Strategic Programs Lead

Uber Uber · Consumer · Tokyo, Japan · Community Operations

This role is a Strategic Programs Lead within Uber's APAC Delivery Community Operations team. The primary focus is on leading high-priority strategic programs, designing and governing operational frameworks, and influencing the technology roadmap. While the role involves working with AI-driven tools and understanding AI adoption, its core function is program and stakeholder management, not direct AI/ML development or research.

What you'd actually do

  1. Cross-regional program management: Own and deliver complex, high-stakes regional programs, such as the North Asia Footprint Efficiency initiative (including AI-driven tools) and specialized support models impacting courier earnings.
  2. Thought-partner to market leaders: Serve as a short-term deep-dive expert for market-level teams, solving ambiguous problems that require both a high level strategic view, and operational feasibility analysis.
  3. Strategic planning & Scorecards: Own the build and tracking of regional scorecards and OKRs, ensuring that local market performance is visible and aligned with global financial and operational targets.
  4. Tech advocacy & roadmap influence: Fluency in tech and product details, and act as the tech advocate for APAC, across all our markets and personas. You will provide directional input into global tech plans, and build regional business requirement cases to ensure APAC's unique market and tech needs are prioritized on the global roadmap.
  5. Regional operational ownership: Lead the end-to-end execution of the APAC "Strategic Rhythm," including the facilitation of MBRs, QBRs, and team Town Halls.

Skills

Required

  • Strategy
  • Program Management
  • Product Operations
  • Strategic Operations
  • Structured problem solving
  • Data competency
  • Stakeholder management
  • Operational governance
  • Business planning processes
  • Regional operating rhythms
  • Performance scorecards

Nice to have

  • Partnering with Product and Engineering teams
  • External tech landscape understanding
  • SQL
  • Data visualization tools (e.g., Tableau, Looker)
  • Cross-border programs

What the JD emphasized

  • AI-driven tools
  • AI-adoption (LLMs)
  • automated translation tools
  • structured technical requirements