Senior Product Manager, Enterprise AI JP240

Pathlion; Toronto; On-site; CAD 120,000 - 180,000; Full time

Job summary

Pathlion seeks a Senior Product Manager for Enterprise AI to lead end-to-end AI initiatives, from opportunity identification through delivery and benefits realization.

You will collaborate with Data & AI, Technology, governance, and business teams to translate needs into high-value AI opportunities, establish roadmaps, and ensure measurable value realization.

Qualifications

• Senior Product Manager for enterprise AI leading end-to-end initiatives.
• Translate business needs into AI opportunities and measurable outcomes.
• Develop roadmaps, prioritize features, and define success metrics.

Responsibilities

• Lead intake, assessment, and prioritization of enterprise AI opportunities.
• Develop and maintain enterprise AI roadmap balancing value and feasibility.
• Identify data priorities and capability gaps through stakeholder engagement.
• Translate challenges into defined AI products, requirements, and success metrics.
• Provide lifecycle product leadership from discovery to adoption.
• Coordinate across business, data science, engineering, governance.
• Engage Privacy, Cybersecurity, Legal, and Responsible AI as needed.
• Develop business cases, value propositions, KPIs, and benefits realization.
• Track adoption and outcomes; decide on scaling or retirement.
• Identify reusable AI/data capabilities to support multiple areas.

Skills

AI product management

Roadmaps & strategy

Cross-functional leadership

Stakeholder engagement

Discovery & experimentation

Job description

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.