Gap Inc.

Director of Data & AI – Post Purchase and Innovation

Gap Inc.

full-time

Posted on:

Location Type: Remote

Location: CaliforniaUnited States

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Tech Stack

About the role

  • 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

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
  • 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
Benefits
  • Competitive salary
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
PythonSQLdata analysisalgorithm developmentmodel deploymentdata-driven insightsadvanced analytical techniquestesting strategiesmeasurement frameworksdata science
Soft Skills
leadershipcommunicationinfluenceteam buildingcoachingstorytellingcuriosityownershipdeliverycollaboration