Revenue Cycle Executive for AI Tool Evaluation

Role Overview

Apply executive revenue cycle leadership to evaluate AI tools and strategic outputs intended to improve end-to-end healthcare revenue cycle performance. This remote opportunity focuses on using expertise in revenue cycle operations, payer contracting, financial management, and team leadership to help shape AI systems that support sustainable financial improvement across healthcare organizations.

Key Responsibilities

• Provide executive oversight and strategic direction for patient access, coding, billing, denials, collections, and other front-end, mid-cycle, and back-end revenue cycle functions.
• Review AI-generated performance analyses, strategic recommendations, and operational improvement plans for accuracy and practical feasibility.
• Assess AI tools that automate revenue cycle workflows, identify revenue leakage, and improve payer reimbursement.
• Define and monitor enterprise 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.
• Lead managed care contracting strategy and payer relationship management.
• Partner with clinical, finance, compliance, and IT leaders 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 that supports AI training datasets.

Qualifications

• 10+ years of progressive revenue cycle leadership experience, including at least 5 years in a VP, Senior Director, or equivalent executive role.
• Comprehensive knowledge of end-to-end revenue cycle operations.
• Strong financial acumen, including P&L management, budget oversight, and financial performance reporting.
• A record of leading large-scale revenue cycle transformation initiatives in health systems, hospitals, or physician group settings.
• Deep familiarity with managed care contracting, payer relationships, and reimbursement optimization.
• Exceptional written and verbal English communication skills, including executive-level presentation capability.
• Ability to work independently in a fully remote environment and translate complex revenue cycle data and AI-generated outputs into strategic recommendations.

Preferred Qualifications

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

Work Terms

• Remote, hourly engagement with a flexible, remote-first work environment.
• Work on high-impact healthcare AI projects spanning the full revenue cycle enterprise.

Compensation

$162 per hour.