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Job Description
Data Manager, Compliance & Data Integrity
Amazon is seeking a passionate and motivated Data Manager to join the Enterprise Data Governance & Standards (EDG&S) team within Compliance & Data Integrity (CDI), transforming Global Operations Support Services (GOSS) from reactive data reconciliation to proactive data governance. In this role, you will own a critical entity domain (Sites, Suppliers, Assets, Employees, or Contracts) and be accountable for defining what good data looks like, establishing validation standards, and ensuring data across the real estate lifecycle is governed, AI-ready, and trusted.
You will define golden attributes and source-of-truth designations, author validation rule specifications, accept/reject Tech implementations against spec compliance, and run structured feedback loops with stakeholders to continuously refine standards. This role requires a combination of domain expertise, stakeholder management, and accountability to drive measurable data quality improvements that enable leadership to make critical decisions grounded in reliable, complete, and verified data.
The role will include occasional travel up to 20%.
Key job responsibilities
- Own entity domain accountability for Sites, Suppliers, Assets, Employees, or Contracts including golden attribute definitions and source-of-truth designations
- Author and maintain validation rule specifications that enforce data quality standards across GOSS applications
- Accept/reject GOSS Tech implementations based on spec compliance, holding decision authority on deliverable acceptance
- Run structured feedback loops with application owners, data consumers, and cross-functional stakeholders to refine rules and attribute definitions
- Coordinate weekly with GOSS Tech on validation rule handoffs, implementation status, and technical blockers
- Participate in bi-weekly Governance Council cadences, representing your entity domain with decision authority
- Interface with ACES on adoption and training strategies to drive behavioral change across GOSS verticals
- Negotiate with application owners on standards compliance and escalate blockers through appropriate channels
- Track entity health across four data quality dimensions (Accuracy, Completeness, Timeliness, Consistency)
- Support federated governance transfer by assessing domain owner readiness and executing stewardship handoffs
A day in the life
A typical day involves defining data standards, collaborating with technical teams on implementation, and ensuring data quality across various domains. You will be instrumental in transforming data management practices from reactive to proactive governance.
Amazon Benefits
Amazon offers a full range of benefits that support you and eligible family members, including domestic partners and their children. Benefits can vary by location, the number of regularly scheduled hours you work, length of employment, and job status such as seasonal or temporary employment. The benefits that generally apply to regular, full-time employees include:
- Medical, Dental, and Vision Coverage
- Maternity and Parental Leave Options
- Paid Time Off (PTO)
- 401(k) Plan
If you are not sure that every qualification on the list above describes you exactly, we'd still love to hear from you! At Amazon, we value people with unique backgrounds, experiences, and skill sets. If you’re passionate about this role and want to make an impact on a global scale, please apply!
About The Team
EDG&S defines what good operational data looks like, builds the federated governance framework that maintains it, and ensures that data across the Real Estate lifecycle is AI ready and trusted.
Key skills/competency
- Data Governance
- Data Quality
- Stakeholder Management
- Compliance
- Data Management
- Program Management
- Rule Specifications
- Entity Domains
- Data Standards
- Cross-functional Projects
How to Get Hired at Amazon
- Customize your resume: Highlight experience in data governance, data quality, and stakeholder management. Quantify achievements related to data improvements.
- Tailor your application: Address specific Amazon values and how your skills align with the Data Manager role, emphasizing compliance and data integrity.
- Prepare for interviews: Be ready to discuss your experience with defining data standards, managing cross-functional projects, and handling technical implementations.
- Showcase problem-solving: Use the STAR method to demonstrate how you've solved complex data challenges and driven measurable results.
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