Chief Analytics Officer (CAO) — Insurance & Investments

thehivecareers.co; San Juan (PR); On-site; USD 200,000 - 350,000; Full time

Job summary

Thehivecareers.co is seeking an accomplished Chief Analytics Officer (CAO) to lead enterprise analytics, data science, and AI initiatives across underwriting, claims, pricing, and risk. The role drives strategic decision-making with advanced analytics, BI, and governance across the organization.

Ideal candidates bring 15+ years in analytics and 7+ years in senior data leadership within Financial Services, Insurance, or Investment Management, with strong executive communication skills and a track

Qualifications

• 15+ years of analytics, data science, BI, statistics or related fields.
• 7+ years in senior analytics/data leadership roles.
• Experience as CAO, CDAO, or equivalent leadership roles in financial services is preferred.

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.

Skills

Analytics leadership

Data science

Business intelligence

Statistics

AI/ML

Executive communication

Education

Bachelor's degree

Master's or PhD advantageous

Job description

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.