Clinical Intelligence Product Executive · VP / Head of Product · Chicago & Remote
Clinical Intelligence Product Executive
I'm the product executive you hire when your organization knows more than it's currently capable of acting on.
Résumé →100+ hospitals with decision rulesML model serving 35K+ physiciansAuthored HIPAA compliance policy4 programs with automated triage6 published open standards1,200+ physicians served
I reduce the gap between what an organization knows and what it actually does.
The pattern across Epic, Doximity, Transcarent, CancerCompass, and current work is consistent: recognizing when an organization's decision model no longer matches reality — and designing products that help close that gap. I reduce the gap between what an organization knows and what it actually does.
I build decision systems: workflows, evidence, routing, provenance, evaluation, escalation, accountability, and human override. Healthcare has the hardest decision systems — high uncertainty, high regulation, high consequence, fragmented knowledge, institutional inertia. AI is making those systems more necessary, not less.
What looks like a single product is usually an architecture decision. Doximity Dialer required identity infrastructure before it could power trusted telehealth. Transcarent's specialty-care routing required shared decision infrastructure across four clinical programs. Epic's clinical decision rules required institutional workflow configuration adopted across 100+ hospital go-lives.
I also run the business around the product — market selection, pricing, revenue impact, portfolio tradeoffs, customer segmentation, investment decisions. At Doximity, Talent Finder reached $5M in revenue with 60% YoY growth. At Transcarent, I led product across four specialty-care programs simultaneously. At Andwise, I raised $240K and built the customer base from zero — and wound the company down in 2024 when the business didn't sustain.
My current work — NextConsensus, Refract, and Ethotechnics — builds the evaluation, provenance, and governance infrastructure that makes enterprise AI trustworthy. NextConsensus detects when medical evidence has shifted enough to change a decision. Refract traces when cited sources silently change. Ethotechnics defines how to deploy AI safely in regulated settings. The Andwise lesson shapes how I approach this work: the product and the business have to be designed together.
What I'm unusually good at
Seeing the underlying decision problem
Reframing from 'how do we automate this?' to 'what decision is actually being made?' — and whether the organization's decision model still matches reality.
Bridging technical and institutional realities
Working at the boundary between what models can do and what organizations will adopt — where great technology stalls without enterprise trust.
Turning abstract ideas into operating mechanisms
What gets logged, who approves, when does a human intervene, what evidence changes behavior — product thinking expressed as operational systems.
Thinking in systems rather than features
Redesigning the environment the roadmap operates within — workflows, evidence, routing, provenance, evaluation, escalation, accountability.
Architecting platforms, not features
What looks like a single product is usually an architecture decision — identity infrastructure behind trusted telehealth, shared decision infrastructure across care programs, institutional workflow architecture adopted across 100+ hospitals.
Owning the business around the product
Market selection, pricing, revenue impact, portfolio tradeoffs, customer segmentation, investment decisions. CEOs hire executives who improve businesses, not just products.
Organizations I've worked with
Major product wins
100M+virtual visits (cumulative since launch)Doximity Dialer — per FY2022 10-K
35K+physicians surveyedLargest national compensation survey
6published open standardsEthotechnics AI deployment standards
Leadership scope
4specialty-care programs managed simultaneously
6person team built from a half-FTE search function
$5Mrevenue owned, 60% YoY growth (Talent Finder)
$2Msoftware development execution directed
50+physician advisory board convened
$240Kraised as co-founder and CEO
3PM and Senior PM direct reports managed and mentored
The mandate I lead
I lead product teams building clinical intelligence, evidence systems, and AI-enabled healthcare workflows — and I own the business around them.
My role is to turn an uncertain technical capability into a product portfolio: define where to compete, set product and evaluation standards, align clinical, engineering, design, and commercial teams, make pricing and investment tradeoffs, and create the operating cadence required to deploy safely at enterprise scale.
Clinical software fails at adoption more often than it fails at accuracy. Organizations adopt AI when they trust the operational system surrounding the model — not merely the model itself. That gap is most of the work. Read the method →
What I would lead
Three mandates I'm prepared to own — where my operating history and current work reinforce each other.
Clinical intelligence products
Products that help clinicians and care teams make better decisions when the evidence is uncertain — decision support, care routing, triage, and workflow AI that preserve human authority.
Abridge · Equip · Get Well · ConcertAI
Evidence and decision systems
Products that detect when the evidence has moved enough to change a decision — evidence intelligence, knowledge platforms, and regulatory foresight for consequential healthcare choices.
H1 · Atropos Health · OpenEvidence · Flatiron Health
AI deployment and trust platforms
Evaluation, monitoring, escalation, and governance systems that make AI dependable in production — turning technically plausible solutions into institutions-trusted products.
One flagship product and two supporting mechanisms. NextConsensus tracks when medical evidence shifts. Refract detects when cited sources change. Ethotechnics defines how to deploy AI safely in regulated settings.