Lead the analytics function as a senior or staff-level program lead within a healthcare-focused technology organization. The role owns the analytics product program end-to-end, treating analytics as a first-class product rather than a downstream output. It is a hybrid position that blends people leadership, program ownership, and hands-on individual work, with a clear direction toward self-service and agentic analytics.
Responsibilities
- Own delivery of coherent, high-quality, on-time analytics products across multiple solutions, holding the bar for stability, maintainability, and ease of iteration.
- Increase build-and-ship velocity by enforcing and evolving analytics standards, team structures, and AI-assisted ways of working in partnership with data engineering, BI engineering, and product teams.
- Manage solution analytics leads, run day-to-day operations, scope and sequence work across solutions, and keep people unblocked.
- Partner with platform and semantic architecture owners to shape the BI platform and semantic layer that supports both embedded analytics products and the move toward self-service and agentic analytics.
- Stay hands-on as an individual contributor in a domain when the hardest problems require it, to unblock the team and stay aligned with the craft being set as the standard.
Requirements
- Demonstrated program ownership of a technical function, with experience scoping, sequencing, and shipping analytics or data work across multiple parallel workstreams.
- Strong analytical rigor plus hands-on depth in SQL, dbt, modern data warehouses, and BI tooling, enough to do the work yourself and set the standard.
- A systems-builder instinct: turning what works into repeatable processes, standards, and enforcement that run without you.
- Track record of cross-functional influence across teams you do not directly control, with durable working relationships across platform, engineering, and architecture partners.
- Comfort operating in ambiguity and at scale, re-establishing a proven way of working across a broader organization.
Nice to have
- Healthcare domain expertise, including familiarity with operational data, clinical workflows, hospital operations, or healthcare measurement challenges.
- Experience scaling an analytics function at a growing company.
- Familiarity with data or metric governance and semantic-layer concepts where consistency across teams and customer implementations is critical.
- Experience with dbt, Sigma, and knowledge management for documenting metric definitions.
- Exposure to AI-enabled, natural-language, or agentic analytics workflows.