VP, Enterprise Pricing Performance

Gap Inc.•San Francisco, CA

About The Position

Gap Inc. is undergoing a significant transformation, leveraging AI and digital innovation to revolutionize its product-to-market process. The goal is to create a future-proof, AI-enabled product engine that connects design, merchandising, planning, sourcing, and inventory management. This transformation involves redesigning workflows, roles, and technologies to empower teams with faster, smarter, and more creative decision-making, driven by data and AI, with human judgment as the final guide. Through various pilot-to-scale programs, Gap Inc. is modernizing its tools, talent model, and technology architecture to enhance agility, precision, and growth across all its brands. The core objective is to future-proof Gap Inc. by integrating creativity, commerce, and computation to deliver relevance, speed, and sustainable value. The VP, Enterprise Pricing Performance is a critical new role responsible for building Gap Inc.'s pricing strategy capability from the ground up. This individual will define pricing architecture frameworks, establish analytical standards, and shape how each brand approaches price positioning, promotional strategy, and markdown execution, all within an AI-driven operating model. Reporting to the future SVP, Pricing, Platform Analytics, and Inventory Optimization, this role will collaborate closely with brand business owners and lead a team of pricing optimizers focused on delivering timely, decision-ready insights.

Requirements

Bachelor’s degree required; MBA or advanced degree preferred.
12–15+ years of experience, with significant time in management consulting (strategy or analytics focus) and/or CPG or retail pricing analytics.
Demonstrated track record of building pricing architecture: designing frameworks, establishing governance, and embedding them into commercial decision-making processes.
Deep fluency in pricing strategy, including price tier design, promotional mechanics, markdown optimization, and elasticity modeling, with 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.
Comfort operating at the leading edge of AI-driven transformation; experience with agentic tools, automated decision workflows, or AI-enabled analytics is a strong differentiator.
A builder mindset: thrives in ambiguity, can establish a team and function where none exist, and brings structure and confidence to dynamic environments.
Strategically rigorous and commercially grounded: connects pricing recommendations to customer behavior, brand positioning, revenue, and margin outcomes.
Executive presence and storytelling ability: makes complex trade-offs understandable to senior stakeholders and drives alignment across brand and enterprise leaders.
Enterprise-minded but brand-aware: establishes consistency without forcing uniformity across a portfolio of differentiated brands.
Collaborative and direct: builds trust with merchant, finance, and technology partners and operates with candor and urgency.

Responsibilities

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 price tier frameworks, promotional ladder design, and markdown guardrails, ensuring alignment with brand positioning and commercial goals.
Create and continuously evolve the analytical foundations for pricing decisions, such as elasticity modeling, competitive benchmarking, promotional effectiveness, and yield management, translating these into clear, brand-specific recommendations.
Establish enterprise-level pricing governance, including decision standards, escalation guardrails, and exception protocols, to ensure speed while protecting financial integrity.
Integrate competitive intelligence, customer signals, and demand sensing into pricing strategy, applying analytical rigor and strategic judgment to pricing decisions.
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.
Establish the operating model, role design, and capability roadmap for pricing across Brand Leads, Managers, and Associates.
Partner closely with Brand GMMs and the VPs of Planning Analytics and Inventory Optimization to deliver integrated, cross-functional scenario analysis connecting pricing to inventory, margin, and sell-through outcomes.
Serve as the executive voice of pricing with Brand Presidents, Finance, and enterprise leadership, presenting clear frameworks and confident recommendations for critical decisions.
Drive AI-Enabled Transformation in Pricing: Champion the shift to AI-powered pricing workflows, defining the roles of automation, human review, and analytical judgment.
Set standards for pricing model governance, including data quality, signal integrity, assumption transparency, explainability, and performance monitoring.
Partner with Technology and Data Science to scale the tools and agentic capabilities for in-season pricing execution, promotional scenario planning, and markdown optimization.
Build a test-and-learn culture by establishing enterprise frameworks for evaluating pricing strategies, promo effectiveness, and elasticity assumptions through controlled experimentation.