Technical Product Owner, AI-Enabled Enterprise Solutions at TD in Toronto, ON
- Company: TD
- Location: Toronto, Ontario
- Salary: $97K – $137K
- Job type: full time
- Workplace: onsite
- Posted: 2026-10-02
Job description
Work Location: Toronto, Ontario, Canada Hours: 37.5 Line of Business: Enterprise Enabling Functions Pay Details: $96,900 - $136,800 CAD TD is committed to providing fair and equitable compensation opportunities to all colleagues. Growth opportunities and skill development are defining features of the colleague experience at TD. Our compensation policies and practices have been designed to allow colleagues to progress through the salary range over time as they progress in their role. The base pay actually offered may vary based upon the candidate's skills and experience, job-related knowledge, geographic location, and other specific business and organizational needs. As a candidate, you are encouraged to ask compensation related questions and have an open dialogue with your recruiter who can provide you more specific details for this role. Job Description: Role Overview The TD Global Technology & Services team is seeking an experienced Technical Product Owner to lead the development, evolution, and adoption of AI-enabled solutions that improve colleague productivity at TD. The Technical Product Owner establishes the product vision, roadmap, outcomes, and prioritized backlog for supported products and capabilities. The role combines strong product management with a practical understanding of PDLC and SDLC workflows, DevSecOps, enterprise integrations, operational risk, and AI-enabled decisioning. Working closely with customers, operations teams, engineering, architecture, business analysts, control partners, and technology delivery teams, the successful candidate will discover operational needs and translate them into valuable, usable, and feasible product capabilities. The successful candidate must understand the operational environment, lead customer research, make evidence-based product decisions, and exercise sound judgement about where AI and automation should be applied to enhance and speed up end-to-end outcomes. Success in the role is measured through customer and colleague outcomes, adoption and sustained use, decision quality, operational effectiveness, product reliability, and measurable business value. Key Accountabilities PRODUCT Define and champion the product vision, value proposition, roadmap, and measurable outcomes for AI-enabled operational capabilities Connect customer needs, Product Group strategy, operational challenges, technology opportunities, and control requirements into clear product direction In alignment with the product vision, create and maintain a product backlog and continuously re-prioritize work that will provide the most customer or end user value; Balance near-term value with product scalability, sustainability, integration, and strategic alignment Lead continuous discovery with customers and stakeholders. Develop a deep understanding of user workflows, decision points, pain points, constraints, and unmet needs Use customer feedback, workflow observation, operational data, telemetry, and product analytics to validate problems, test assumptions, shape opportunities, and continuously improve the product Continuously align with senior management on the product delivery roadmap, defined Minimum Marketable Features or Minimum Viable Products and release cadence Proactively engage established business process partners to ensure customers or end users are prepared for application changes and establish Day 2 processes Own and prioritize the product roadmap and backlog based on customer value, operational risk, strategic alignment, evidence, feasibility, and dependencies Provide user story design, development and completion oversight; accepting / rejecting user stories based on the agreed upon Definition of Done and Acceptance Criteria Work with Business Analysts and Business Systems Analysts to translate product intent into coherent business rules, workflows, functional requirements, and testable behaviours Manage delivery initiatives and oversee development team (pod) backlogs Proactively raise iss
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