Job Description
Role Purpose
To lead the data management, governance, and advanced analytics agenda for the Health Insurance vertical by building scalable data capabilities, ensuring high data integrity, and driving actionable insights across claims, underwriting, provider management, and customer lifecycle.
Key Responsibilities
1. Data Governance & Management
- Establish and institutionalize data governance framework across Health business
- Drive data quality, standardization, lineage, and reconciliation controls
- Own health data assets including claims, policy, hospital/provider, and customer data
- Partner with IT to enhance enterprise Data Lake/DWH architecture
- Ensure compliance with IRDAI regulations, audit controls, and data privacy standards
2. Advanced Analytics & Business Insights
- Lead analytics use cases across:
- Claims leakage, fraud detection, and cost optimization
- Provider network performance & utilization analytics
- Customer segmentation, persistency, and retention analytics
- Underwriting risk models and pricing insights
- Build and deploy predictive models (ML-based) for fraud, claim severity, and churn
- Develop real-time / near real-time analytics capabilities where relevant
3. Business Partnering
- Collaborate with Claims, Underwriting, Product, and Distribution teams
- Act as a strategic analytics advisor for business decision-making
- Translate complex analytical outputs into simple, actionable insights for leadership
4. Data Platform & Engineering Oversight
- Guide teams on:
- ETL/ELT pipelines
- Data modeling for analytics consumption
- Data accessibility and performance optimization
- Enable self-service analytics through BI tools (Power BI/Tableau)
5. Team Leadership & Capability Building
- Lead a team of data analysts, BI developers, and data engineers
- Drive adoption of best practices in analytics, coding, documentation, and governance
- Build capability in:
- Advanced analytics (ML/AI)
- Healthcare data understanding
- Foster a data-driven culture within the Health business
Key Result Areas (KRAs)
KRA
Metric
Data Quality Improvement
% reduction in data inconsistencies / errors
Analytics Delivery
Turnaround time & business satisfaction score
Business Impact
Cost savings, fraud reduction, claims ratio improvement
Data Platform Efficiency
Data availability & pipeline uptime
Dashboard Adoption
Usage metrics across business units
Compliance
Zero major audit/IRDAI data-related observations
Functional Competencies
Technical
- Strong proficiency in SQL, Python/R
- Experience with Data Warehousing (Snowflake/Redshift/BigQuery)
- BI tools: Power BI / Tableau
- Knowledge of ETL tools (ADF, Informatica, etc.)
- Understanding of ML models and statistical techniques
Domain Expertise
- Strong understanding of Health Insurance value chain:
- Claims lifecycle
- Provider/hospital ecosystem
- Underwriting & pricing
- Exposure to fraud analytics & regulatory frameworks
Behavioral Competencies
- Strategic thinking & problem-solving
- Strong stakeholder management
- High ownership & execution focus
- Ability to influence senior leadership
Qualifications & Experience
- 8-12+ years in data analytics/data management
- Minimum 46 years in insurance (Health preferred)
- Educational background: Engineering / Statistics / Mathematics / Data Science
- MBA preferred
Job Classification
Industry: Insurance
Functional Area / Department: BFSI, Investments & Trading
Role Category: General Insurance
Role: General Insurance - Other
Employement Type: Full time
Contact Details:
Company: ICICI Lombard
Location(s): Hyderabad
Keyskills:
Data Management And Analysis
Governance Framework
Health Insurance
Provider Network
DWH architecture
strategic analytics
Power Bi
Underwriting
Audit Compliance
Tableau
Auditing
SQL
Coding
Data Lake
ETL
IRDAI regulations
Python