At Amazon, data is critical to everything we do, from understanding product inventories across our global fulfillment centers to predicting what products to recommend to customers. Data ceaselessly informs our flywheel, helping us to understand customer needs, onboard new sellers and selection, and identify opportunities for cost savings. Business Data Technologies (BDT) provides trustworthy, intuitive, and cost-efficient solutions for Amazonians to secure, store, analyze, and transform this data at unparalleled scale. BDT owns, develops, and operates Andes, one of the largest data lakes in the world, storing more than 2 exabytes of data, read/written to by 100k+ data pipelines, with >60k monthly active users. To do this, we need extraordinary individuals to build the next generation of data analytics, machine learning, and AI solutions for thousands of scientists, engineers, and analysts who rely upon us to get their jobs done.
Enterprise Data & Catalog (EDC)'s vision is to provide unified data storage and catalog providing fine-grained access controls, and enriched, descriptive metadata across all Amazon data for all commonly used analytical formats and storage types, including multi-modal data for AI workloads. Our mission is to provide a common platform to make Amazon data easily discovered, explained, explored for lineage and relationships, securely exchanged, and enabled for compliance. We catalog the What, When, Why, Producer, Consumers, Lineage, relationships, and Trustworthiness of datasets across Amazon. With standard and stable data access contracts and fine-grain access control, we enable integration of Amazon and AWS data tools for easy, secure, and compliant access. Having a single augmented catalog for all Amazon, we bridge the gap between data lakes and answer key data governance questions. This platform empowers Amazon to drive business insights via analytics and machine learning.
We are seeking a Principal Product Mgr - Tech, to own the three year product vision, strategy, while also providing clear, iterative roadmaps for Enterprise Data & Catalog platform. They deliver results in collaboration with Engineering teams and Principal Engineers to create clean architectures that support coherent and intuitive user experiences Specifically, in this role you will be responsible for data platform, catalog, and metadata enrichment onboarding hundreds of datalakes at Exadata scale. As a PMT within the EDC organization, you will enable developing best of the breed storage and catalog supporting variety of storage formats for both analytical and multimodal data, flexible metadata for catalog and enrichment. The right person has deep technical knowledge especially in data technologies , a high levels of customer obsession, comfortable with a high-level of ambiguity, a strong demonstrated ability to build repeatable and scalable processes, and is an independent operator skilled at aligning resources and working cross-team to deliver to Amazon wide teams.
Key job responsibilities
1. Define and build a vision for the best of breed data and catalog technologies. This includes drafting documents that work backwards from our customers (PR-FAQ style) to describe key objectives, execution strategies, goals, and solutions. You will own annual and quarterly plans, feature requirements, resourcing asks, and more.
2. Partner with stakeholders to design and align on roadmaps and goals. You will define and maintain a prioritized backlog, working closely with the development teams to understand feasibility and technical approach for each item.
3. You will write feature requirements, review technical designs, and work across teams to craft disruptive solutions for complex problems.
4. Define and execute various strategies for collecting user research and customer feedback. You will leverage both quantitative and qualitative data to evaluate launch readiness and identify areas to improve.
5. You will evaluate technology trends to define a roadmap of features that delights our customers.
6. Build and executive a go-to-market strategy for new features
About the team
Enterprise Data & Catalog (EDC) in BDT provides unified data storage and catalog across Amazon providing fine-grained access controls, and enriched, descriptive metadata across all Amazon data for all commonly used analytical formats and storage types, including multi-modal data for AI workloads. We make Amazon data easily discovered, explained, explored for lineage and relationships, securely exchanged, and enabled for compliance. This platform empowers Amazon to drive business insights via analytics and artificial intelligence.
