Head of Data & Analytics — Insurance & Investments
About this role
Job Summary
The Head of Data & Analytics leads the organization's enterprise data, analytics, and business intelligence function, turning complex data into actionable insights for strategic, operational, financial, risk, customer, and investment decisions.
Within Insurance & Investments, the role typically covers analytics across underwriting, claims, pricing, customer behavior, fraud, risk, portfolio/investment performance, financial planning, regulatory reporting, and enterprise performance.
Key Responsibilities
Develop and execute the enterprise Data & Analytics strategy and roadmap.
Lead data governance, data management, data quality, and data stewardship.
Establish enterprise-wide analytics standards, frameworks, and KPIs.
Lead Business Intelligence (BI), advanced analytics, predictive analytics, and data science.
Develop dashboards, management reporting, executive insights, and decision-support tools.
Support insurance analytics covering:
Underwriting
Claims
Pricing
Customer analytics
Fraud detection
Loss/risk analysis
Support investment and asset-management analytics covering:
Portfolio performance
Investment risk
Market data
Asset allocation
Performance attribution
Client/investor analytics
Build and maintain data warehouses, data lakes, analytical platforms, and data pipelines.
Drive data integration across policy administration, claims, CRM, finance, investment, risk, and other enterprise systems.
Implement predictive models, AI/ML, and automation where appropriate.
Ensure data accuracy, completeness, consistency, availability, lineage, and accessibility.
Partner with IT/Data Engineering on cloud, architecture, APIs, platforms, and modernization.
Ensure compliance with data privacy, security, regulatory, and financial-services requirements.
Provide reliable data for financial, risk, actuarial, management, and regulatory reporting.
Lead data transformation and the adoption of self-service analytics.
Manage analytics/data teams, technology partners, vendors, budgets, and delivery priorities.
Present data-driven insights and recommendations to senior executives and business leaders.
Promote a strong data-driven decision-making culture across the organization.
Ideal Candidate Profile
12–18+ years of experience in data, analytics, BI, data science, information management, or technology.
5+ years in senior data/analytics leadership.
Experience as:
Head of Data & Analytics
Head of Analytics
Head of Data
Director of Data & Analytics
Director of Analytics
Data & Analytics Director
Chief Data Officer
Chief Analytics Officer
Strong background in Insurance, Investment Management, Asset Management, Wealth Management, Banking, or Financial Services.
Strong expertise in:
Data strategy
Data governance
Data architecture
Data management
Data quality
BI and reporting
Advanced/predictive analytics
Data science
AI/ML
Data platforms
Data integration
Data visualization
Experience leading enterprise-wide transformation and multidisciplinary teams.
Strong understanding of financial-services data, risk, regulatory, and reporting requirements.
Ability to work with C-suite executives, Finance, Risk, Actuarial, Investments, Operations, IT, and business leadership.
Originally posted on Himalayas
