Manager, Strategy & Planning, Uber Advertising

Uber Uber · Consumer · New York, NY +2 · Operations

Manager, Strategy & Planning for Uber Advertising, focusing on developing scalable data systems, defining data standards, and building tools for decision-making. This role involves partnering with cross-functional teams to ensure accurate business reviews and support the growth of Uber's advertising business. It requires a blend of analytics, business strategy, and data engineering to translate complex datasets into impactful insights and scalable solutions.

What you'd actually do

  1. Create and maintain dashboards, reports, and analytical tools that support monthly and quarterly business reviews (MBRs/QBRs) as well as other critical operational workflows
  2. Establish and enforce data definitions, KPIs, and governance practices to ensure accuracy, consistency, and trust across the ad org
  3. Partner with engineering and analytics teams to design systems that enable efficient data ingestion, transformation, and accessibility for the business
  4. Develop frameworks, documentation, and training to increase data literacy across the advertising organization
  5. Collaborate with strategy leaders to align data insights with business goals, investment decisions, and go-to-market strategies
  6. Identify and execute on opportunities to automate reporting and analysis workflows, freeing teams to focus on strategic decision-making

Skills

Required

  • SQL
  • Data visualization tools (Looker, Tableau, Power BI)
  • Data modeling
  • ETL processes
  • Cloud-based data warehouses (BigQuery, Snowflake)
  • Business KPIs
  • Translate business needs into technical requirements
  • Project management

Nice to have

  • Advertising technology
  • Media
  • Marketplace businesses
  • Building scalable, self-service data systems for non-technical stakeholders
  • Communication skills
  • Influence cross-functional partners

What the JD emphasized

  • 6+ years of experience in analytics, data product management, or business strategy
  • Proficiency in SQL and at least one data visualization tool (Looker, Tableau, Power BI, etc.)
  • Experience with data modeling, ETL processes, and cloud-based data warehouses (e.g., BigQuery, Snowflake)
  • Strong understanding of business KPIs and ability to translate business needs into technical requirements
  • Strong project management skills with the ability to manage multiple priorities
  • Bachelor’s degree in Business, Data Science, Statistics, Economics, Computer Science, or a related field (or equivalent work experience)