Revenue Cycle Executive for AI Evaluation

This role offers a unique opportunity to leverage your extensive experience in revenue cycle operations to evaluate and enhance AI tools aimed at transforming the performance of revenue cycles in healthcare organizations. As a Revenue Cycle Executive, you will play a pivotal role in shaping AI systems that drive sustainable financial improvements, ensuring that healthcare organizations can thrive in a rapidly evolving landscape. Key Responsibilities

• Provide executive-level oversight and strategic direction for end-to-end revenue cycle operations, including patient access, coding, billing, denials, and collections.
• Evaluate AI-generated revenue cycle performance analyses, strategic recommendations, and operational improvement plans for accuracy and feasibility.
• Assess AI tools designed to automate revenue cycle workflows, identify revenue leakage, and optimize payer reimbursement.
• Define and monitor enterprise revenue cycle KPIs, including net collection rate, days in A/R, denial rate, cost-to-collect, and cash collections performance.
• Develop and implement revenue cycle improvement strategies aligned with organizational financial goals.
• Oversee managed care contracting strategy and payer relationship management.
• Collaborate with clinical, finance, compliance, and IT leadership to align revenue cycle initiatives with organizational priorities.
• Present revenue cycle performance to executive leadership, boards, and investors.
• Annotate AI outputs and provide structured strategic feedback to support AI training datasets.

• 10+ years of progressive revenue cycle leadership experience, with at least 5 years in a VP, Sr. Director, or equivalent executive role.
• Comprehensive knowledge of end-to-end revenue cycle operations, including front-end, mid-cycle, and back-end functions.
• Strong financial acumen with experience managing P&L, budget oversight, and financial performance reporting.
• Track record of leading large-scale revenue cycle transformation initiatives in health system, hospital, or physician group settings.
• Deep familiarity with managed care contracting, payer relations, and reimbursement optimization.
• Exceptional written and verbal English communication skills, including executive-level presentation skills.
• Comfortable working independently in a fully remote environment.
• Ability to synthesize complex revenue cycle performance data and AI-generated outputs into strategic recommendations.

• HFMA Fellow (FHFMA), CHFP, or CRCR certification.
• Experience with RCM technology platforms and large-scale EHR implementations.
• Background in PE-backed healthcare organizations, health systems, or large physician enterprise environments.
• Familiarity with AI tools and comfort evaluating AI-generated revenue cycle strategy content.
• Experience leading multi-site or multi-entity revenue cycle consolidation or integration initiatives.

• Contribute to the development of frontier AI systems in healthcare.
• Collaborate with a world-class AI research organization.
• Flexible, remote-first work environment.
• Competitive compensation at $162/hr.
• Gain exposure to cutting-edge AI workflows across the full revenue cycle enterprise.
• Opportunity to work on high-impact projects shaping the future of healthcare AI.