Senior Product Manager

* Contract * Hybrid (Toronto, Ontario) * Posted on November 4, 2026 **Tri-global Solutions Group Inc.** **SENIOR PRODUCT MANAGER (Enterprise AI & Data Centre of Excellence)** **Requisition #:** R26-3628 (RQ00240) **Location:** Hybrid (3 days onsite / 2 days WFH; Toronto, ON – \*See Work Model) **Engagement Type:** Contract **Number of Resources required:** 1 **Term:** 2026-11-23 to 2027-05-23 (130 days) with possible extension **Rate (CAD):** Up to $102.00 per hour / Commensurate with related experience and market competitiveness **Hours per day:** 7.25 **Security Screening**: Standard (Criminal Record Check) ———————————————————————— Tri-global Solutions Group Inc. is seeking one (1) Senior Product Manager to join our talented Service Delivery team within Metrolinx. ***WORK MODEL:*** *The successful contractor will be working hybrid with 3 days in office at 277 Front Street West, Toronto, Ontario and 2 days remote/work from home per week.* Please review the project overview, description of services, and requirements below. If you meet the requirements and are interested in submitting for this role, please reply to this job posting. If you know other consultants who may be interested in this opportunity kindly share this job posting. Thank you. Tri-global Solutions Group Inc. Website: https://tri-global.com ———————————————————————— **PROJECT OVERVIEW** 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. **DESCRIPTION OF SERVICES** 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 whet