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EXL

Payment Integrity Concept Development SME

Posted Yesterday
Be an Early Applicant
Remote
Hiring Remotely in United States
75K-107K Annually
Mid level
Remote
Hiring Remotely in United States
75K-107K Annually
Mid level
Design, develop, validate payment integrity concepts to detect inaccurate or unsupported healthcare claims. Analyze professional, facility, ASC, and hospital claims; translate coding and regulatory guidance into scalable claims-editing logic; validate via record review; collaborate with analysts/engineers to productionize algorithms; evaluate performance and support client implementation and audits.
The summary above was generated by AI

The Subject Matter Expert (SME) – Payment Integrity Concept Development is responsible for designing, developing, and validating innovative payment integrity concepts that identify inaccurate, inappropriate, or unsupported healthcare claims. This individual combines deep expertise in medical coding, reimbursement methodologies, clinical documentation, regulatory guidance, and claims analytics to develop high-value overpayment detection opportunities that generate measurable savings.

The ideal candidate has a proven history of successfully developing new payment integrity concepts from initial idea through implementation, resulting in significant financial recoveries while maintaining high clinical accuracy and low provider abrasion.

*Base Pay Range: $75,100 - $107,300/yr 

For more information on benefits and what we offer please visit us at https://www.exlservice.com/us-careers-and-benefits

Responsibilities
  • Develop new payment integrity concepts by identifying emerging coding, billing, reimbursement, and documentation vulnerabilities.
  • Perform detailed analysis of professional, outpatient facility, ASC, and hospital claims to identify potential overpayment opportunities.
  • Translate coding guidelines, CPT®, HCPCS, ICD-10-CM/PCS, NCCI edits, CMS regulations, payer policies, and specialty society recommendations into scalable claims editing logic.
  • Design claims selection criteria using CPT, HCPCS, ICD-10 diagnosis, revenue codes, modifiers, units, place of service, device codes, and other claims attributes.
  • Validate concepts through claims research, medical record review, and provider documentation analysis.
  • Collaborate with data analysts and engineers to convert clinical concepts into production-ready algorithms and SQL logic.
  • Evaluate concept performance using savings, precision, hit rate, provider appeal rates, false-positive rates, and return on investment.
  • Identify trends in coding changes, emerging procedures, new technologies, and reimbursement methodologies that may create new payment integrity opportunities.
  • Serve as the clinical and coding expert during concept implementation, client discussions, and audit support.
Qualifications

Required Qualifications:

  • Bachelor's degree in Health Information Management, Nursing, Healthcare Administration, or related field (or equivalent experience).
  • Minimum 3 - 5 years of healthcare payment integrity, medical coding, clinical auditing, or claims analytics experience.
  • Demonstrated success developing original payment integrity concepts that achieved measurable savings.
  • Extensive knowledge of:
    • CPT®, HCPCS Level II, and ICD-10-CM/PCS
    • CMS regulations and reimbursement methodologies
    • NCCI Policy Manual and Correct Coding Initiative edits
    • OPPS, ASC, and physician fee schedule reimbursement
    • Commercial payer reimbursement policies
    • Medical necessity and clinical documentation requirements
  • Experience interpreting operative reports, procedure notes, and medical records.
  • Strong analytical and critical thinking skills with the ability to recognize complex billing patterns.
  • Experience working with large healthcare claims databases and translating clinical logic into technical requirements.
  • Excellent written and verbal communication skills.

 

Preferred Qualifications:

  • CPC®, CCS®, RHIA®, RHIT®, CPMA®, CIRCC®, or equivalent certification.
  • Experience with SQL or working closely with data engineering teams.
  • Experience supporting AI-assisted payment integrity or predictive analytics initiatives.
  • Knowledge of high-cost implant validation, specialty procedure coding, device-to-procedure relationships, and emerging medical technologies.
  • Experience developing concepts across multiple specialties including gastroenterology, ophthalmology, cardiovascular, orthopedics, vascular surgery, general surgery, interventional radiology, and dialysis access procedures.

 

Ideal Candidate Profile:

The successful candidate is naturally curious and continuously looks beyond established edits to identify new reimbursement vulnerabilities. They possess a unique combination of clinical knowledge, coding expertise, analytical thinking, and creativity, enabling them to recognize patterns that others overlook. They have a documented history of transforming complex coding guidance into scalable payment integrity solutions that deliver significant financial value.

 

*The posted range is the hiring range for this role — a subset of the broader range available to employees over time — and reflects base salary across our national hiring scale. Final offers are based on several factors, including the candidate's skills and experience, internal pay equity, work location, market conditions for the role, and the specific scope and responsibilities of the position. The top of the range is reserved for candidates who notably exceed the requirements; the lower end applies to those with less experience or fewer preferred qualifications. For positions based in higher-cost zones (e.g., California, New York, New Jersey), actual compensation may exceed the posted range; your recruiter will share specifics during the process.

About Us
EXL (NASDAQ: EXLS) is a leading data analytics and digital operations and solutions company. We partner with clients using a data and AI-led approach to reinvent business models, drive better business outcomes and unlock growth with speed. EXL harnesses the power of data, analytics, AI, and deep industry knowledge to transform operations for the world’s leading corporations in industries including insurance, healthcare, banking and financial services, media and retail, among others. EXL was founded in 1999 with the core values of innovation, collaboration, excellence, integrity and respect. We are headquartered in New York and have more than 54,000 employees spanning six continents. For more information, visit www.exlservice.com.


EXL never requires or asks for fees/payments or credit card or bank details during any phase of the recruitment or hiring process and has not authorized any agencies or partners to collect any fee or payment from prospective candidates. EXL will only extend a job offer after a candidate has gone through a formal interview process with members of EXL’s Human Resources team, as well as our hiring managers.
About the TeamEXL is the indispensable partner for leading businesses in data-led industries such as insurance, banking and financial services, healthcare, retail and logistics. We bring a unique combination of data, advanced analytics, digital technology and industry expertise to help our clients turn data into insights, streamline operations, improve customer experience, and transform their business. Our partnerships with clients are built on a foundation of collaboration – and we’ve been chosen as a partner by nine of the top ten leading US insurance companies, nine of the top 20 global banks, and six of the top ten US health care payers. We function as one team to make your goals our goals, whether that’s unlocking the value of generative AI or embedding analytics into workflows that reduce risk or power your growth. Clients choose EXL as their transformation partner for many reasons. Our geographic diversity make talent all over the world instantly accessible. Digital accelerators enable unmatched speed-to-value, letting you realize results fast. It’s our people that truly set us apart, though, including the 1,500 data scientists we have dedicated to our generative AI practice. And our more than twenty years of experience in delivering business services, garnering stellar client references, and maintaining a solid balance sheet are reassuring to our C-suite clients. Find out for yourself why clients, employees, and analysts think we’re some of the best in the business. Contact us to see how we can help you achieve your goals.

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