Contract jobs in Canada (25,640 jobs)

Explore contract jobs across Canada. Choose a location and read the full job details.

25,640 listings · 5,499 employers Counted Nov 8, 2026. How we count

About these jobs

Employers hiring include Walmart Canada (1,342 listings), Insight Global (494 listings), Actalent (316 listings).

Common roles: Project manager, Software engineer, Software developer.

7,285 of these listings include employer-provided pay. Open a job to see its currency and pay period.

Advertised starting pay
Pay period	Median starting pay	Listings
CAD / hour	33.00	6,075
CAD / year	70,000.00	988
USD / year	84,000.00	27
CAD / week	1,500.00	26
CAD / month	3,774.50	24
CAD / day	700.00	10
USD / hour	40.00	10

Employer-listed minimums from at least 10 listings per currency and pay period. These are advertised starting amounts, not employee salaries. Jobs without a minimum and unusual amounts are excluded.

Workplace classifications: 3% remote, 25% hybrid, 72% on-site, 0% not specified. Hybrid and on-site classifications may be inferred from descriptions. Check the original ad.

Based on the dated count above. Listings can change. How we count

Contract jobs in Canada

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Global Pharma Tek

Product Manager (Enterprise AI)

ON, Canada
Ontario, Canada, Canada

Contract

Apply About employer

Applications open in a new tab.

Job details

Job type: Contract
Apply by: Dec 4, 2026
Working hours: 36.25 hours/week
Posting language: English
Posted: Nov 4, 2026

Original job description

Job Role: Product Manager, Enterprise AI
Job-Type: Contract Opportunity - 6-month term
Possibility of Extensions: Yes, optional extension of 6 months.
Job Location: Toronto, ON - M5V 2X4, Canada. | Hybrid Work - 3 days/week in the office required.
Work Hours: 7.25 Hours a Day or 36.25 hours/week, Monday to Friday

MUST-HAVE Experience & Skills:

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.

Role Summary: The 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 & Deliverables:

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.

NOTE: Demonstrated deliverables from current and previous contracts may be provided as formal documents, review comments, working-session outputs, annotated artifacts, decision notes, issue logs, or other written outputs accepted.

Key Qualifiers:

Public Sector Experience: preferred but not required
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.

Apply About employer

More about this job

Responsibilities

Lead enterprise AI initiatives from opportunity intake and prioritization through delivery, adoption, and benefits realization, while maintaining a roadmap aligned with business value, feasibility, risk, and organizational capacity. Coordinate business, data, technology, and governance teams; define success measures; track outcomes; and identify reusable AI and data capabilities.

Requirements

Requires significant experience in product management, product ownership, or related technology, data, analytics, or AI delivery, including developing strategies, roadmaps, prioritization frameworks, and business cases. Candidates should have strong knowledge of AI/ML, Generative AI, enterprise data, and Responsible AI, along with the technical depth and communication skills to translate complex business needs into scalable solutions.

Skills

AI Product Management
Generative AI
Machine Learning
Azure Machine Learning
Microsoft Foundry
Azure AI Foundry
Large Language Models
Retrieval-Augmented Generation
Enterprise Data Platforms
AI/ML Pipelines
Model Evaluation
Predictive Modeling
Product Strategy
Roadmap Development
Stakeholder Management
Responsible AI

Visa sponsorship

Not detected in the job text

Keywords

Enterprise AI
Generative AI
Machine Learning
Azure Machine Learning
Microsoft Foundry
Azure AI Foundry
Large Language Models
Retrieval-Augmented Generation
Analytics
Enterprise Data Platforms
AI/ML Pipelines
Model Evaluation
Predictive Modeling
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
Use Case Assessment

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