Data Product Manager, ReCycle 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. The re:Cycle Reverse Logistics Amazon company supports this objective by providing critical ITAD services to AWS that maximize the life of assets that power the cloud and in doing so reducing Amazons carbon footprint. 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 organizations 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 re:Cycle Reverse Logistics 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...

- Experience as a data engineer or related specialty (e.g. software engineer business intelligence engineer data scientist) with a track record of manipulating processing and extracting value from large datasets
- Experience with one or more query language (e.g. SQL PL/SQL DDL MDX HiveQL SparkSQL Scala)
- Experience in program project or product management or leading product implementation
- Experience with Microsoft Office tools
- Bachelors degree in Data Science Computer Science Information Systems or related with 2 years of experience or 4 additional years of related experience in lieu of a degree

- Experience in data warehouse technical architectures data modeling infrastructure components ETL/ ELT and reporting/analytic tools and environments data structures and hands-on SQL coding
- Experience with data visualization using Tableau Quicksight or similar tools
- Experience that includes strong analytical skills attention to detail and effective communication abilities
- Experience in written and verbal communication skills to communicate with technical and non-technical audiences including senior leadership
- Experience working with and managing third party vendors
- Experience planning and developing end-to-end systems data architecture and/or reporting solutions

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