# Data Steward, Re:Cycle Reverse Logistics at Amazon

AI Level 1, AI centrality 35 out of 100. IE, Dublin.

## Details

- Company: [Amazon](https://jobsbylevel.com/companies/amazon)
- AI level: AI Level 1 (score 35 out of 100)
- Location: IE, Dublin
- Posted: October 7, 2026
- Apply: https://jobsbylevel.com/go/4414d177-4767-4feb-8057-34a4ee947f6d

## Description

The re:Cycle Reverse Logistics Operations team offers worldwide cloud computing providers with a centralized means to disassemble, sort, function test, in-warranty return, repair, erase/wipe, and disposition server and networking assets that break or are no longer needed in the fleet. The team is seeking a detail-oriented, analytical, and self-driven Data Steward to support its global operations by driving and working collaboratively across teams to maintain data consistency and accuracy, and by generating and driving data-related performance metrics in the organization’s warehouse management system. This scope will ensure data reliability for the organization’s three operating systems, driven by 400+ global users through our four global facilities that are generating millions of transactions per month across 70+ data tables. This role is critical to the re:Cycle Reverse Logsitics system-management team that is responsible for maintaining application security, data, and compliance, and plays a key role in enabling global operations with reliable information needed to align on daily, monthly, and annual plans, and tracking operational performance to plan. Auditing and analyzing the system’s data (both extracted and in-application), repairing inaccurate data, working across the organization and 3P service provider to root cause and repair recurring data issues, analyzing and prioritizing data "bugs" for resolution, supporting data change management initiatives, and generating/driving data-related performance metrics for leadership presentation are all in a day’s work for the reverse logistics Data Steward. Key job responsibilities Own accuracy, consistency, and completeness of source of truth data across the organization's warehouse management systems Design and maintain recurring SQL based audit mechanisms that validate data accuracy between source systems and the downstream data warehouse Root cause data discrepancies, triage and prioritize incidents by business impact, and drive resolution through the system's 3P service provider and internal engineering Define and track data quality health metrics; develop scorecards and system health reports for stakeholders and QBRs Develop, formalize, and communicate data standards, policies, and governance strategies; prove compliance against those policies Identify reporting gaps between source and downstream systems; collaborate with data engineering to influence architecture, automate risk identification, and enable new system data Validate data accuracy in staging environments ahead of production release in collaboration with Vendor Product Managers A day in the life About AWS Diverse Experiences AWS 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. Why AWS? Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Inclusive Team Culture AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do. Mentorship & 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. Work/Life

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Source: https://jobsbylevel.com/jobs/data-steward-re-cycle-reverse-logistics-at-amazon-26a643

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