Working Hours:

Full-time role (40 hours/week).

Shift: 08:00 AM – 05:00 PM IST (subject to change based on project requirements).

Weekends: Off (may vary based on business needs).

Telecommuter/Internet requirements, if applicable:

High Speed internet connection at home must be broadband.

Must understand and adhere with telecommuter policy

Skills and abilities:

- Should have a good understanding of the US healthcare system and management.
- Should have thorough understanding of healthcare payer analytics specifically the business model for datamining operations.
- Preferably candidates should have work experience in the data mining Medicare or Commercial line of business.
- Should have thorough understanding of the payer system loopholes in the claims cost management.
- Should be able to think beyond horizon as ways to clog in those gaps for realizing higher revenue for datamining program.
- Will be responsible for auditing claims on Medicare or Commercial business based various data mining concepts to find overpayments.




- Will be responsible for bringing in current idea to refine concept to remove false positive
- The position is purely metrics and target driven in the perspective of claim audits to initiate overpayment that exist in deployed data mining concepts.
- The position will be strictly evaluated based on the accuracy over claim audits and overpayments identification
- Should possess a strong interpersonal skill set to be able to work well with other people/teams, including in teams or groups, formally and informally.
- Should be able to work independently with minimal guidance.
- Should be purely data and metrics driven person and discuss with Manager on a regular basis on the program/individual.

Experience: Claims Adjudication experience: Minimum 9 years

Overpayment experience.

Prefer candidates with experience in Post adjudication/overpayment projects.

Qualification:

Graduation is mandatory.

📌 Lead Assistant Manager - Datamining (Hyderabad)
🏢 EXL Talent Acquisition Team
📍 Hyderabad