At eBay, we're more than a global ecommerce leader — we’re changing the way the world shops and sells. Our platform empowers millions of buyers and sellers in more than 190 markets around the world. We’re committed to pushing boundaries and leaving our mark as we reinvent the future of ecommerce for enthusiasts.Our customers are our compass, authenticity thrives, bold ideas are welcome, and everyone can bring their unique selves to work — every day. We're in this together, sustaining the future of our customers, our company, and our planet.Join a team of passionate thinkers, innovators, and dreamers — and help us connect people and build communities to create economic opportunity for all.Role OverviewWe are seeking a Senior Manager, Data Science (Analytics) to lead analytics for eBay Live Buyer Experience — a real-time livestream commerce platform and a key pillar of eBay’s next-generation shopping experiences.eBay Live enables interactive, auction-driven shopping across Collectibles, Luxury, Sneakers, and Apparel, combining entertainment, discovery, and commerce in real time. As a relatively new product, eBay Live Buyer Experience presents a unique opportunity to define foundational analytics, shape product direction, and scale insights as the platform grows.This is a hands-on leadership role. You will personally drive complex, high-impact analytics while building and developing a team. You will work closely with product, engineering, design, and business leaders to ensure data and experimentation guide buyer experience, engagement, conversion, and long-term retention.This role is ideal for an analytics leader who thrives in early-stage, fast-moving environments, enjoys ambiguity, and can balance deep analytical work with team leadership and execution.Key ResponsibilitiesBuyer Experience Analytics Ownership (Hands-on)Own end-to-end analytics for eBay Live Buyer Experience, including:Buyer discovery, engagement, and session behaviorReal-time bidding, auction dynamics, and purchase flowsConversion, funnel performance, and drop-off diagnosticsBuyer retention, repeat participation, and lifetime valuePersonally lead complex analyses that shape early product and UX decisionsBuild analytical frameworks suited to real-time, event-driven user behaviorEnsure analytics outputs directly inform product prioritization and iterationFoundational Metrics & Product AnalyticsDefine and standardize core buyer experience metrics and success KPIsEstablish product analytics foundations, including funnels, cohorts, and experimentation frameworksBuild dashboards and self-serve tools to support rapid decision-makingPartner with engineering to influence event instrumentation and data quality from day onePeople Leadership & Team BuildingBuild, manage, and develop a high-performing analytics team supporting Buyer ExperienceProvide hands-on mentorship through analysis, modeling, and insight reviewsSet a high bar for analytical rigor, speed, and product intuitionHire and develop talent capable of operating in ambiguity and fast iteration cyclesExecution, Prioritization & Operating ModelTranslate evolving buyer experience strategy into a clear, prioritized analytics roadmapBalance immediate product questions with longer-term analytics and measurement investmentsEstablish lightweight processes that enable speed while maintaining analytical integrityDrive alignment across stakeholders on metrics, tradeoffs, and success criteriaAdvanced Analytics & ExperimentationLead and contribute to advanced analytics such as:Buyer segmentation and personalization opportunitiesEngagement and conversion propensity modelingFeature impact measurement and experimentationFunnel optimization and UX diagnosticsPartner closely with product teams to design and interpret experimentsAI-Enabled & Real-Time InsightsExplore and apply AI and LLM-based analytics to enhance buyer diagnostics and insight generationExperiment hands-on with automated insight and real-time monitoring solutionsScale AI-driven analytics approaches as eBay Live growsStrategic Insights & Executive CommunicationSynthesize insights across buyer behavior, product performance, and experimentation into clear narrativesInfluence product roadmap, UX strategy, and investment decisions through data-backed recommendationsAct as a trusted analytics advisor to eBay Live leadershipCross-functional CollaborationPartner closely with product, engineering, design, and marketing teamsAlign buyer experience analytics with broader marketplace and growth strategiesRepresent Buyer Experience analytics in cross-functional and leadership forumsRequired Qualifications11–15 years of experience delivering analytics and data science solutions, including product or growth analytics3–6+ years of experience managing and developing analytics or data science teamsStrong hands-on expertise in Python and SQL, with the ability to personally own complex analysesDeep experience with product analytics, experimentation, and behavioral dataProven ability to define analytics frameworks and metrics from scratchExperience working with large-scale, event-level or real-time datasetsStrong problem-framing skills in ambiguous environmentsExcellent communication and executive storytelling skillsAbility to balance speed, rigor, and scalabilityPreferred QualificationsExperience with livestream, real-time, marketplace, or interactive commerce platformsFamiliarity with modern data stack tools (e.g., Snowflake, Airflow, dbt)Experience applying AI/LLM-based analytics in product or decisioning contextsExposure to personalization, recommendations, or UX analyticsExperience working in early-stage or 0→1 product environmentsWhat You’ll GetA foundational leadership role in one of eBay’s most innovative buyer experiencesOpportunity to define and scale analytics for a real-time commerce platformA hands-on role with direct influence on product direction and user experienceHigh visibility and ownership in a fast-growing, innovation-driven environmentA chance to shape how data and AI guide eBay Live’s buyer journeyPlease see the Talent Privacy Notice for information regarding how eBay handles your personal data collected when you use the eBay Careers website or apply for a job with eBay.eBay is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, sexual orientation, gender identity, veteran status, and disability, or other legally protected status. If you have a need that requires accommodation, please contact us at talent@ebay.com. We will make every effort to respond to your request for accommodation as soon as possible. View our accessibility statement to learn more about eBay's commitment to ensuring digital accessibility for people with disabilities. The eBay Jobs website uses cookies to enhance your experience. By continuing to browse the site, you agree to our use of cookies. Visit our Privacy Center for more information.
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