Senior Director, Product Management - Pricing
Listed on 2026-10-20
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Business
Data Analyst, AI Business & Operations, Data Scientist -
IT/Tech
Data Science Manager, Data Analyst, AI Business & Operations, Data Scientist
The Senior Director of Product Management will lead the product portfolio across pricing and competitive intelligence, pricing recommendations and experimentation, and pricing execution. This leader will define the multi-year product strategy, establish portfolio priorities and outcomes, lead senior product leaders and multiple product teams, and align business, science, and technology partners around investment and execution decisions. Demonstrated experience in retail pricing, pricing technology, or pricing decision products is required.
The role requires the ability to connect pricing strategy, economics, data science, product capabilities, and enterprise technology to improve how pricing decisions are made, measured, and executed at scale.
About the team: The Pricing Product team, part of Global Merchandising Product, collaborates with Merchandising, Pricing, Economics, Data Science, Engineering, Design, Analytics, and Operations teams. It manages the end-to-end pricing lifecycle by analyzing market conditions, developing pricing recommendations, measuring outcomes through experimentation, and executing pricing actions across stores and digital channels. The team creates products that support complex, data-driven decision workflows, balancing customer value, competitiveness, demand, sales, margin, operational needs, and technology constraints to deliver effective pricing strategies and solutions.
you'll do
- Set product strategy and investment priorities across pricing intelligence, decisioning, experimentation, and execution.
- Lead senior product leaders and teams accountable for interconnected pricing products and platforms.
- Translate customer, competitive, merchant, and business needs into measurable product and pricing outcomes.
- Partner with Pricing, Merchandising, Economics, Data Science, and Engineering to advance pricing recommendations and decision systems.
- Establish experimentation and measurement that continuously improve pricing decisions and quantify impact.
- Advance AI, optimization, and automation where they improve decision quality, speed, or scale.
- Drive reliable, observable, and governed pricing execution.
- Make portfolio trade-offs and align senior leaders on investments, dependencies, and outcomes.
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