Gap Inc. Manager, Pricing Optimization, Navy

About Gap Inc.

At Gap Inc., we create culture as much as we create clothes. Our ambition is to become a high‑performing house of iconic American brands that shape culture. Our portfolio—Old Navy, Gap, Banana Republic, and Athleta—each brings a distinct point of view to how we show up in the world and serve our customers. Old Navy democratizes style with quality and value for all.

Gap champions originality through essential pieces that celebrate individuality. Banana Republic is rooted in a spirit of discovery, creating modern pieces inspired by craftsmanship and travel. Athleta champions the Power of She through confidence, strength, and movement. We’re driven by a shared purpose: to bridge gaps between people, perspectives, and possibilities to create a better world. We’re building a team that performs at a high level—people who think boldly, take ownership, and turn ideas into impact.

If you’re ready to learn fast and help shape what’s next, you’ll fit right in.

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 optimization 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 work streams, 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.

• Own specific markdown and promotional analytics work streams 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 work streams, 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.

• 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.

• Contribute…