Senior Analyst, Data Science Enablement

In this role, you are the bridge between Data Science and the business — responsible for driving adoption of AI and ML models across Gap Inc. brands. You will operate as an internal consultant working in partnership with the Data Science organization: building trusted relationships with business stakeholders, translating complex model outputs into clear commercial narratives, and ensuring that every model the DS team builds drives measurable business impact. Success in this role looks less like coding and more like business enablement — structured thinking, reliable delivery, and the ability to make technical complexity feel simple and actionable to merchant, planning, and sourcing leaders.

Model Adoption & Value Realization   Own the end-to-end adoption lifecycle for a portfolio of DS models — from first stakeholder introduction through sustained, broad-based use   Own and   maintain   a library of Model Explainability Cards — one-page business-language explainers for every production AI/ML model in the DS portfolio   Design and coordinate adoption-focused A/B tests embedded in production business workflows, translating experiment results into business-language impact summaries   Build and   maintain   adoption dashboards that track model coverage, influence rate, override rate, and time-to-adoption by function and brand   Produce quarterly per-model business impact reports that quantify margin lift, forecast accuracy improvement, cycle-time reduction, and sell-through impact   Diagnose adoption stalls by analyzing override analytics —   identifying   where and why humans deviate from model recommendations and routing structured findings back to model owners     Stakeholder Management & Internal Consulting   Build and   maintain   trusted relationships with business partners across Merchandising,   Me rchan dis e   Planning ,   a nd   Inventor y Man agement — acting as their primary point of contact for all things related to DS model adoption   Conduct structured discovery with business teams to diagnose adoption barriers, surface unmet needs, and develop tailored enablement plans by function and brand   Develop and deliver executive-ready presentations, model explainability briefs, and quarterly business impact reports for senior stakeholders up to VP and SVP level   Facilitate workshops, working sessions, and office hours that bring data science outputs to life for non-technical audiences   Proactively manage a portfolio of business relationships — tracking open issues, commitments, and follow-through with a high standard of reliability and responsiveness   Serve as the voice of the business back into the DS team, synthesizing stakeholder feedback and routing prioritized signal to model owners and engineers     Workflow Integration & Change Management   Partner with business users and DS domain leads to redesign human-AI workflows so that model recommendations are embedded naturally in existing tools — PLM, planning platforms, costing tools, and sourcing systems — rather than requiring users to change behavior   Train and coach business stakeholders on AI model interpretation,   appropriate use , and feedback mechanisms; build repeatable onboarding materials that scale across brands   Contribute to the institutional DS Enablement playbook, documenting what works, what   doesn't , and how to accelerate adoption for future model launches   Who You Are Requirements   3–6 years of experience in management consulting, customer success, or a client-facing analytics role; experience in a high-accountability, client-facing or internal consulting function is strongly preferred   Demonstrated ability to manage multiple senior stakeholder relationships simultaneously with a high standard of responsiveness, follow-through, and structured communication   Exceptional written and verbal communication skills — able to write crisp executive briefs,