Senior Director - Revenue Cycle Global Training & Quality Assurance
United StatesFull-TimeDirector
Salary160,000 - 215,000 USD per year
Apply NowOpens the employer's application page
Job Details
- Experience
- 10+ years
- Required Skills
- Artificial IntelligenceQuality AssuranceData analytics
Requirements
- 10+ years of progressive leadership experience in revenue cycle management, healthcare operations, training, quality assurance, or consulting.
- Strong background in building and scaling enterprise learning and QA programs in complex, matrixed, or global environments.
- Experience in healthcare revenue cycle operations, managed services, or shared services models.
- Proven ability to leverage AI, automation, and data analytics to improve training delivery and quality performance at scale.
- Deep understanding of revenue cycle processes, healthcare operations, and performance improvement methodologies.
- Strong leadership skills with the ability to influence cross-functional stakeholders and drive organizational change.
- Experience developing and managing global or distributed teams.
- Bachelor’s degree required; Master’s degree preferred in healthcare administration, business, or related field.
- Excellent communication, strategic thinking, and problem-solving abilities.
Responsibilities
- Lead the design, execution, and continuous improvement of enterprise-wide Revenue Cycle training programs, including onboarding, role-based learning paths, and leadership development tracks.
- Build and scale structured learning frameworks that reduce time-to-proficiency and enhance performance across global delivery teams.
- Oversee leadership development programs for supervisors, managers, and directors, strengthening capabilities in strategy, operations, client engagement, and change leadership.
- Integrate AI-driven and technology-enabled learning solutions to personalize training and improve scalability and effectiveness.
- Direct the global Revenue Cycle Quality Assurance program, ensuring consistency, compliance, and operational excellence across all teams.
- Implement advanced QA frameworks, scorecards, and analytics to identify performance gaps and drive continuous improvement.
- Establish closed-loop feedback systems linking QA insights to targeted training, coaching, and remediation initiatives.
- Partner with technology and operations teams to deploy automation and AI tools that enhance learning delivery and quality monitoring.
- Monitor and report on key performance indicators related to training effectiveness, quality outcomes, and operational impact.
View Full Description & ApplyYou'll be redirected to the employer's site
