Lead Product Data Analyst

Join our team as a Lead Product Data Analyst, where you will partner with executive, clinical, and product leadership to establish company-wide AI agent evaluation frameworks and quality baselines. You will define company-level North Star metrics, design analytical approaches to evaluate product changes, conduct pre- and post-launch analysis, and architect end-to-end analytical solutions for complex strategic questions. You will also develop comprehensive financial and business models, improve instrumentation with technical teams, synthesize analytical findings into compelling executive narratives, and represent product data strategy in high-stakes engagements.

• Establish company-wide AI agent evaluation frameworks, critic architectures, and quality baselines.
• Define company-level North Star metrics and multi-tier measurement strategies that proactively shape long-term product vision.
• Architect end-to-end analytical solutions for complex, unstructured strategic questions, providing high-conviction recommendations to executive decision-makers.

• Advanced SQL and demonstrated ability to independently analyze large, complex datasets; working Python proficiency preferred
• Track record of driving executive consensus and directly influencing company-wide product strategy, roadmaps, and capital allocation using data
• Bachelor's degree in a quantitative or analytical discipline (Business, Economics, Finance, Statistics, Data Science, CS, Engineering, or related)
• Design analytical approaches to evaluate product changes and program impact — including in real-world settings where randomized experiments aren't possible
• Proven experience building sophisticated ROI models, business cases, or economic evaluations, presenting directly to VP and C-suite stakeholders
• 6–8+ years of progressive experience in product analytics, product strategy, data analytics, business strategy, or management consulting within high-growth tech or healthcare environments
• Experience with product analytics/BI tools (Looker, Tableau, Metabase, or similar)
• 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