Product Manager II, Advanced Analytics, Tim Hortons, Canada (AI/ML)

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

Base salary: CAD 100,000–150,000 per year, plus potential discretionary bonus and equity eligibility.

Company

Restaurant Brands International owns Tim Hortons, hirify.global, Popeyes, and Firehouse Subs and operates a global quick service restaurant business.

What you will do

• Manage intake, evaluation, prioritization, delivery, and maintenance of advanced analytics, machine learning, AI, and data engineering initiatives.
• Own and regularly update the advanced analytics and data engineering roadmap.
• Translate business problems into clear requirements and align business stakeholders, data scientists, and engineering teams.
• Coordinate cross-functional planning, timelines, milestones, status reporting, and outcomes across multiple initiatives.
• Support deployment of machine learning models and data pipelines by aligning objectives, success metrics, and delivery plans.
• Partner with engineering and data science 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.
• 5+ years of experience in product management, analytics project management, or data-focused program coordination.
• Ability to translate technical work into business impact and communicate with technical and non-technical audiences.
• Experience managing cross-functional projects with multiple stakeholders and competing priorities.
• Familiarity with SQL, Python, modern data tools such as Databricks, Snowflake, AWS, Datadog, and Adobe, and analytics visualization tools.
• Excellent organizational, prioritization, and communication skills, with a focus on delivering and communicating results and updates.
• Adaptability and proactive problem-solving in a fast-paced, evolving environment.

Nice to have

• Understanding of data engineering, machine learning, and AI model development processes.

Culture & Benefits

• Five-day, in-office work schedule supporting collaboration.
• Opportunity to work with data scientists, engineers, and business leaders in a growing analytics organization.
• Global office benefits focused on physical, mental, and financial wellness.
• Comprehensive global paid parental leave, free telemedicine, and mental wellness support.
• Equal opportunity employer with disability accommodations available upon request.