AI-Driven Pricing Optimization Manager

BoF Careers; San Francisco (CA); On-site; USD 119,000 - 155,000; Full time

Benefits offered by this job

Merchandise discount

Paid time off

Volunteer hours

401(k) matching

Employee stock purchase plan

Health, dental, vision insurance

Job summary

Gap Inc. is transforming how its brands use data and AI to make faster, more precise commercial decisions. The Manager, Pricing Optimization leads pricing analytics, runs models, builds scenarios, and delivers decision-ready insights to owners and finance partners.

Reporting to the Sr. Manager, Pricing Optimization, you will own the execution of pricing analytics workstreams, applying technical proficiency and analytical independence.

Qualifications

• Bachelor's degree required.
• 2-4 years of experience in pricing analytics, demand planning, commercial analytics, or a related field.
• Strong technical proficiency in building and running pricing models: elasticity analysis, sensitivity and risk modeling, promotional effectiveness, markdown optimization, and scenario simulation.
• Experience or an aptitude for working with AI-generated analytical outputs: you know how to apply, interrogate, and quality-check outputs from pricing agents.
• Proficiency with reporting and analytics platforms; you use these tools fluently and independently in your day-to-day analytical work.
• Demonstrated ability to produce clean, well-structured analytical deliverables that translate complex data into clear commercial recommendations.

Responsibilities

• 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.
• Package analytical work into clear, well-structured deliverables for weekly and monthly business reviews, synthesizing pricing performance across assigned categories into accurate, insight-led summaries.
• Translate data complexity into plain commercial framing: articulate what it means for margin, revenue, or promotional ROI in language 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 deliver clean, well-reasoned work under time pressure.
• Contribute directly to training and refining Old Navy's pricing agents—documenting patterns and working with data science to improve model performance over time.

Skills

Pricing analytics

Pricing models

AI outputs interpretation

Data analysis

Communication

Education

Bachelor's degree

Tools

Pricing platforms

Job description

Gap Inc. is transforming how its brands use data and AI to make faster, more precise commercial decisions. The Manager, Pricing Optimization leads pricing analytics, runs models, builds scenarios, and delivers decision-ready insights to owners and finance partners.

Reporting to the Sr. Manager, Pricing Optimization, you will own the execution of pricing analytics workstreams, applying technical proficiency and analytical independence.