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Senior Manager - Data Mining & Exploratory Intelligence

Pay
$93,900–154,200/year · BaseAnnual period assumed — pay source
The ideal candidate brings extensive hands-on claims experience and can “reverse engineer” claims behavior to inform data-driven strategies, tools, and controls. *Base Pay Range: $93,900- $154,200 For more information on benefits and what we offer please visit us at https://www.exlservice.com/us-careers-and-benefits
Read the full posting
Work setting
Remote — work setting source
Work setup in the employer’s posting: Work From Home
From the employer’s posting
Employment
Not stated

What you’ll work on

Full posting
  • Lead exploratory analysis of claims data to find anomalies and overpayments

  • Apply billing, coding and reimbursement knowledge to guide data mining work

  • Reverse engineer claims outcomes to find root causes of payment issues

  • Turn claims insights into use cases and solution ideas for analytics and product teams

From the employer’s posting
Lead exploratory analysis of claims data to identify utilization patterns, anomalies, and potential overpaid or inappropriate claims
Apply deep knowledge of billing rules, coding, reimbursement, and workflows to guide data mining and investigative efforts
Perform reverse engineering of claims outcomes to understand root causes of payment issues and system behaviors
Translate operational and claims insights into clear use cases, concepts, and solution ideas for analytics and product teams

What you’ll bring

All qualifications

Core experience

  • Extensive hands-on claims experience
  • Deep knowledge of billing rules, coding and reimbursement
Qualification wording
The ideal candidate brings extensive hands-on claims experience
Apply deep knowledge of billing rules, coding, reimbursement, and workflows
Apply at EXL Service

Posting record

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Actively hiringFirst seen by us 1 day ago, still listed, and not a repost of an earlier posting.

Status in our records
Live
First seen by us
Nov 4, 20261 day ago
Recorded sightings
2
Last seen by us
Nov 5, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Pay

Lower than most similar jobs

$93.9K–$154K against $154K–$225K, the middle half of what similar US postings state.

From 2,958 postings in the last year. Stated ranges, not salaries paid.

Time since we first saw it

Day 1

Early. Similar jobs usually come down between day 7 and day 54.

At EXL Service, jobs usually come down by about day 17.

From 8,046 similar postings that came down, and 219 of EXL Service’s. Coming down is not always a hire.

EXL Service is hiring

202 open jobs

Open jobs by the week we first saw them, last 12 weeks.

  • Takes jobs down at a usual pace
  • 4% of open jobs were reposted
Hiring record

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About EXL Service

People
About 65,000 in 2025, up 9% from the year before.Annual report (SEC Form 10-K)
Company
Listed as EXLS.

Demand for Data Leadership roles

New Data Leadership postings at the employers we follow are up 7% over the last 5 weeks compared with the 5 before.

Weekly new Data Leadership postings at the same employers, from the week of August 17 to the week of October 26. The fewest in a week was 789, the most 1,208, and the latest week had 846.
August 17Last week

Each bar is one week of new postings. The darkest bars are the last 5 weeks.

Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.

About the role

We file this job under Data Leadership, by the work the posting describes.

Data leaders run data teams or design how a company's data fits together. Managers hire, set priorities and answer for whether the data work pays off; architects choose the systems and the shape of the data.

Expect years of hands-on data work, experience leading people or projects, and the ability to explain tradeoffs to executives.

Unlike a senior engineer or analyst, most of a data leader's week goes to people, planning and decisions rather than building.

US government figures for computer and information systems managers

Median yearly pay, May 2025
$175,140
Expected change, 2025 to 2035
15.8% more jobsagainst 3.5% for all jobs

The government has no code for data leaders, so these figures are for the closest group, computer and information systems managers, which includes data processing and data operations managers.

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 11-3021.

Job description

View original posting ↗

We are seeking a seasoned Claims Domain Subject Matter Expert in our CRE – Concept research & exploratory team within our Datamining COE for exploratory claims analysis and support the development of advanced data mining capabilities. This role will focus on identifying claims patterns, anomalies, and potential overpayments across Medicare, Medicaid and commercial platforms, while translating deep operational insight into actionable analytics concepts and solutions.

 

The ideal candidate brings extensive hands-on claims experience and can “reverse engineer” claims behavior to inform data-driven strategies, tools, and controls.

 

*Base Pay Range: $93,900- $154,200

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

• Lead exploratory analysis of claims data to identify utilization patterns, anomalies, and potential overpaid or inappropriate claims

• Apply deep knowledge of billing rules, coding, reimbursement, and workflows to guide data mining and investigative efforts

• Perform reverse engineering of claims outcomes to understand root causes of payment issues and system behaviors

• Translate operational and claims insights into clear use cases, concepts, and solution ideas for analytics and product teams

• Partner closely with analytics, product, and strategy teams to ensure solutions align with real-world claims operations

• Validate data-driven findings against practical claims and payment realities

• Clearly communicate insights, risks, and opportunities to both technical and non-technical stakeholders

• Support ongoing refinement and scaling of claims monitoring and overpayment detection capabilities

• 10+ years of experience in operations with a strong focus on claims adjudication and payment Integrity

• Extensive experience across Medicare, Medicaid or/ and commercial platforms

• Demonstrated expertise in 360-degree claims review, auditing, and payment integrity

• Proven ability to identify patterns, anomalies, and inappropriate payments within large claims datasets

• Strong analytical mindset with the ability to bridge operations and data science

• Experience collaborating with cross-functional teams (analytics, product, strategy, compliance)

• Excellent communication skills with the ability to explain complex claims concepts clearly

• Prior involvement in payment integrity, SIU, or recovery initiatives

• Experience supporting or designing claims analytics or data mining programs

• Familiarity with common coding schemes, authorization models, and provider billing behaviors

 

*The posted base salary range is the hiring base salary range for this role. 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.

Source details

View original posting ↗

Source notes

Source excerpts

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Pay
The ideal candidate brings extensive hands-on claims experience and can “reverse engineer” claims behavior to inform data-driven strategies, tools, and controls. *Base Pay Range: $93,900- $154,200 For more information on benefits and what we offer please visit us at https://www.exlservice.com/us-careers-and-benefits
Location & working pattern

United States

Working pattern and location restrictions need checking in the full posting.

Work authorization

No clear work-authorization passage found. Eligibility is unconfirmed.

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