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Product Manager who owns the delivery of AI‑ and ML‑enabled products, translating defined use cases into compliant, scalable solutions in close partnership

Toronto, ON
  • À discuter
  • Emploi Permanent

  • Publié il y a 11 jour(s)

  • 1 poste à combler dès que possible

What You’ll Do

  • Own the end-to-end delivery of AI and ML products, from intake of defined use cases through development, deployment, and optimization
  • Translate business needs into AI use cases, technical requirements, and success metrics
  • Develop and manage the product roadmap for assigned AI initiatives (strategy and use cases are defined by leadership)
  • Lead sprint planning, backlog prioritization, timelines, dependencies, and release planning
  • Partner closely with ML engineers, Azure specialists, data leaders, and AI implementation leads to move solutions into production
  • Ensure AI solutions meet privacy, security, regulatory, and compliance standards (e.g., PIPEDA, PHIPA)
  • Act as the AI subject matter expert (SME) for business teams-package completed solutions and support adoption
  • Drive stakeholder communication and provide regular progress updates (e.g., monthly updates)
  • Identify improvement opportunities and champion continuous enhancement of AI products
  • Stay current with developments in Generative AI, LLMs, and AI agents, applying them where relevant

What You’ll Bring

  • Bachelor’s degree in Computer Science, Engineering, Data Science, Health Informatics, or a related field
  • 2-6 years of total experience, with at least 2 years working on AI or ML-driven products
  • Experience delivering digital, data, or AI-enabled products in an agile environment
  • Solid understanding of:
  • AI/ML product lifecycles
  • Software development and sprint-based delivery
  • How AI solutions move from concept to production
  • Strong technical fluency without needing to be hands-on (not an ML engineer role)
  • Ability to clearly explain technical concepts to non-technical stakeholders
  • Experience working with cross-functional teams and vendors
  • Familiarity with Azure AI services and cloud-based data architectures is an asset
  • Strong communication, stakeholder management, and collaboration skills


Disclaimer:
AI may be used in evaluating candidates.
This posting is for an existing vacancy.
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