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Posted 5 days ago

AI Product Owner

@ Swoon

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Toronto, Ontario

Contract5+ years experience
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SIGNALS

Requirements summary:

  • Experience: 5+ years preferred
  • Own Product Roadmaps: Manage product backlogs, gather requirements, prioritize initiatives and oversee dependencies to keep delivery on track.
  • Bridge Business & Technology: Partner with business stakeholders, developers, data scientists and technical teams to translate business needs into clear product requirements.
  • Navigate Complex Delivery Environments: Balance structured waterfall delivery requirements with teams that operate using Agile methodologies.
  • 5+ years of experience in product ownership, product management, AI/analytics delivery or a related discipline.
  • Demonstrated experience managing products or initiatives through the full delivery lifecycle, from concept and requirements gathering through implementation.

Tools & skills

AgileRequirements gatheringPrioritizationMachine learningMLStakeholder managementCommunication skillsOrganizational skillsFinancial productsUnderwriting
Source and dates

Source type not verified · apify-linkedin

Employer posting date
2026-11-05
First seen by our source
2026-11-10
Source record updated
2026-11-10

These dates describe the source record, not a live verification that the employer is still hiring. Check the original posting.

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Job description

AI Product Owner – Commercial Banking

Location: 250 Yonge Street, Toronto, ON

Work Arrangement: 4 days onsite per week (specific days to be confirmed)

Contract Length: 18 months

Experience: 5+ years preferred

Rates:

T4: 65-75

IC: 80-90/hr

What You'll Be Doing

  • Drive AI Product Strategy & Execution: Translate broader AI strategies and product roadmaps into detailed execution plans, milestones, deliverables and priorities.
  • Own Product Roadmaps: Manage product backlogs, gather requirements, prioritize initiatives and oversee dependencies to keep delivery on track.
  • Lead End-to-End Product Delivery: Drive AI and data-driven initiatives from initial use case development through solution design, development, testing, pilot and implementation.
  • Bridge Business & Technology: Partner with business stakeholders, developers, data scientists and technical teams to translate business needs into clear product requirements.
  • Manage Stakeholder Relationships: Coordinate cross-functional teams, align competing priorities and communicate progress, risks and decisions to key stakeholders.
  • Support Implementation & Adoption: Oversee pilot activities, user feedback, change readiness and end-user enablement to ensure successful product adoption.
  • Measure Product Performance: Establish and monitor KPIs, adoption metrics and business outcomes to evaluate product effectiveness.
  • Navigate Complex Delivery Environments: Balance structured waterfall delivery requirements with teams that operate using Agile methodologies.
  • Drive Continuous Improvement: Identify opportunities to enhance existing products, improve processes and maximize the business value of AI solutions.

What We're Looking For

  • 5+ years of experience in product ownership, product management, AI/analytics delivery or a related discipline.
  • Demonstrated experience managing products or initiatives through the full delivery lifecycle, from concept and requirements gathering through implementation.
  • Strong experience developing product roadmaps, managing backlogs, prioritizing requirements and coordinating delivery plans.
  • Experience working on AI, machine learning, analytics or data-driven product initiatives.
  • Working knowledge of AI/ML concepts, data pipelines and the AI product lifecycle.
  • Experience working within waterfall delivery environments, with an understanding of Agile methodologies.
  • Proven ability to work across business and technical teams, translating complex technical concepts into actionable business requirements.
  • Strong stakeholder management, communication and organizational skills.
  • Ability to manage multiple initiatives, competing priorities, risks and dependencies in a fast-paced environment.

Nice to Have

  • Previous experience within banking, financial services or another regulated industry.
  • Exposure to Commercial Banking and an understanding of commercial financial products, lending processes or business banking operations.
  • Familiarity with commercial credit, lending or underwriting workflows.
  • Experience delivering AI or data-driven products within a financial institution.

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