Siddharth Shah is a builder and innovator who has spent nearly two decades at the intersection of data, machine learning, and AI. He has helped some of the world's most influential technology companies unlock their full potential through the power of data. He currently serves as Vice President of Data, Analytics and AI at Palo Alto Networks, where he leads a multidisciplinary organization of data engineers, data scientists, and product managers, pioneering agentic AI solutions and building next-generation data foundations for one of the world's leading cybersecurity companies. A trusted partner to C-suite executives, Shah has a rare ability to bridge deep technical expertise with business impact, turning ambitious AI and ML ideas into systems and decisions that move entire organizations.
Prior to Palo Alto Networks, Shah served as Vice President of Data Science at New Relic, where he built and scaled the company's data science capability across product, growth, GTM, and finance. Earlier, he held leadership roles at YouTube and Google Maps, and spent over seven years at Adobe, where he created and scaled the company's enterprise analytics and data science function from scratch. He began his career at Efficient Frontier, one of the earliest ad-tech firms to apply machine learning to advertising optimization, which was later acquired by Adobe in 2012.
Shah holds a PhD in Biomedical Engineering along with Master's degrees in Electrical Engineering and Biomedical Engineering from the University of Michigan,.