Director of Data & AI - Post Purchase and Innovation

Gap Inc.•San Francisco, CA

11d

About The Position

We’re looking for a business-minded Director of Data & AI to own and scale data and AI capabilities across our Post-Purchase and Innovation ecosystem. This role sits at the intersection of strategy, technology, and customer experience—spanning fulfillment, returns, call center operations, experimentation, and emerging channels such as marketplace partnerships (on-demand fulfillment, social selling, wholesale, and beyond). Think of this role as a General Manager for Data & AI in this space: setting the vision, shaping the roadmap, and turning data into measurable business impact. You’ll partner closely with Product, Engineering, and business leaders to prioritize investments, guide innovation, and ensure data and AI are core to how we operate and grow.

Requirements

Proven experience leading data and/or data science teams, ideally in fulfillment, returns, or innovation-driven environments
Strong hands-on foundation in Python and SQL, with the ability to guide technical direction
Exceptional leadership, communication, and influence skills
A track record of building teams, driving strategy, and delivering real business outcomes through data

Nice To Haves

Retail or marketplace experience strongly preferred

Responsibilities

Set the Vision Define and lead the data and AI strategy for Post-Purchase and Innovation, aligning it tightly with company priorities and customer outcomes
Partner with executive leadership to influence technology investment decisions, trade-offs, and long-term roadmap planning
Drive smarter usage and optimization of existing platforms across Fulfillment, Returns, and Customer Support using data-driven insights
Build and Lead a High-Impact Team Hire, lead, and inspire a cross-functional team of data scientists, analysts, and data product managers
Create a culture of ownership, curiosity, and delivery—coaching the team on both technical excellence and business impact
Deliver complex initiatives in collaboration with Engineering, Data Engineering, Product, and Business teams
Drive Experimentation & Learning Champion a test-and-learn mindset, embedding experimentation into how technology decisions are made
Lead experimentation design, measurement frameworks, and testing strategies across initiatives
Apply advanced analytical techniques to evaluate outcomes, run “what-if” scenarios, and provide clear recommendations
Advance Algorithms & AI Oversee the design, development, and deployment of algorithms and models that improve efficiency, reduce cost, and elevate customer experience
Ensure models are scalable, explainable, and aligned with real-world operational needs
Be a Connector & Storyteller Translate business challenges into actionable data and AI initiatives
Communicate complex technical concepts with clarity and confidence to non-technical partners
Present insights, progress, and recommendations to senior and executive leadership