Chief Analytics Officer (CAO) — 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 selectionClaims and loss analysisPricing and profitabilityCustomer segmentation and retentionFraud detectionRisk and capital analyticsPortfolio and investment performanceAsset allocationMarket and investment researchFinancial forecastingRegulatory 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 OfficerChief Data & Analytics OfficerChief Data OfficerHead of Data & AnalyticsHead of AnalyticsGroup Head of AnalyticsDirector of Data & AnalyticsAnalytics DirectorVP Data & Analytics

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

Strong understanding of:Advanced analyticsPredictive modellingAI/MLData scienceBusiness intelligenceData strategyData governanceData architectureStatistical modellingData visualizationScenario/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.