Senior Product Manager - Toronto

Randstad Canada; Toronto; Hybrid; CAD 110,000 - 170,000; Full time

Benefits offered by this job

AI Ownership

Azure ML & LLMs

Cross-team Collaboration

Hybrid Schedule

Job summary

Randstad Canada seeks an experienced Senior Product Manager to lead enterprise AI and data initiatives in a hybrid Toronto role. You will manage the full product lifecycle from opportunity intake to benefits realization, coordinating with data science, engineering, governance, and enterprise architecture to deliver scalable Generative AI and data solutions.

The position emphasizes strategic AI ownership, collaboration with executives, and a flexible hybrid schedule with three onsite days in

Qualifications

• AI/ML and enterprise data product delivery expertise.
• Azure ML, LLMs, Retrieval-Augmented Generation (RAG) and data platforms familiarity.
• Technical roadmaps, strategic business cases and value delivery.

Responsibilities

• Lead intake, evaluation, and prioritization of enterprise AI opportunities and analytical use cases.
• Define and maintain product roadmaps balancing business value, data readiness, technical feasibility, delivery capacity, and risk.
• Translate complex operational challenges into AI product scopes, technical requirements, acceptance criteria, and measurable success metrics.
• Provide technical product leadership across the full development lifecycle, guiding discovery, rapid prototyping, and production implementation.
• Collaborate with data scientists, ML engineers, and data architects to evaluate model architectures, algorithms, and pipeline scalability.
• Coordinate cross-functional alignment with engineering, legal, privacy, cybersecurity, data governance, and Responsible AI teams.
• Develop business cases, ROI models, KPIs, and benefits-realization frameworks for strategic AI initiatives.
• Monitor adoption, model performance, and business impact to advise on scaling or retiring solutions.
• Identify reusable enterprise data and AI capabilities to reduce redundancies.

Skills

AI/ML Product Delivery

Azure AI & Foundry

Technical Product Management

Cross-Functional Translation

Governance & Responsible AI

Education & Background

Education

Degree in Business, CS, IS, Eng, Data/Analytics

Tools

Azure DevOps

Jira

Job description

We are seeking an experienced Senior Product Manager to provide end-to-end product leadership for strategic enterprise Artificial Intelligence (AI) and data initiatives. In this role, you will oversee the product lifecycle from initial opportunity intake, business case formulation, and technical discovery through to iterative delivery, user adoption, and benefits realization. Bridging business stakeholders, data science teams, engineering squads, enterprise architects, and governance control functions, you will evaluate technical architecture and model choices, build strategic product roadmaps, and steer the delivery of scalable, high-value Generative AI, machine learning, and data solutions that drive measurable business outcomes.

Location: Toronto, ON (Hybrid - 3 days a week onsite)

Duration: 6 months.

Advantages

• Strategic AI Ownership: Lead high-visibility enterprise AI, Generative AI, and machine learning product portfolios.
• Modern Cloud Stack: Direct solutions leveraging Azure AI Foundry, Azure Machine Learning, LLMs, and RAG architectures.
• High-Impact Collaboration: Partner closely with executive sponsors, data science experts, and enterprise architecture leads.
• Flexible Hybrid Model: Enjoy a balanced hybrid work schedule with 3 days onsite in Toronto.

Responsibilities

• Lead the intake, strategic evaluation, and prioritization of enterprise AI opportunities and analytical use cases.
• Define and maintain comprehensive product roadmaps balancing business value, data readiness, technical feasibility, delivery capacity, and risk.
• Translate complex operational challenges into well-defined AI product scopes, technical requirements, acceptance criteria, and quantifiable success metrics.
• Provide technical product leadership across the full development lifecycle, guiding discovery, rapid prototyping, production implementation, and continuous solution enhancement.
• Partner with data scientists, machine learning engineers, and data architects to critically evaluate model architectures, algorithms, RAG designs, and pipeline scalability.
• Coordinate cross-functional alignment between engineering squads, business sponsors, legal, privacy, cybersecurity, data governance, and Responsible AI teams.
• Develop compelling business cases, return-on-investment (ROI) models, KPIs, and benefits-realization frameworks for strategic AI initiatives.
• Monitor product adoption, model performance, and business impact to advise on scaling, optimizing, or retiring existing solutions.
• Identify and advocate for reusable enterprise data and AI capabilities that eliminate redundancies across multiple business units.

Qualifications

• AI/ML & Data Product Delivery: Strong, proven experience delivering AI/ML, Generative AI, and enterprise data products, backed by the technical depth required to evaluate architecture choices, challenge solution approaches, and guide engineering teams (Strictly Required).
• Azure AI & Modern AI Ecosystem: Strong working knowledge of Azure Machine Learning, Microsoft Foundry / Azure AI Foundry, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), analytics, and enterprise data platforms, including familiarity with ML pipelines, model evaluation, and predictive modeling (Strictly Required).
• Technical Product Management: Significant experience in technical product management or product ownership, including building product strategies, technical roadmaps, prioritization frameworks, and business cases that deliver measurable value (Strictly Required).
• Cross-Functional Translation: Demonstrated ability to translate complex business needs into scalable technical requirements and manage products through multidisciplinary delivery teams (Strictly Required).
• Governance & Responsible AI: Solid understanding of data governance, cybersecurity, privacy, model risk management, and Responsible AI frameworks (Strictly Required).
• Education & Background: Degree in Business, Computer Science, Information Systems, Engineering, Data/Analytics, or a related field, or equivalent practical experience (Strictly Required).

Nice-to-Have Assets

• Prior technical product management experience within the public sector or large-scale regulated enterprise environments.
• Hands-on familiarity with agile delivery tooling such as Azure DevOps or Jira.
• Relevant industry certifications in product management (e.g., CSPO, Pragmatic Institute) or cloud data/AI technologies.

Only qualified candidates will be contacted for the next steps. We look forward to hearing from you!

Randstad Canada is committed to fostering a workforce reflective of all peoples of Canada. As a result, we are committed to developing and implementing strategies to increase the equity, diversity and inclusion within the workplace by examining our internal policies, practices, and systems throughout the entire lifecycle of our workforce, including its recruitment, retention and advancement for all employees. In addition to our deep commitment to respecting human rights, we are dedicated to positive actions to affect change to ensure everyone has full participation in the workforce free from any barriers, systemic or otherwise, especially equity-seeking groups who are usually underrepresented in Canada's workforce, including those who identify as women or non-binary/gender non-conforming; Indigenous or Aboriginal Peoples; persons with disabilities (visible or invisible) and; members of visible minorities, racialized groups and the LGBTQ2+ community.

Randstad Canada is committed to creating and maintaining an inclusive and accessible workplace for all its candidates and employees by supporting their accessibility and accommodation needs throughout the employment lifecycle. We ask that all job applications please identify any accommodation requirements by sending an email to [e-mail] to ensure their ability to fully participate in the interview process.

This posting is for existing and upcoming vacancies.