Product Manager, Advanced Analytics, Tim Hortons, Canada

Location: Toronto, Ontario, Canada; onsite five days per week

Base salary: CAD 100,000–150,000 per year, plus eligibility for an annual discretionary bonus and possible equity grants.

Company

Restaurant Brands International operates major quick service restaurant brands including Tim Hortons, hirify.global, Popeyes, and Firehouse Subs across more than 120 countries and territories.

What you will do

• Manage intake, evaluation, prioritization, and delivery of advanced analytics, machine learning, AI, and data engineering requests.
• Maintain the roadmap for advanced analytics and data engineering teams.
• Translate business problems into clear requirements and align business stakeholders with data scientists and engineers.
• Coordinate cross-functional planning, timelines, milestones, and progress across multiple initiatives.
• Support deployment of machine learning models and data pipelines by aligning objectives, success metrics, and delivery plans.
• Communicate project outcomes and partner with technical teams to validate models, monitor performance, and drive continuous improvement.

Requirements

• Bachelor’s degree in Business, Data Science, Computer Science, Engineering, or a related field.
• 4+ years of experience in product management, analytics project management, or data-focused program coordination.
• Experience translating technical work into business impact and communicating with technical and non-technical audiences.
• Experience managing cross-functional projects with multiple stakeholders and competing priorities.
• Familiarity with SQL, Python, modern data tools, and analytics visualization tools.
• Ability to work onsite five days per week in Toronto, Ontario.

Nice to have

• Understanding of data engineering, machine learning, and AI model development processes.
• Familiarity with Databricks, Snowflake, AWS, Datadog, and Adobe.

Culture & Benefits

• Opportunity to work within a growing analytics organization where data and technology drive business decisions and guest experiences.
• Collaboration with data scientists, engineers, and business leaders.
• Comprehensive global paid parental leave.
• Free telemedicine and mental wellness support.
• Benefits focused on physical, mental, and financial wellness.