Job DescriptionJob Description

Job Title: Product Manager - Senior

Location: Toronto, Ontario, Canada

Work Model: Hybrid

Duration: 6 months

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.

Description / Responsibilities / Skills

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 advantages realization.

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.
- 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.
- Track adoption and business outcomes and recommend whether AI solutions should be scaled, enhanced, sustained, or retired.

Qualifications & Experience

- Degree in Business, Computer Science, Information Systems, Engineering, Data/Analytics, or a related field, or equivalent experience.
- 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.

📌 Product Manager - Senior (Toronto)
🏢 Innosystech
📍 Toronto