At Uber, we ignite opportunity by setting the world in motion. We take on big problems to help drivers, riders, delivery partners, and eaters get moving in more than 600 cities around the world.
We welcome people from all backgrounds who seek the opportunity to help build a future where everyone and everything can move independently. If you have the curiosity, passion, and collaborative spirit, work with us, and let’s move the world forward, together.
About the Role
This PM will lead the strategy, execution, and development of these pipelines working closely with our Data Science, Analytics, Operations, and Engineering teams.
The areas which will be covered under this role will include any core product requirements, strategy, and development work for:
Safety and Insurance Data:
Insurance Data (including Claims, Reserving, Pricing and FinOps, reporting)
Safety Data (Including incidents data, IMU data)
Create standard practice and a product to create, monitor, alert and diagnose S&I ML products.
Build a product versioning and experimentation framework: A standard framework to measure impact of new product roll out with version history and automated experimentation analytics. (Ex: funnel analysis, growth analysis similar to Marketplace.)
Data on funnel and growth of newly launched products from both safety and insurance teams
Drive standardization on mobile events and how that integrates with the consistent product analytics strategy
What You'll Do
Gather requirements and manage resource allocation for key cross-team products that manage the lifecycle of data across Safety & Insurance.
Drive execution working closely with data science, analytics, engineering, and operations to ensure a robust data platform.
Stakeholder engagement, including prioritizing data products and roadmap as well as developing high quality data documentation, standardize access management, identifying and managing users and access, and communicating product changes.
Customer-centricity - you have many examples from your past of tough product issues that you persevered through to ensure customer satisfaction.
Managing product and business programs across a large organization and a track record of shipping complex enterprise grade products at scale.
What You'll Need
Technical proficiency: We don’t need you to code, but you should be able to understand it and be able to communicate what’s needed to our engineering team.
General understanding of big data ecosystem (HDFS, Hive, Kafka, Spark, Presto, data warehousing solutions, in-memory databases, data modeling, ETL and Visualization) and proven experience creating products utilizing big data.
High level understanding of data modeling, data infrastructure, statistics and machine learning
A computer science undergraduate degree or equivalent OR hands-on software engineering experience is preferred.
At least 2 years experience leading product teams that delivered solutions/products related to data infrastructure at scale
A personality that encourages action, great collaboration and excellent simplification for communication.
You never hesitate to roll up your sleeves and address something hands-on.
About the Team
Data volumes at Uber are growing exponentially. Uber’s business relies heavily on these rich datasets to gain deep insights and to make real-time business decisions. Analytics at Uber power critical applications like dynamic pricing, UberEATS delivery estimates, fraud detection, maps creation, driver activation, and many others. Data is critical to success of multiple products within Safety & Insurance. There is a need to build data infrastructure to capture, aggregate, store, audit, and enrich safety and insurance data.
At Uber we don’t just accept difference—we celebrate it, we support it, and we thrive on it for the benefit of our employees, our products and our community. Uber is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.