Lead Product Data Analyst (Healthcare AI)

Location: Menlo Park, California, United States; on-site five days a week

Company

Hippocratic AI is building a healthcare-only, safety-focused large language model and AI platform designed to improve patient outcomes.

What you will do

• Define AI agent performance criteria, critic frameworks, quality metrics, north star metrics, and product measurement frameworks.
• Design analytical approaches for product changes and program impact, including real-world evaluations where randomized experiments are not feasible.
• Conduct pre- and post-launch analyses to assess whether initiatives achieve their intended outcomes.
• Translate ambiguous product and business questions into structured analyses and recommendations for roadmap and prioritization decisions.
• Build business cases and ROI models connecting product usage with operational efficiency, cost reduction, capacity, and patient or customer outcomes.
• Present findings to product leadership, executives, customers, and partners while improving data instrumentation with technical teams.

Requirements

• 5+ years of experience in product analytics, product strategy, data analytics, business strategy, or management consulting.
• Bachelor's degree in a quantitative or analytical discipline such as business, economics, finance, statistics, data science, computer science, or engineering.
• Advanced SQL and the ability to independently analyze large, complex datasets; working Python proficiency is preferred.
• Experience influencing product strategy, prioritization, or roadmap decisions with data.
• Experience with product analytics or BI tools such as Looker, Tableau, or Metabase.
• Experience building business cases, ROI analyses, or financial models and presenting them to senior stakeholders.

Nice to have

• Experience in technology, healthcare technology, SaaS, or AI product analytics or strategy.
• Experience with healthcare data, clinical workflows, healthcare organizations, or value-based care and healthcare financial concepts.
• Experience designing causal, cohort, funnel, retention, or behavioral analyses where randomized controlled trials are not feasible.
• Experience with AI, machine learning, or LLM-powered products.
• Startup or high-growth experience and experience presenting to director, vice president, C-suite, or senior customer stakeholders.

Culture & Benefits

• Work alongside physicians, hospital leaders, AI researchers, and technology experts focused on safety-first healthcare AI.
• Collaborate directly with Product, Engineering, Customer Success, clinical teams, leadership, customers, and partners.
• Join a high-growth company backed by leading healthcare and AI investors.
• Work in an environment focused on measurable patient, customer, and operational outcomes.