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 with several global data and technology teams in a matrix-style organization.
• Set team strategy, priorities, and ways of working with a particular focus in growing the data talent bench 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, build-vs-buy vendor/tooling decisions, and how the region's data investments are prioritized and sequenced against business demand.
• Collaborate 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 EU GDPR regulations.

Data Product & Design

• Own and build all key EMEA data products, interfacing with international teams for full global productionization (e.g., semantic data layer to enable AI chatbots).
• Lead key Analytics & Data Science product design and delivery in collaboration with internal teams and external consulting partners (e.g., Pricing Intelligence Platform & Software Suite).

AI & Emerging Capability

• Identify opportunities to apply AI/LLM capabilities within analytics and data science workflows to improve productivity and unlock new insight.
• Prototype and pilot emerging AI/ML capabilities (e.g., GenAI-powered insight generation, forecasting copilots, automated anomaly detection) in partnership with global AI enablement teams.
• Evaluate emerging tools, platforms, and vendors, and make 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 (e.g., ticketing) and governance practices as the team and data estate grow.
• Define and maintain data governance standards — ownership, access, lineage, and retention — in coordination with legal, security, and global data governance teams.
• Ensure compliance with GDPR and other regional data privacy and regulatory requirements across all EMEA data assets and pipelines.

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 across data engineering, analytics, or data science, within QSR, restaurant or hospitality industry.
• 3+ years of direct people leadership managing technical teams with proven ability to build, lead, and grow multi-disciplinary technical teams, including hiring, mentoring, and performance management.
• Substantial experience leading cross-functional product teams with a clear track record deploying tangible – value-add Analytics & data products.
• Deep, hands-on expertise in SQL, and cloud data warehousing; Snowflake and AWS experience are also required.
• Experience with AI/LLM enablement or GenAI tooling application in data & analytics workstreams.
• Strong data visualization skills (Tableau, Power BI, or similar) and the ability to translate complex analysis into clear recommendations.
• Experience with workflow orchestration (e.g., Airflow, Dagster), and modern data stack tooling (e.g., dbt, Terraform).
• Programming skills in Python and/or R, with experience applying statistical or machine learning techniques (forecasting, clustering, experimentation, etc.) a plus.
• Excellent communication and executive presentation skills; comfortable engaging a range of stakeholders across multiple markets and functions.
• Experience operating across multiple countries or markets, with awareness of data privacy regulation (GDPR) and cross-border data considerations.
• Relevant certifications (e.g., Snowflake SnowPro, AWS Certifications) are a plus.
• Fluency in English is required.