MARK LONG
Principal
Dr. Mark Long is a product and technology innovator with over 20 years of leadership experience succeeding in high ambiguity environments by bringing together customer needs, technology capabilities, business model innovation, and human-centered design.
Respected for long-term thinking and building learning organizations, Mark excels at reframing the desired outcomes to identify new avenues to customer success. Mark’s passion is creating customer-centric products and experiences that set a new bar for the market with an agile "learn by shipping" approach to digging in and getting stuff done.
Mark's career started in algorithms and robotics for NASA/JPL and Caltech (Ph.D.), he led engineering at two startups, one in B2C financial services, and one in B2B expert systems (both acquired) and the was the CTO at a growth stage turnaround (Zynx Health) expanding beyond engineering to also lead product design and strategy.
At Zynx, his team built the first machine learning product for medical terminology translation for evidence-based medicine. While at Amazon Global Logistics he was recruited to build the digital innovation team at Providence St. Joseph Health ($24B), where his team launched products to improve the convenience, access, and choice for healthcare options, including a digital platform for new clinics embedded in Walgreens Retail locations. In this role, Mark had general management responsibility for product, technology, operations, and sales for consumer and acute care telehealth (Tele-Stroke, Tele-Hospitalist, and Tele-Psychiatry).
Mark is has been the CTO of three companies spanning B2C Financial Services, B2B Enterprise SaaS, and Healthcare IT, as well as having held senior leadership roles at two large enterprises (>$25B). His consulting practice has spanned interim-CTO/CIO/CPO, innovation strategy, digital/agile transformation, ML product development, and emerging leader coaching. Mark started his career in algorithms and robotics R&D at NASA/JPL and holds a MS from Stanford and PhD from Caltech.