Amazon is building the largest EV fleet and EV charging network in the world as part of our Climate Pledge. The GFP Electrification & Infrastructure (E&I) team is responsible for accelerating Amazon's Last Mile electrification and facilitating the successful transition of our delivery fleet to achieve net zero-emissions in support of The Climate Pledge. This role sits on the planning and data systems team within GFP E&I with a mission to install the right chargers at the right place and at the right time to enable the most cost optimized solution to electrification. Our team builds the science and data tools necessary to support electrification.
We are seeking an outgoing, positive, passionate, talented, and innovative Principal Technical Program Manager (TPM) with a passion for building enterprise data solutions and infrastructure components that are highly scalable, extensible, and robust. In this pivotal role, you will shape the vision, roadmap, and execution of the Data Strategy, focusing on Data as a Product and enabling data producers and consumers within engineering, analytics, and science teams across four large organizations. You’ll need to be familiar with AWS services (Glue, EMR, DataZone, S3, Lambda, Redshift, QuickSight, SageMaker, etc.), third-party tools, and be able to drive best practices with continuous improvement and development.
Travel is required, up to 25%.
Key job responsibilities
Your will lead Data as a Product across GFP E&I, driving adoption through quality data, governance, security, technology needs, and trusted single source of truth metric reporting for business and customer metrics that drive World Wide Ops' success. You will also drive the strategy for critical program support initiatives, ensuring stakeholders, engineering teams, and customers are building trustworthy solutions for business-critical decision-making.
In this role, you will work closely with stakeholders, Data Engineers, BI Engineers, Data/Applied Science, and Machine Learning Engineers, partnering with cross-functional product teams to deliver high-quality, scalable data products. You will assess risks, anticipate bottlenecks, provide escalation management, make tradeoffs, and balance business needs versus technical constraints. You will know when to set up temporary solutions to data challenges (and its accompanying processes and audits) and how to navigate the temporary solution to the long term solve. Successful candidates will have a technical background, be detail-driven, and possess excellent problem-solving abilities.
