Gap Manager - Pricing Strategy & Analytics

About the role

Gap Inc. is transforming how its brands use data and AI to make faster, more precise commercial decisions, and the Manager - Pricing Analytics is where that work gets built. This role owns the pricing analysis tied to the brand's strategic pricing principles and serves as the analytical engine of the pricing intelligence function. The scope spans three areas: strategic pricing principles, strategic discount budget, and in‑season analytics. Reporting to the Brand Pricing Performance Lead, you will own outcomes across these areas, working within a single brand. You will manage relationships with cross‑functional partners across Merchandising, Planning, Company Planning, Commerce & Experience, and Pricing Operations, and turn complex internal and external data into clear, decision‑ready insight that drives strategic alignment on what the brand should do.

Responsibilities

• Own Pricing Principles, Discount Budget, and Pricing Architecture – develop and run repeatable analytics that inform pricing strategy, pricing architecture, and pricing tactics, applying rigorous methods to produce recommendations grounded in accurate data; develop and own the pricing guardrails adopted by the cross‑functional team, including measuring their effectiveness and driving adoption; own the strategic discount budget for the brand, and the in‑season reconciliation of actions taken against it; define how success is measured for the brand's pricing principles, and report on it.
• Deliver In‑Season Analytics and Reporting – reconcile in‑season pricing execution with forecasted performance and actuals, and flag where the brand is off plan; build “what if” scenarios and financial models of pricing strategies, and package recommendations for Merchandise Planning and Company Planning (Finance); develop and manage aggregated data analysis and reporting that turns findings into actionable, visual reports and research‑driven recommendations.
• Support Competitive Price Positioning – analyze internal and external data to set and maintain competitive price positioning, building the models and benchmarks the team relies on; track and report on competitive price positioning, validating that the brand is executing against aligned benchmarks and flagging where it is not.
• Partner Cross‑Functionally – own relationships with internal stakeholders and external partners on strategic pricing and analytics projects; work autonomously with peers and share clear findings with the leadership team across Merchandising, Planning, Company Planning, Commerce & Experience, and Pricing Operations; translate analytics into the “what” and the “so what” for business owners and finance partners; identify opportunities for continuous process improvement and support cross‑functional decision‑making.
• Apply AI and Build the Function – apply and validate outputs from pricing agents, confirming data integrity and business logic before recommendations are finalized, and contribute to training and refining those agents; simplify and automate repeatable processes, contributing to the tools and workflows the function will run on as it scales; review and provide feedback on analyses from the analyst on the team, and collaborate with them on ad‑hoc pricing projects.

Requirements

Bachelor's degree required. Preferred emphasis on analytics, mathematics, business, supply chain, industrial engineering, finance, accounting, or economics. 6+ years of experience in pricing analytics, competitive intelligence, or a related field, with direct exposure to retail or consumer products pricing.

Skills

• Clear communication skills and the ability to tailor messaging to various levels of the organization.
• Able to manipulate very large data sets to interpret patterns and learnings; strong understanding of data structures and algorithms.
• Proficiency in Microsoft Excel with an aptitude to learn technical applications quickly; proficiency in Python and/or SQL preferred.
• Financial and business acumen: ability to evaluate financial and business indicators and translate data into actionable information to drive results; proficiency in retail math preferred.
• Experience or an aptitude for AI‑enabled analytics tools; comfortable validating outputs from pricing agents and applying judgment to AI‑generated recommendations.

Benefits

• Merchandise discount for our brands: 50% off regular‑priced merchandise at Old Navy, Gap, Banana Republic and Athleta, and 30% off at Outlet for all employees.
• One of the most competitive Paid Time Off plans in the industry.
• Employees can take up to five “on the clock” hours each month to volunteer at a charity of their choice.
• Extensive 401(k) plan with company matching for contributions up to four percent of an employee's base pay.
• Employee stock purchase plan.
• Medical, dental, vision and life insurance.

Pay

Salary Range: $119,400.00 - $155,200.00. 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