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Uber Eats is revolutionizing instant delivery and making dining effortless: from eating locally to ordering groceries or to celebrate with a bottle of wine. The options are endless! Working at Uber Eats means delivering on all possibilities, not just for customers, but for merchants trying to grow their business and for delivery people searching for earnings opportunities. As the Director of Consumer Central Operations for Delivery in EMEA, you aren’t just overseeing a playbook; you are writing the strategy for one of our most complex and high-stakes mega-regions. This is a leadership role that requires setting direction in motion, not waiting for perfect conditions. You will lead a high-performing team responsible for the end-to-end consumer lifecycle—attracting, retaining, and growing millions of users across a diverse landscape of markets and competitors. You will own the tension between global scalability and local relevance, making hard calls under pressure and carrying the weight of decisions that move the needle for the entire EMEA Delivery business. You will work closely across functional teams and drive alignment through the entire organization, including Product, Engineering, and Customer Support. The ideal candidate will be a strategic problem solver, an authority at stakeholder engagement, and an experienced people leader who thrives in the face of ambiguity and high-stakes challenges.
Job Responsibility
Architect the Consumer Vision
Navigate Ambiguity
Lead the AI/ML Transformation
Scale Through Data Excellence
Lead Through Influence
Build Strong, High-Performing Teams
Drive XLOB Innovation
Champion Change
Requirements
13+ years of experience operating in operations, strategy, or consumer growth within high-growth environments
5+ years of experience managing people managers and leading high-performing, technical teams
Proven experience managing large-scale budgets or P&L responsibilities where you transitioned spend from broad discounts to high-ROI, ML-driven targeting
Combination of experience working in complex matrix organizations and fast-moving smaller ventures
Nice to have
Ability to 'speak the language' of Data Science and Engineering
experience auditing or defining requirements for ML-driven consumer engines
Deep expertise in modern LTV approaches, including advanced cohort modeling and predictive retention
Experience using privacy-aware data (Clean Rooms, IDFA workarounds) to drive personalized consumer experiences
A track record of driving 'Cross-Line-of-Business' (XLOB) integration and influencing senior stakeholders without direct authority