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.

Responsibilities

• 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.
• Track record of driving executive consensus and directly influencing company-wide product strategy, roadmaps, and capital allocation using data
• Proven experience building sophisticated ROI models, business cases, or economic evaluations, presenting directly to VP and C-suite stakeholders

Requirements

• Advanced SQL and demonstrated ability to independently analyze large, complex datasets; working Python proficiency preferred
• 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
• 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
• 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

Preferred

• Experience working with healthcare data, products, clinical workflows, or healthcare organizations
• Experience with AI, machine learning, or LLM-powered products
• Startup or high-growth experience where responsibilities extend beyond a narrowly defined analytics function