Manager, Strategic Pricing and Analytics, Health Plan Relations
Tennessee, United States of America
Full Time
3 hours ago
No Visa Sponsorship
Key skills
SQLCAnalyticsLeadershipCritical Thinking
About this role
Role Overview
Lead anesthesia reimbursement analytics including forecasting, payer trend analysis, variance identification, and strategic pricing recommendations across commercial, government, and out‑of‑network (OON) payment scenarios.
Deliver advanced OON and No Surprises Act (NSA) analytics, support the IDR process, and build dashboards and financial models that inform leadership and drive pricing and revenue optimization.
Support ASC chargemaster development and maintenance by performing detailed analyses, updating CPT mappings, setting fee parameters, and preparing recommended charge models.
Coordinate approvals and compliance workflows by tracking centers, reviewing operating agreements and payer notification language, preparing analysis and proposed chargemasters, and managing approvals.
Prepare and distribute finalized chargemasters and documentation by creating distribution files, maintaining tracking logs and supporting payer notification and operational implementation.
Oversee the execution of ad hoc reimbursement analyses and other custom analytics requested by leadership to drive informed strategic decisions.
Requirements
Bachelor’s degree required, preferably in Finance, Accounting, Healthcare Administration, or a related field.
5–7 years of progressive experience in healthcare analytics, pricing, or reimbursement analysis.
Expertise in healthcare industry, managed care contracts, reimbursement methodologies, and pricing strategies.
Track record of strong critical thinking and problem-solving ability.
Fluency in Microsoft Office applications with advanced Excel skills required.
Basic, working knowledge of SQL required.
Ability to build and audit complex Excel-based financial models.
Analyze data and translate analyses into specific, targeted actions to drive results.
Expertise in working with complex and large volumes of data.
Demonstrated ability to design, develop, and implement routine and custom reporting.
Demonstrated ability to effectively communicate with C-suite and executive leadership.