Marketing Technology Manager II, Data Solutions

Marketing Technology Manager II, Data Solutions Department: Engineering Team: Engineering Location: San Francisco, United States Type: Full-Time **About the Role** At Uber, we ignite opportunity by setting the world in motion. The Data Solutions team within Performance Marketing is looking for an inventive, passionate and technical Marketing Technology Manager II to help support and grow our business. In this role, you’ll blend technical execution, marketing understanding, and operational excellence. You’ll own projects end-to-end and support larger initiatives, building and improving data pipelines, automating workflows, strengthening observability, and enabling marketers with scalable systems. You’ll partner closely with AdTech, Data Science, Product, and Engineering to improve the reliability and impact of Uber’s performance marketing ecosystem. This is a hands-on role for someone equally comfortable writing SQL, managing technical configurations, debugging data feeds, collaborating with engineering, and guiding marketers toward data-driven solutions. You’ll help define how data flows across platforms, ensuring campaigns are powered by accurate, timely, and actionable data. You’ll also be a thought leader to our stakeholders, acting as a subject matter expert of our data ecosystem and nuances, bridging technical knowledge gaps, and driving Single-Source-of-Truth reporting on data issues. **What You'll Do** 1. **Lead data solutions projects end-to-end:** Scope, plan, execute, and deliver measurable outcomes, while supporting large-scale initiatives with senior partners. 2. **Architect and improve data pipelines:** Design, validate, manage, and enhance ingestion and sharing flows across internal and external systems (APIs, warehouses, tracking platforms). 3. **Operationalize reliability and observability:** Define standards for monitoring, alerting, documentation, and service ownership; improve uptime and error transparency across pipelines. 4. **Automate and scale operations:** Build tooling (scripts, dashboards, utilities) to reduce manual work, standardize validation, and increase visibility across