Data Product Manager, Re:Cycle Reverse Logistics

AWS Infrastructure Services owns the design planning delivery and operation of all AWS global other words were 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 were looking for talented people who want to help.

Youll join a diverse team of software hardware and network engineers supply chain specialists security experts operations managers and other vital roles. Youll 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 youll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion.

The Operations Integration team is seeking a detail-oriented forward-thinking and self-driven Data Product Manager that will support the organization by enabling and continuously improving the data that is captured and extracted from the organizations warehouse management and inventory allocation systems that act as the source of truth for financial environmental sustainability regulatory and operational reporting.

Activities that drive this role include 1) defining requirements documenting and driving alignment/approval between software and data engineers product managers data analysts and business stakeholders (e.g. operations environmental legal) for new feature or updated reporting capabilities 2) coordinating between engineering resources to drive prioritization development and implementation for new reporting mechanisms 3) conducting data validations and performing user acceptance testing for new reporting mechanisms under development driving and documenting iterative improvements through implementation 4) preparing and driving training events to prepare stakeholders for new reporting capabilities 5) conducting post-implementation data validations to ensure final product accuracy before product hand-off to Data Steward 6) developing and maintaining organization data table libraries and policies and 7) facilitating data migrations as-needed to retrofit old reporting with new standards.

This role will frequently interface with the teams 3P software provider to accomplish these tasks throughout pre-planned Agile sprint cycles releasing new reporting capabilities to production almost every sprint! This role is critical then to the organization in that it ensures that the business can tell its stories (currently supported by 70 data tables capturing millions of transactions per month 15 manual extracts and two in-application search engines) and that the broader team knows how to read/interpret them as the business grows over time.

Key job responsibilities
Collaborating closely with data consumers and stakeholders across the organization and service providers to define and drive alignment for new/updated reporting capabilities
Developing supporting documents (e.g. data flow diagrams sample data files schemas business requirement documents) that specify design features and logic as well as un/happy path expectations to drive feature development
Preparing positive and negative new feature test scenarios and facilitating acceptance testing to ensure new feature quality in test environments documenting acceptance test KPIs to drive internal metrics
Planning and executing stakeholder training events to ensure successful rollout and adoption upon implementation
Conducting post-launch validations and refinement (as needed) to ensure final product accuracy and drive last-mile adoption
Managing ticket queues prioritization and tradeoffs for strategic data developments ensuring stakeholders are always synchronized in developing the next big thing
Conduct regular data warehouse and organizational reporting research present findings to identify areas to continuously improve reporting capabilities
Executing data migration/update strategies to transition between previous and new reporting solutions
Maintaining data warehouse/library resources and policies

About the team
Re:Cycle Reverse Logistics offers worldwide cloud providers a means to disassemble sort test in-warranty return repair/refurbish erase/wipe and disposition server and networking assets that break or are no longer needed. The organization depends on the Operations Integration team to maintain improve and develop new features in their warehouse management and inventory allocation systems that processes and monitors these assets from arrival to departure (and sometimes sales) across five global facilities ensuring reliable and repeatable operational and asset safety security traceability business value and productivity are supported and reported through joint systems. Thats where you come in...

*Why AWS*
Amazon Web Services (AWS) is the worlds most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating thats why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.

*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 hasnt followed a traditional path or includes alternative experiences dont 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 theres nothing we cant achieve in the cloud.

*Inclusive Team Culture*
Here at AWS its 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*
Were continuously raising our performance bar as we strive to become Earths Best Employer. Thats why youll find endless knowledge-sharing mentorship and other career-advancing resources here to help you develop into a better-rounded professional.

2 years of data enablement data engineering data management or related experience in a warehousing supply chain manufacturing or reverse logistics environment
Bachelors degree in Data Science Computer Science Information Systems or related or 4 additional years of related experience in lieu of a degree
2 years with one or more query language (e.g. SQL PL/SQL DDL MDX HiveQL)
2 years using Microsoft Office tools (Excel Word etc.)


Experience planning and developing end-to-end systems data architecture and/or reporting solutions
Experience with data modeling warehousing and/or building ETL pipelines using AWS cloud tools
Experience using data visualization tools (Tableau Quicksite etc.) in developing insightful dashboards to share data with a variety of stakeholders
Strong analytical and problem-solving capabilities with a keen eye for details
Strong verbal and written communication skills to translate complex problems and design solutions using non-technical terms
Experience managing a 3rd party vendor

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status disability or other legally protected status.

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 for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $98700/year in our lowest geographic market up to $210800/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 This position will remain posted until filled. Applicants should apply via our internal or external career site.