RCM Analytics Director - AI Tools

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:

- For any help or support, reach out to:

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

Originally posted on Himalayas