Verified recordSoftware Development

Carnella Lee

Area Manager at Amazon

Based in New York, United States

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Seniority

Manager

Department

General Business & Management

Location

New York

Industry

Software Development

Company size

762K

Contact information

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Email

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c•••••••@amazon.com

Phone

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Background

About Carnella Lee

Operations leadership, at its core, is about making complexity manageable and performance predictable. I’ve spent 6+ years doing exactly that. Leading teams of 60+ across last-mile delivery, molecular diagnostics commercialization, and high-volume retail. My approach is grounded in systems thinking: identify the leverage points, design interventions that address root causes, and build cultures where accountability and performance are inseparable.My professional foundation is unusual. I started as a molecular biologist, publishing research on cancer stem cells and immunology before transitioning into diagnostics sales and operations. That scientific training, hypothesis testing, data interpretation, experimental rigor—translates directly into how I approach operational problems. I don’t guess. I diagnose, test, and iterate.At Amazon, I manage safety, quality, productivity, and customer delivery promises across a high-volume network. Before that, I built sales pipelines and partner relationships in molecular diagnostics. Before that, I led retail teams through restructuring and growth. The industries change; the principles don’t. What I bring to operations leadership is the ability to translate complexity into clarity, whether that’s forecasting labor needs, optimizing delivery routes, or coaching underperforming managers. I build systems that work without me, and teams that execute with precision. I’m exploring senior operations roles where I can leverage strategic ownership, cross-functional leadership, and a track record of building scalable, high-performing teams.What I’m known for: Turning operational chaos into measurable performance. Building teams that execute under pressure. Translating data into decisions that stick.

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