Job purpose

The Head – Business Intelligence, Data & AI will be responsible for building and leading the enterprise-wide data, analytics, and AI capability for the Life Insurance business. The role will drive data-led decision making, advanced analytics, AI use cases, and regulatory-compliant reporting across functions such as distribution, underwriting, claims, actuarial, finance, customer experience, risk, and compliance.

This role is a strategic and execution-focused position, blending business understanding, data science, technology, and governance to deliver measurable business impact.

Key responsibilities

1. Enterprise Data & BI Strategy

• Define and own the enterprise data, analytics, and AI strategy aligned to business objectives and digital roadmap
• Establish single source of truth (SSOT) for business, actuarial, and regulatory reporting
• Lead BI transformation from descriptive to predictive and prescriptive analytics

2. Business Intelligence & Reporting

• Oversee end-to-end MIS, dashboards, and analytics across:
• Sales (Agency, Bancassurance, Digital, Partnerships)
• Persistency, productivity, and funnel analytics
• Claims, underwriting, and policy servicing
• Actuarial, finance, risk, and compliance reporting
• Drive self-service BI adoption using tools such as Power BI, Tableau, Qlik, or equivalent
• Ensure timely, accurate, and audit-ready reporting for IRDAI and internal governance

3. Advanced Analytics & AI Use Cases

• Lead development and deployment of AI/ML models, including:
• Customer segmentation and lifetime value models
• Propensity and cross-sell / upsell models
• Fraud detection (sales, underwriting, claims)
• Persistency, churn, and lapse prediction
• Claims triaging and straight-through processing
• Identify and industrialize high-impact AI use cases across the value chain

4. Data Architecture & Engineering

• Own enterprise data architecture covering:
• Data lakes / warehouses
• ETL / ELT pipelines
• Real-time and batch processing
• Partner with IT to drive cloud adoption (Azure / AWS / GCP) and modern data platforms
• Ensure data scalability, performance, and reliability

5. Data Governance, Security & Compliance

• Establish robust data governance, quality, lineage, and metadata frameworks
• Ensure compliance with:
• IRDAI regulations
• Data privacy laws (DPDP Act, GDPR where applicable)
• Internal audit and risk requirements
• Chair or contribute to Data Governance Council

6. Stakeholder Management & Business Partnership

• Act as a strategic thought partner to business heads (Sales, Operations, Actuarial, Finance, Risk)
• Translate business problems into analytics and AI solutions
• Drive adoption of insights through change management and storytelling

7. Leadership & Capability Building

• Build, mentor, and retain high-performing BI, analytics, data engineering, and data science teams
• Foster a culture of innovation, experimentation, and ethical AI
• Partner with external vendors, fintechs, and insurtechs where required

Job requirements

Qualifications

• Bachelor's or Master's degree in Business, Engineering, Data Science, or related field.
• Preference to candidates with leadership experience and certifications in Project Management and Six Sigma

Experience

10+ years of experience

Functional and Behavioral requirements

• Strong analytical, problem-solving, and strategic thinking abilities.
• Proficiency in BI tools (Power BI, Tableau), SQL, and data warehousing concepts.
• Expertise in process improvement methodologies and performance management.
• Proven ability to work independently and as a team member
• Good communication (written and oral) and interpersonal skills
• Good organizational, multi-tasking, and time-management skills