About
I have spent my career building healthcare data products from three sides of the table: provider analytics, healthcare market intelligence, and commercial data platforms. The common thread is simple: data work only matters when it changes decisions.
HCA Patient Experience Platform
This was the provider-side foundation: a patient experience analytics platform used across one of the largest US health systems. It taught me that healthcare analytics products have to respect the operating model of hospitals, not just the schema of the data warehouse.
ReviveHealth Market Profiler
This was the agency and strategy side: turning healthcare market data into a product that strategic planning, growth, and executive teams could buy, adopt, and use. It sharpened the commercial side of product leadership: packaging, positioning, proof, and repeatability.
NeuroBlu Analytics
This is the commercial platform side: building a healthcare analytics product from zero to meaningful enterprise revenue. NeuroBlu taught me how to turn sensitive clinical data, real-world evidence workflows, quality constraints, sales needs, and product strategy into one operating system.
Across all three, the hard part was not making another dashboard. The hard part was designing decision infrastructure: the product habits, data quality expectations, stakeholder loops, and operating cadence that move teams from insight to action.
I understand the work beneath the interface: messy source data, modeling choices, quality gaps, measurement, and the cost of weak evidence.
I turn that work into products people can buy, use, trust, and improve through roadmap discipline and customer-backed prioritization.
I have built inside the constraints that make healthcare different: providers, clinical data, compliance, enterprise buyers, and operational complexity.
GenAI now compresses the cycle: strategy drafts, prototype builds, research synthesis, evaluation loops, and internal operating systems.
The durable leverage is developing analysts, data leads, and PMs into operators who can carry product judgment themselves.
My public model for this work is the Data Product Operating System: people, process, product, and platform organized around decisions.
Product Leadership
I build and own commercial healthcare data products, with enough technical depth to understand the data and enough product discipline to make tradeoffs visible.
Data Team Development
I help data teams become product teams: clearer ownership, better briefs, stronger prioritization, and communication that executives can act on.
AI-Native Builds
I use agent-assisted execution to build and test products like ThinkHaven, InstantDoc, and PM Archetype while turning the process into reusable operating habits.
Writing and Teaching
I publish the operating model through DPOS, healthcare data product essays, and practical training for leaders who need AI to change real work.
I live in North Carolina with my wife and family. Outside work, I am usually in a local coffee shop, on a soccer field, building something in public, or trying to make the next decision a little clearer than the last one.
The fastest way to understand the work is to inspect the proof.
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