Chief Analytics Officer — Insurance & Investments

Job Summary

The Chief Analytics Officer (CAO) is the executive leader responsible for using enterprise data, advanced analytics, AI, and business intelligence to improve strategic and operational decision-making.

Within Insurance & Investments, the CAO typically oversees analytics across underwriting, claims, pricing, customer intelligence, fraud, risk, actuarial insights, investment performance, portfolio analytics, financial planning, regulatory reporting, and enterprise performance.

Key Responsibilities

• Define and execute the organization's enterprise analytics strategy.
• Establish an enterprise-wide analytics operating model, roadmap, standards, and priorities.
• Lead advanced analytics, predictive analytics, AI/ML, data science, and business intelligence.
• Translate complex data into actionable insights for CEO, Board, executives, and business leaders.
• Develop analytics capabilities for:
  • Underwriting and risk selection
  • Claims and loss analysis
  • Pricing and profitability
  • Customer segmentation and retention
  • Fraud detection
  • Risk and capital analytics
  • Portfolio and investment performance
  • Asset allocation
  • Market and investment research
  • Financial forecasting
  • Regulatory and management reporting
• Establish enterprise analytics KPIs and measurement frameworks.
• Drive predictive modelling and scenario analysis to support strategic decisions.
• Partner with the CIO/CDO/CTO on data architecture, data platforms, governance, integration, and technology modernization.
• Ensure analytical models use reliable, governed, secure, and appropriately controlled data.
• Develop self-service BI and executive dashboards.
• Identify opportunities for AI and automation across business functions.
• Establish model governance, validation, monitoring, and responsible AI practices.
• Support actuarial, risk, finance, investment, compliance, and executive decision-making.
• Lead enterprise analytics transformation and data-driven culture.
• Build, manage, and develop high-performing teams across analytics, data science, BI, and AI.
• Manage analytics budgets, vendors, strategic technology partners, and external data providers.
• Communicate analytical findings and business implications to senior executives and the Board.
• Ensure analytics activities align with regulatory, privacy, risk, and financial-services requirements.

Ideal Candidate Profile

15+ years of experience across analytics, data science, BI, statistics, quantitative analysis, or related fields.

7+ years in senior analytics/data leadership.

Previous experience as:

• Chief Analytics Officer
• Chief Data & Analytics Officer
• Chief Data Officer
• Head of Data & Analytics
• Head of Analytics
• Group Head of Analytics
• Director of Data & Analytics
• Analytics Director
• VP Data & Analytics

Strong experience in Insurance, Banking, Investment Management, Asset Management, Wealth Management, or Financial Services.

Strong understanding of:

• Advanced analytics
• Predictive modelling
• AI/ML
• Data science
• Business intelligence
• Data strategy
• Data governance
• Data architecture
• Statistical modelling
• Data visualization
• Scenario/stress testing

Experience converting analytics into measurable business outcomes.

Strong executive stakeholder management and Board-level communication.

Experience leading large, multidisciplinary analytics/data teams.

Strong commercial and strategic understanding of financial-services businesses.

Bachelor's degree required; Master's/PhD in Data Science, Statistics, Mathematics, Computer Science, Economics, Finance, Actuarial Science, or a related field is advantageous.