Head of Enterprise Pricing & AI Analytics

Gap Inc; New York (NY); On-site; USD 320,000 - 360,000; Full time

Benefits offered by this job

Merchandise discount

Paid Time Off

Volunteer hours

401(k) matching

Employee stock purchase plan

Medical, dental, vision insurance

Job summary

Gap Inc. is seeking a SVP-level pricing leader to architect pricing across our brand portfolio. You will define price positioning, promotional strategy, and markdown governance, powered by AI-driven analytics.

Lead a new pricing analytics team, align with Brand GMMs and enterprise leaders, and drive cross-functional scenario analysis to optimize margin and inventory outcomes. You will partner with technology and data science to scale agentic pricing tools, establish governance, and create

Qualifications

• Bachelor's degree required; MBA or advanced degree preferred.
• 12-15+ years in strategy or analytics, with pricing analytics in CPG/retail.
• Demonstrated track record building pricing architecture and governance.
• Experience with AI-driven pricing workflows and analytics.

Responsibilities

• Define pricing strategy and architecture for each Gap Inc. brand and establish governance.
• Build and lead a brand-aligned Pricing Analytics team and capability roadmap.
• Partner with Brand Presidents and enterprise leaders for scenario analysis affecting margin and sell-through.
• Champion AI-powered pricing workflows and ensure data quality and transparency.

Skills

Pricing strategy

Leadership

Analytics

Executive communication

AI-enabled transformation

Education

Bachelor's degree

MBA or advanced degree

Tools

Pricing analytics tools

Job description

Gap Inc. is seeking a SVP-level pricing leader to architect pricing across our brand portfolio. You will define price positioning, promotional strategy, and markdown governance, powered by AI-driven analytics.

Lead a new pricing analytics team, align with Brand GMMs and enterprise leaders, and drive cross-functional scenario analysis to optimize margin and inventory outcomes. You will partner with technology and data science to scale agentic pricing tools, establish governance, and create