Sr. Program Manager, AMZL Tech SME

Sr. Program Manager

Amazon Logistics (AMZL) Tech SME team is looking for a Sr. Program Manager within the Manager and Associate Experience space. The team partners directly with software teams to develop the future of AMZL and manage the delivery of tens of millions of products every week to Amazon's customers. The Tech SME team acts as a catalyst for change by driving innovation at the operator level, prioritizing technology initiatives and supporting engineering design innovations. Tech SMEs strive to be experts in Amazon's operation systems. They are accountable to delivering world class solutions through optimizing and reinventing the existing technology.

Key job responsibilities include :

• Working closely with the tech organization to document and drive upcoming changes, leveraging tools such as business requirement documents (BRDs) to ensure seamless integration with the existing system.
• Identifying areas of business risk and impact that could affect resource allocation and providing input on software design to support improved processes and standard work.
• Prioritizing software enhancements and feature requests submitted by the sites and serving as the interface with delivery stations to drive adoption of changes.
• Supporting process improvements, best practice sharing, and standardization across all Amazon Logistics processes, with a specific focus on enhancing the capabilities of the machine learning system.
• Providing metrics inputs that support compliance with standard work and drive improvements in cost and quality, ensuring that the system meets or exceeds industry standards.
• Analyzing existing SQL queries for performance improvements and making necessary adjustments to optimize the system's performance.
• Collaborating with counterparts in other functional areas (Safety, Quality, Learning) as well as the Operations Engineering team and Delivery Station (DS) teams to drive standardization and support network growth and scale, with an eye towards maximizing the effectiveness of the machine learning system.
• Providing regular, concise updates to Tech SME leadership on the progress of the system's development and its potential impact.
• Establishing target conditions for pain points within the delivery network and assessing the financial impact of these pain points, as part of an ongoing effort to improve the system's accuracy and effectiveness.
• Acting as the primary gatekeeper for change management processes in the assigned areas, ensuring that all changes are in line with the overall vision and strategy for the machine learning system.