Senior Manager, Pricing Optimization

Gap Inc.

Senior Manager, Pricing Optimization leading pricing strategies for Old Navy. Overseeing data-driven recommendations to shape pricing actions that impact revenue outcomes.

Posted 6/17/2026full-timeSan Francisco • California, New York • 🇺🇸 United StatesSeniorWebsite

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

pricing analyticsdemand planningcommercial analyticsretail analyticsprice elasticity modelingsensitivity analysisrisk modelingpromotion effectiveness analysismarkdown strategypredictive insights

Soft Skills

team managementinfluencing stakeholdersanalytical qualitycommercial rigorcommunicationcoachingcollaborationproblem-solvingadaptabilityleadership

Tools & Technologies

AI reporting toolspricing platformsAI-scenario simulation toolsdecision modeling tools

Industry Keywords

retailconsumer productsmarkdown analysispromotional optimizationdemand signalsseasonal pricingin-season pricingcross-functional collaborationenterprise pricing strategycommercial opportunity

About the role

Key responsibilities & impact

Execute Pricing & Promotional Optimization
Execute and review markdown and promotional analyses for Old Navy, applying retail analytics and sensitivity analysis to ensure recommendations optimize margin, conversion, and brand competitiveness.
Synthesize demand signals and predictive pricing insights to provide analytical input for seasonal and in-season decisions—including promotional effectiveness, markdown timing, yield management, and good/better/best pricing architecture.
Run and validate AI-scenario simulations and decision models, applying human judgment to outputs before they inform pricing actions—confirming assumptions, flagging risks, and maintaining brand and enterprise guardrails.
Interpret AI-generated pricing signals and translate them into commercially grounded recommendations, ensuring the “what” and the “so what” are always clear for merchant and finance partners.
Monitor in-season pricing actions and flag emerging risks or optimization opportunities, ensuring the brand can move with speed and confidence when market or inventory signals shift.
Influence and align cross-functional partners by articulating trade-offs clearly and confidently to Old Navy business owners and finance partners.
Support weekly and monthly business reviews with insight implication narratives: not just what the data shows, but what it means for pricing strategy, margin risk, and commercial opportunity.
Partner with the Pricing Performance Brand Lead to execute enterprise pricing strategy within Old Navy, applying consistent standards while accounting for brand-specific customer and inventory dynamics.
Collaborate with data science and technology partners to apply AI reporting tools and pricing platforms proficiently—operating as a skilled user and quality reviewer, not a passive recipient of outputs.
Manage and coach a team of Pricing Optimization analysts, setting clear expectations for analytical quality, AI-informed judgment, and commercial rigor across all work product. Review associate deliverables with a structured eye—providing direct, constructive feedback that builds capability in demand signal interpretation, trade-off articulation, and insight communication.
Foster a team culture of experimentation and continuous learning: actively test new approaches, pilot AI tools, identify what works, and build on it systematically.

Requirements

What you’ll need

Bachelor’s degree required.
8+ years of experience in pricing analytics, demand planning, commercial analytics, or a related field—with direct exposure to retail or consumer products pricing.
2+ years of experience managing or leading teams, with a track record of developing analysts and influencing cross-functional stakeholders.
Hands-on proficiency in retail analytics, price elasticity modeling, sensitivity analysis and risk modeling, promotion effectiveness analysis, and markdown strategy.
Experience synthesizing demand signals and producing predictive insights and forecast interpretations that translate into commercial pricing recommendations.
Working knowledge of AI-scenario simulation and decision modeling tools; you can run, interpret, and quality-check AI-generated pricing scenarios, not just consume their outputs.
Proficiency with AI reporting and analytics platforms; you apply these tools fluently and coach others to do the same.
Demonstrated ability to translate complex commercial and financial data into clear, actionable recommendations for merchant and leadership audiences.

Benefits

Comp & perks

Health insurance
401(k) matching
Flexible work hours
Paid time off
Remote work options