DESCRIPTION

AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we’re 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 we’re looking for talented people who want to help.
You’ll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You’ll 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 you’ll 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 organization’s 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 team’s 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. That’s where you come in…
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.
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, hasn’t followed a traditional path, or includes alternative experiences, don’t 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, there’s nothing we can’t achieve in the cloud.
Inclusive Team Culture
Here at AWS, it’s 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
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.

BASIC QUALIFICATIONS

• 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 QUALIFICATIONS

• 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 https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t 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 $98,700/year in our lowest geographic market up to $210,800/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 https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site

• 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 policie