Description

As the leader of the Seller Verification Services (VS) Data function, you will drive the transformation of Amazon's global seller verification and onboarding systems. VS operates at the intersection of trust and scale—enabling legitimate sellers to onboard quickly while preventing bad actors from accessing the Amazon marketplace. Our organization combines engineering, analytics, product management, and program expertise to verify millions of entities annually.

You will lead the data infrastructure that powers verification decisions across Amazon's worldwide stores. This includes building scalable data pipelines, developing analytical frameworks, and enabling machine learning models that assess seller legitimacy in real-time. Your work will directly impact seller experience, marketplace integrity, and Amazon's ability to grow its third-party selling business globally.

The Sr Manager, Data Engineering role owns a portfolio of data engineering, business intelligence, and analytics teams that solve complex verification challenges. You will partner with product managers, software engineers, data scientists, and business leaders to deliver data infrastructure, modeling capabilities, and insights that drive verification effectiveness. This role requires proven people management experience and the ability to define and execute strategy across a global technical ecosystem.

The ideal candidate excels at building simple, elegant solutions that scale. You think holistically across organizational boundaries, translating business problems into technical solutions. You create collaborative outcomes, ensure systems are reliable and secure, and always prioritize the customer experience.

Key job responsibilities
As Sr Manager of Data Engineering, you will lead multiple teams of builders to define and deliver the Verification Services data strategy:

1. Set organizational priorities by balancing customer experience, stakeholder requirements, and business impact. Define success metrics and ensure teams focus on high-leverage work.

2. Define the long-term technical vision for data infrastructure, analytics, and machine learning enablement. Design systems that scale with business growth and adapt to evolving verification requirements.

3. Deliver high-quality data engineering solutions including production-grade pipelines, data models, and analytical tools. Build rapid prototypes to validate approaches and gather user feedback.

4. Collaborate with product and business leaders to translate verification requirements into technical solutions. Partner with science teams to productionize models and with engineering teams to integrate data systems.

5. Hire and develop talent across data engineering, business intelligence, and analytics disciplines. Build a high-performing organization capable of solving Amazon's most complex verification challenges.

About the team
The Verification Services team has evolved over 8+ years through scope expansion and organizational integration. Our leadership team brings diverse backgrounds in engineering, product, program management, operations, science, and business intelligence.