Head of Data & Analytics — Insurance & Investments

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.