Owned a full data function end-to-end at scale
Led data orgs through meaningful scale (early growth through multi-team)
Built and matured data platforms — ingestion, warehousing, modeling, governance — without over-engineering
Shipped ML or applied AI into a real product, not just into a notebook
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
Comfortable making decisions with imperfect data
Strong product and business instincts in addition to technical depth
Understand experimentation, causal inference, and the limits of A/B testing in healthcare contexts
Worked with PHI / HIPAA and understand the compliance, privacy, and security implications of data work in healthcare
Can defend decisions clearly to the executive team, the board, and the broader org
Hired, coached, and leveled up data engineers, analytics engineers, analysts, data scientists, and ML engineers
Genuinely fluent with modern AI-assisted tooling
Actively uses tools like Cursor, Claude, v0, or Lovable in their own workflow
Hands-on opinions about where LLMs and agents accelerate data and analytics work, where they’re still risky in a clinical setting
Set the standard for how the broader data and engineering org adopts AI responsibly

Hybrid — San Diego, Vienna, remote US

9amHealth is hiring a VP of Data