
We are seeking a Senior Product Owner to drive the delivery of enterprise IT solutions while actively enablingAI‑assistedand intelligent automation initiatives.
This role acts as the primary bridge between business stakeholders, IT delivery teams, and AI/data partners, ensuring solutions arewell‑defined, prioritized, governed, and aligned to business outcomes. The role spans traditional enterprise application delivery as well as emergingCopilot‑style,AI‑enabled, andagent‑assistedworkflows.
The ideal candidate combines strong business analysis and product ownership fundamentals with a practical understanding of how AI can augmentdecision‑making, reduce manual effort, and modernize enterprise processes.
Responsibilities
1. Product Ownership & Enterprise Application Delivery
Own and manage the product vision, roadmap, and backlog for assigned enterprise IT initiatives across business domains.
Elicit and refine business requirements through workshops, interviews, and process reviews.
Translate business needs into epics, features, user stories, and acceptance criteria using enterprise tools (e.g., Jira, Confluence).
Document business processes, system flows, and functional logic using clear diagrams and narratives (e.g., Lucid).
Assess enterprise systemsend‑to‑end, from user experience through integrations, data flows, and downstream impacts.
Balance business value, technical feasibility, regulatory obligations, and delivery risk.
Support Agile, waterfall, and hybrid delivery models, including formal governance and design documentation whererequired
Write and execute functional test cases and support user and business acceptance testing.
2. AI & Intelligent Automation Opportunity Identification
Analyze business processes toidentifywhere AI,Copilot‑styletools, automation, oragent‑basedsolutions can reduce manual effort and improve outcomes.
Identifyrepetitive,rules‑based, orinformation‑heavyactivities suitable for AI augmentation or automation.
Partner with stakeholders to frame AI opportunities in measurable business terms (e.g., productivity improvement, cycle time reduction, decisionsupport).
Leverage AI tools (e.g., Copilot,prompt‑basedassistants) to support requirements analysis, documentation, ideation, and early solution exploration.
Identifydecision points where AI can act as decision support or asemi‑autonomous“digital teammate”,with clear human oversight.
3. AI Requirements & Delivery Enablement
Elicit and define requirements forAI‑enabledinitiatives, including:
Businessobjectivesand success criteria
User interaction models (human‑in‑the‑loopvs. automation)
Inputs, outputs, decision boundaries, and escalation rules
Translate business needs intoAI‑readyuser stories, acceptance criteria, and prompt or logic descriptions suitable for AI oragent‑basedimplementations.
Identifyand document data requirements for AI use cases (source systems, data quality, metadata, access constraints) in collaboration with SMEs and data teams.
Work iteratively with technical and AI teams tovalidatefeasibility, refine scope, and adjust requirements based on risk and complexity.
Support testing and validation of AI outputs, including quality, accuracy, explainability, and exception handling.
4. AI Governance, Risk & Responsible Use
EnsureAI‑enabledfeatures are appropriately governed, transparent, and aligned with enterprise AI, data, and security policies.
Capture andmaintainAIuse‑casedocumentation (purpose, scope, data inputs, user impacts, controls) to support governance and audit needs.
Identifyand factor in ethical, legal, data privacy, and compliance considerations when defining AI requirements.
Collaborate with governance, legal, risk, and data teams to support AI approval, lifecycle management, and traceability.
5. Stakeholder Management & Change Enablement
Serve as the primary point of contact between business, IT, vendors, and AI/data teams.
Facilitate alignment on scope, priorities, risks, dependencies, and outcomes.
Translate complex technical and AI concepts into clear,business‑focusedlanguage.
Support change management and adoption by clearly defining howAI‑enabledcapabilities fit into daily workflows anddecision‑making
Contribute to improving overall AI literacy through documentation, walkthroughs, and practical examples.
Qualifications
4–6+ years of experience inBusiness Systems Analysis, Product Ownership, or IT delivery in an enterprise environment.
Strong experience deliveringenterprise applications using Agile, waterfall, or hybrid methodologies.
Demonstrated experience writingclear requirements, user stories, process flows, and acceptance criteria
Practical, working knowledge ofAI, automation, analytics, andCopilot‑styletools(no model development required).
Strong stakeholder management, communication, and facilitation skills.
Hands‑ onexperience withJira, Confluence, and Lucid (required).
Preferred / Nice to Have
Experience supportingAI‑enabled, automation, or intelligent workflow initiatives.
Familiarity withagent‑basedautomation or advanced workflow orchestration concepts.
Experience in domains such as automotive, finance, sales, contact center, or technical operations.
Exposure toKepner‑Tregoe, Lean, Six Sigma, or processre‑engineeringmethodologies.
Relevant certifications (CSPO,SAFePOPM, PMP, or equivalent).
HIRING PRACTICES
The salary range for this position is$94,750 - $112,516annually. Individual salaries within this range aredeterminedby a variety of job-related factors, including education, experience, knowledge, and skill set.
This is an on-site with occasional work-from-home position that requires employees to work on-site four days per week with the opportunity towork-from-home one day per week (with a dedicated workspace at the assigned company office).
This posting is for an existing vacancy that Honda Canada Inc. is activelyseekingto fill
Honda Canada Inc. does not use artificial intelligence (AI) in its recruitment or candidate selection processes.
Honda Canada Inc. is committed to providing accommodations during the recruitment process for applicants with disabilities, upon request.Accommodationswilltake into accountthe applicant’s accessibility needs.If you require accommodation at any time during the recruitment process, please email Human Resources ataccessibility@honda.caor call (905) 888-4331.

In 1969, when Honda came to Canada, we came as a small company with a dream. We began with motorcycles and power equipment and it took a lot of work to gain the confidence and trust of Canadians. But we worked hard and over time our products earned the respect of the marketplace. And so we grew. In 1986, we built a manufacturing facility in Alliston, Ontario. In 1998, we built a second plant at that same site, and in 2008, we completed the construction of a third facility, a $154-million engine plant. In May of 2010, Honda Canada moved into our new Gold Certified LEED® (Leadership in Energy and Environmental Design) Head Office in Markham, Ontario.
Today, we source nearly $2.1 billion in goods and services from Canadian-based suppliers each year, produce approximately 400,000 vehicles annually at our manufacturing facilities and we employ more than 19,000 Canadians in manufacturing, sales offices and dealerships across the country. Simply put, Honda is a remarkable Canadian success story that will celebrate it's 55th anniversary in 2024.
Thank you Canada.
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