Director-Payor Provider Payments Analytics - Revo Health

The Director of Payor/Provider Payments & Analytics is a strategic and hands-on leader responsible for overseeing payment analytics, reconciliation, and financial performance reporting across all payor contracts for a growing independent physician group. This role requires a unique blend of technical expertise (SQL, data modeling), operational leadership, and the ability to translate complex financial data into clear, actionable insights for physicians and executive stakeholders.

This role is critical to unlocking financial performance and transparency across the organization. By combining rigorous analytics with strong physician engagement, the Director will directly influence reimbursement optimization, provider satisfaction, and long-term sustainability in an evolving healthcare landscape.

The ideal candidate thrives at the intersection of finance, analytics, and healthcare operations—bringing rigor to data while effectively “telling the story”Behind performance trends to drive clinical and financial decision-making.

This is a full-time role working normal business hours. Opportunity for hybrid, out of Bloomington.

Revo Health is a professional services company that partners with multiple healthcare groups to deliver exceptional patient care. This position will be employed by Revo Health, working closely with Infinite Health Collaborative (i-Health) and its operating divisions.

 

Essential Job Functions:

Leadership & Strategy

• Lead and develop a high-performing team responsible for payor analytics, provider compensation support, payment integrity, and credentialing
• Serve as a strategic partner to executive leadership and physicians on financial performance, reimbursement trends, and contract optimization
• Define and execute analytics strategy aligned with organizational growth, value-based care initiatives, and contracting priorities
• Establish best practices, controls, and scalable processes for data governance and reporting

Payor & Provider Payment Analytics

• Oversee analysis of payor reimbursement, contract performance, and payment variance (expected vs. actual)
• Lead initiatives to improve revenue capture, identify leakage, and enhance payment accuracy
• Partner with revenue cycle and contracting teams to evaluate payor agreements and model financial impact
• Support provider compensation models with accurate, transparent data and insights

Technical Analytics & Data Management

• Serve as a hands-on leader in data extraction, transformation, and analysis using SQL and related tools
• Design and oversee data models, reporting frameworks, and dashboards (e.g., Power BI, Tableau, or equivalent)
• Ensure data integrity across multiple systems (EHR, billing, payor feeds, financial systems)
• Translate business questions into data requirements and analytical outputs

Physician Engagement

• Present complex financial and operational data to physicians in a clear, concise, and compelling manner
• Develop intuitive dashboards and visualizations that enable physician leaders to understand key drivers of performance
• Act as a bridge between technical teams and clinical stakeholders, ensuring insights are actionable and relevant
• Facilitate discussions with physician leadership on productivity, reimbursement trends, and improvement opportunities
• Work independently with minimal supervision.
• Other duties as assigned.

 

Education and Experience:

Required

•  Bachelor’s degree in Healthcare Administration, Data Analytics, Finance, or related field
•  8–12+ years of experience in healthcare analytics, finance, or revenue cycle, with at least 3–5 years in a leadership role
•  Advanced SQL skills (data extraction, joins, aggregations, performance tuning)
•  Experience analyzing healthcare claims, reimbursement methodologies, and provider compensation
•  Demonstrated ability to lead teams while remaining hands-on technically
•  Strong communication and presentation skills, with experience working directly with physicians or clinical leaders

Preferred

•  Experience in an independent physician group, MSO, or multi-specialty practice
•  Familiarity with value-based care models, risk arrangements, and population health analytics
•  Experience with BI tools