Xiao Jiang
VP, Analytics @Fanatics
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WORK HISTORY
VP, Analytics @Fanatics
Los Angeles, CA, US
Build and scale centralized analytics teams for three fast-growing businesses – live stream shopping (fanatics.live), online marketplace (fanaticscollect.com) and e-commerce platform (topps.com)• Developed and drove analytics strategy, roadmap, and org build, addressing gaps on team capability, tech fragmentation, capacity-demand mismatching and talent turnover• Empower all business functions with high-quality analytics – reporting, insights, recommendations, forecasting, product launch reports, competitor analyses, predict modeling, testing & measurement• Revamped analytics working model through resetting stakeholder partnership models and rolling out Agile ways of working, significantly boosting team productivity and stakeholder satisfaction• Fixed and re-built stronger analytics foundation, driving migration to centralized BI platform, setting consistent standards and formats for analytics deliverables, and establishing clear metric definitions• Tested and adopted AI-powered analytics tools, unlocking self-service analytics for business stakeholders, and increasing analytics team’s productivity and capability
EDUCATION
University of Southern California
Master's degree, Industrial and Systems Engineering
Zhejiang University
Bachelor's degree, Industrial Engineering
SKILLS
ABOUT XIAO JIANG
Seasoned leader and expert in strategy and analytics, with experience from both top-tier consulting firm BCG and Fortune 500 companies across retail, consumer, finance, tech & entertainment industriesExperienced in building and scaling high-performing analytics teams, empowering executives and business functions with analytics across strategy, product, growth, marketing, commercial & operationsDeep expertise in building data analytics strategy, products and solutions, delivering strategy roadmap, actionable insights, AI/ML models, AI-powered analytics tools, automation & visualizationTopic/technical expertise: enterprise strategy, consumer analytics, personalization, machine learning, data science, data engineering, AI-powered analytics, experiment design & testing, BI & visualization
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