Vice President of Data

Join our team as the Vice President of Data, a strategic leadership role focused on scaling our member base, expanding our clinical model, and investing in AI-assisted care workflows. You will set the vision for the data organization, build and grow the team, and partner with the executive team to translate company strategy into a coherent data, analytics, and ML roadmap. This role requires a strategic thinker who can lead a multi-discipline team and make tradeoff decisions between platform investment, analytics throughput, and ML/AI bets.

• Establecer la visión y la estrategia para la organización de datos, y construir y hacer crecer el equipo.
• Colaborar con el equipo ejecutivo para traducir la estrategia de la empresa en una hoja de ruta coherente de datos, análisis y aprendizaje automático.
• Dirigir un equipo multidisciplinario (ingenieros de datos, analistas, científicos de datos, ingenieros de ML) para mejorar la calidad y la rigor de los datos.
• Can defend decisions clearly to the executive team, the board, and the broader org
• Understand experimentation, causal inference, and the limits of A/B testing in healthcare contexts
• Have strong product and business instincts in addition to technical depth
• Have hired, coached, and leveled up data engineers, analytics engineers, analysts, data scientists, and ML engineers
• Have worked with PHI / HIPAA and understand the compliance, privacy, and security implications of data work in healthcare
• Have built and matured data platforms — ingestion, warehousing, modeling, governance — without over-engineering
• Have operated in ambiguity and built clarity from it (definitions, ownership, metric trees, source of truth)
• Move quickly and independently and push teams to do the same
• Have led data orgs through meaningful scale (early growth through multi-team)
• Are comfortable making decisions with imperfect data
• Have shipped ML or applied AI into a real product, not just into a notebook
• The strongest candidates are people who have owned a full data function end-to-end at scale and can speak clearly about strategy, outcomes, tradeoffs, and team building across data engineering, analytics, and ML
• We want a leader who actively uses tools like Cursor, Claude, v0, or Lovable in their own workflow, who has hands-on opinions about where LLMs and agents accelerate data and analytics work, where they’re still risky in a clinical setting, and who can set the standard for how the broader data and engineering org adopts AI responsibly
• That doesn’t just mean having tried ChatGPT once or twice
• Healthcare or regulated-industry experience is a strong plus but not required if the data and ML leadership chops are strong
• We also want someone who’s genuinely fluent with modern AI-assisted tooling