Product Manager who owns the delivery of AI‑ and ML‑enabled products, translating defined use cases into compliant, scalable solutions in close partnership
S.i. Systems
Toronto, ON- Salary To be discussed
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Permanent job
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Published since 11 day(s)
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1 position to fill as soon as possible
Description
What You’ll Do
- Own the end-to-end delivery of AI and ML products, from intake of defined use cases through development, deployment, and optimization
- Translate business needs into AI use cases, technical requirements, and success metrics
- Develop and manage the product roadmap for assigned AI initiatives (strategy and use cases are defined by leadership)
- Lead sprint planning, backlog prioritization, timelines, dependencies, and release planning
- Partner closely with ML engineers, Azure specialists, data leaders, and AI implementation leads to move solutions into production
- Ensure AI solutions meet privacy, security, regulatory, and compliance standards (e.g., PIPEDA, PHIPA)
- Act as the AI subject matter expert (SME) for business teams-package completed solutions and support adoption
- Drive stakeholder communication and provide regular progress updates (e.g., monthly updates)
- Identify improvement opportunities and champion continuous enhancement of AI products
- Stay current with developments in Generative AI, LLMs, and AI agents, applying them where relevant
What You’ll Bring
- Bachelor’s degree in Computer Science, Engineering, Data Science, Health Informatics, or a related field
- 2-6 years of total experience, with at least 2 years working on AI or ML-driven products
- Experience delivering digital, data, or AI-enabled products in an agile environment
- Solid understanding of:
- AI/ML product lifecycles
- Software development and sprint-based delivery
- How AI solutions move from concept to production
- Strong technical fluency without needing to be hands-on (not an ML engineer role)
- Ability to clearly explain technical concepts to non-technical stakeholders
- Experience working with cross-functional teams and vendors
- Familiarity with Azure AI services and cloud-based data architectures is an asset
- Strong communication, stakeholder management, and collaboration skills
AI may be used in evaluating candidates.
This posting is for an existing vacancy.
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Requirements
Level of education
undetermined
Diploma
undetermined
Work experience (years)
undetermined
Written languages
undetermined
Spoken languages
undetermined
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