At NYC Health + Hospitals, the country's largest public health system, I own the data and AI product function, leading a team of 12 product managers, owners, and designers through three team leads to build the products that help 45,000 staff serve more than a million patients a year across 70+ sites.

At AbbVie, I rebuilt the international commercial data platform as a SaaS-style product organization — treating country affiliates as API consumers, modeled on the Stripe developer experience — spanning 50+ countries, 40+ engineers and $12B+ in annual pharmaceutical sales.

I spent eight years at Strata Decision Technology building analytics products for 2,000+ hospitals — growing two separate SaaS products 32% YoY through customer-centric roadmaps, ML-based data normalization across 400+ health systems, and a Snowflake Data Sharing strategy adopted by four of the ten largest US health systems.

At Truven Health Analytics (now IBM Watson Health), I advised health plans, employers, and providers on payment methodology while launching a bundled payment product that landed a Fortune 100 employer and leading academic medical centers — managing an $8MM portfolio backed by data from 200M+ lives.

I began my career in Johnson & Johnson's competitive IT Leadership Development Program, rotating through three companies — consulting bariatric surgery programs on-site at 17 hospitals, building a global R&D supplier strategy for J&J's worldwide IT organization, and designing agile workflows for the HealthMedia ReFusion product launch — and it was those 15 months in bariatric clinics, meeting patients directly, that gave me a conviction about frontline discovery that'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 lead data and AI product organizations in healthcare. Over 13 years in B2B SaaS, I've grown products 32% a year, launched my company's first ML-powered data products to $500K ARR in six months, and built the platforms underneath: medallion-architecture data lakes, RAG pipelines, agentic LLM workflows.

I run cross-functional teams of data scientists, engineers, designers, and developers, and I treat data products like APIs — composable, reliable, built for adoption. Today I set analytics and AI strategy for the largest public health system in the country.

Based in Chicago. Reach me at kevinclamb@gmail.com or on LinkedIn.