RCM Analytics & AI Strategy Lead

Obsidian

New York (NY)

On-site

USD 90,000 - 120,000

Full time

14 days+

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Job summary

Obsidian is seeking experienced Revenue Cycle Analytics leaders to enhance AI tools for revolutionizing revenue cycle intelligence in healthcare. You'll drive data performance improvements, lead analytics in RCM operations, and support critical financial decision-making.

Your expertise will significantly shape AI systems, providing actionable insights that enhance patient access, coding, billing, and collections. This role requires deep knowledge of revenue cycle KPIs, analytical tools, and strong communication skills, making a direct impact in a cutting-edge field.

Qualifications

  • 5+ years of experience in revenue cycle analytics, RCM reporting, or healthcare financial decision-support.
  • Proficiency with BI tools (Tableau, Power BI, or equivalent) and SQL-based data analysis.
  • Exceptional written and verbal English communication skills.

Responsibilities

  • Lead revenue cycle analytics, reporting, and decision-support functions.
  • Evaluate AI-generated revenue cycle analytics outputs for accuracy.
  • Develop revenue cycle reporting frameworks covering various performance metrics.
  • Conduct root cause analyses of revenue cycle performance variances.
  • Collaborate with finance, IT, and operational teams.

Skills

Revenue Cycle Analytics
Data Analysis
Financial Reporting
Healthcare Analytics Platforms
BI Tools (Tableau, Power BI)
SQL
Financial Modelling
Communication Skills

Education

5+ years in revenue cycle analytics
Leadership experience

Tools

Tableau
Power BI

Job description

Obsidian is seeking experienced Revenue Cycle Analytics leaders to enhance AI tools for revolutionizing revenue cycle intelligence in healthcare. You'll drive data performance improvements, lead analytics in RCM operations, and support critical financial decision-making.

Your expertise will significantly shape AI systems, providing actionable insights that enhance patient access, coding, billing, and collections. This role requires deep knowledge of revenue cycle KPIs, analytical tools, and strong communication skills, making a direct impact in a cutting-edge field.

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