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AI Product Owner

  • Toronto, ON
  • Hybrid
  • Posted Oct 16, 2026
  • 1 position

$80–$90 / hour

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Employment type
Contract
Experience level
Senior · 5+ years
Posting language
English
Working hours
40 hours per week
Office presence
4 days per week
Seniority
Mid-Senior level
Application method
Direct apply is available

Job summary

Translate AI strategy into product roadmaps, requirements, and delivery plans, and lead AI and data-driven solutions from concept through implementation and adoption. Coordinate cross-functional teams, manage backlogs, dependencies, risks, and timelines, and track product performance and adoption while communicating progress to stakeholders.

Job details

AI Product Owner (Contract) Location: Toronto, ON (hybrid, 4 days onsite) Contract length: 18 months Compensation: 89-90/HR INC About the Role Our banking client is looking for an AI Product Owner to turn its AI strategy into detailed product plans and day-to-day execution. You’ll own the roadmap and delivery of AI products and use cases, working with Business, Technology, Data, Operations and Risk teams to take solutions from concept through pilot, implementation and adoption. What You’ll Do Translate AI strategy into product roadmaps, requirements and delivery plans Own and prioritize backlogs, dependencies and timelines Drive end-to-end delivery of AI and data-driven solutions Coordinate cross-functional teams and manage competing priorities and risks Gather business and user requirements and turn them into actionable deliverables Support testing, pilots, change readiness and end-user enablement Define and track product KPIs and adoption metrics Communicate progress, risks and decisions to stakeholders and leadership Work within waterfall delivery requirements alongside Agile teams What You Bring 5+ years in product management, AI/analytics delivery or a related role, ideally in financial services Proven end-to-end product delivery from concept to implementation Strong skills in roadmaps, requirements gathering, prioritization and backlog management Experience delivering AI, machine learning, analytics or data-driven solutions Working knowledge of AI/ML concepts, data pipelines and AI lifecycle management Experience with waterfall methodologies and an understanding of Agile practices Strong stakeholder management, communication and organizational skills Nice to Have Banking or financial services experience, especially commercial banking Experience delivering AI or data-driven products in a regulated environment Ideal Candidate A hands-on product owner who can bridge business strategy and technical execution, and turn AI opportunities into practical, scalable solutions.

What you’ll do

Translate AI strategy into product roadmaps, requirements, and delivery plans, and lead AI and data-driven solutions from concept through implementation and adoption. Coordinate cross-functional teams, manage backlogs, dependencies, risks, and timelines, and track product performance and adoption while communicating progress to stakeholders.

Requirements

Requires at least five years of experience in product management, AI or analytics delivery, or a related field, with proven end-to-end product delivery experience. Candidates should have experience delivering AI, machine learning, analytics, or data-driven solutions; knowledge of AI/ML concepts and data pipelines; and strong prioritization, stakeholder management, and communication skills.

Listed skills

  • Product management · Preferred
  • Requirements gathering · Preferred
  • Prioritization · Preferred
  • Cross-Functional Coordination · Preferred
  • Stakeholder Management · Preferred
  • Risk Management · Preferred
  • Data analysis · Preferred

Other relevant skills

Identified from the job description. Confirm important requirements above.

  • Product Management
  • AI Product Delivery
  • Product Roadmapping
  • Requirements Gathering
  • Backlog Management
  • Prioritization
  • Cross-Functional Coordination
  • Stakeholder Management
  • Risk Management
  • AI And Machine Learning
  • Analytics
  • Data Pipelines
  • AI Lifecycle Management
  • Waterfall Methodology
  • Agile Practices
  • KPI And Adoption Metrics

Job areas

  • Technology
  • Management & Leadership
  • Data & Analytics
  • Finance & Accounting

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