Product Manager, Advanced Analytics, Tim Hortons, Canada
Role Overview
The Product Manager, Advanced Analytics joins Tim Hortons’ Toronto team to coordinate analytics and data engineering initiatives using machine learning and artificial intelligence.
The role connects data scientists and engineers with business partners, leading project intake, prioritization, delivery, and maintenance.
The role emphasizes execution, stakeholder alignment, and adoption of analytics solutions.
Key Skills for This Role
Full Job Posting
Company
Restaurant Brands International owns Tim Hortons, Burger King, Popeyes, and Firehouse Subs.
Role overview
The Product Manager, Advanced Analytics joins Tim Hortons’ Toronto team to coordinate analytics and data engineering initiatives using machine learning and artificial intelligence.
The role connects data scientists and engineers with business partners, leading project intake, prioritization, delivery, and maintenance.
The role emphasizes execution, stakeholder alignment, and adoption of analytics solutions.
Workplace
- The position requires working onsite five days per week at the Toronto office.
What you’ll do
- Manage requests and roadmaps for advanced analytics, ML/AI, and data engineering work.
- Translate business problems into requirements and coordinate stakeholders, scientists, and engineers.
- Coordinate plans, track delivery, support model and pipeline deployments, and communicate milestones and outcomes.
- Define project objectives and measurable outputs; collaborate on model validation, performance monitoring, and improvement.
What you’ll need
- Bachelor’s degree in Business, Data Science, Computer Science, Engineering, or a related field.
- At least four years in product management, analytics project management, or data-focused program coordination.
- Understanding of data engineering, machine learning, and AI model development is a plus.
- Experience managing cross-functional projects and communicating technical work as business impact.
- Familiarity with SQL, Python, modern data tools, and analytics visualization tools; listed tools include Databricks, Snowflake, AWS, Datadog, and Adobe.
- Strong organization, prioritization, communication, adaptability, and proactive problem-solving.
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