AI-Driven Pricing Analytics Manager

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

Benefits offered by this job

Merchandise discount

Paid Time Off

401(k) matching

Employee stock purchase plan

Medical, dental, vision insurance

Job summary

Gap Inc. is seeking a Manager of Pricing Analytics to lead pricing analysis, define pricing principles, and drive in-season analytics for a brand.

You will own strategic pricing architecture, discount budgeting, and model-based recommendations for cross-functional partners in Merchandising, Planning and Finance. The role requires a Bachelor’s degree and 6+ years in pricing analytics within retail or consumer products, with strong Excel, Python/SQL skills and AI-enabled analytics experience.

Qualifications

• Bachelor’s degree required. Prefer analytics, math, business, finance or economics.
• 6+ years of pricing analytics or related field with retail or consumer products exposure.
• Strong communication skills and ability to tailor messaging across the organization.
• Able to manipulate large data sets; strong data structures and algorithms knowledge.
• Proficient in Excel; Python and/or SQL preferred.

Responsibilities

• Develop repeatable analytics informing pricing strategy, architecture and tactics.
• Own pricing guardrails and measure their effectiveness across cross-functional teams.
• Manage in-season pricing and discount budget, and reconcile actions against forecasts.
• Build and package what-if scenarios and financial models for decision-makers.
• Translate analytics into actionable business insights for leadership.

Skills

Pricing analytics

Retail pricing

Data analysis

Communication

AI-enabled analytics tools

Education

Bachelor’s degree

Tools

Excel

Python

SQL

Job description

Gap Inc. is seeking a Manager of Pricing Analytics to lead pricing analysis, define pricing principles, and drive in-season analytics for a brand.

You will own strategic pricing architecture, discount budgeting, and model-based recommendations for cross-functional partners in Merchandising, Planning and Finance. The role requires a Bachelor’s degree and 6+ years in pricing analytics within retail or consumer products, with strong Excel, Python/SQL skills and AI-enabled analytics experience.