Amazon Data Analytics Jobs (NOW HIRING)

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 3+ 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.
The BDT-AI4ME organization works bring AI-centric methodologies and automations to Amazon organizations needing to connect their business teams and objectives with their data teams and architectures. The BDT-AI4ME organization seeks to lower the cognitive load needed to connect business to data through best of class agents and AI-ready metadata to allow anyone to access data to gain insights.
BDT Principal Product Managers - Tech (PMT) provide the three-year product visions and strategies for their ~50 person organizations, while also providing clear, iterative roadmaps to get there

They deliver results in collaboration with Engineering teams and Principal Engineers to create clean architectures that support coherent and intuitive user experiences. As a Principal Product Manager in the BDT-AI4ME organization, you understand ways that enterprises apply AI to solve business and technical problems. You understand the ways that Amazon's business teams work with their data teams, and you seek to reduce friction and error-proneness of those interactions by enhancing business processes and automations using AI.
Key job responsibilities
You focus on the data needs of business users and their user journeys from question to insight

You formulate a strategy for transforming the ways Amazon extracts value from its data through iterative improvements involving AI enablement, process optimization, role guidelines, and org design.
You work backwards from user needs, and leverage data such as service telemetry, user feedback, and industry trends to author PR/FAQs, 3-year strategies, roadmaps, launch announcements, and user documentation. As part of a broader team, you collaborate with other product managers to ensure that work in your space works coherently with current and upcoming features being launched by other BDT teams, give feedback on narratives, contribute to strategy (e.g., OP1 planning), set goals, discuss weekly business metrics, and more.
Data drives your "flywheel". You analyze data to glean insights that drive experimentation

You take what's proven and partner with Amazon organizations to apply and scale it. You define, implement, and monitor metrics that track your progress.
You partner with Amazon's business orgs to test hypotheses and deploy AI-based solutions to reduce friction and risk of errors in the ways that businesses use data.
You partner with Amazon's PXT organization to evolve and optimize roles guidelines and org design best practices to align with the way businesses are evolving their practices around getting insights from their data.
You understand and work to improve the interfaces (MCPs, APIs) that technology teams of Amazon's business orgs use to connect their bespoke AI solutions to the Andes data lake.
Launching a capability is only the start

Post launch, you are responsible for increasing usage, iterating on user feedback, and user education. You partner with engineering, human resources, legal, documentation, solution architecture, privacy, finance, and more to optimize usage of the Andes data lake for AI-based methodologies.
As an owner, you hold yourself and partners accountable for the highest quality user outcomes.
You provide clarity where there is ambiguity.