Amazon - Program Manager - Last Mile Analytics & Quality Maps Team (2-8 yrs)

Do you want to be a part of a team where your ideas have the potential to reach millions.

Amazon's Last Mile Analytics & Quality Maps team is building geospatial infrastructure to power the Last Mile delivery network that will deliver packages to hundreds of millions of customers around the world. The Amazon Maps Data team builds systems that model the real world to enable routing for drivers. The GIS team works cross-functionally to seamlessly curate and enhance last mile delivery network and geospatial data quality. Our team is seeking a passionate and data-driven GIS Program Manager to lead our efforts in enhancing driver experience and operational efficiency through advanced spatial analysis.

The ideal candidate has a background of GIS expertise, logistics understanding, project management skills, and a strong customer-centric approach to drive improvements in last-mile delivery. This job will require strong communication skills while having the ability to work independently in a high pressure, and often ambiguous, work environment. Passion and drive for customer service is a must. The candidate must be able to accurately prioritize projects, make sound judgments, work to improve the customer experience, and get the right things done.

Key job responsibilities

- Program manage GIS-based solutions for last-mile delivery challenges, through problem identification, scoping, creating and delivering long-term solutions, cross collaborating with technology, product, program, business, and operations teams.

- Serve as a subject matter expert in GIS applications and Geospatial (or spatial) analysis, spatial data visualization to various teams like technology, product, program, business, and operations.

- Develop and implement strategies for continuous map updates and improvements based on driver feedback, delivery data, and emerging GIS technologies.

- Coordinate cross-functional projects to standardize GIS procedures and eliminate root causes for map data inaccuracies within current systems.

- Extract valuable insights from spatial and non-spatial data sets using GIS tools and techniques

- Support Map data evaluations and quality assessment through insight sharing