Revenue Cycle Leader - Fully Remote

About the job

Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey.

Position: Revenue-cycle analytics / decision-support / RCM reporting leader
Type: Contract
Compensation: $100/hour
Location: Remote

Role Responsibilities

• Lead revenue cycle analytics, reporting, and decision-support functions to drive data-driven performance improvement across RCM operations.
• Evaluate AI-generated revenue cycle analytics outputs, KPI dashboards, and financial modeling recommendations for accuracy and completeness.
• Develop and maintain revenue cycle reporting frameworks covering patient access, coding, billing, denials, A/R, and collections performance.
• Build and interpret dashboards, scorecards, and trend analyses to support operational and executive decision-making.
• Conduct root cause analyses of revenue cycle performance variances and develop data-driven improvement recommendations.
• Collaborate with finance, IT, and operational revenue cycle teams to align analytics infrastructure with strategic priorities.
• Manage RCM data governance, including data definitions, data quality standards, and reporting consistency.
• Support revenue cycle forecasting, budget modeling, and net revenue realization analysis.
• Annotate AI outputs and provide structured analytical feedback to support AI training datasets.

Qualifications

Must-Have

• 5+ years of experience in revenue cycle analytics, RCM reporting, or healthcare financial decision-support, with at least 2 years in a leadership role.
• Deep knowledge of revenue cycle KPIs and financial metrics across patient access, coding, billing, denials, and collections domains.
• Proficiency with healthcare analytics platforms, BI tools (Tableau, Power BI, or equivalent), and SQL-based data analysis.
• Experience with EHR-integrated analytics platforms and RCM reporting systems.
• Strong financial modeling and data interpretation skills with the ability to translate complex data into actionable recommendations.
• Exceptional written and verbal English communication skills.
• High attention to detail with the ability to identify data quality issues and analytical errors in AI-generated outputs.

Preferred

• HFMA CRCR, CHFP, or healthcare analytics certification.
• Experience with predictive analytics, revenue cycle forecasting, and net revenue modeling.
• Background in health system, large physician enterprise, or RCM outsourcing analytics operations.
• Familiarity with AI tools and comfort evaluating AI-generated analytics content.
• Experience implementing enterprise-wide revenue cycle analytics infrastructure or BI platform migrations.

Resources & Support

• For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome
• For any help or support, reach out to: [email protected]

PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.