Lead the strategy and execution of data products, AI/ML systems, AI-powered tooling, and automation initiatives across Patient Experience and Commercial Operations.
Partner closely with Patient Experience and Commercial Operations teams to identify bottlenecks, unlock scale, and deliver measurable outcomes.
Own the full product lifecycle from discovery through production, ensuring solutions are adopted, trusted, and deliver impact across experience, operations, and revenue.
Be hands-on with data: query datasets, review schemas, and validate assumptions through analysis.
Define clear product requirements (PRDs, user stories, acceptance criteria) and success metrics.
Own the end-to-end ML lifecycle: feature definition, evaluation, deployment, monitoring, drift detection, and retraining.
Launch products with supporting enablement activities to ensure solutions are embedded in workflows with confidence.
Requirements
7–10+ years of product management experience, including 3+ years building data products, AI/ML systems, or related platforms.
Demonstrated domain fluency in Patient Experience and Commercial Operations.
Strong understanding of patient journeys, support channels (e.g., chat, voice, call centers), and operational workflows that drive conversion and test completion.
Familiarity with key domain-relevant tooling (e.g., patient portals and support platforms) and associated data.
Strong technical acumen (e.g., querying data, working in notebooks for EDA and experimentation, modeling datasets).