Mike Pino, PhD, is the managing director of Problem Solutions, where he is leading the turnaround of a long-standing software development firm into an AI products and solutions company focused on improving human and enterprise performance. Over more than 25 years at the intersection of technology, learning, and organizational performance, he has built and scaled platform-based products and AI-enabled solutions across higher education, executive education, publishing, and global enterprises.
In his current role, Pino has pivoted offerings toward AI products and productized advisory services for clients across commercial and government/defense contexts, while strengthening commercial positioning and delivery discipline to support longer-term, outcome-based engagements. His work frequently blends product strategy, engineering fluency, and computational-linguistics-informed design to create scalable systems that expand access, improve capability development, and drive measurable performance outcomes.
Previously, Pino served as a partner in PwC’s Organization and Workforce Transformation practice, where he helped stand up offerings focused on workforce upskilling and AI-enabled performance solutions and led technology due diligence on learning systems in deals work. He also held senior leadership roles including Global Learning Partner (CLO) for Cognizant Digital Business and Digital Learning Leader at GE’s Crotonville leadership institute, where he helped reimagine leadership development through award-winning digital platforms and recommendation-based learning tied to feedback and performance workflows. Earlier in his career, he led technology innovation for Harvard Business Publishing’s Corporate Learning division, contributing to major digital product transformations including Harvard ManageMentor. He has been an entrepreneur at heart, with a successful exit and two successful companies launched.
Pino serves as an advisor to executive education institutions including the University of Pennsylvania College of Liberal and Professional Studies (among others), and he has participated in industry standards efforts supporting data exchange between learning and HR systems. He is a frequent speaker and contributor on the future of work and AI in learning and performance, and his forthcoming book HumanCorps: Redesigning Organisations for the Wisdom Age (Routledge, July 2026) examines how organizations should evolve as agentic AI becomes mainstream. He earned a PhD in English with a specialization in computational linguistics from the CUNY Graduate Center.
