Ankur Uttam is a data science, machine learning and AI executive who operates at the intersection of product, growth and strategy. Over more than 20 years across technology, gaming, and ecommerce, he has built and led high impact analytics and ML teams at companies such as PlayStation, Microsoft, LinkedIn, Facebook, eBay and Poshmark. As VP II of Data Science and Analytics at Poshmark, he is part of the executive leadership team, owning the data strategy that underpins growth, monetisation and user experience. He leads a global organization of 50+ data scientists and analysts working across product, ads, pricing, forecasting, marketing, operations and risk. His teams have delivered multi million dollar revenue and efficiency gains through initiatives such as marketplace pricing, recommender systems, personalization, full funnel attribution, media mix modeling, experimentation platforms, and anomaly detection for account security and policy enforcement. He has also driven data readiness for IPO and M&A, including privacy aware access, lineage and due diligence.
Beyond his operating role, Ankur is recognised as an inventor, advisor and thought leader in enterprise AI. He holds multiple US patents in attribution and data driven marketing, and frequently speaks and writes on topics such as the future of AI, building and scaling data science teams, and using data to transform customer experience and business strategy. He has advised startups and growth companies as a board and product advisor, helping founders design data and AI roadmaps that tie directly to P&L. A graduate of IIM Bangalore with executive education from Stanford Graduate School of Business, he combines deep technical and quantitative expertise with boardroom level communication, translating complex models and systems into clear narratives and decision frameworks for C suite leaders. His work consistently focuses on using AI as a practical lever for value creation rather than hype, with a strong emphasis on cross functional collaboration, talent development and responsible deployment.