Data Product Manager, Re:Cycle Reverse Logistics
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Location: Dublin, County Dublin, Ireland
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.
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.
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
Basic Qualifications
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
Preferred Qualifications
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
Experience with data visualization using Tableau, Quicksight, or similar tools
Experience that includes strong analytical skills, attention to detail, and effective communication abilities
Experience in written and verbal communication skills to communicate with technical and non-technical audiences, including senior leadership
Experience working with and managing third party vendors
Experience planning and developing end-to-end systems data architecture and/or reporting solutions
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