Product Owner, Artificial Intelligence Technology

The Product Owner, Artificial Intelligence (AI) acts as the primary liaison between business stakeholders and technical engineering teams. Reporting to the Head of Product, Artificial Intelligence, this role translates business requirements into product vision-owning the delivery of AI products and driving AI adoption across TMX. Responsibilities span functional and process design, prototyping, testing, training, and operational support. The Product Owner, Artificial Intelligence (AI) acts as the primary liaison between business stakeholders and technical engineering teams. Reporting to the Head of Product, Artificial Intelligence, this role translates business requirements into product vision-owning the delivery of AI products and driving AI adoption across TMX. Responsibilities span functional and process design, prototyping, testing, training, and operational support. Responsibilities: - Vision and Roadmap: Define and communicate the product vision and long-term roadmap to ensure all stakeholders and team members are aligned on the end goal. - Internal Discovery & Ideation: Actively partner with corporate functions and business units to identify high-value opportunities for automation, where components can be shared across teams, and how to bring them to life. - Rapid Prototyping: Use agentic development tooling to validate the feasibility of an idea before it goes to engineering. Bring technical learnings and insights from development upstream into standard product definition processes. - Execution Ownership: Accountable for ROI maximization across all lifecycle phases of AI products, bringing sharp technical & business judgement to acceptance criteria (including performance evaluation), technical feasibility, strategic fit, enterprise risk, security and productionalization. - Stakeholder Engagement: Act as the central point of contact between a business and a technical team to manage expectations and negotiate trade-offs. - Delivery Innovation: Drive structural improvements across team practices to continuously smooth and accelerate the delivery of future AI solutions and AI-assisted workflows. - Change Management: Lead the training and adoption for staff, helping them transition from manual work to AI-assisted workflows Required Skill Set: - University degree in Computer Science or related field. - Seven years' experience in information systems with two or more years of experience in applying AI to practical and comprehensive technology solutions. - Solid foundational knowledge of machine learning (ML) and large language models (LLM). - Demonstrated understanding of strengths, weaknesses, opportunities, limitations and developments in cutting edge AI products. - Domain understanding of capital markets-including capital formation, cash/derivatives trading, post-trade clearing and settlement, and market data services. - Strong familiarity capital markets, participants and surrounding ecosystem: workflows, data needs, and operational requirements - Ability to lead through influence without direct authority over the team and communicate complex technical concepts to non-technical stakeholders. - Deep understanding of Agile Delivery Methodology. Salary Range: 140,000/year -180,000/year CAD Please note that the salary range included is a guideline only. The salary offered may vary based on factors, including, but not limited to, the successful candidate's relevant knowledge, skills, and experience. The recruiting efforts for this role are intended to fill a vacant position.