EMEA Analytics & Data Science Leader | AI & Data Strategy

rbi

Zug

Vor Ort

CHF 150.000 - 190.000

Vollzeit

Vor 3 Tagen
Sei unter den ersten Bewerbenden

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Zusammenfassung

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

The ideal candidate will build and scale a multi-disciplinary team, partner with global data teams, own the data

Qualifikationen

  • Bachelor's degree or higher in Computer Science, Data Science, Statistics, Engineering.
  • Proven leadership experience in analytics, data science or data engineering teams.

Aufgaben

  • Build, lead, and mentor a growing, multi-disciplinary analytics team spanning analytics engineering, data science, and data operations across EMEA.
  • Collaborate effectively with global data and technology teams in a matrix-style organization.
  • Own the short- and long-term data strategy for EMEA including the target data architecture and platform roadmap.
  • Lead analytics product design and delivery with internal teams and external partners, including AI-enabled capabilities.
  • Oversee data quality, cataloging, and governance practices and ensure GDPR compliance.

Ausbildung

Bachelor's degree or higher in Computer Science, Data Science, Statistics, Engineering

Tools

Snowflake
AWS

Jobbeschreibung

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

The ideal candidate will build and scale a multi-disciplinary team, partner with global data teams, own the data

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