A technology leader who pairs C-suite strategy with hands-on engineering — directing enterprise architecture, cloud, security, and AI at scale, with two decades of applied-AI innovation across healthcare, government, and the private sector.
Michael C. Young is a transformational technology executive with more than 20 years of progressive leadership across healthcare, government, and the private sector. He began writing software at age 10 and has spent his career at the intersection of people and technology — pursuing clinical training as a Certified Nursing Assistant, Phlebotomist, and Surgical Technician before uniting healthcare and engineering.
Today he directs enterprise architecture, cloud, security, and AI for one of the nation’s largest academic health systems, owning a $47M budget and a 28-person organization serving more than 50,000 users. A hands-on innovator, his applied-AI work spans two decades — from a self-refining personalization engine built at Microsoft Cyber Labs to a production enterprise AI-agent ecosystem — always guided by strong governance, disciplined stewardship, and a focus on outcomes.
For nearly a decade, Michael has led enterprise technology inside one of the nation’s largest academic health systems — pairing cutting-edge technology with creativity to reshape how care is delivered, guided by the defining equation of modern healthcare: lower cost, higher quality.
Brought governed enterprise AI to the front lines — a four-agent Copilot Studio ecosystem, an Azure OpenAI intelligence layer, and a Microsoft & Copilot Center of Excellence — putting modern, trustworthy AI into the hands of clinicians and staff.
Drives efficiency through automation, orchestration, FinOps, and licensing optimization. The Copilot Rapid Deployment alone delivered 77% usage growth and FTE-equivalent time savings, with operational response times engineered from ~2 hours to under 15 minutes.
Elevates the consistency and speed of care support — standardizing answers, accelerating response, and freeing clinicians from administrative friction so they can focus on patients.
The through-line is creative problem-solving: two decades of hands-on engineering fused with executive strategy to imagine what’s next — and to govern innovation so it scales safely and securely across a 50,000-user enterprise.
A continuous arc of turning emerging technology into production capability — long before today’s generative-AI wave, and leading it now.
A three-tier, self-refining recommendation engine that modeled user personality from taste and preferences, predicted the choices a user would be most inclined to make from prior patterns, and continually refined itself — an early demonstration of adaptive machine learning.
An AI application that learned obsolete, unsupported mainframe languages such as CA-IDEAL by analyzing their machine-language output, then used .NET CodeDOM to automatically convert legacy applications into modern VB.NET and C# — a production demonstration of AI-driven modernization.
Architected a four-agent ecosystem on Microsoft Copilot Studio and Azure OpenAI — automating intake, knowledge delivery, response drafting, and executive intelligence. Engineered to cut response time from ~2 hours to under 15 minutes and scale toward a 500+ provider statewide deployment.
Authored the enterprise strategy unifying Microsoft 365, Azure, Power Platform, Defender, Purview, and Copilot under one governed, cost-disciplined operating model. The Copilot Rapid Deployment delivered 77% usage growth and measurable, FTE-equivalent time savings.
Progressive leadership across enterprise healthcare IT, municipal and state government, and technology consulting.
Sets enterprise IT strategy and leads digital transformation across a 50,000+ user environment. Owns a $47M budget and a 28-person organization spanning cloud, collaboration, security, and service management. Architected an enterprise AI-agent ecosystem and authored a Microsoft / Copilot Center of Excellence.
Led the application-development organization across the full SDLC for large-scale, citywide software-integration programs, and partnered with the CTO and CFO on RFP strategy, contracts, and executive presentations.
Directed development and enterprise architecture for citywide land-management systems, built the Justis .NET AI code-modernization application, and automated assessors’ property-tax data and reporting to the State of Indiana.
Owned the entire IT organization and P&L, designed and operated all networks, Active Directory, and Exchange, and partnered with Microsoft on CRM and SQL pilot programs.
Advised Governors, Mayors, and CEOs on digital transformation across government, finance, and public services — with a 100% delivery-success record over 20 years — and built the MetroQuest AI personalization engine.
Executive strategy and enterprise architecture, grounded in genuine engineering depth.
Open to executive technology leadership opportunities. The fastest way to reach me is by email or phone.