Director, Revenue Cycle & Financial Analytics (52301)

Platinum Dermatology Partners

Dallas (TX)

On-site

USD 180,000 - 250,000

Full time

14 days+

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Benefits offered by this job

Medical, Dental, Vision insurance
401(k) plan
Paid Time Off
Company-Paid Holidays

Job summary

Platinum Dermatology Partners seeks a Director of Revenue Cycle & Financial Analytics to drive enterprise-wide financial and operational transformation. You’ll partner with Finance, Revenue Cycle, and Clinical leadership to develop scalable analytics, automation, and forecasting models across multiple locations.

The role requires deep healthcare revenue cycle knowledge, advanced technical skills, and a track record leading large-scale initiatives in high-growth healthcare settings.

Qualifications

  • Education: Bachelor’s or advanced degree in Data Analytics, Applied Statistics, Computer Science, Information System Management, Economics, Engineering, or related field required.
  • 5+ years of progressive analytics experience.
  • Familiarity with healthcare reimbursement methodologies, payor contracting, claims processing, and revenue cycle operations is a plus.
  • Strong proficiency in SQL, with ability to write complex queries; proficiency in Python, R, or SAS.
  • Experience with Power BI, Tableau, or similar BI tools.
  • Excel proficiency with advanced formulas, Power Pivot/Query, and financial modeling.
  • Knowledge of cloud platforms (Azure, AWS) and modern data architectures; Databricks experience is a plus.
  • Knowledge of predictive analytics, statistical modeling, and forecasting techniques; AI/ML tools experience is a plus.

Responsibilities

  • Lead enterprise-wide revenue cycle and financial operations transformation initiatives.
  • Design new operating models, workflows, and reporting structures using modern data platforms.
  • Support integration across acquired or affiliated practices for standardized reporting.
  • Identify opportunities to eliminate manual processes through automation and AI.
  • Develop CFO-ready dashboards, scorecards, and financial performance reporting.
  • Perform variance analyses and identify operational drivers for improvement.
  • Lead forecasting methodologies for revenue and cash collection.
  • Design provider compensation and reimbursement strategies aligned with objectives.
  • Champion automation and analytics innovations across the organization.

Skills

SQL proficiency
Python
R
SAS
Power BI
Tableau
Excel advanced
Data governance
MDM
Azure
AWS
Databricks
Forecasting
Communication

Education

Bachelor’s or advanced degree in Data Analytics, Applied Statistics, Computer Science, Information System Management, Economics, Engineering, or related field

Tools

SQL
Python
R
SAS
Power BI
Tableau
Excel
Azure
AWS
Databricks

Job description

Job Details

Job Details: Job Location: Practice Support Center 1210 - Dallas, TX, Position Type: Full Time, Salary Range: Undisclosed

Who We Are

Platinum Dermatology Partnersis a network of high-quality dermatology clinics that focus on collaborative and innovative ideas to drive growth. We offer general dermatology, cosmetic, medical, plastic surgery, and cancer screening treatments. We have over 120 clinics, over 350 providers, and more than 2100 employees in clinics across Texas, Arizona, California, Nevada, and Florida. We are a rapidly growing company that allows our doctors to focus on providing exceptional care without worrying about the operational side of the business. Our core values focus on collaboration, ownership, respect, excellence, authenticity, and integrity. Our purpose is to empower the practice of exceptional dermatology.

Company Conformance Statements
  • Perform quality work within deadlines with or without direct supervision.
  • Interact professionally with other employees, customers, and suppliers.
  • Work effectively as a team contributor on all assignments.
  • Work independently while understanding the necessity for communicating and coordinating work efforts with other employees and organizations.
Position Summary

The Director of Revenue Cycle & Financial Analytics serves as a strategic partner across Revenue Cycle Operations, Finance, Accounting, Clinical Leadership, and Executive Management to drive enterprise-wide financial and operational transformation initiatives. This role combines advanced healthcare analytics, process redesign, automation, financial planning, and revenue cycle expertise to improve organizational performance, scalability, and profitability. The ideal candidate possesses deep healthcare revenue cycle knowledge, strong financial acumen, advanced technical capabilities, and a proven track record leading large-scale transformation initiatives in complex, high-growth healthcare organizations.

Responsibilities
Revenue Cycle & Financial Transformation
  • Partner with Revenue Cycle, Accounting, FP&A, and Operations to lead enterprise-wide revenue cycle and financial operations transformation initiatives that improve scalability, operational efficiency, and financial performance.
  • Design and implement new operating models, workflows, and reporting structures that leverage modern data platforms and automation capabilities.
  • Support integration and standardization efforts across newly acquired or affiliated practices, ensuring consistent reporting, forecasting, and performance management frameworks.
  • Identify opportunities to eliminate manual processes through automation, AI, and advanced analytics.
Strategic Financial Analytics & Executive Decision Support
  • Serve as a trusted advisor to executive leadership, Finance, Revenue Cycle Operations, and Clinical stakeholders.
  • Translate complex analytical findings into clear business recommendations for both technical and non-technical audiences.
  • Influence organizational priorities through data-driven insights and measurable business outcomes.
  • Develop executive-level reporting and analytics that provide actionable insights into revenue, profitability, reimbursement performance, productivity, and organizational growth.
  • Deliver CFO-ready dashboards, scorecards, and financial performance reporting across payors, providers, service lines, and locations.
  • Perform advanced variance analysis and business performance reviews to identify operational drivers and financial improvement opportunities.
Revenue Forecasting & Financial Planning
  • Lead development and continuous enhancement of revenue and cash collection forecasting methodologies.
  • Design automated forecasting models that improve predictability and reduce manual effort across Finance and Revenue Cycle teams.
  • Partner with FP&A and Accounting to align operational performance metrics with budgeting, forecasting, and financial reporting processes.
  • Build forecasting frameworks that connect operational drivers to financial outcomes and enable proactive decision-making.
Provider Compensation & Reimbursement Strategy
  • Design, maintain, and enhance provider compensation models that align physician behavior with organizational strategic and financial objectives.
  • Partner with executive and clinical leadership to evaluate provider productivity, compensation performance, and incentive effectiveness.
  • Analyze reimbursement trends, payor performance, and contractual compliance to identify revenue optimization opportunities.
  • Support provider payment governance through ongoing monitoring, reconciliation, and financial analysis.
Automation, AI & Analytics Innovation
  • Lead development of automated analytics solutions using modern data and automation platforms.
  • Leverage AI and advanced analytics to identify trends, anomalies, reimbursement opportunities, and operational improvement initiatives.
  • Develop scalable reporting frameworks that reduce manual effort and improve data accessibility across the organization.
  • Champion continuous improvement through process automation, workflow optimization, and emerging technologies.
Data Architecture, Governance & Quality
  • Partner with Data Engineering, ETL, and Business Intelligence teams to design scalable data models and reporting solutions.
  • Ensure integrity, consistency, and reliability of financial and operational data across multiple source systems.
  • Develop and maintain reconciliation processes between clinical, operational, procurement, and financial systems.
  • Establish governance standards, data quality controls, and documentation to support enterprise reporting and decision-making.
Qualifications

Education: Bachelor’s or an advanced degree in Data Analytics, Applied Statistics, Computer Science, Information System Management, Economics, Engineering, or a related field required.

Skills, Requirements, and Success Measures
Experience
  • 5+ years of progressive analytics experience.
  • Familiarity with healthcare reimbursement methodologies, payor contracting, claims processing, and revenue cycle operations; familiarity with healthcare data standards (e.g., ICD, CPT, HL7) is a plus but not mandatory.
Technical Skills
  • Advanced proficiency in SQL, with the ability to write complex queries, and proficiency in at least one programming language (Python, R, or SAS).
  • Advanced experience with business intelligence and visualization tools such as Power BI, Tableau, or similar platforms.
  • Strong proficiency in data governance, data quality, and master data management (MDM) principles, including data mastering tasks such as source identification, transformation, normalization, error detection and correction, consolidation, and hierarchy management.
  • Strong proficiency in Excel, including advanced formulas, Power Pivot/Query, and financial modeling.
  • Familiarity with cloud platforms (e.g., Azure, AWS), modern data architectures, and Databricks as a cloud-based data intelligence platform; and understanding of data warehousing concepts and data movement/processing, including ETL, API, OLAP, and data tracking best practices.
  • Knowledge of predictive analytics, statistical modeling, and forecasting techniques preferred; experience leveraging AI/ML tools alongside advanced data modeling (conceptual, logical, and physical) to design scalable data solutions is a plus.
  • Plus: Experience with healthcare data platforms, EHRs, practice management systems, and large, complex datasets (healthcare claims, financial, or operational data).
Success Measures
  • Accuracy and reliability of revenue cycle reporting and underlying data.
  • Timeliness and effectiveness of KPI monitoring, variance analysis, and executive reporting.
  • Identification and recovery of payor underpayments and reimbursement opportunities.
  • Improved visibility into provider payment compliance and contract performance.
  • Accuracy of revenue and cash collection forecasts.
  • Measurable improvements in cash collections, reimbursement performance, automation, and operational efficiency.
Our competitive benefits package includes the following:
  • Medical, Dental, and Vision insurance
  • Short-term/Long-term disability
  • Life and other voluntary plans
  • 401(k) plan
  • Employee Referral Program
  • Paid Time-Off
  • Company-Paid Holidays
Equipment Operated

Standard office equipment including computers, fax machines, copiers, printers, telephones, etc.

Physical Requirements

Must possess manual dexterity to operate office machines including computer and calculator; stooping and bending to handle files and supplies; and mobility to complete errands or deliveries. Includes handling of sharps and chemicals.

Equal Employment Opportunity

Platinum Dermatology Partnersis committed to a policy of equal employment opportunities for applicants and Employees. Employment decisions will comply with all applicable laws prohibiting discrimination in employment, including Title VII of the Civil Rights Act of 1964, The Age Discrimination in Employment Act of 1967, the Americans with Disabilities Act of 1990, the Immigration and Nationality Act, the California Fair Employment and Housing Act, and all other applicable state and federal laws.

Platinum Dermatology Partnersdoes not permit discrimination of any type against an employee because of any of the following legally protected characteristics: gender, race, color, religion, country of origin, mental disability, physical disability, marital status, gender identity, gender expression, ancestry, genetic information, medical condition, age, sexual orientation, or pregnancy.

Please note, that any offer of employment is contingent on the successful completion of pre-employment background checks.

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