AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we’re the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain — and we’re looking for talented people who want to help.

You’ll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You’ll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you’ll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion.

Amazon Web Services (AWS) provides a highly reliable, scalable, and low-cost cloud platform that powers thousands of businesses in over 190 countries. AWS’ Infrastructure Services Supply Chain (AIS-SC) organization works to deliver cutting-edge solutions to source, build and maintain our socially responsible data center supply chains. We are a team of highly-motivated, engaged, and responsive professionals who enable the core sustainable infrastructure of AWS. Come join our team and be a part of history as we deliver results for the largest cloud services company on Earth!

AIS Supply Chain team is looking for a highly talented and technical, Supply Chain Product Manager to help develop our Foundational Data for Spares supply chain and drive the development of automated tools and their execution to support AWS growth. This role includes writing requirements, prioritizing necessary tech work, quantifying and prioritizing improvement opportunities, and driving performance to meet all spares requirements. This person will partner and work closely with Engineering teams, Commodity Managers, Vendors, Spares Planning (Demand & Supply), Fulfillment team, IT and Finance. The successful candidate will create, develop, prioritize, and drive solutions that align to the end state strategy of the Spares Life Cycle & Foundational Data Management.

Key job responsibilities
The primary responsibilities include, but are not limited to:
Work with Supply Chain, Engineering (Hardware/Network), commodity managers, Vendors, and other supporting functions in order to accurately structure spare part attributes for new products and document product changes as part of the product life cycle management.
Build relationships and drive engagement with internal customers , partners and suppliers to capture Master Data for spares accurately and timely throughout spares lifecycle from New Product Introduction to end of usage.
Drive timely part setup, BOM changes to support new product introduction (NPI) as well as sustaining business
Be an advocate of Spares Product Lifecycle Management best practices, methods, and processes
Provide clear input to the team on schedule, issues, and deliverables related to spares data management
Participate in continuous process improvements focused on systems, reporting, and data analysis efficiencies
Hold partner teams accountable for providing timely and accurate information for Master Data
Produce written recommendations and insights to help shape solution/mechanisms.
Handle multiple projects at once, deal with ambiguity and rapidly-changing priorities.

About the team
Diverse Experiences
Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.
Work/Life Balance
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.
Inclusive Team Culture
Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.
Mentorship and Career Growth
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
. Bachelor’s Degree in Business, Engineering, Operations, Supply Chain, Transportation, Logistics, or related field
. 4+ years’ experience in program management, logistics, operations, supply chain, or transportation
. Experience leading and owning cross-functional programs, or 2+ years of experience with advanced related degree
. 2+ years’ experience in Master Data Management Experience owning the design, implementation, and optimization of initiatives
. 2+ years of experience using Microsoft Excel advanced features (such as including pivot tables, macros, index/match, vlookup, VBA, data links) and analytical tools such as SQL, Tableau, or Microsoft Access. MBA/MS
. Experience in Technology or engineering environments.
. Demonstrated ability working in an ambiguous environment
. Experience handling changing priorities and using good judgment when working in stressful situations
. Demonstrated understanding of BOM hierarchy, including hardware and software components.
. Demonstrated knowledge of product lifecycle management applications such as Agile, or comparable PLM tools.
. Team player with excellent written and verbal communication skills and the ability to work with diverse internal and external customer groups.
. Demonstrated thorough technical knowledge on effective exploratory data analysis.

Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $71,500/year in our lowest geographic market up to $153,000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.