Revenue Cycle Executive for AI Evaluation

Drive executive evaluation and strategic validation of AI tools built to transform end-to-end healthcare revenue cycle performance. In this role you will apply senior revenue cycle, payer contracting, and financial leadership experience to assess AI-generated analyses and recommendations, shape improvement strategies, and provide structured feedback to train next-generation AI systems.

• 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 accounts receivable, 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, including at least 5 years in a VP, Senior Director, or equivalent executive role.
• Comprehensive knowledge of end-to-end revenue cycle operations, spanning front-end, mid-cycle, and back-end functions.
• Strong financial acumen with experience managing P and L responsibilities, budget oversight, and financial performance reporting.
• Proven track record 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 ability.
• Ability to synthesize complex revenue cycle performance data and AI-generated outputs into clear, strategic recommendations.
• Comfortable working independently in a fully remote environment.

• HFMA Fellow (FHFMA), CHFP, or CRCR certification.
• Experience with revenue cycle management technology platforms and large-scale electronic health record implementations.
• Background in private equity-backed healthcare organizations, health systems, or large physician enterprises.
• Familiarity with AI tools and experience evaluating AI-generated revenue cycle strategy content.
• Experience leading multi-site or multi-entity revenue cycle consolidation or integration initiatives.

Remote engagement, hourly employment type. Role involves independent remote work and collaboration with cross-functional leadership teams.

Pay rate: $162 per hour.

• Must be able to work effectively in a fully remote setting.
• Must have the English language skills described above for executive communication and presentations.

• Contribute to the development of frontier AI systems in healthcare.
• Collaborate with a leading AI research organization on high-impact revenue cycle use cases.
• Flexible, remote-first work environment.
• Exposure to cutting-edge AI workflows across the full revenue cycle enterprise.