The point of AI in healthcare isn't to cut cost. It's to expand capacity.

NYC Health + Hospitals runs 70+ sites. I lead the 12 product managers, product owners, and designers who build its data and AI tools. We start AI in the revenue cycle, where results show up in dollars within months, and put what it recovers toward clinical AI.

I rebuilt AbbVie's international commercial data platform around the people who use it: 50+ country affiliates pulling data through APIs, modeled on how Stripe serves developers. 40+ engineers built it, and $12B in annual sales runs on it.

Over eight years I built analytics products for 2,000+ hospitals. I grew two SaaS products 32% a year, shipped machine-learning data normalization to 400+ health systems, and led a Snowflake data-sharing strategy that four of the ten largest US health systems adopted.

At Truven (now IBM Watson Health) I advised health plans, employers, and providers on how to pay for care. I also launched a bundled-payment product, an $8M portfolio built on claims data from 200 million lives, that won a Fortune 100 employer and leading academic medical centers as customers.

I started in J&J's IT Leadership Development Program, rotating through three companies in two years. The rotation that mattered: 15 months on-site at 17 hospitals, working with bariatric surgery programs. I sat in patient support groups and watched people describe what the clinic's process actually felt like. That's where I learned to start product work where the work happens. I've done it that way in every role since.

How to turn scattered HL7, claims, and clinical feeds into one canonical data model, so a stretched public system can see its patients in real time. No full modernization required first.

Joined leaders from Mayo Clinic, UPMC, and AKASA. I argued that a public system should judge AI by how many more of its million patients it reaches with the staff and space it has, and should fund clinical AI with revenue-cycle wins. Read the recap.

I build product teams as well as products. I hire and coach product managers, set roadmaps against outcomes, and judge every launch by whether people use it.

I've built products on Snowflake, Palantir Foundry, and retrieval-augmented and agentic LLM systems, fed by claims, HL7, FHIR, and hospital finance data.