VP - Healthcare engineering

Key Responsibilities

• Own delivery of the Revenue Cycle Management roadmap against committed plans and milestones, proactively re-forecasting in writing ahead of any risk to a date.
• Own production reliability for every application in the portfolio - both how often it breaks and how long it stays broken.
• Define a written alerting and APM (Datadog) requirement for every application, and hold shared infrastructure and SRE functions accountable to an agreed turnaround.
• Own technology lifecycle management across your organization - every component on a supported release, with a dated plan for any that are not.
• Drive down the cycle time for closing that gap, release over release.
• Build and lead a high-performing engineering organization - hire within approved headcount, shape team structure, and direct day-to-day contractor work alongside your core employee team.
• Set defect-triage priority and release cadence for your own teams.
• Own the people outcome across your entire organization - development, retention, and fair evaluation at every level - delivered operationally through your Technical Managers, who you hold accountable for doing it well.
• Partner with the Senior Product Director on roadmap sequencing, release scope, customer pilot readiness, and the trade-off between new capability and remediation.
• Partner with our Chief Architect's organization on cross-team architecture decisions, shared platform changes, and new integration patterns against the core database.
• Partner with peer VP Engineering leaders across other value streams on cross-boundary dependencies and shared technical seams.
• Escalate material risks to the CTO: risk to a committed delivery date, any change to the funded plan's scope or budget, and anything with impact beyond your own organization.
• Personally work hands-on with modern AI-assisted engineering tools day to day, and drive adoption of AI-assisted development, testing, and review practices across your organization - making the call on where AI meaningfully improves velocity, quality, or cost, and holding your Technical Managers accountable for adoption on their teams.
• Partner with Product to identify, scope, and ship AI-powered product capabilities within Revenue Cycle Management - for example, intelligent claims/billing exception handling or AI-assisted payment posting - taking them from prototype to a reliable, supported production feature with the same reliability and compliance bar as the rest of the platform.