Manager, Pricing Optimization

Gap Inc. is transforming how its brands use data and AI to make faster, more precise commercial decisions, and the Manager, Pricing Optimization is where that work gets built. This role is the analytical engine of Old Navy’s pricing function—the person who runs the models, builds the scenarios, synthesizes the demand signals, and produces the decision-ready analysis that drives how the brand promotes and marks down product. Reporting to the Sr. Manager, Pricing Optimization, you will own the execution of specific pricing and promotional analytics workstreams, operating with a high degree of technical proficiency and analytical independence. You will apply and validate outputs from pricing agents, build and stress-test scenario models, and distill complex data into clear, well-packaged insights that your team brings to Old Navy’s business owners and finance partners. You will also support the development of pricing analysts and help train pricing agents, playing a key part in building the team’s analytical capabilities as the function grows.

Build and Execute Pricing Analytics Own specific markdown and promotional analytics workstreams for Old Navy—building and running the models, applying elasticity and sensitivity analysis, and producing well-structured recommendations grounded in accurate retail data. Develop and stress-test AI-scenario simulations for in-season and seasonal pricing decisions, applying rigorous analytical judgment to validate outputs from pricing agents and flag assumptions, inconsistencies, or risks before recommendations are finalized. Synthesize demand signals and apply predictive pricing insights across assigned categories—including promotional effectiveness, markdown timing, yield management, and good/better/best architecture—to produce analysis that is accurate, thorough, and commercially grounded. Maintain ongoing monitoring of in-season pricing actions for assigned workstreams, proactively identifying risks or optimization opportunities and escalating with clear data and a recommended point of view. Apply AI reporting tools and pricing platforms as a proficient daily user—interrogating outputs critically, ensuring data integrity, and knowing when something requires human review before informing a decision. Prepare Decision-Ready Analysis and Insights Package analytical work into clear, well-structured deliverables that your team brings to Old Navy business owners and finance partners—making the “what” and “so what” explicit and the trade-offs easy to act on. Prepare supporting analysis and materials for weekly and monthly business reviews, synthesizing pricing performance across assigned categories into accurate, insight-led summaries. Translate data complexity into plain commercial framing: you don’t just produce the output—you articulate what it means for margin, revenue, or promotional ROI in language that non-analytical stakeholders can use. Respond to ad hoc analytical requests from Pricing leaders with speed and accuracy, building a track record as someone who can be relied on to deliver clean, well-reasoned work under time pressure. Help Build the Future of Pricing Contribute directly to training and refining Old Navy’s pricing agents—identifying where AI outputs fall short, documenting patterns, and working with data science and technology partners to improve model performance over time. Help define what good looks like in an agentic pricing workflow—documenting analytical standards, flagging edge cases, and contributing institutional knowledge that shapes how pricing agents are structured, validated, and improved. Bring a builder’s mindset to a function that is being created from scratch—piloting new approaches, stress-testing what works, and actively contributing to how this team operates as it scales into something that has never existed at Gap Inc. before.

Experience Bachelor’s degree required. 2-4 years