Senior Manager, Analytics Engineering & Data Science, EMEA in Zug

ppbReady 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. /b /ppRestaurant 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. /ppRBI 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. /ppRBI 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. /ph3Our Opportunity /h3pRestaurant Brands International (RBI) is looking for a bSenior Manager, Analytics Engineering Data Science /b to lead a critical team supporting our EMEA business. This is a highly visible role sitting at the intersection of data engineering, data science, AI Implementation, and analytics — responsible for driving the technical direction and operating model for how data is engineered, modeled, governed, and turned into decisions across our EMEA markets. /ppThe role requires people leadership to build and scale a team, deep technical credibility across the modern data stack (Inclusive of building scaled LLM-enabled products), and the judgment to prioritize across competing demands from Analytics, Marketing, Digital, Operations, Finance, and Franchise stakeholders across all EMEA markets. The ideal candidate will be equally effective in architecting a 3-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 (Front and Back end). /ppThis role reports into the Senior Director, Analytics, Insights, Data, and Digital, EMEA. /ppbRBI follows a 5 day, in-office work schedule to support collaboration. Candidates should be comfortable working onsite 5 days per week. /b /ph3Your Roles Responsibilities /h3h3Team Leadership Strategy /h3ulliBuild, lead, and mentor a growing, multi-disciplinary team spanning analytics engineering, product development, data science, data engineering, and data operations across EMEA. /liliCollaborate effectively with several global data and technology teams in a matrix-style organization. /liliSet team strategy, priorities, and ways of working with a particular focus in growing the data talent bench across the EMEA region. /li /ulh3Data Strategy Architecture /h3ulliOwn the short- and long-term data strategy for EMEA including the target data architecture and platform roadmap, build-vs-buy vendor/tooling decisions, and how the region's data investments are prioritized and sequenced against business demand. /liliCollaborate with global data teams to optimize the design, scalability, and reliability of EMEA's data pipelines, warehousing, and architecture (primarily Snowflake and AWS). /liliEnsure alignment with global data standards while adapting to local market needs, particularly EU GDPR regulations. /li /ulh3Data Product Design /h3ulliOwn and build all key EMEA data products, interfacing with international teams for full global productionization (e.g., semantic data layer to enable AI chatbots). /liliLead key Analytics Data Science product design and delivery in collaboration with internal teams and external consulting partners (e.g., Pricing Intelligence Platform Software Suite). /li /ulh3AI Emerging Capability /h3ulliIdentify opportunities to apply AI/LLM capabilities within analytics and data science workflows to improve productivity and unlock new insight. /liliPrototype and pilot emerging AI/ML capabilities (e.g., GenAI-powered insight generation, forecasting copilots, automated anomaly detection) in partnership with global AI enablement teams. /liliEvaluate emerging tools, platforms, and vendors, and make build-vs-buy recommendations for AI-driven data capabilities. /li /ulh3Data Operations Governance /h3ulliOversee data quality, cataloging, and documentation of process flows across the EMEA data estate. /liliEstablish scalable prioritization (e.g., ticketing) and governance practices as the team and data estate grow. /liliDefine and maintain data governance standards — ownership, access, lineage, and retention — in coordination with legal, security, and global data governance teams. /liliEnsure compliance with GDPR and other regional data privacy and regulatory requirements across all EMEA data assets and pipelines. /li /ulh3Your Skills And Experience /h3ulliBachelor's degree or higher in Computer Science, Data Science, Statistics, Engineering, or a related quantitative field. /lili6-10 years of experience across data engineering, analytics, or data science, within QSR, restaurant or hospitality industry. /lili3+ years of direct people leadership managing technical teamswith proven ability to build, lead, and grow multi-disciplinary technical teams, including hiring, mentoring, and performance management. /liliSubstantial experience leading cross-functional product teams with a clear track record deploying tangible – value-add Analytics data products. /liliDeep, hands-on expertise in SQL, and cloud data warehousing; Snowflake and AWS experience are also required. /liliExperience with AI/LLM enablement or GenAI tooling application in data analytics workstreams. /liliStrong data visualization skills (Tableau, Power BI, or similar) and the ability to translate complex analysis into clear recommendations. /liliExperience with workflow orchestration (e.g., Airflow, Dagster), and modern data stack tooling (e.g., dbt, Terraform). /liliProgramming skills in Python and/or R, with experience applying statistical or machine learning techniques (forecasting, clustering, experimentation, etc.) a plus. /liliExcellent communication and executive presentation skills; comfortable engaging a range of stakeholders across multiple markets and functions. /liliExperience operating across multiple countries or markets, with awareness of data privacy regulation (GDPR) and cross-border data considerations. /liliRelevant certifications (e.g., Snowflake SnowPro, AWS Certifications) are a plus. /liliFluency in English is required. /li /ulpBenefits at all of our global offices are focused on physical, mental and financial wellness. We offer unique and progressive benefits, including a comprehensive global paid parental leave program that supports employees as they expand their families, free telemedicine and mental wellness support. /ppRestaurant Brands International and all of its affiliated companies (collectively, RBI) are equal opportunity and affirmative action employers that do not discriminate on the basis of race, national origin, religion, age, color, sex, sexual orientation, gender identity, disability, or veteran status, or any other characteristic protected by local, state, provincial or federal laws, rules, or regulations. RBI's policy applies to all terms and conditions of employment. Accommodation is available for applicants with disabilities upon request. /p /p #J-18808-Ljbffr