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About the role
Job Description Alimentation Couche-Tard Inc. (ACT), a Fortune 200 global leader in convenience and mobility, operates across 31 countries and territories. The Payments AI Integration Specialist will drive the adoption of AI, automation, and advanced analytics across payment operations to enhance efficiency, reduce costs, and improve decision-making.
About the role
This role sits at the intersection of payments, financial data, and transformation, focusing on prompting and integrating AI-driven analytic solutions into existing workflows, optimizing analytics, and managing organizational change to ensure successful adoption across global teams.
Roles & Responsibilities Analytics & Strategy Identify and implement AI/automation across payment operations (e.g., anomaly detection, chargeback handling, cost optimization)
Integrate AI solutions into transaction processing, reporting, and exception management workflows
Lead change management initiatives, including stakeholder alignment, training, and adoption strategies
Collaborate with data, technology, and business teams to translate payment challenges into AI-driven solutions
onitor performance and continuously optimize AI models, processes, and business outcomes
Lead analytics using Genny or Coco through effective prompting
Operational Excellence Partner with respective team(s) to build, design, maintain, and automated dashboards and reporting
Stakeholder Management Working collaboratively across multiple sets of stakeholders—internal (Accounting, Retail Systems, D&A groups, etc.) and external (Issuers, Payment Brands, Processors, etc.)
Articulate work results to management
Job Requirements Education & Relevant Experience Bachelor’s or Master’s degree in Data Science, Computer Science, Business Analytics, Engineering, or related field
2+ years of experience in payments, fintech, banking, or financial services, with exposure to AI/ML implementations, process automation, analytics, and business transformation or change management initiatives
Behavioural Skills Adoption rate of AI-driven solutions across payment operations
Communication excellence
Independent worker
Efficiency gains and measurable ROI from AI initiatives
Knowledge Payment processing knowledge is preferred
Strong analytics skillset
AI use cases in payments (fraud detection, cost optimization, customer insights)
Enterprise reporting systems, relational analytics (MySQL, Microsoft SQL Server etc.)
Business intelligence & reporting (Power BI, Tableau, Alteryx, etc.)
Microsoft Office applications (MS Excel, Word, PowerPoint, etc.)
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