Lead, AI
Dollarama Inc. - Mont Royal
Posted Jun 12, 2026
Benefits
- Parental leave
- Not verified
- Non-birth-parent leave
- Not verified
- Family-building benefits
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- Fertility benefits: Not verified
- Adoption assistance: Not verified
- Surrogacy assistance: Not verified
- Mental health support
- Not verified
- Relocation assistance
- Not verified
- Childcare support
- Not verified
- Learning budget
- Not verified
- Verification
- Not verified
- Salary
- Not verified
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Market context
- U.S. role benchmark (BLS OEWS)
- $111,944 U.S. median for this role
- Projected growth (BLS Employment Projections)
- +13.7% - Much faster than average
Matched to SOC 15-1252 - Data and ML aggregate by role bucket.
Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.
Role
Schedule
- Shift type
- Not verified
- Weekend work
- Not verified
Application
- Cover letter
- Not verified
- Assessment
- Not verified
- Deadline
- Not stated
Where they hire
State eligibility is not yet verified.
About this role
Lead, AI Mont Royal Job Summary Dollarama is seeking a strategic and hands-on AI leader to lead its AI Center of Excellence and drive the responsible adoption of artificial intelligence across the business. Reporting to the VP of IT, this role is accountable for shaping the enterprise AI vision, overseeing a portfolio of AI initiatives, and ensuring that solutions deliver measurable business value while meeting governance, ethics, privacy and risk standards. The ideal candidate combines deep expertise in AI, machine learning, data science, MLOps and AI governance with the leadership skills needed to influence senior stakeholders and scale AI capabilities across retail operations, back office, supply chain, merchandising, and corporate functions. This person will serve as the company's internal AI authority, helping translate strategy into practical, high-impact execution. Key Accountabilities Lead and develop the AI Center of Excellence as the central hub for AI strategy, standards, reusable assets and delivery practices Build and mentor a multidisciplinary team spanning data science, ML engineering, MLOps and AI governance Own the enterprise AI roadmap and prioritize initiatives based on strategic alignment, feasibility and business value Oversee end-to-end AI delivery, from opportunity identification and business case development to deployment, monitoring and adoption Advise senior leadership and the AI Steering Committee on investments, priorities, risks and emerging opportunities Establish g
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