We're seeking an exceptional Senior Technical Program Manager to join Amazon's ShipTech Analytics (STA) team - the central data and analytics hub powering Amazon's global transportation network. You'll drive high-impact programs that directly influence the success of Amazon's worldwide transportation operations through our flagship platforms - PerfectMile, Mercury, and Transportation Data Platform (TDP). In this role, you'll leverage data-driven insights to enable faster, more efficient, and cost-effective delivery experiences from order to return.
Key job responsibilities
As a Sr TPM, you'll:
Partner with leadership across multiple organizations to define strategy, align priorities, and deliver results that scale across Amazon's transportation network
About the team
The ShipTech Analytics (STA) team is at the forefront of revolutionizing Amazon's transportation operations through data-driven solutions. We own and maintain mission-critical platforms like PerfectMile, Mercury, and Transportation Data Platform that serve 70K+ unique users worldwide.
Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice (https://www.amazon.jobs/en/privacy_page) to know more about how we collect, use and transfer the personal data of our candidates.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
Read Full Description