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Gap Inc. is reimagining how it brings product to market - from concept to customer - through AI, digital innovation, and new ways of working. Our mission is to build a future-proof, AI-enabled product engine that integrates design, merchandising, planning, sourcing, and inventory management into one connected ecosystem. By redesigning workflows, roles, and technologies, we’re empowering teams to make faster, smarter, and more creative decisions - guided by data, powered by AI, and elevated by human judgment. Through pilot-to-scale programs across Digital Product Creation, Speed-to-Market, and Merchandise Planning & Inventory Optimization, we’re modernizing our tools, transforming our talent model, and activating a composable tech architecture that will unlock agility, precision, and growth across all brands. At its core, the transformation is about future-proofing Gap Inc. - blending creativity, commerce, and computation to drive relevance, speed, and sustainable value creation for our customers and teams worldwide. The VP, Enterprise Pricing Performance is a foundational hire in this transformation: the person who will build Gap Inc.’s pricing strategy capability from the ground up. This is not a role that inherits a playbook. You will define the pricing architecture frameworks, establish the analytical standards, and shape how each brand thinks about price positioning, promotional strategy, and markdown execution - all within an operating model powered by AI-driven tools and agentic workflows. Reporting into the future SVP, Pricing, Platform Analytics, and Inventory Optimization, you’ll partner directly with Brand business owners, while leading a brand-aligned team of pricing optimizers dedicated to delivering decision-ready insights at speed.

Build and Own Pricing Strategy Across Brands

• Define and own the pricing strategy and architecture for each Gap Inc. brand in partnership with brand executive leadership - including good/better/best price tier frameworks, promotional ladder design, and markdown guardrails - ensuring strategies reflect each brand’s customer positioning and commercial goals.
• Create and continuously evolve the analytical foundations for pricing decisions: elasticity modeling, competitive benchmarking, promotional effectiveness, and yield management - translating these into clear, brand-specific recommendations.
• Establish enterprise-level pricing governance: decision standards, escalation guardrails, and exception protocols that give brands speed while protecting financial integrity.
• Integrate competitive intelligence, customer signals, and demand sensing into pricing strategy - bringing analytical rigor and strategic judgment to where brands set and move prices.

Lead the Pricing Analytics Function

• Build and lead a high-performing, brand-aligned Pricing Analytics team within the Pricing, Planning Analytics, and Inventory Optimization team - this is a net-new team operating in new ways, with new tools.
• Establish the operating model, role design, and capability roadmap for pricing across Brand Leads, Managers, and Associates - defining what great looks like at each level.
• Partner closely with Brand GMMs and the VPs of Planning Analytics and Inventory Optimization to deliver integrated, cross-functional scenario analysis that connects pricing moves to inventory, margin, and sell-through outcomes.
• Serve as the executive voice of pricing with Brand Presidents, Finance, and enterprise leadership - bringing clear frameworks and confident recommendations to high-stakes decisions.

Drive AI-Enabled Transformation in Pricing

• Champion the shift to AI-powered pricing workflows - defining which pricing activities are automated by agents, which require human review, and where analytical judgment is irreplaceable.
• Set standards for pricing model governance: data quality, signal integrity, assumption transparency, explainability, and performance monitoring across brands.
• Partner with Technology and Data Science to scale the tools and agentic capabilities that power in-season pricing execution, promotional scenario planning, and markdown optimization.
• Build a test-and-learn culture: establish enterprise frameworks for evaluating pricing strategies, promo effectiveness, and elasticity assumptions through controlled experimentation.

Experience

• Bachelor’s degree required; MBA or advanced degree preferred.
• 12–15+ years of experience, with meaningful time in management consulting (strategy or analytics focus) and/or CPG or retail pricing analytics - you have seen what best-in-class pricing strategy looks like and can build it.
• Demonstrated track record of building pricing architecture: designing frameworks, establishing governance, and embedding them into how a commercial organization makes decisions.
• Deep fluency in pricing strategy - price tier design, promotional mechanics, markdown optimization, elasticity modeling - and the ability to translate this into clear recommendations for merchant and executive audiences.
• Experience leading large-scale transformation programs, including operating model design, capability building, and change management in analytically complex environments.
• Comfortable operating at the leading edge of AI-driven transformation: experience with agentic tools, automated decision workflows, or AI-enabled analytics is a strong differentiator.

Leadership and Mindset

• A builder: you thrive in ambiguity, can stand up a team and function where neither exists yet, and bring structure and confidence to environments in motion.
• Strategically rigorous and commercially grounded - you connect pricing recommendations to customer behavior, brand positioning, revenue, and margin outcomes with equal fluency.
• Executive presence and storytelling ability: you make complex trade-offs legible to senior stakeholders and drive alignment across brand and enterprise leaders.
• Enterprise-minded but brand-aware - you can establish consistency without forcing uniformity across a portfolio of differentiated brands.
• Collaborative and direct: you build trust with merchant, finance, and technology partners and operate with the candor and urgency the role demands.

Salary Range: $320,000 - $360,000 USD

Employee pay will vary based on factors such as qualifications, experience, skill level, competencies and work location. We will meet minimum wage or minimum of the pay range (whichever is higher) based on city, county and state requirements.