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Product Manager - Senior

The Senior Product Manager, Enterprise AI will provide end-to-end product leadership for priority AI initiatives, from opportunity identification and intake through prioritization, delivery, adoption, and benefits realization.

  • Toronto, Ontario, Canada
  • Contract
  • Hybrid
  • CA$71–CA$107 per hour
  • Posted Nov 6, 2026
INDUSTRYSoftware & InternetAI & Machine LearningData & Analytics

Responsibilities

  • Lead the intake, assessment, and prioritization of enterprise AI opportunities and use cases.
  • Develop and maintain the enterprise AI roadmap, balancing business value, strategic alignment, feasibility, data readiness, risk, and delivery capacity.
  • Identify business needs, enterprise data priorities, and capability gaps through engagement with stakeholders across the organization.
  • Translate business challenges into clearly defined AI products, use cases, requirements, outcomes, and success measures.
  • Provide product leadership across the lifecycle, from discovery and experimentation through implementation, adoption, and continuous improvement.
  • Coordinate across business, data science, engineering, architecture, technology, project delivery, and governance teams.
  • Engage Privacy, Cybersecurity, Legal, Data Governance, Responsible AI, and other control functions as appropriate.
  • Develop business cases, value propositions, KPIs, and benefits-realization measures for priority initiatives.
  • Track adoption and business outcomes and recommend whether AI solutions should be scaled, enhanced, or retired.
  • Identify opportunities to develop reusable enterprise AI and data capabilities that can support multiple business areas.

Requirements

  • Degree in Business
  • Computer Science
  • Information Systems
  • Engineering
  • Data/Analytics
  • Experience in a Enterprise AI
  • Experience in a digital transformation

Nice to have: Public Sector Experience

Skills

AI/MLGenerative AIdata productsAzure Machine LearningMicrosoft Foundry/Azure AI FoundryLLMsRAGmachine learninganalyticsenterprise data platformsAI/ML pipelinesmodel evaluationpredictive modellingtechnical product managementproduct ownershipproduct strategiestechnical roadmapsprioritization frameworksbusiness casesAzure Machine LearningAzure AI Foundry

Full description

RQ00240 - Product Manager - Senior Location: Hybrid – 3 days a week onsite 6 months  (130 business days) - possible extension - Office Location: 277 Front St W - Toronto Must Haves: Strong experience delivering AI/ML, Generative AI, and data products, with sufficient technical depth to challenge solution approaches, assess architecture and model choices, and guide technical teams. Strong working knowledge of Azure Machine Learning, Microsoft Foundry/Azure AI Foundry, LLMs, RAG, machine learning, analytics, and enterprise data platforms, including an understanding of AI/ML pipelines, model evaluation, predictive modelling, and related techniques. Significant experience in technical product management or product ownership, including developing product strategies, technical roadmaps, prioritization frameworks, and business cases, and translating complex business requirements into scalable AI solutions that deliver measurable value. Public Sector Experience: preferred but not required Description: Senior Product Manager, Enterprise AI Position Summary: The Senior Product Manager, Enterprise AI will provide end-to-end product leadership for priority AI initiatives, from opportunity identification and intake through prioritization, delivery, adoption, and benefits realization. Working across business, Data & AI, Technology, and governance teams, the role will translate business needs into high-value AI opportunities, establish product roadmaps and priorities, and ensure AI investments deliver measurable organizational value. Key Responsibilities Lead the intake, assessment, and prioritization of enterprise AI opportunities and use cases. Develop and maintain the enterprise AI roadmap, balancing business value, strategic alignment, feasibility, data readiness, risk, and delivery capacity. Identify business needs, enterprise data priorities, and capability gaps through engagement with stakeholders across the organization. Translate business challenges into clearly defined AI products, use cases, requirements, outcomes, and success measures. Provide product leadership across the lifecycle, from discovery and experimentation through implementation, adoption, and continuous improvement. Coordinate across business, data science, engineering, architecture, technology, project delivery, and governance teams. Engage Privacy, Cybersecurity, Legal, Data Governance, Responsible AI, and other control functions as appropriate. Develop business cases, value propositions, KPIs, and benefits-realization measures for priority initiatives. Track adoption and business outcomes and recommend whether AI solutions should be scaled, enhanced, sustained, or retired. Identify opportunities to develop reusable enterprise AI and data capabilities that can support multiple business areas. Qualifications & Experience Degree in Business, Computer Science, Information Systems, Engineering, Data/Analytics, or a related field, or equivalent experience. Significant experience in product management, product ownership, digital transformation, data/analytics, AI, or technology delivery. Demonstrated experience developing product strategies, roadmaps, prioritization frameworks, and business cases. Experience translating complex business needs into technology, data, analytics, or AI-enabled solutions. Strong understanding of AI, Generative AI, machine learning, analytics, enterprise data, and Responsible AI concepts. Strong stakeholder management, facilitation, communication, and decision-making skills. Ability to influence across business and technical teams and communicate complex concepts clearly to senior stakeholders. AI Disclaimer: Source Code may use artificial intelligence (AI) tools to assist in certain aspects of its recruiting and business operations. Note: The higher end of the range is intended for absolutely exceptional candidates who meet all must-have requirements and most or all nice-to-have qualifications. The client will evaluate candidates based on both rate expectations and overall skill set when shortlisting. INCORPORATED RATE RANGE (7.25 billable hours per day) - $88.92/hr - $106.84/hr Inc. T4 RATE RANGE (7.25 billable hours per day) - $71.14/hr - $85.47/hr T4  

Product Manager - Senior at Source Code | Referso Jobs