Director, Revenue Cycle Management Operations

What You’ll Be Doing

• Own end-to-end RCM operational performance across eligibility, claim submission, follow-up, denials, contracts, and authorizations, translating department strategy into execution across your team.
• Assess and evolve team structure as the org scales including span of control, role design, and team growth. You'll inherit a strong team and be expected to make it structurally stronger.
• Operationalize AI and automation tools across RCM workflows — partnering with Grow's Operations AI Center of Excellence to ensure your teams adopt new capabilities effectively and that human and automated work is distributed intentionally as these tools mature.
• Maintain and evolve rigorous KPI reporting and operational dashboards that give leadership clear visibility into RCM performance — including Uncollected %, denial rates, clean claim rates, and payor-level collection trends.

You’ll Be a Good Fit If

• You have 8+ years of progressive experience in revenue cycle management, including 3+ years managing managers in a multi-function RCM operations environment.
• You've owned end-to-end RCM performance metrics and operations (denial rates, clean claim rate, days in A/R) and can point to specific operational improvements you drove.
• You've worked in a high-growth or rapid-scaling environment (ideally in health tech) where processes, systems, and team structures were being built or redesigned in real time, not just maintained.
• You're a builder, not just an operator. You've stood up new processes, reporting frameworks, or team structures during a period of growth or transformation.
• You've managed RCM operations across diverse payor types where each payor introduces distinct billing rules, authorization requirements, and contractual structures.
• You've operated where RCM and adjacent functions meet (credentialing, enrollment, provider operations, or finance) and understand how upstream quality drives downstream collections performance.
• You have experience operationalizing automation or AI tools within operational workflows — you don't need to build the technology, but you know how to adopt it, measure its impact, and reshape team processes around it.