At EverCommerce [Nasdaq: EVCM], we are on a mission to digitally transform the service economy with tailored, end-to-end SaaS solutions that simplify and empower the lives of our 745,000+ customers. As a leading service commerce platform, our modern digital and mobile applications create predictable, informed, and convenient experiences between customers and their service professionals in the areas of Home & Field Services, Health Services, and Wellness industries.
We are building an extraordinary company and looking for talented, energetic, and motivated people to join our team. You can learn more about our Company, Culture and Values here: https://careers.evercommerce.com/us/en
EverHealth, a business within EverCommerce, provides modern end-to-end solutions for healthcare providers. Our open, connected ecosystem of solutions and services helps providers engage patients, increase revenue, improve business efficiency, and remain market competitive. We serve 72,000 healthcare practices and counting. EverHealth consists of five SaaS products; DrChrono, iSalus, CollaborateMD, Updox, and MDTec, combined these products offer end to end solutions for the health care industry.
About the Role We are looking for a Manager, RCM Operations & Analytics to lead performance intelligence, operational analytics, and continuous improvement for our Revenue Cycle Management (RCM) Services organization. Reporting to the Head of Professional Services, this role partners closely with RCM Operations, Service Management, the Vendor Manager, Finance, Clearinghouse, Product, and Engineering to translate reliable data into measurable operational and financial results.
This position owns the RCM performance measurement framework, strengthens independent visibility into internal and outsourced workflows, and drives cross-functional improvement initiatives across the revenue cycle. RCM Operations and Service Management remain accountable for day-to-day service execution and client outcomes; this role provides the measurement, insights, improvement plans, and follow-through that help those teams succeed.
The ideal candidate can develop a trusted dashboard, investigate a performance gap, build a financial model, facilitate corrective action, and verify that a process change delivers results.
What You'll Do Performance Intelligence & Reporting
- Own standardized RCM KPI definitions, data sources, targets, controls, and reporting for days in AR, AR aging, clean claim rate, first-pass resolution, denial and rejection rates, net collection rate, charge lag, posting timeliness, and other core measures.
- Establish independent, timely visibility into transaction volumes, work queues, processing status, productivity, quality, and backlog across internal teams and BPO partners; reduce dependence on vendor-prepared data.
- Partner with Product, Engineering, Clearinghouse, and vendors to improve data access, reconciliation, accuracy, and reporting automation.
- Deliver actionable client-, portfolio-, and vendor-level dashboards, operating reviews, trend analysis, root-cause findings, and recommended actions.
- Identify at-risk clients, revenue leakage, denial patterns, and operational bottlenecks; track corrective actions, owners, due dates, and verified outcomes.
Operational Excellence & Process Improvement
- Lead prioritized, cross-functional process improvement initiatives across charge capture, claims, denials, AR follow-up, payment posting, onboarding, and credentialing/enrollment handoffs.
- Map current- and future-state workflows, identify rework and delays, and partner with accountable operations leaders to standardize scalable processes and SOPs.
- Develop quality measurement and audit frameworks with operational leaders; analyze results and recommend training or workflow changes.
- Measure onboarding performance and time-to-value for new RCM clients, including readiness, early production performance, and stabilization.
- Manage improvement initiatives from business cases through implementation, adoption, and post-launch benefit validation.
Vendor & BPO Performance Accountability
- Partner with the Vendor Manager to define, validate, and report vendor SLAs, transaction volumes, productivity, turnaround time, accuracy, and quality measures.
- Develop consistent vendor scorecards for weekly reviews and quarterly business reviews, using reconciled source data wherever available.
- Quantify performance gaps, recommend corrective actions, and monitor resolution with vendor and operations owners.
- Support transaction forecasting, work allocation, staffing assumptions, vendor transitions, and contract negotiations through fact-based analysis.
- Reconcile vendor invoices to contracted rates, eligible transaction types, and verified volumes; flag discrepancies and savings opportunities.
Unit Economics, Capacity & Financial Performance
- Build and maintain transaction-level cost models and unit economics by client, service, function, and BPO partner.
- Track actual versus modeled vendor savings, cost-to-collect, service margin, and productivity; partner with Finance to validate assumptions and explain variances.
- Develop capacity and throughput models that inform vendor allocation, staffing decisions, and backlog recovery plans.
- Recommend opportunities to improve gross margin without compromising cash collections, quality, or client experience.
Technology, Automation & Cross-Functional Partnership
- Identify and prioritize automation, AI, workflow, and reporting opportunities that reduce manual work, improve first-pass yield, and increase operational visibility.
- Translate operational needs into business requirements, support UAT, and quantify benefits after deployment.
- Analyze payer and clearinghouse edit performance and recommend enhancements; technical rule ownership remains with Product and Clearinghouse teams.
- Partner with Service Management on client-facing insights, Finance on forecasts, and Sales and Implementation on demand and onboarding capacity.
- Monitor payer policy and compliance-related trends, flag operational risks, and support appropriate process updates with responsible subject-matter experts.
How Success Is Measured
- Trusted KPI definitions and reliable reporting adopted by RCM leadership, Service Management, Finance, and vendor partners.
- Improved independent visibility into BPO transactions, queue status, productivity, and quality, with fewer data gaps and manual reconciliations.
- Measurable improvements in revenue-cycle performance, including AR aging, denial rates, first-pass resolution, and client time-to-value.
- Timely identification and closure of vendor performance gaps through documented corrective action plans.
- Validated improvements in unit cost, vendor savings realization, cost-to-collect, and RCM gross margin.
- Completed improvement initiatives with documented operational, financial, or client experience impact.
What You'll Bring Required
- 5+ years of healthcare revenue cycle management experience, including substantial experience with end-to-end ambulatory RCM workflows.
- 3+ years in RCM analytics, performance management, or operational improvement, with evidence of implementing measurable change.
- Demonstrated proficiency in SQL and/or a business intelligence platform such as Power BI, Tableau, or Looker, plus advanced Excel and data validation skills.
- Experience assessing outsourced or offshore BPO performance, SLAs, quality, and transaction-level productivity.
- Ability to reconcile multiple data sources, build actionable financial and operational models, and communicate findings to senior leaders.
- Working knowledge of payer reimbursement, claims processing, denials, AR management, and relevant billing requirements.
- Strong cross-functional influence, project execution, communication, and problem-solving skills.
Preferred
- Experience in a multi-client RCM services organization, ideally supporting ambulatory or multi-specialty practices.
- Familiarity with EHR/PM systems, clearinghouses, and DrChrono.
- Experience with vendor transaction-based pricing, invoice reconciliation, margin analysis, and capacity planning.
- Hands-on experience with AI-assisted analytics, reporting automation, or RCM workflow automation.
- Lean, Six Sigma, CRCR, CRCS, CPC, CPB, or related training/certification.
Where The EverCommerce team is distributed globally, with teams in the U.S., Canada, the U.K., Jordan, New Zealand, and Australia. With a widely distributed team, we are used to working remotely across different time zones. This role can be based anywhere in the United States – if you’re close to one of our offices, we can set you up in-office or you can work 100% remotely. Please note that you must be eligible to work without sponsorship to qualify for this position, and this role may require travel to our Corporate Headquarters in Denver, Colorado, or to other office locations around North America.
Benefits and Perks
- Flexibility to work where/how you want within your country of employment – in-office, remote, or hybrid
- Continued investment in your professional development
- Day 1 access to a robust health and wellness benefits package, including an annual wellness stipend.
- 401k with up to a 4% match and immediate vesting
- Flexible and generous (FTO) time-off
- Employee Stock Purchase Program
Compensation
The target base compensation for this position is $80,000 to $90,000 USD year in most US locations. Final offer amounts are determined by multiple factors including location, local market variances, and candidate experience and expertise, and may vary from the amounts listed above.
EverCommerce is an equal opportunity employer and we value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender identity, sexual orientation, age, marital status, veteran status, or disability status. We look forward to reviewing your credentials and getting to know more about your experience!
EverCommerce uses approved artificial intelligence (“AI”) tools to support its business operations. Employees are encouraged to use authorized AI tools, when appropriate for their roles, to improve efficiency, quality, and innovation. All AI use must comply with company policies, including requirements concerning confidentiality, data security, intellectual property, accuracy, and human review. Employees remain responsible for reviewing and validating AI-assisted work.
