AI-Driven Pricing Optimization Manager

Gap Inc.; New York (NY); On-site; USD 119,000 - 155,000; Full time

Benefits offered by this job

Merchandise discount for brands

Paid Time Off plans

Volunteer hours

Job summary

Gap Inc. is hiring for a Manager, Pricing Optimization to lead analytics for Old Navy's pricing and promotions. You will run pricing models, stress-test AI scenario simulations, and deliver decision-ready insights to business owners and finance partners.

You'll train pricing analysts, support pricing agents, and help scale a function built from scratch within Gap Inc., applying rigorous analytics and clear commercial framing.

Qualifications

• Bachelor's degree required.
• 2–4 years of experience in pricing analytics, demand planning, or related field with retail pricing exposure.
• Strong proficiency in building and running pricing models: elasticity, risk, and scenario analysis.
• Experience applying and evaluating outputs from AI-generated analytics.
• Proficiency with reporting and analytics platforms used daily for analytics work.
• Ability to produce clear, well-structured analytical deliverables translating data into commercial recommendations.

Responsibilities

• Own markdown and promotional analytics workstreams for Old Navy; build and run models and provide recommendations.
• Develop and stress-test AI-scenario simulations for pricing decisions; validate outputs and flag risks.
• Synthesize demand signals and apply predictive pricing insights across categories.
• Monitor in-season pricing actions and identify risks or optimization opportunities.
• Use AI reporting tools and pricing platforms daily, ensuring data integrity and know when human review is needed.

Skills

Pricing analytics

Demand planning

Commercial analytics

Pricing models

AI outputs evaluation

Reporting platforms

Education

Bachelor's degree

Tools

Pricing software

Job description

Gap Inc. is hiring for a Manager, Pricing Optimization to lead analytics for Old Navy's pricing and promotions. You will run pricing models, stress-test AI scenario simulations, and deliver decision-ready insights to business owners and finance partners.

You'll train pricing analysts, support pricing agents, and help scale a function built from scratch within Gap Inc., applying rigorous analytics and clear commercial framing.