Senior Manager, Analytics Engineering & Data Science / Senior Manageress, Analytics Engineering & Data Science

Join Our Team at Restaurant Brands International Inc.

Ready to make your next big professional move? Join us on our journey to build the most beloved restaurant brands in the world.

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

We proudly own four of the world's most 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 our “Restaurant Brands for Good” framework, we are committed to enhancing sustainable outcomes related to food, the environment, and our communities.

Our Opportunity

Restaurant Brands International (RBI) is looking for a Senior Manager, Analytics Engineering & Data Science to lead a crucial team supporting our EMEA business. This highly visible role sits at the intersection of data engineering, data science, AI implementation, and analytics, driving the technical direction and operating model for how data is engineered, modeled, governed, and translated into decisions across our EMEA markets.

The role demands exceptional leadership to build and scale a team, deep technical credibility across the modern data stack (including the development of scalable LLM-enabled products), and the discernment to prioritize competing demands from Analytics, Marketing, Digital, Operations, Finance, and Franchise stakeholders across all EMEA markets. The ideal candidate will be adept at architecting a three-year data strategy, coaching a data scientist through a forecasting model, presenting a data strategy to senior leadership, or designing an AI-enabled pricing intelligence platform (both front-end and back-end).

This role reports to the Senior Director of Analytics, Insights, Data, and Digital, EMEA.

Work Environment

RBI promotes a collaborative atmosphere with a 5-day, in-office work schedule. Candidates should be comfortable working onsite five days a week.

Your Roles & Responsibilities

Team Leadership & Strategy

• Build, lead, and mentor a growing, multi-disciplinary team spanning analytics engineering, product development, data science, data engineering, and data operations across EMEA.
• Collaborate effectively within a matrix-style organization alongside several global data and technology teams.
• Set team strategy, priorities, and ways of working, focusing on growing the data talent pool across the EMEA region.

Data Strategy & Architecture

• Own the short- and long-term data strategy for EMEA, including the target data architecture and platform roadmap, as well as build-vs-buy vendor/tooling decisions.
• Partner with global data teams to optimize the design, scalability, and reliability of EMEA's data pipelines, warehousing, and architecture (primarily Snowflake and AWS).
• Ensure alignment with global data standards while adapting to local market needs, particularly in compliance with EU GDPR regulations.

Data Product & Design

• Own and build all key EMEA data products, collaborating with international teams for full global productionization.
• Lead the design and delivery of key Analytics & Data Science products in partnership with internal teams and external consulting partners.

AI & Emerging Capability

• Identify opportunities to apply AI/LLM capabilities within analytics and data science workflows to enhance productivity and create new insights.
• Prototype and pilot advanced AI/ML capabilities in partnership with global AI enablement teams.
• Evaluate emerging tools, platforms, and vendors, making build-vs-buy recommendations for AI-driven data capabilities.

Data Operations & Governance

• Oversee data quality, cataloging, and documentation of process flows across the EMEA data estate.
• Establish scalable prioritization and governance practices as the team and data estate grow.
• Define and maintain data governance standards, ensuring compliance with GDPR and other regional data privacy and regulatory requirements.

Your Skills and Experience

• Bachelor's degree or higher in Computer Science, Data Science, Statistics, Engineering, or a related quantitative field.
• 6-10 years of experience in data engineering, analytics, or data science, preferably within the QSR, restaurant, or hospitality industry.
• 3+ years of direct people leadership experience managing technical teams.
• Substantial experience leading cross-functional product teams with a proven track record in deploying valuable analytics and data products.
• Deep expertise in SQL and cloud data warehousing; experience with Snowflake and AWS is required.
• Experience with AI/LLM enablement or GenAI tooling in data and analytics workflows.
• Strong data visualization skills (Tableau, Power BI, or similar) with the ability to convert complex analyses into clear, actionable recommendations.
• Familiarity with workflow orchestration and modern data stack tooling.
• Programming skills in Python and/or R, with experience in statistical or machine learning techniques a plus.
• Excellent communication and executive presentation skills; ability to engage a diverse range of stakeholders.
• Experience operating across multiple countries or markets, with an understanding of data privacy regulations (GDPR) and cross-border data considerations.
• Relevant certifications (e.g., Snowflake SnowPro, AWS Certifications) are a plus.
• Fluency in English is required.

Apply online using the form below. Only applications matching the job profile will be considered.