AI/ML Program Manager required to establish and grow the Client’s AI/ML Practice, and to lead the end-to-end delivery of high-impact innovation initiative
S.i. Systems
Toronto, ON-
Number of positions available : 1
- Salary To be discussed
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Contract job
- Published on February 19th, 2026
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Starting date : 1 position to fill as soon as possible
Description
Our GTA based, Municipal Government client seeks a strategic, execution-focused Artificial Intelligence (AI)/Machine Learning (ML) and Innovation Program Manager to establish and grow the their AI/ML Practice, and to lead the end-to-end delivery of high-impact innovation initiatives.
ROLE:
The incumbent will set at the intersection of technology, business, and transformation. The ideal candidate is a senior project or program manager with a strong foundation in emerging technologies, specifically in AI/ML, and a proven track record of driving innovation from concept to pilot to scaled implementation.
The incumbent will be responsible for:
· Establishing the AI/ML Practice, defining its structure, operating model, roadmap, and governance in collaboration with cross-functional stakeholders
· Driving AI/ML and emerging tech initiatives: identifying, prioritizing, and managing a portfolio of proof-of-concepts (PoCs), prototypes, and pilot projects
· Coordinating cross-functional teams across business units, data science, engineering, operations, and vendor partners to ensure successful outcomes
· Translating business needs into use cases and technical requirements
· Tracking progress, measuring impact and providing clear reporting to leadership
MUST HAVE:
• 8+ years of experience in program or project management, with a strong track record of delivering complex, cross-functional initiatives.
• Experience managing innovation or digital transformation programs from ideation to execution.
• Solid understanding of project management methodologies (e.g., Agile, Waterfall) with PMP, Agile, or equivalent certifications preferred.
• Solid understanding of AI/ML concepts, technologies, and use cases (e.g., NLP, computer vision, predictive analytics).
• Experience working closely with data scientists, ML engineers, or AI vendors to deliver solutions.
• Proven experience in managing large, complex projects, particularly in the fields of Machine Learning, Artificial Intelligence, and Digital Transformation.
• Experience with business case development, ROI analysis, and the ability to manage stakeholder expectations.
Disclaimer:
AI may be used in evaluating candidates.
Requirements
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