Richard Sheng is a data and AI product leader with 11 years of experience building and scaling high-impact analytics and machine learning products across Fortune 500s and startups, currently leading Data & AI product at Dayforce in New York. He has driven global transformations—from heading Z-Tech data at AB InBev and cutting overdue accounts in half via an algorithmic credit engine, to directing enterprise analytics at Verizon—while combining product vision with hands-on technical execution. A former Techstars founder and AI builder, he blends entrepreneurial grit with corporate rigor, having launched platforms that improved revenue through user-level ML and programmatic experimentation. Equally comfortable with stakeholder strategy and engineering details, he has led distributed teams across the U.S., Latin America, India and China and operates fluently in Mandarin and English. His background in finance (NYU Stern MBA) and early engineering roots give him a rare cross-functional lens for turning complex business problems into measurable data products.
11 years of coding experience
14 years of employment as a software developer
ABI Analytics Executive Program, ABI Analytics Executive Program at Massachusetts Institute of Technology
HKUST Business School
MBA, Finance, General, MBA, Finance, General at NYU Stern School of Business
Electronics Engineering, Engineering, Electronics Engineering, Engineering at Simon Fraser University
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