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Cait Moran
Big Data - Leadership - AI/ML - Architecture - Strategy - Innovation - Engineering
Cait Moran is an experienced entrepreneurial leader with a solid background in data science, software engineering, and technical solution architecture.
She holds a Master of Science in Applied Statistics from DePaul University and Bachelor's degrees in Computer Science and Digital Media from Rollins College and the University of Central Florida, respectively.
Currently working as the Director of Data Science for AI Apps at Oracle, Cait has previously held positions at various organizations such as The University of Kansas, divvyDOSE (acquired by UnitedHealth Group & OptumRx), Label Insight (acquired by NielsenIQ), HERE Technologies, and Nikon.
With a knack for storytelling, public speaking, and problem-solving, she excels in translating complex technical concepts into actionable insights and strategies.
Cait Moran is exploring the intersection of human interactions with technology and the practical applications of artificial intelligence.
Her diverse professional experience spans roles in data science, software engineering, technical program management, solution architecture, and technical delivery leadership across multiple industries.
In addition to her corporate roles, Cait has also been involved in freelance consulting, web design, graphic design, and TV production coordination.
For more information, visit her professional website at https://caitmoran.com/.