Hiring: Sr Analyst, Data Science Enablement Company: Gap Inc. Location: San Francisco, CA Job Posted Time: 2026-09-16 13:00:47 Target Skills & Keywords : A/B Testing, Change Management, Embedded Systems, MLOps, Product Lifecycle Management, Python, SQL, Stakeholder Management About the job Experience: •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 Required Skills: •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, Inventory Planning, Sourcing, Design, and Costing — acting as their primary point of contact for all things related to DS model adoption Qualifications: •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, structure a compelling slide, and present confidently to VP-level audiences without relying on jargon •Comfort operating in ambiguity: able to take an open-ended business problem, frame it clearly, and drive it to a concrete recommendation or deliverable without constant direction •Sufficient data literacy to work credibly alongside a Data Science team — comfortable with concepts such as model accuracy, confidence intervals, feature importance, A/B testing, and business KPIs; does not need to build models but must be able to interrogate and interpret them •Proficiency in SQL and/or Python for pulling data, building adoption metrics, and supporting light analytics; experience with Tableau, Looker, Power BI, or equivalent for dashboard development •Operational familiarity with retail business processes — particularly Merchandising, Inventory Planning, Allocation, or Sourcing — is a meaningful advantage; multi-brand or omnichannel experience is a plus •High-agency work style: proactively identifies blockers, manages up clearly, and brings a proposed solution alongside every problem •Operational familiarity with MLOps concepts (model cards, drift monitoring, override analytics) is a plus; experience partnering with Data Science or Engineering teams in a previous role is an advantage Compensation: •$117,700 - $153,000 / year •One of the most competitive Paid Time Off plans in the industry Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!