PhD with 15+ years of industry experience in life sciences 10+ years in leadership roles within the Life Sciences software and data market Extensive hands-on experience or direct oversight in high throughput screening, preclinical toxicology, materials engineering, analytical development, or drug substance synthesis and manufacturing Delivered requirements for AI/ML-driven solutions Extensive hands-on experience with scientific data workflows and lab automation Exposure to FAIR principles and modern data architecture is a plus Exceptional communication and storytelling ability Prior experience in customer-facing, consulting, or commercial-scientific interface roles Worked in startup environments Created high performing teams Evidenced strong leadership skills while navigating difficult periods Coached and mentored Scientific Business Analysts and/or Scientific Data Architects Operated effectively in a fast-paced, team environment