Chewy-posted 1 day ago
Full-time • Director
Bellevue, WA
5,001-10,000 employees

At Chewy, we strive to be the most trusted and convenient online destination for pet parents and our partners – vets and service providers – alike. Our success is measured by the happiness of the people and pets we serve, not simply by the amount of pet supplies we deliver. That’s why we continue to think outside the Chewy box to delight, surprise, and thank our loyal pet lovers! Chewy’s mission is to deliver exceptional value to pet parents every day. Pricing plays a critical role in that mission — ensuring our ~200K product catalog is competitively priced, trusted, and easy for customers to understand. We are seeking a Senior Director of Pricing & Data Science to lead the vision, strategy, and execution of Chewy’s central pricing organization. In this role, you will shape how Chewy prices products across categories, partner with leaders across the company, and drive innovations that ensure customers always feel confident shopping with us.

  • Set the enterprise pricing strategy across catalog, retail categories, and emerging businesses.
  • Lead a multi-disciplinary pricing organization, including Pricing Operations, Analytics, Data Science, and Product Management.
  • Ensure Chewy’s prices are competitive, accurate, and predictable, balancing customer trust with long-term business health.
  • Drive experimentation and innovation, including elasticity modeling, ML frameworks, causal inference, generative AI applications, and dynamic pricing capabilities.
  • Communicate pricing strategy and performance to senior leadership with clarity, sound judgment, and a customer-first mindset.
  • Build and develop high-performing teams, fostering a culture of curiosity, ownership, and operational excellence.
  • MBA or MS in Economics, Mathematics, Finance, Data Science, or a related field
  • 15+ years of progressive professional experience
  • 5+ years in retail or e-commerce pricing
  • 5+ years managing large, multi-level teams
  • Deep experience with dynamic pricing, experimentation, causal modeling, and machine learning
  • Strong executive communication skills, with the ability to simplify complexity
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