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.
TheHiveCareers is an insurance organization that develops and manages comprehensive insurance products across life, health, and property & casualty lines. The company focuses on digital transformation, data-driven decision-making, and customer-centric product innovation to drive growth and competitive advantage. They operate with emphasis on regulatory compliance (including IFRS 17 standards), advanced analytics, and emerging technologies such as AI and embedded insurance solutions. The organization leverages analytics, automation, and digital channels to enhance operational efficiency and deliver seamless customer experiences across multiple distribution channels including agencies, bancassurance, and digital platforms.
