Director, Head of Consumer, Central Operations, Delivery Emea

Uber Uber · Consumer · Amsterdam, Netherlands · Operations

Director, Head of Consumer, Central Operations for Delivery in EMEA. This role involves defining and leading the consumer strategy, managing P&L and budgets, and leveraging predictive modeling and Agentic AI for cohort-based strategies. It also requires evolving analytical depth for churn prediction and influencing Product and Engineering teams. The role focuses on scaling through data excellence and driving cross-line-of-business innovation.

What you'd actually do

  1. Architect the Consumer Vision: Define and lead the overarching consumer strategy for EMEA Delivery, identifying new user pools and growth levers across a highly fragmented competitive landscape.
  2. Navigate Ambiguity: Own the regional consumer P&L and incentive budgets, making disciplined trade-offs between short-term growth and long-term sustainability in an environment where priorities shift fast.
  3. Lead the AI/ML Transformation: Act as the technical North Star for consumer ops; use predictive modeling and Agentic AI to move beyond "blended averages" to granular, cohort-based strategies.
  4. Scale Through Data Excellence: Evolve the team’s analytical depth from basic reporting to sophisticated cohort analysis that identifies "frustration signals" and proactively addresses churn.
  5. Lead Through Influence: Build and sustain strategic relationships with Product, Engineering, Marketing, and Country GMs to ensure our tech roadmap and local operations are obsessed with the EMEA consumer experience.

Skills

Required

  • 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.

What the JD emphasized

  • ML-driven targeting
  • Agentic AI
  • predictive modeling

Other signals

  • AI/ML Transformation
  • predictive modeling
  • Agentic AI
  • sophisticated cohort analysis
  • ML-driven targeting