NYC Health + Hospitals runs 70+ sites and serves more than a million New Yorkers a year. I own the data and AI product function — 12 product managers, owners, and designers building the tools that help a stretched public system do more with what it has.

I rebuilt AbbVie's international commercial data platform to work like a SaaS product: country affiliates as API consumers, modeled on Stripe's developer experience. 50+ countries, 40+ engineers, $12B in annual sales riding on the platform.

Eight years building analytics products for 2,000+ hospitals, growing from PM to Director. I grew two SaaS products 32% a year, shipped ML-based data normalization across 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 payment methodology, and launched a bundled-payment product — an $8M portfolio built on claims data from 200 million lives — that landed a Fortune 100 employer and leading academic medical centers.

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 that discovery happens at the frontline — and it's driven every product role since.

On turning fragmented HL7, claims, and clinical feeds into the canonical data model that lets a stretched public system see and serve more patients in real time — without waiting for full modernization first.

Joined leaders from Mayo Clinic, UPMC, and AKASA to argue that the point of AI in a public system isn't to cut cost but to expand capacity — reaching more of the million New Yorkers who depend on us with the finite staff and space we have, and funding clinical AI with the revenue-cycle wins that pay for it. Read the recap.

I build data and AI product organizations, not just products — hiring and coaching product managers, setting outcome-based roadmaps, and holding the line that adoption is the only metric that matters.

I'm at home in the modern data stack — Snowflake, Palantir Foundry, retrieval-augmented and agentic LLM systems — and in the messy realities of healthcare data: claims, HL7, FHIR, and hospital finance.