Have you ever ordered a product on Amazon and when that box with the smile arrived you wondered how it got to you so fast? Have you wondered where it came from and how much it cost Amazon to deliver it to you? If so, the WW Amazon Logistics (AMZL) Tech SME team is for you. We partner 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.
The Tech SME organization are functional experts on the software tools in given process areas and their application in the AMZL network. A successful manager in this organization has strong program management experience to define the process the team uses to deliver best in class tech to the field. This team looks for ways to automate human decision making by influencing Technology to build and update tools that reduce process complexity to deliver robust processes.
Amazon is seeking a Sr. Program Manager within the Manager and Associate Experience space to work within Amazon Logistics (AMZL).
**Travel approximately 25% to covering WorldWide.
Key job responsibilities
Work 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.
Identify areas of business risk and impact that could affect resource allocation and provide input on software design to support improved processes and standard work.
Prioritize software enhancements and feature requests submitted by the sites and serve as the interface with delivery stations to drive adoption of changes.
Support 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.
Provide metrics inputs that support compliance with standard work and drive improvements in cost and quality, ensuring that the system meets or exceeds industry standards.
Analyze existing SQL queries for performance improvements and make necessary adjustments to optimize the system’s performance.
Collaborate 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.
Provide regular, concise updates to Tech SME leadership on the progress of the system’s development and its potential impact.
Establish target conditions for pain points within the delivery network and assess the financial impact of these pain points, as part of an ongoing effort to improve the system’s accuracy and effectiveness.
Act 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.
About the team
The Tech SMEs work across technology and operations teams on the prioritization, development, optimization, and sustainment of the technology and related process in order to positively impact customer experience while supporting business growth.
We are open to hiring candidates to work out of one of the following locations:
Clichy, FRA
BASIC QUALIFICATIONS
A bachelor’s or master’s degree in computer science, engineering, mathematics, or a related field.
Experience managing tasks with statistical, financial, strategic and operational analysis and modeling involving large data sets to support and improve business operations; implement best practices; and conduct cost benefit analysis.
Strong analytical skills and the ability to develop and interpret complex algorithms and models.
Excellent communication skills, with the ability to effectively collaborate with stakeholders from various departments and communicate technical concepts to non-technical audiences.
Experience working in a fast-paced, results-oriented environment, with the ability to manage multiple projects simultaneously and prioritize tasks effectively.
A strong commitment to continuous learning and a passion for staying up-to-date with the latest developments in machine learning and artificial intelligence.
Knowledge of the logistics industry and the ability to apply machine learning principles to address real-world challenges in this field would be a plus.
PREFERRED QUALIFICATIONS
– MBA or Master’s Degree in Engineering, Operations, or a related field
– Proficiency in programming languages such as Python, R, and SQL, as well as experience working with machine learning frameworks and libraries such as TensorFlow, PyTorch, and Scikit-learn.
– Strong quantitative and qualitative analytical skills paired with hands-on attitude, excellent attention to detail, and good business judgment
– Extensive experience working in machine learning, artificial intelligence, or data science, with a proven track record of successfully developing and deploying machine learning systems.
– Demonstrated bias for action and an ability to deal with ambiguity. Proven ability to influence others without having positional authority
– Experience working with Software Development Engineers to develop technical solutions to operational problems
– Strong project management and organizational skills, experience working on complex initiatives with cross-functional teams in a dynamic environment
– Ability to handle changing priorities and use good judgment in stressful situations
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