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 organizations 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.

Bachelors degree required; Masters/PhD in Data Science Statistics Mathematics Computer Science Economics Finance Actuarial Science or a related field is advantageous.