Senior Product Data Analyst

Hippocratic AI•Menlo Park, CA

7d•Onsite

About The Position

Hippocratic AI is seeking a Lead Product Data Analyst to shape company-wide product strategy and measure the clinical, operational, and financial impact of its healthcare AI platform. This role establishes measurement and evaluation strategies for AI clinical agents, including critic frameworks, safety baselines, and quality criteria across product lines. It partners with executive, product, engineering, customer success, and clinical leaders to address strategic questions about product investment, customer adoption, and outcomes for health systems and patients. The position translates high-level strategic priorities into rigorous analytical programs and uses sound business judgment to influence product roadmaps and customer partnerships. The role is expected to work from the Menlo Park office five days per week, unless otherwise specified.

Requirements

6–8+ years of progressive experience in product analytics, product strategy, data analytics, business strategy, or management consulting within high-growth technology or healthcare environments.
Bachelor’s degree in a quantitative or analytical discipline, such as Business, Economics, Finance, Statistics, Data Science, Computer Science, Engineering, or a related field.
Advanced SQL skills and demonstrated ability to independently analyze large, complex datasets.
Track record of driving executive consensus and influencing company-wide product strategy, roadmaps, and capital allocation using data.
Experience with product analytics or BI tools such as Looker, Tableau, Metabase, or similar.
Ability to design analytical approaches to evaluate product changes and program impact, including when randomized experiments are not possible.
Experience building sophisticated ROI models, business cases, or economic evaluations and presenting them directly to VP and C-suite stakeholders.

Nice To Haves

Working proficiency in Python.
Product analytics or strategy experience at a technology, healthcare technology, SaaS, or AI company.
Experience with healthcare data, products, clinical workflows, or healthcare organizations.
Knowledge of healthcare financial and value-based care concepts, such as readmission economics, value-based care arrangements, or risk-based contracting.
Experience designing causal, cohort, funnel, retention, or behavioral analyses, especially where randomized controlled trials are not 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 with responsibilities extending beyond a narrowly defined analytics function.

Responsibilities

Partner with executive, clinical, and product leadership to establish company-wide AI agent evaluation frameworks, critic architectures, and quality baselines.
Define company-level North Star metrics and multi-tier measurement strategies that help shape long-term product vision.
Design analytical approaches to evaluate product changes and program impact, including in settings where randomized experiments are not possible.
Conduct pre- and post-launch analysis to assess whether initiatives achieved their intended outcomes.
Architect end-to-end analytical solutions for complex strategic questions and provide recommendations to executive decision-makers.
Develop financial and business models linking product adoption to health system ROI, clinical outcomes, cost reduction, and value-based care performance.
Partner with technical teams to improve instrumentation and data reliability.
Translate analytical findings into executive narratives for senior leaders and external healthcare partners.
Represent product data strategy and ROI models in C-suite customer and partner engagements.
Serve as a principal analytics partner across Product, Engineering, Customer Success, and GTM; mentor team members and establish product analytics standards.