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Director of Data & AI - Post Purchase and Innovation

The Gap
  • Folsom, California
    11 days ago

    Job Description

    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

    Numbers & Facts

    LocationFolsom, California
    IndustryAll
    Company Size10,000 employees or more
    Websitehttp://www.gap.com

    About Company

    Doris and Don Fisher opened the first Gap store in 1969 with a simple idea -- to make it easier to find a pair of jeans and a commitment to do more. Over the last 46 years, the company has grown from a single store to a global fashion business with five brands -- Gap, Banana Republic, Old Navy, Athleta and Intermix. Gap's clothes are available in 90 countries worldwide through 3,300 company-operated stores, almost 400 franchise stores, and e-commerce sites and is still growing. Many companies work to improve their services and businesses every day by using GAP Testers who anonymously go into various places and report back to the companies on everything from cleanliness, customer service to quality control. Being a tester is a very flexible, fun job with lots of benefits.

    Skills

    • Algorithmsunmatched
    • Analysis Skillsunmatched
    • Artificial Intelligence (AI)unmatched
    • Call Center Operationsunmatched
    • Coachingunmatched
    • Cost Controlunmatched
    • Cross-Functionalunmatched
    • Customer Experienceunmatched
    • Customer Support/Serviceunmatched
    • Data Analysisunmatched
    • Data Managementunmatched
    • Data Scienceunmatched
    • Ecosystemsunmatched
    • Establish Prioritiesunmatched
    • Leadershipunmatched
    • Product Engineeringunmatched
    • Python Programming/Scripting Languageunmatched
    • SQL (Structured Query Language)unmatched
    • Salesunmatched
    • Team Lead/Managerunmatched
    • Technical Strategyunmatched
    • Test Plan/Scheduleunmatched
    • Test Strategyunmatched
    • Wholesale Industryunmatched

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