Head of Data & Analytics — Insurance & Investments

Job SummaryThe 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 ResponsibilitiesDevelop 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:UnderwritingClaimsPricingCustomer analyticsFraud detectionLoss/risk analysisSupport investment and asset-management analytics covering:Portfolio performanceInvestment riskMarket dataAsset allocationPerformance attributionClient/investor analyticsBuild 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 Profile12–18+ 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 & AnalyticsHead of AnalyticsHead of DataDirector of Data & AnalyticsDirector of AnalyticsData & Analytics DirectorChief Data OfficerChief Analytics OfficerStrong background in Insurance, Investment Management, Asset Management, Wealth Management, Banking, or Financial Services.Strong expertise in:Data strategyData governanceData architectureData managementData qualityBI and reportingAdvanced/predictive analyticsData scienceAI/MLData platformsData integrationData visualizationExperience 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