Head of Data — Insurance & Investments

thehivecareers.co

About The Position

The Head of Data leads the organization's enterprise data function, ensuring that data is governed, trusted, accessible, secure, and effectively used for business decision-making. Within Insurance & Investments, the role supports data requirements across underwriting, claims, customer analytics, investment/portfolio management, finance, risk, compliance, regulatory reporting, and corporate operations.

Requirements

12–18+ years of experience in data, analytics, information management, technology, or related fields.
5+ years in Head of Data, Head of Data & Analytics, Data Director, Director of Data, CDO, or equivalent leadership roles.
Experience managing enterprise data transformation programs and multidisciplinary teams.
Strong understanding of financial-services data and regulatory requirements.
Strong stakeholder-management skills with CIO, CTO, CDO, CFO, Risk, Investment, and business leadership.
Bachelor's degree in Computer Science, Data Science, Information Systems, Statistics, Engineering, or related discipline.

Nice To Haves

Experience in insurance, investment management, asset management, banking, wealth management, or financial services preferred.
Strong expertise in: Enterprise data strategy
Data governance
Data architecture
Data management
Data quality
Data integration
Data platforms
Business intelligence
Advanced analytics
AI / machine learning
Data privacy & security
Master data management
Regulatory data

Responsibilities

Develop and execute the organization's enterprise data strategy and roadmap.
Establish and maintain data governance, policies, standards, ownership, and controls.
Improve data quality, accuracy, consistency, completeness, and availability.
Lead enterprise data management, architecture, integration, and platform initiatives.
Oversee data warehouses, data lakes, data platforms, master data, metadata, and data pipelines.
Lead Business Intelligence (BI), reporting, analytics, and data science capabilities.
Support AI and machine-learning initiatives through high-quality and accessible data.
Develop data solutions for underwriting, claims, pricing, fraud, customer analytics, and risk.
Support investment teams through portfolio, performance, market, client, and investment data.
Establish data lineage, classification, access controls, privacy, and data-security practices.
Partner with IT/technology teams on cloud data platforms, architecture, APIs, and systems integration.
Ensure reliable data for financial, management, regulatory, and compliance reporting.
Lead data modernization and transformation programs.
Establish data-quality KPIs and monitor data governance and platform performance.
Manage data vendors, technology partners, budgets, and strategic initiatives.
Build, lead, and develop data engineering, analytics, governance, BI, and data-science teams.
Promote a data-driven culture across the organization.