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Sr. Manager, Supply Chain Data, Analytics and Systems, Tim Hortons

Job in Toronto, Ontario, M5A, Canada
Listing for: Restaurant Brands International Inc
Full Time position
Listed on 2026-07-20
Job specializations:
  • IT/Tech
    Data Analyst, Business Systems & Technology Analysis, Change Management
Job Description & How to Apply Below

Ready to make your next big professional move? Join us on our journey to achieve our big dream of building the most loved restaurant brands in the world.

Restaurant Brands International Inc. is one of the world's largest quick service restaurant companies with nearly $45 billion in annual system-wide sales and over 32,000 restaurants in more than 120 countries and territories.

RBI owns four of the world's most prominent and iconic quick service restaurant brands – TIM HORTONS®, BURGER KING®, POPEYES®, and FIREHOUSE SUBS®. These independently operated brands have been serving their respective guests, franchisees and communities for decades. Through its Restaurant Brands for Good framework, RBI is improving sustainable outcomes related to its food, the planet, and people and communities.

RBI is committed to growing the TIM HORTONS®, BURGER KING®, POPEYES® and FIREHOUSE SUBS® brands by leveraging their respective core values, employee and franchisee relationships, and long track records of community support. Each brand benefits from the global scale and shared best practices that come from ownership by Restaurant Brands International Inc.

The Senior Manager, Supply Chain Data, Analytics and Systems (Tim Hortons) will lead the design and execution of supply chain transformation through data and systems. This strategic, cross-functional role drives impactful improvements across the end-to-end supply chain as part of the Supply Chain Excellence team.

This role is responsible for a range of processes and projects, with a focus on Data, Analytics and Systems to drive network performance, process transformation, systems enablement, and operational efficiency across Distribution, Planning, Manufacturing, Coffee Operations, and customer service teams.

This individual will balance strategic thinking with hands-on analysis, reporting and execution. By leveraging data, insights, systems, and industry best practices, identify opportunities, influence decision-making, and deliver measurable business impact to digitize our supply chain. The role requires strong leadership in navigating ambiguity, driving alignment across functions, and leading change at scale.

Reporting to the Director, Supply Chain Excellence, this is a high-impact, high-visibility role based primarily in Toronto, with periodic travel between Guelph, Oakville and Ancaster ON, for a total of 5 days/week in office. This role may require occasional travel to Distribution Centres, Manufacturing Plants or other locations throughout Canada and the US based on project work, as required.

Roles And Responsibilities

Strategic Leadership & Continuous Improvement

  • Define and lead a portfolio of high-impact initiatives aligned to Supply Chain strategic priorities
  • Identify opportunities to improve service levels, reduce cost, and enhance operational resilience
  • Champion change management to ensure adoption, accountability, and long-term sustainability of new processes and tools
  • Analytics & Data Management

  • Lead data-driven problem solving, leveraging large datasets to uncover insights, identify risks and inform strategic decisions
  • Develop and validate business cases, including financial and operational impact assessments
  • Own and evolve executive-level reporting on key supply chain KPI’s including summarizing data, preparing slides and commentary around key Supply Chain metrics (fill rates, service, cost, on-time, etc.)
  • Translate analytics into clear, actionable recommendations for senior leadership
  • Design, build, and maintain supply chain reporting platforms and dashboards (Power BI, Tableau, or equivalent), ensuring data accuracy, consistency, and executive-ready visualization across the end-to-end supply chain
  • Define and govern supply chain data standards, KPI definitions, and reporting logic to ensure a single source of truth across functions; partner with IT and data engineering to maintain data quality and pipeline reliability
  • Apply data management principles, including data modeling, master data, and lifecycle governance, to ensure supply chain data is accurate, structured, and fit for use
  • Evaluate opportunities to apply advanced analytics, AI, machine learning, and…
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