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 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.

Originally posted on Himalayas