Technology, data, and AI leadership backed by real operator experience.
I work with executives, founders, and leadership teams that need clearer technology direction, more control over their information and data, and more practical AI thinking. The goal is not to add noise. It is to make the next decision clearer and the next move more useful.
Bio
A mix of strategy, systems thinking, and hands-on technology and data leadership.
James Casavant is a technology, data, and AI leader with more than two decades of experience building and scaling enterprise software solutions and the information systems that run beneath them. His work sits at the intersection of technology, data, operations, and business strategy, helping organizations turn complex systems and large volumes of data into practical advantage.
A core belief runs through the work: data is one of an organization's most valuable and most underused assets. Managed well and paired with AI, it becomes a source of insight, efficiency, and profit — not just storage cost. He has worked across startup, growth-stage, and acquisition environments, with deep experience in healthcare supply chain, enterprise software, product delivery, and applied AI. Today, his work focuses on helping organizations build better systems, manage their information and data with intent, and put AI to work enhancing and monetizing what they already own.
- 20+ years of leadership across software development, technology strategy, and data-driven systems
- Former CTO of TrackCore, helping scale the company from startup into a healthcare supply chain leader
- Built and led a 20+ person technology team within a 60+ employee organization
- Current VP of AI Research and Application, leading applied AI strategy, data enablement, and governance
- Deep experience across the Microsoft stack, enterprise architecture, data and information systems, and product delivery
- Operator credibility across startup, growth-stage, and acquisition environments
Background
Why “Infinitely Many Hats.”
The name is not an accident. The career path has not been a straight line, and that is exactly the point. It started with writing code at age 12 and studying economics — where a published thesis on the drivers of revenue and marketing spend in the motion picture industry became an early, hands-on exercise in data analysis and statistical modeling, long before anyone called it data science or AI.
A graduate degree in theatre administration added something engineering rarely teaches: running a production means wearing every hat at once — budgets, operations, people, marketing, and logistics — which became a foundation for real business and non-profit management leadership. Add a range of interests that runs from the stage to the tasting glass (a Certified Beer Server on the Cicerone® track), and the through-line becomes clear: comfort wearing many hats, and a habit of connecting ideas across domains that most people keep separate. That cross-disciplinary instinct is what turns technology, data, and AI into decisions a business can actually use.
- Started programming at age 12
- BA, Economics — Claremont McKenna College
- MFA, Theatre Administration — Wayne State University
- Published researcher in applied data analysis
- Certified Beer Server (Cicerone® program)
Industries served
Strong fit for companies where technology and data decisions affect growth, execution, and value.
The best fit is usually an environment where technology and data are not just support functions. They are part of how the company grows, differentiates, and operates more effectively.