Amazon · 4 months ago
Data Product Manager, Re:Cycle Reverse Logistics
Amazon is a leading cloud platform provider, and they are seeking a Data Product Manager to enhance and improve data captured from warehouse management and inventory allocation systems. The role involves collaborating with various stakeholders to define reporting capabilities, managing data validations, and ensuring accurate data reporting across the organization.
Artificial Intelligence (AI)DeliveryE-CommerceFoundational AIRetail
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
Qualification
Required
2+ years of data enablement, data engineering, data management, or related experience in a warehousing, supply chain, manufacturing, or reverse logistics environment
Bachelor's 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.)
Preferred
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
Benefits
Equity
Sign-on payments
Full range of medical, financial, and/or other benefits
Company
Amazon
Amazon is a tech firm with a focus on e-commerce, cloud computing, digital streaming, and artificial intelligence.
H1B Sponsorship
Amazon has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (22803)
2024 (21175)
2023 (19057)
2022 (24088)
2021 (12233)
2020 (14881)
Funding
Current Stage
Public CompanyTotal Funding
$8.11BKey Investors
AmazonKleiner Perkins
2023-01-03Post Ipo Debt· $8B
2001-07-24Post Ipo Equity· $100M
1997-05-15IPO
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