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Lead, AI

Dollarama Inc. - Mont Royal

Posted Jun 12, 2026

Benefits

Parental leave
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Non-birth-parent leave
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Family-building benefits
  • Fertility benefits: Not verified
  • Adoption assistance: Not verified
  • Surrogacy assistance: Not verified
Mental health support
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Relocation assistance
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Childcare support
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Learning budget
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Verification
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Salary
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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

Role function
Data From the posting source checked Jun 20, 2026
Seniority
Senior From the posting source checked Jun 20, 2026

Schedule

Shift type
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Weekend work
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Application

Cover letter
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Assessment
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Deadline
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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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