Head of Data & Analytics — Insurance & Investments

thehivecareers.co; Charlotte Amalie (United States Virgin Islands); On-site; USD 180,000 - 240,000; Full time

Job summary

thehivecareers.co seeks a Head of Data & Analytics to steer the organization's enterprise data, analytics, and BI functions, turning complex data into actionable insights for strategic, operational, financial, risk, customer, and investment decisions.

Role spans underwriting, claims, pricing, customer analytics, fraud, risk, portfolio performance, and regulatory reporting, with ownership of data platforms and analytics maturity. Collaboration with IT and senior leadership is essential.

Qualifications

• 12–18+ years of experience in data, analytics, BI, data science, information management, or technology.
• 5+ years in senior data/analytics leadership.
• Experience in roles such as Head of Data & Analytics, Director of Analytics, or Chief Data Officer.
• Strong background in Insurance, Investment Management, Asset Management, Banking, or Financial Services.
• Expertise in data strategy, governance, architecture, management, quality, BI and reporting, advanced/predictive analytics, data science, AI/ML, data platforms, data integration, and data visualization.
• Experience leading enterprise-wide transformation and multidisciplinary teams.
• Understanding of financial-services data, risk, regulatory, and reporting requirements.
• Ability to work with C-suite executives and business leadership.

Responsibilities

• Develop and execute the enterprise Data & Analytics strategy and roadmap.
• Lead data governance, data management, data quality, and data stewardship.
• Establish enterprise-wide analytics standards, frameworks, and KPIs.
• Lead BI, advanced analytics, predictive analytics, and data science.
• Develop dashboards, management reporting, executive insights, and decision-support tools.
• Support insurance analytics covering underwriting, claims, pricing, customer analytics, fraud detection, loss/risk analysis.
• Support investment and asset-management analytics covering portfolio performance, risk, market data, asset allocation, attribution, client analytics.
• Build and maintain data warehouses, data lakes, analytical platforms, and data pipelines.
• Drive data integration across policy admin, claims, CRM, finance, investment, risk, and other systems.
• Implement predictive models, AI/ML, and automation where appropriate.
• Ensure data accuracy, completeness, consistency, availability, lineage, and accessibility.
• Partner with IT/Data Engineering on cloud, architecture, APIs, platforms, and modernization.
• Ensure compliance with data privacy, security, regulatory, and financial-services requirements.
• Provide reliable data for financial, risk, actuarial, management, and regulatory reporting.
• Lead data transformation and the adoption of self-service analytics.
• Manage analytics/data teams, technology partners, vendors, budgets, and delivery priorities.
• Present data-driven insights to senior executives and business leaders.
• Promote a data-driven decision-making culture across the organization.

Skills

Data strategy

Data governance

Data architecture

Data management

Data quality

BI & reporting

Advanced analytics

Data science

AI/ML

Data platforms

Data integration

Data visualization

Leadership

Cross-functional collaboration

Job description

Job Summary

The Head of Data & Analytics leads the organization's enterprise data, analytics, and business intelligence function, turning complex data into actionable insights for strategic, operational, financial, risk, customer, and investment decisions.

Within Insurance & Investments, the role typically covers analytics across underwriting, claims, pricing, customer behavior, fraud, risk, portfolio/investment performance, financial planning, regulatory reporting, and enterprise performance.

Key Responsibilities

• Develop and execute the enterprise Data & Analytics strategy and roadmap.
• Lead data governance, data management, data quality, and data stewardship.
• Establish enterprise-wide analytics standards, frameworks, and KPIs.
• Lead Business Intelligence (BI), advanced analytics, predictive analytics, and data science.
• Develop dashboards, management reporting, executive insights, and decision-support tools.
• Support insurance analytics covering:
  • Underwriting
  • Claims
  • Pricing
  • Customer analytics
  • Fraud detection
  • Loss/risk analysis
• Support investment and asset-management analytics covering:
  • Portfolio performance
  • Investment risk
  • Market data
  • Asset allocation
  • Performance attribution
  • Client/investor analytics
• Build and maintain data warehouses, data lakes, analytical platforms, and data pipelines.
• Drive data integration across policy administration, claims, CRM, finance, investment, risk, and other enterprise systems.
• Implement predictive models, AI/ML, and automation where appropriate.
• Ensure data accuracy, completeness, consistency, availability, lineage, and accessibility.
• Partner with IT/Data Engineering on cloud, architecture, APIs, platforms, and modernization.
• Ensure compliance with data privacy, security, regulatory, and financial-services requirements.
• Provide reliable data for financial, risk, actuarial, management, and regulatory reporting.
• Lead data transformation and the adoption of self-service analytics.
• Manage analytics/data teams, technology partners, vendors, budgets, and delivery priorities.
• Present data-driven insights and recommendations to senior executives and business leaders.
• Promote a strong data-driven decision-making culture across the organization.

Ideal Candidate Profile

• 12–18+ years of experience in data, analytics, BI, data science, information management, or technology.
• 5+ years in senior data/analytics leadership.
• Experience as:
  • Head of Data & Analytics
  • Head of Analytics
  • Head of Data
  • Director of Data & Analytics
  • Director of Analytics
  • Data & Analytics Director
  • Chief Data Officer
  • Chief Analytics Officer
• Strong background in Insurance, Investment Management, Asset Management, Wealth Management, Banking, or Financial Services.
• Strong expertise in:
  • Data strategy
  • Data governance
  • Data architecture
  • Data management
  • Data quality
  • BI and reporting
  • Advanced/predictive analytics
  • Data science
  • AI/ML
  • Data platforms
  • Data integration
  • Data visualization
• Experience leading enterprise-wide transformation and multidisciplinary teams.
• Strong understanding of financial-services data, risk, regulatory, and reporting requirements.
• Ability to work with C-suite executives, Finance, Risk, Actuarial, Investments, Operations, IT, and business leadership.