Data Product Manager, Amazon

• The re:Cycle Reverse Logistics Operations Integration team is seeking a detail-oriented, forward-thinking, and self-driven Data Product Manager
• 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
• Bachelor’s 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

Desirable

• 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
• 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 Amazon's carbon footprint
• 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 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 you’ll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion
• This role 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
• 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
• Coordinating between engineering resources to drive prioritization, development, and implementation for new reporting mechanisms
• Conducting data validations and performing user acceptance testing for new reporting mechanisms under development, driving and documenting iterative improvements through implementation
• Preparing and driving training events to prepare stakeholders for new reporting capabilities
• Conducting post-implementation data validations to ensure final product accuracy before product hand-off to Data Steward,
• Developing and maintaining organization data table libraries and policies
• 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
• You'll be 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