Manager - Pricing Strategy & Analytics

Gap Inc; New York (NY); Presencial; USD 150 000 - 190 000; Tempo integral

Resumo da oferta

Gap Inc. is shaping pricing analytics for its brands in New York. The Manager - Pricing Analytics leads pricing strategy, in-season analytics, and the translation of data into actionable recommendations across Merchandising, Planning, and Finance.

You will develop pricing principles, guardrails, and what-if financial models, applying AI-enabled analytics to drive disciplined commercial decisions and stronger brand performance.

Qualificações

• Bachelor's degree required; analytics, math, or business focus preferred.
• 6+ years of pricing analytics or related retail pricing experience.
• Strong communication to tailor messages for leadership.
• Ability to manipulate large datasets and understand data structures.
• Experience with AI-enabled analytics tools is a plus.

Responsabilidades

• Develop and run analytics to inform pricing strategy and tactics.
• Define pricing guardrails and track their effectiveness.
• Own in-season analytics and reconcile forecasts with actuals.
• Build what-if scenarios and financial models for pricing.
• Partner with Merchandising, Planning, and Finance to drive decisions.

Conhecimentos

Pricing analytics

Communication

Data manipulation

Retail math

AI-enabled analytics

Formação académica

Bachelor's degree

Ferramentas

Python

SQL

Excel

Descrição da oferta de emprego

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. Drive the definition of the brand's strategic pricing principles and pricing architecture as part of the refresh of its pricing strategy, including how success is defined and measured, and drive adoption across cross-functional teams.
• Strategic discount budget. Own the strategic positioning of discount spend across the mechanisms used to price products and communicate pricing to customers.
• In-season analytics. Reconcile in-season execution against forecasted performance and actuals, and make recommendations to Merchandise Planning and Company Planning (Finance) through "what if" scenarios and financial modeling of pricing strategies.

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.

What You'll Do

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.

Who You Are

Experience & Qualifications

• 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.
• 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.

Leadership & Mindset

Analytically exacting: you hold a high personal bar for a