Product Data Analyst

About the Role

Hippocratic AI is looking for a Senior Product Data Analyst to shape product strategy and measure the clinical, operational, and financial impact of our healthcare AI products. This isn't a dashboarding role — you'll help define what "good" looks like for AI clinical agents (including critic frameworks and quality criteria), not just track adoption of a finished product.

You'll partner with Product, Engineering, Customer Success, clinical teams, and leadership to answer questions like: What should we build? What's driving or limiting adoption? What outcomes are we creating for patients and customers? Where should we invest next — and how do we prove it with data?

The ideal candidate moves comfortably from an ambiguous business question to structured analysis to an executive-ready recommendation, and has the business judgment to know which questions matter most.

What You'll Do

Define how we measure success

• Partner with clinical and product teams to define AI agent performance criteria, including critic frameworks and quality metrics.

• Define north star metrics and measurement frameworks that guide product strategy — not just measure what already exists.

• Design analytical approaches to evaluate product changes and program impact, including in real-world settings where randomized experiments aren't possible.

• Conduct pre- and post-launch analysis to determine whether initiatives achieved their intended outcomes.

Turn data into decisions and dollars

• Translate ambiguous product and business questions into structured analysis and clear recommendations that influence roadmap and prioritization.

• Build business cases and ROI models connecting product usage to operational efficiency, cost reduction, capacity, and patient/customer outcomes.

• Partner with technical teams to improve instrumentation so the data behind these decisions is reliable.

Represent the work — internally and with customers

• Present findings and recommendations (not just metrics) to Product leadership and executives.

• Sit directly in customer and partner conversations to represent product data, outcomes, and ROI — this isn't just internal deck prep.

• Serve as a strategic analytics partner across Product, Engineering, Customer Success, and GTM, and help raise the analytical bar as we scale.