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Tech Ladies Talk: Daisy Qian on Leading Data and AI at Spade
What does it take to turn AI into real business value, build a team in a fast-moving field, and grow your career in data and AI? In this edition of Tech Ladies Talk, Daisy (Yinyue) Qian, Head of Data and AI at Spade, shares lessons from her career at FINRA, American Express, Brex, and Spade. She discusses how to identify AI use cases worth building, the skills that help data professionals stand out, and how to lead teams through uncertainty while balancing experimentation with long-term impact. Read on for Daisy’s insights on building a career in data and AI, leading teams, and putting AI to work on real business problems. If you like what you read and want to work on these kinds of challenges yourself, Spade is hiring! Explore opportunities on Daisy’s team and beyond at spade.com/careers.




