Product Owner

Job Title: Product Owner

Location: Markham, ON (Hybrid)

Estimated Duration: 12 Months

Job Title

Product Owner – AI-Enabled Enterprise Solutions

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Role Summary

We are seeking a Product Owner to drive the delivery of enterprise IT solutions while actively enabling AI-assisted and intelligent automation initiatives.

This role acts as the primary bridge between business stakeholders, IT delivery teams, and AI/data partners, ensuring solutions are well-defined, prioritized, governed, and aligned to business outcomes. The role spans traditional enterprise application delivery as well as emerging Copilot-style, AI-enabled, and agent-assisted workflows.

The ideal candidate combines strong business analysis and product ownership fundamentals with a practical understanding of how AI can augment decision-making, reduce manual effort, and modernize enterprise processes.

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Key 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 systems end-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 where required.

· Write and execute functional test cases and support user and business acceptance testing.

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2. AI & Intelligent Automation Opportunity Identification

· Analyze business processes to identify where AI, Copilot-style tools, automation, or agent-based solutions can reduce manual effort and improve outcomes.

· Identify repetitive, rules-based, or information-heavy activities suitable for AI augmentation or automation.

· Partner with stakeholders to frame AI opportunities in measurable business terms (e.g., productivity improvement, cycle time reduction, decision support).

· Leverage AI tools (e.g., Copilot, prompt-based assistants) to support requirements analysis, documentation, ideation, and early solution exploration.

· Identify decision points where AI can act as decision support or a semi-autonomous “digital teammate”, with clear human oversight.

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3. AI Requirements & Delivery Enablement

· Elicit and define requirements for AI-enabled initiatives, including:

o Business objectives and success criteria

o User interaction models (human-in-the-loop vs. automation)

o Inputs, outputs, decision boundaries, and escalation rules

· Translate business needs into AI-ready user stories, acceptance criteria, and prompt or logic descriptions suitable for AI or agent-based implementations.

· Identify and 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 to validate feasibility, refine scope, and adjust requirements based on risk and complexity.

· Support testing and validation of AI outputs, including quality, accuracy, explainability, and exception handling.

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4. AI Governance, Risk & Responsible Use

· Ensure AI-enabled features are appropriately governed, transparent, and aligned with enterprise AI, data, and security policies.

· Capture and maintain AI use-case documentation (purpose, scope, data inputs, user impacts, controls) to support governance and audit needs.

· Identify and 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.

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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.

· Collaborate effectively with cross-functional IT teams to enable timely and high-quality delivery.

 

· Translate complex technical and AI concepts into clear, business-focused language.

· Support change management and adoption by clearly defining how AI-enabled capabilities fit into daily workflows and decision-making.

· Contribute to improving overall AI literacy through documentation, walkthroughs, and practical examples.

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Qualifications & Experience

· 4–6+ years of experience in Business Systems Analysis, Product Ownership, or IT delivery in an enterprise environment.

· Strong experience delivering enterprise applications using Agile, waterfall, or hybrid methodologies.

· Demonstrated experience writing clear requirements, user stories, process flows, and acceptance criteria.

· Practical, working knowledge of AI, automation, analytics, and Copilot-style tools (no model development required).

· Strong stakeholder management, communication, and facilitation skills.

· Hands-on experience with Jira, Confluence, and Lucid (required).

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Preferred / Nice to Have

· Experience supporting AI-enabled, automation, or intelligent workflow initiatives.

· Familiarity with agent-based automation or advanced workflow orchestration concepts.

· Working knowledge of Salesforce Service Cloud and/or Experience Cloud.

· Experience in domains such as automotive, finance, sales, contact center, or technical operations.

· Exposure to Kepner-Tregoe, Lean, Six Sigma, or process re-engineering methodologies.

· Relevant certifications (CSPO, SAFe POPM, PMP, or equivalent).