Lead the design, development, and optimization of data infrastructure and analytics solutions across Amazon’s supply chain and enterprise systems.
Compensation
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
Responsibilities
Define and communicate a compelling product vision and strategy
Partner with engineering and design teams to develop functional and non-functional requirements
Drive cross-functional alignment across engineering, science, design, finance, marketing, and operations
Identify opportunities to integrate generative AI capabilities into product workflows
Define success criteria and key performance indicators, analyze usage data and customer behavior
Requirements
Bachelor's degree
Nice to have: feature delivery
Nice to have: tradeoffs
Nice to have: bridging technical and business teams
Supports the Data Risk Oversight and Tools Risk Management Director in administering the Tool Risk Management Program and overseeing data management governance within Enterprise Risk Management.
Responsibilities
Maintain enterprise tool inventory and classification
Execute annual tool ownership attestation
Perform tool risk assessments and validations
Prepare validation workpapers and evidence
Support 2LOD oversight of data management program
Requirements
Bachelor's Degree in Finance, Data Analytics, Information Systems, Computer Science, Mathematics/Statistics, Risk Management, or a related field
Nice to have: Certified Data Management Professional (CDMP)
Nice to have: Certified in Risk and Information Systems Control (CRISC)
Nice to have: Certified Information Systems Auditor (CISA)
Nice to have: Microsoft Power BI Data Analyst (PL-300)
Design, develop, implement, and maintain data architecture, pipelines, integrations, and data structures to transform raw operational data into reliable, accessible, and analysis-ready information.
Compensation
Pay Range $131,300.00 - $237,350.00
Responsibilities
Design logical and physical data models for analytical workloads
Develop data structures integrating multiple applications, databases, files, APIs, logs, and external data sources
Evaluate and improve existing data architectures
Support design and implementation of data warehouses, marts, lakes, and other repositories
Design, develop, test, deploy, and maintain ETL/ELT processes and automated data pipelines
Requirements
Bachelor's degree in Computer Science, Data Science, Information Systems, Software Engineering, Computer Engineering, Mathematics, Statistics, or a related technical discipline
