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Change Management Consultant - Senior

Source Code · Posted Nov 11, 2026

Open

Toronto, Ontario, Canada
Senior
$87–$105 per hour

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Change Management Consultant - Senior

Source Code · Posted Nov 11, 2026

Open

Toronto, Ontario, Canada
Senior
$87–$105 per hour

Apply with Referso

Product Manager - Senior

Source Code · Posted Nov 6, 2026

Open

Toronto, Ontario, Canada
Hybrid
Contract · Senior
CA$71–CA$107 per hour

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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.

Compensation

INCORPORATED RATE RANGE (7.25 billable hours per day) - $88.92/hr - $106.84/hr Inc. T4 RATE RANGE (7.25 billable hours per day) - $71.14/hr - $85.47/hr T4

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.

Requirements

Degree in Business
Computer Science
Information Systems
Engineering
Data/Analytics

Skills

AI/ML Generative AI

Product Manager - Senior

Source Code · Posted Nov 6, 2026

Open

Toronto, Ontario, Canada
Hybrid
Senior
$89–$107 per hour

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Senior Data Architect/Modeller will design and evolve enterprise data architecture and data models to enable scalable analytics, AI, and data products.

Compensation

- $88.92/hr - $106.84/hr Inc. - $71.14/hr - $85.47/hr T4

Responsibilities

Design and maintain enterprise data architecture and conceptual, logical, and physical data models supporting AI, analytics, and operational use cases.
Define scalable architecture patterns for the integration, storage, transformation, sharing, and consumption of enterprise data.
Design reusable data products and common data models that can support multiple business and AI use cases.
Contribute to the organization's future-state data architecture, including transition from existing platforms and architectures.
Identify and define critical data assets and domains required to support enterprise priorities.

Requirements

Degree in Computer Science, Information Systems, Data Management, Engineering, or a related discipline, or equivalent experience.

Skills

enterprise data architecture data modelling data engineering

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