function: owns the process and first‑line controls embedded in the delivery flow.
• Is explicitly distinct from second‑line governance: enterprise risk management, independent model validation, and compliance retain independent challenge and oversight.
• Coordinates the boundary and hand‑offs with second line so accountability is clear, challenge is preserved, and there is no duplication or gap.

• Owns the Responsible AI framework, policy lifecycle, and ethical standards for AI across TMX.
• Maintains AI risk policy and keeps it current with the regulatory environment and the function's deployment footprint.

• Owns first‑line model risk management: model inventory, risk‑tiering, control expectations, and ongoing monitoring of models in use.
• Coordinates with independent model validation and second‑line risk so the independent‑challenge boundary is clear and defensible.

• Owns the data governance function, with a data governance team reporting into the role.
• Owns data governance policy and its operation across the AI estate: lineage, privacy, classification, data quality, access, and data policy.
• Establishes data ownership and stewardship, and ensures data used for use cases and model development is governed, classified, and trusted.
• Partners with Data Infrastructure on the technical implementation and enforcement of data controls.

• Owns dev‑tool governance: the three‑tier…