Principal Data Lead — Provider Intelligence

About J2 Health

J2 Health is transforming how healthcare organizations design and manage provider networks. They combine best-in-class data with purpose-built software to help healthcare organizations build smarter networks that meet patients' medical and personal needs.

About The Role

We're hiring a Principal-level data leader to own and build J2's provider-data "recommendation engine." This is a foundational role for the function. You'll set the vision for how J2 turns messy provider data into trustworthy, customer-facing data products; you'll be hands-on building it from day one; and you'll grow and lead the team behind it as it scales.

What you'll own

• The provider-data recommendation engine end to end, from the conceptual model of "what is true about this provider" through to the recommendations customers act on
• Distilling a source-of-truth provider dataset from many noisy, disagreeing sources, and being accountable for whether the output is right and useful, not just whether the pipeline runs
• Bringing LLMs to bear on ambiguous data-judgment problems, directing AI coding tools to do the building so you and your PM partner can spend your energy on the hard judgment calls
• Shipping iteratively and putting data products in front of customers, then sharpening them based on what actually drives value
• Building and leading the function over time, hiring behind you and scaling a team as the work grows

What you know

• A strong, opinionated point of view on how to apply LLMs to ambiguous data-judgment problems
• Deep familiarity with the realities of messy, multi-source data and what it takes to reconcile it into something trustworthy
• Enough business and product context to connect data work to customer value
• Knowledge and experience with our Tech stack is relevant but not gating, conceptual skills matter more than any particular stack

What you can do

• Look at conflicting data and reason quickly toward an output that makes sense to a human: speed, taste, and product sense are the qualities we're hiring for
• Productize your own work: turn a data judgment into a shipped, customer-facing product, not an internal dashboard or a research artifact
• Build hands-on today (strong Python; comfort across a modern data stack) while architecting for a team to scale behind you
• Direct AI coding tools effectively so the leverage shows up in how much you ship

What you're like

• Product-minded, not research-minded. You're energized by "how do I make sense of this messy data and ship something useful," not by abstract modeling for its own sake
• Hungry and high-agency. This is the defining trait. You take an open-ended problem and run
• Founder energy. You want to do the work now and build the function — both, not one
• Commercially oriented. You instinctively ask whether the result actually makes sense and moves the customer, not just whether the job succeeded