Manager / Lead Specialist - Healthcare Data Operations and Implementation
Marsh McLennanJob Description
Manager / Lead Specialist - US Healthcare - Data Operations & Implementation
Company:
MercerDescription:
Mercer is seeking candidates for the following position based in the GGN / Noida office
This is a hybrid role that has a requirement of working at least three days a week in the office.
Manager / Lead Specialist - Metrics, Analytics & Reporting - Grade D
What can you expect?
The Data Operations & Implementation Analyst is the operational core of the team, responsible for getting client data into the analytics platform accurately, completely, and on time. This role manages the end-to-end data lifecycle for employer health benefits accounts — from the moment an engagement is signed through ongoing monthly data feed operations.
This person sits between three worlds: the client (who owns the data), the carrier/PBM (who holds the data), and the analytics platform (which needs the data). Their job is to make sure data moves correctly through all three — and when it does not, to find out why and fix it.
We will count on you for:
Implementation & Onboarding
- Lead end-to-end data implementation for new client accounts — from kick-off through go-live sign-off
- Identify and document all required data feeds for each new client account: medical claims, pharmacy (Rx), eligibility, dental, vision
- Conduct kick-off calls with clients to establish data requirements, timelines, authorization processes, and escalation paths
- Obtain and review data dictionaries from each carrier — document field mappings for ETL configuration
- Track data request status across all sources; conduct weekly follow-up with carriers and PBMs to maintain timeline
Data Receipt & Validation
- Receive incoming data files via secure FTP; verify file integrity, record counts, and date range upon receipt
- Log all received files in the data tracking register with source, date, record count, and file format
- Perform eligibility file validation — member count checks, coverage date checks, Member ID format alignment, plan code verification, ZIP code validation
- Conduct initial claims file checks — verify expected carriers are represented, date ranges are complete, and financial totals are within expected ranges
Quality Review Testing (QRT)
- Execute QRT checklist following initial data load — record count reconciliation, member count reconciliation, date range verification, financial reconciliation, code validation
- Document all QRT findings in the issue log with issue type, specific example, resolution action, and owner
- Coordinate with carriers, PBMs, and client HR teams to resolve data quality issues identified during QRT
- Re-test affected data dimensions following issue resolution to confirm closure
What you need to have:
- Graduate in any discipline. No specific stream requirement.
- 5–10 years in data operations, healthcare data management, or a related function. Direct experience managing healthcare claims data feeds is strongly preferred.
- Prior experience in managed care, TPA, or health analytics implementation environment. Carrier-specific data knowledge (Aetna, BCBS, Cigna, UHC, Express Scripts) is a significant advantage.
- Healthcare, data, or analytics certifications are a plus (Not mandatory)
Technical Skills
- Proficiency in Microsoft Excel — data validation, reconciliation, record matching across large files
- Ability to work with structured data files — CSV, flat files, EDI formats
- Basic SQL or database query skills preferred — ability to count, filter, and compare records
- Familiarity with SFTP tools (WinSCP, FileZilla) and secure file handling
Domain Knowledge
- Strong command of US health benefits landscape — self-insured vs. fully-insured, stop-loss, TPA/PBM ecosystem
- Basic understanding of claims data structure — medical and pharmacy claim fields, adjudication logic, allowed vs. billed vs. paid amounts
- Awareness of key metrics key metrics — PMPM, PEPM, trend rate, utilization vs. unit cost decomposition, episode cost benchmarking
- Understanding of healthcare data identifiers — Member ID, NPI, NDC, ICD-10, CPT, HCPCS
Behavioral Competencies
- Analytical ownership — takes full responsibility for accuracy and completeness of outputs
- Proactive communication — does not wait to be asked, flags issues and opportunities early
- Consultative thinking — connects analytical findings to business implications and action
- Coaching mindset — invests in the development of junior team members
What makes you stand out?
- Adaptable communicator, facilitator, influencer and problem solver
- High attention to detail
- Good relationship skills, Proven ability to work on own initiative as well as in a team
- Ability to multi-task and prioritize time effectively
Why join our team?
- We help you be your best through professional development opportunities, interesting work and supportive leaders.
- We foster a vibrant and inclusive culture where you can work with talented colleagues to create new solutions and have impact for colleagues, clients and communities.
- Our scale enables us to provide a range of career opportunities, as well as benefits and rewards to enhance your well-being.
Experience Level
Senior LevelJob role
Job requirements
About company
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The candidate should have completed the required education and people who have 5 to 10 years are eligible to apply for this job. You can apply for more jobs in Noida to get hired quickly.
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