Summary
Colin Gerber is a data and analytics leader with 12 years of experience shaping product, monetization, and service analytics at Intuit, now directing Data Science for Payments, Capital, Workforce Management, and Bill Pay for Small and Mid-market businesses. He builds and scales high-performing analytics organizations, having led teams of 40+ analysts and driven experimentation, ML, and AI-enabled platforms to inform product and business strategy. Comfortable taking big swings, he emphasizes rapid prototyping, financial modeling, and iterative learning to launch high-growth products and services. His background bridges rigorous technical roots in Python, SQL, and scientific analysis with practical business impact from TurboTax monetization to Live Services. Based in California, he combines a UC Berkeley MIMS and a biopsychology BS to bring analytical depth and cross-disciplinary curiosity to complex product challenges. An operator who thrives on failing fast and iterating, he focuses on enabling data-driven decision making across large, cross-functional organizations.
12 years of coding experience
13 years of employment as a software developer
MIMS Master of Information Management and Systems Information Technology, MIMS Master of Information Management and Systems Information Technology at UC Berkeley School of Information
BS Biopsychology, BS Biopsychology at UC Santa Barbara