Director of Data & AI - Post Purchase and Innovation
At a glance
Director-level Data Leadership role at Gap Inc. San Francisco · full-time · no salary stated · we estimate $187,250–$244,606 across the United States.
Gap Inc has not published a salary for this role. The figure below is our estimate, not theirs.
dataroles summary, based on the employer's posting.
What you'll do
- Set the data and AI agenda for post-purchase work, tying priorities to business goals and customer outcomes
- Guide technology spending and roadmap choices with executive leaders, including trade-offs between investments
- Lead a cross-functional team of data scientists, analysts and data product managers, developing both technical skill and business impact
- Build experimentation into technology decisions, defining tests and ways to measure results across initiatives
- Oversee algorithms and models that improve operating efficiency, lower costs and support customer experience
What you bring
- You have led data or data science teams and can point to strategy and business results delivered through data
- You bring practical Python and SQL skills and can steer technical decisions
- Retail or marketplace experience is strongly preferred
Who this fits
This director role suits a hands-on data leader who can set direction, build a team and explain technical ideas to business and executive partners. The position is based in San Francisco.
From the employer
About the Role
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.
What You'll Do
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
Who You Are
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
Retail or marketplace experience strongly preferred
Exceptional leadership, communication, and influence skills
A track record of building teams, driving strategy, and delivering real business outcomes through data
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