Head of Data & Analytics — Insurance & Investments

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. Originally posted on Himalayas