Product Owner, Artificial Intelligence Technology
Role Overview
The Product Owner, Artificial Intelligence serves as the primary liaison between business stakeholders and technical engineering teams.
The role translates business requirements into product vision, owns AI product delivery, and drives AI adoption across TMX.
Work spans functional and process design, prototyping, testing, training, and operational support.
Key Skills for This Role
Full Job Posting
Role overview
The Product Owner, Artificial Intelligence serves as the primary liaison between business stakeholders and technical engineering teams.
The role translates business requirements into product vision, owns AI product delivery, and drives AI adoption across TMX.
Work spans functional and process design, prototyping, testing, training, and operational support.
Responsibilities
- Define and communicate the product vision and long-term roadmap.
- Identify high-value automation opportunities with corporate functions and business units, including opportunities for shared components.
- Prototype ideas with agentic development tools and bring technical learnings into product definition.
- Own lifecycle execution and return on investment, including acceptance criteria, performance evaluation, feasibility, strategic fit, risk, security, and production readiness.
- Manage stakeholder expectations and trade-offs between business and technical teams.
- Improve team practices to accelerate future AI solutions and AI-assisted workflows.
- Lead staff training and adoption of AI-assisted workflows.
Required qualifications
- University degree in computer science or a related field.
- Seven years of information systems experience, including at least two years applying AI to practical, comprehensive technology solutions.
- Solid foundational knowledge of machine learning and large language models.
- Understanding of cutting-edge AI products and their strengths, weaknesses, opportunities, limitations, and developments.
- Capital-markets understanding, including capital formation, cash and derivatives trading, post-trade clearing and settlement, and market data services.
- Familiarity with capital-markets participants, workflows, data needs, and operational requirements.
- Ability to lead through influence and communicate complex technical concepts to non-technical stakeholders.
- Deep understanding of Agile delivery methodology.
Salary
- Salary range is CAD 140,000 to CAD 180,000 per year; the offered amount may vary with relevant knowledge, skills, and experience.
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