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Chief Analytics Officer (CAO) — Insurance & Investments

TheHiveCareers•Saint Vincent and the Grenadines•🌍 Remote
Full-timeMid Level
👁️ 0 views•📝 0 applications•Posted 10/3/2026•Expires 12/2/2026
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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 sci

Required Skills

Actuarial AnalysisData ScienceForecastingKPI ManagementMachine LearningUnderwriting

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