Impress employers and recruiters.
Choose from hundreds of resume examples.
Impress employers and recruiters.
Choose from hundreds of resume examples.
About the Role
Gap Inc. is transforming how its brands use data and AI to make faster, more precise commercial decisions. The Manager, Pricing Optimization is the analytical engine of Old Navy’s pricing function, responsible for running models, building scenarios, synthesizing demand signals, and producing decision-ready analysis that drives promotional and markdown strategies. Reporting to the Sr. Manager, Pricing Optimization, this role owns specific pricing and promotional analytics workstreams with technical proficiency and analytical independence. Responsibilities include applying and validating pricing agent outputs, building and stress-testing scenario models, and distilling complex data into clear insights for business owners and finance partners. The role also supports the development of pricing analysts and trains pricing agents, contributing to the team’s growing analytical capabilities.
Responsibilities
- Own specific markdown and promotional analytics workstreams for Old Navy, building and running models, applying elasticity and sensitivity analysis, and producing structured recommendations grounded in retail data.
- Develop and stress-test AI-scenario simulations for pricing decisions, applying analytical judgment to validate pricing agent outputs and flag assumptions, inconsistencies, or risks.
- Synthesize demand signals and apply predictive pricing insights across assigned categories, including promotional effectiveness, markdown timing, yield management, and good/better/best architecture.
- Maintain ongoing monitoring of in-season pricing actions for assigned workstreams, proactively identifying risks or optimization opportunities and escalating with clear data and a recommended point of view.
- Apply AI reporting tools and pricing platforms as a proficient daily user, interrogating outputs critically, ensuring data integrity, and identifying when human review is needed.
- Package analytical work into clear, structured deliverables for business owners and finance partners, making the "what" and "so what" explicit and trade-offs easy to act on.
- Prepare supporting analysis and materials for business reviews, synthesizing pricing performance into insight-led summaries.
- Translate data complexity into plain commercial framing, articulating implications for margin, revenue, or promotional ROI.
- Respond to ad hoc analytical requests from Pricing leaders with speed and accuracy.
- Contribute to training and refining Old Navy’s pricing agents, identifying AI output shortcomings, documenting patterns, and working with data science and technology partners to improve model performance.
- Help define analytical standards for agentic pricing workflows, flagging edge cases, and contributing institutional knowledge.
- Pilot new approaches, stress-test methods, and contribute to the operational structure of the pricing team as it scales.
Requirements
- Bachelor’s degree required.
- 2-4 years of experience in pricing analytics, demand planning, commercial analytics, or a related field.
- Direct, hands-on exposure to retail or consumer products pricing.
- Strong technical proficiency in building and running pricing models, including elasticity analysis, sensitivity and risk modeling, promotional effectiveness, markdown optimization, and scenario simulation.
- Experience or aptitude for working with AI-generated analytical outputs, including applying, interrogating, and quality-checking outputs from pricing agents.
- Proficiency with reporting and analytics platforms, using them fluently and independently.
- Demonstrated ability to produce clean, well-structured analytical deliverables that translate complex data into clear commercial recommendations.
- Analytically exacting with a high personal bar for accuracy and ownership of models and assumptions.
- Commercially curious, connecting analytical work to business outcomes like margin, revenue, promotional ROI, and customer impact.
- Clear and direct communicator, able to distill analytical complexity into plain commercial framing.
- AI-partnership mindset, engaging with agentic tools as a critical collaborator.
- Curious and adaptable, with genuine interest in pricing, AI, and retail intersections.
- Actively builds skills as tools evolve and applies a test-and-learn approach to analytical methods.
Skills
- Pricing analytics
- Demand planning
- Commercial analytics
- Retail pricing
- Consumer products pricing
- Pricing models
- Elasticity analysis
- Sensitivity analysis
- Risk modeling
- Promotional effectiveness
- Markdown optimization
- Scenario simulation
- AI-generated analytical outputs
- Pricing agents
- Reporting platforms
- Analytics platforms
- Data analysis
- Commercial recommendations
- Communication
- AI collaboration
Location
- Old Navy
Work Type
- Full-time
Experience Level
- Manager
Education Level
- Bachelor's degree
About the Company
- Gap Inc. is transforming how its brands use data and AI to make faster, more precise commercial decisions.