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Healthcare AI Revenue Cycle Management Manager

Role Overview: This position involves leading assessments and designing AI-enabled solutions to optimize healthcare revenue cycle and patient access functions.

Key Responsibilities:

  • Independently and collaboratively evaluate provider organization capabilities through site observations, stakeholder interviews, document reviews, data analysis, and process mapping.
  • Leverage AI tools to enhance revenue cycle processes, including EHR, CRM, payment management, automation, and analytics.
  • Design or redesign business processes by integrating AI technologies such as RPA/IA, aligning with client needs and industry best practices.
  • Manage program and project activities, prepare engagement documentation, and communicate findings through briefings and reports.
  • Conduct research, analyze data, synthesize insights, and develop narratives to support project deliverables.
  • Supervise internal team members, provide mentoring, and serve as Performance Management Leader for staff.

Qualifications & Skills:

  • Minimum five years of consulting experience in operations improvement, systems integration, or related industry roles, with at least two years of supervisory experience.
  • Bachelor’s degree in Healthcare Administration, Business, MIS, Economics, Industrial Engineering, or related fields.
  • Proven experience applying AI tools across healthcare revenue cycle functions, including financial clearance, scheduling, billing, and collections.
  • Expertise in building AI solutions for large data analysis, visualization, and workflow optimization.
  • Deep understanding of AI applications in clinical and operational areas, enhancing patient flow, referral management, and analytics.
  • Strong consulting skills in communication, facilitation, and presentation, with client-facing confidence.

Additional Information: The role requires authorization to work in the U.S. without sponsorship. Candidates should be adaptable, team-oriented, and committed to professional growth within a collaborative environment.

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