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Added 30 mins ago
SM
RQ00240 – Product Manager – Senior
S M Software Solutions Inc
Toronto, ON
- Full-time
We are seeking an experienced Senior Product Manager – Enterprise AI to provide end-to-end product leadership for enterprise AI initiatives. The ideal candidate will have strong experience…
Added 30 mins ago
SM
RQ00240 – Product Manager – Senior
S M Software Solutions Inc
Toronto, ON
- Full-time
We are seeking an experienced Senior Product Manager – Enterprise AI to provide end-to-end product leadership for enterprise AI initiatives. The ideal candidate will have strong experience…
Added 30 mins ago
SM
RQ00240 – Product Manager – Senior
S M Software Solutions Inc
Toronto, ON
- Full-time
We are seeking an experienced Senior Product Manager – Enterprise AI to provide end-to-end product leadership for enterprise AI initiatives. The ideal candidate will have strong experience…
Added 30 mins ago
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S M Software Solutions Inc

RQ00240 – Product Manager – Senior

Toronto, ON, Canada

Hybrid

Full-time

Apply About employer

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Job details

Job type: Full-time
Workplace: Hybrid
Apply by: Dec 7, 2026
Posting language: English
Posted: Nov 7, 2026

Original job description

Client: Metrolinx – RQ00240

We are seeking an experienced Senior Product Manager – Enterprise AI to provide end-to-end product leadership for enterprise AI initiatives. The ideal candidate will have strong experience delivering AI/ML, Generative AI, and data products, along with a solid understanding of Azure Machine Learning, Microsoft Foundry/Azure AI Foundry, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), machine learning, analytics, and enterprise data platforms.

The successful candidate will lead the identification, assessment, prioritization, delivery, adoption, and continuous improvement of enterprise AI initiatives. This role will work closely with business, Data & AI, Technology, and governance teams to translate business needs into high-value AI opportunities, develop product roadmaps, and ensure AI investments deliver measurable organizational value.

Role Snapshot

Job Title: RQ00240 – Product Manager – Senior
Client: Metrolinx
Work Location: 277 Front Street West, Toronto, Ontario, Canada
Work Arrangement: Hybrid – 3 Days per Week Onsite
Estimated Start Date: November 23, 2026
Estimated End Date: May 23, 2027
Business Days: 130.00
Hours: 7.25 hours per day
Job Type: Contract

Must Have

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

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.

Additional Information

Work Arrangement: Hybrid.
Public Sector Experience: Preferred but not required.

How to Apply

If you are interested and your profile matches the requirements, kindly send the following mandatory documents to hrsmss@smsoftconsulting.com by Monday, November 9, 2026, at 8:00 AM EST.

Mandatory Documents

Updated Resume in Word format (Mandatory)
Skills Matrix and References (Mandatory)
Expected Hourly Rate (Mandatory)
Visa Status (Mandatory)
LinkedIn ID (Mandatory)

Please note that we cannot proceed with your submission without the mandatory documents.

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You have received this message either as a result of contacting our company to express interest in employment or as a result of posting your resume in a location that can be accessed by recruiters or HR specialists, which suggests an interest in being contacted about employment opportunities.

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More about this job

Responsibilities

Lead enterprise AI opportunities from intake and prioritization through delivery, adoption, and continuous improvement, while maintaining the AI roadmap and aligning initiatives with business value, feasibility, risk, and capacity. Coordinate business, data, technology, and governance teams; define success measures and business cases; and track outcomes to guide scaling, enhancement, or retirement decisions.

Requirements

Requires significant experience in product management, product ownership, or related technology, data, analytics, or AI delivery, including strategy, roadmaps, prioritization, and business cases. Candidates should have strong knowledge of AI/ML, Generative AI, enterprise data, Azure Machine Learning and Azure AI Foundry, plus the ability to translate complex business needs into scalable solutions and influence technical and senior stakeholders.

Skills

AI Product Management
Generative AI
Machine Learning
Azure Machine Learning
Azure AI Foundry
Large Language Models
Retrieval-Augmented Generation
Enterprise Data Platforms
Product Strategy
Roadmap Development
Product Prioritization
Business Case Development
Stakeholder Management
Responsible AI
Model Evaluation
Benefits Realization

Visa sponsorship

Not detected in the job text

Keywords

Enterprise AI
AI/ML
Generative AI
Azure Machine Learning
Microsoft Foundry
Azure AI Foundry
Large Language Models
Retrieval-Augmented Generation
Machine Learning Pipelines
Model Evaluation
Predictive Modelling
Analytics
Enterprise Data Platforms
Technical Product Management
Product Ownership
Product Strategy
Technical Roadmaps
Prioritization Frameworks
Business Cases
Data Readiness
Responsible AI
Data Governance
Privacy
Cybersecurity
Benefits Realization
Stakeholder Management
Digital Transformation

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