Usage of Conventional AI

Virtusa utilizes Artificial Intelligence (AI) technology for the purpose of conducting candidate pre-employment assessments. This AI may include both text-based and voice-based functionalities. The AI technology will have access to the data that you upload or provide during your interaction with the AI bot and will use such data solely for the purpose of performing assessment in accordance with Virtusa policies and practices. The AI is not used to substantially assist or replace discretionary employment decisions. Read our full employee privacy policy here.

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Cloud Data Science Lead

Hyderabad, Andhra Pradesh, India
Posted on: 12-02-2026

Job description

The Data Lead is responsible for the architecture, quality, and governance of the data pipelines supporting Mercer’s Health & Benefits and C&B consulting practices. You will lead a team of data engineers and analysts to transform raw insurance and payroll data into the structured intelligence that powers Mercer’s benchmarking and predictive analytics platforms.

Key Responsibilities
Data Strategy & Architecture: Design and oversee scalable data pipelines (ETL/ELT) that aggregate global healthcare claims, premium data, and multi-country salary surveys.

Domain Integration: Ensure technical alignment between Healthcare datasets (Inpatient/Outpatient costs, Rx trends) and Compensation datasets (Base Pay, STI/LTI, IPE Leveling) to provide a Total Cost of People view.

Data Governance & Security: Enforce strict HIPAA and GDPR compliance protocols. You are responsible for the anonymization and encryption of sensitive PHI and PII throughout the data lifecycle.

Advanced Analytics: Collaborate with Actuaries and Data Scientists to build predictive models for medical inflation, What-if benefits restructuring, and pay-equity audits.

Stakeholder Management: Act as the technical liaison between the Digital Engineering team and Functional SMEs to ensure data models accurately reflect real-world insurance and labor market logic.

Technical Skills & Qualifications
Data Engineering: Expert-level SQL, Python/PySpark, and experience with modern data stack tools (Databricks, Snowflake, or Azure Synapse).

Orchestration: Proficiency in managing complex workflows using Airflow or Azure Data Factory.

Visualization: Strong understanding of how to structure data for high-performance consumption in Power BI or Tableau.

Domain Expertise: 8+ years in Data Management, with a significant background in Healthcare (claims/clinical data) or HR-Tech (Payroll/Total Rewards).

Leadership: 3+ years leading technical teams in an Agile environment.

 Key job details

Primary Location
Hyderabad, Andhra Pradesh, India
Job Type
Experienced
Primary Skills
Python
Years of Experience
5
Travel
No
Job Posting
12/02/2026

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