Lead Product Data Analyst

Hippocratic AIMenlo Park, CA
Onsite

About The Position

Hippocratic AI is looking for a Lead 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.

Requirements

  • 5+ years in product analytics, product strategy, data analytics, business strategy, or management consulting.
  • Bachelor's degree in a quantitative or analytical discipline (Business, Economics, Finance, Statistics, Data Science, CS, Engineering, or related).
  • Advanced SQL and demonstrated ability to independently analyze large, complex datasets; working Python proficiency preferred.
  • Demonstrated experience using data to influence product strategy, prioritization, or roadmap decisions.
  • Experience with product analytics/BI tools (Looker, Tableau, Metabase, or similar).
  • Design analytical approaches to evaluate product changes and program impact — including in real-world settings where randomized experiments aren't possible.
  • Experience building business cases, ROI analyses, or financial models, and presenting them to senior stakeholders.

Nice To Haves

  • Experience in product analytics or strategy at a technology, healthcare technology, SaaS, or AI company.
  • Experience working with healthcare data, products, clinical workflows, or healthcare organizations.
  • Fluency in healthcare financial and value-based care concepts (e.g., HRRP/readmission economics, value-based care arrangements, risk-based contracting).
  • Experience designing causal, cohort, funnel, retention, or behavioral analyses, especially where RCTs aren't feasible.
  • Experience presenting to Director/VP/C-suite or senior customer stakeholders.
  • Experience with AI, machine learning, or LLM-powered products.
  • Startup or high-growth experience where responsibilities extend beyond a narrowly defined analytics function.

Responsibilities

  • 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.

Benefits

  • We recently raised a $126M Series C at a $3.5B valuation, led by Avenir Growth, bringing total funding to $404M with participation from CapitalG, General Catalyst, a16z, Kleiner Perkins, Premji Invest, UHS, Cincinnati Children’s, WellSpan Health, John Doerr, Rick Klausner, and others.
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