Head of Enterprise Data Architecture

pWe are seeking an experienced Head of Enterprise Data Architecture to define and lead the enterprise-wide data architecture strategy. This role will shape how data is governed, integrated, modeled, secured, and leveraged across PC, LH, finance, risk, and corporate functions. br/As a senior leader, you will be expected to be a hands-on driver of change, bringing strong data acumen and the ability to dive deeply into the reinsurance domain. You will partner with business executives, technology leadership, data modeling, and governance teams to establish a scalable, secure, and future-ready data architecture that enables strategic priorities, regulatory expectations, and operational efficiency. The role will collaborate closely with the Chief Data Officer organization and domain data modelers to translate business needs into practical, high-quality data architecture outcomes. /pbr/lipDefine and own the global enterprise data architecture strategy, principles, standards, and roadmap across the organization. /p /lilipLead the design of target-state data architecture, enterprise data model, integration patterns, metadata, master data, data lineage, and data quality frameworks. /p /lilipPartner with business and technology stakeholders to translate strategic priorities into practical data architecture capabilities and implementation plans. /p /lilipDrive alignment across data domains, systems, platforms, and regions to enable consistent, trusted, and reusable enterprise data assets. /p /lilipShape the architecture for unstructured data and its integration with AI platforms by aligning with the AI team on how unstructured data assets are captured, governed, classified, enriched, and made usable for analytics, knowledge discovery, and AI-enabled use cases across the reinsurance value chain. /p /lilipCollaborate with the data governance team to establish governance mechanisms to ensure compliance with data privacy, security, regulatory, and risk management requirements in a global financial services environment. /p /lilipGuide major transformation programs, including legacy modernization, platform consolidation, data product development, and enterprise analytics enablement. /p /lilipMentor and closely collaborate with domain data modelers in the data foundation unit. /p /lilipInfluence senior stakeholders and architecture governance forums to promote data architecture best practices and investment priorities. /p /lilipMonitor industry trends, emerging technologies, and regulatory developments relevant to insurance, reinsurance. /p /lipLeadership Expectations : /plipAct as a trusted advisor to senior executives on data architecture, data strategy, and digital transformation. /p /lilipBuild strong relationships across global business units, technology teams, risk, compliance, and data governance functions. /p /lilipCreate clarity, structure, and momentum in complex transformation environments. /p /lilipPromote a culture of collaboration, accountability, innovation, and responsible data use /p /libr/lipExtensive experience in enterprise data architecture, data strategy, or senior data technology leadership roles within complex, global organizations. /p /lilipStrong understanding of insurance, reinsurance, financial services, or highly regulated industries. /p /lilipProven experience designing enterprise-scale data architectures across cloud, hybrid, and legacy technology landscapes. /p /lilipDeep knowledge of data modeling, data integration, master data management, data governance, data quality, and data lifecycle management. /p /lilipExperience with modern data platforms and technologies such as Databricks and Palantir Foundry, lake house architectures, integration approaches, BI platforms, and analytics tooling. /p /lilipStrong knowledge of data security, privacy, regulatory, and compliance requirements, including cross-border data considerations. /p /lipRequired experience competencies /plipExtensive experience in enterprise data architecture, data strategy, or senior data technology leadership roles within complex, global organizations. /p /lilipStrong understanding of insurance, reinsurance, financial services, or highly regulated industries. /p /lilipProven experience designing enterprise-scale data architectures across cloud, hybrid, and legacy technology landscapes. /p /lilipDeep knowledge of data modeling, data integration, master data management, data governance, data quality, and data lifecycle management. /p /lilipExperience with modern data platforms and technologies such as Databricks and Palantir Foundry, lake house architectures, integration approaches, BI platforms, and analytics tooling. /p /lilipStrong knowledge of data security, privacy, regulatory, and compliance requirements, including cross-border data considerations. /p /lilipDemonstrated ability to influence executive stakeholders and drive architecture decisions across business, technology, and governance forums. /p /lilipSuccessful track record leading architecture and data teams and developing talent. /p /lilipExcellent communication, facilitation, negotiation, and change leadership skills. /p /lipPreferred skills : /plipExperience in reinsurance domains such as underwriting, pricing, claims, reserving, catastrophe modeling, actuarial analytics, risk management, or capital modeling. /p /lilipFamiliarity with regulatory and reporting expectations affecting global insurers and reinsurers. /p /lilipExperience enabling AI, machine learning, advanced analytics, and data product operating models. /p /lilipKnowledge of enterprise architecture frameworks and architecture governance practices. /p /lilipRelevant certifications in cloud platforms, data architecture, enterprise architecture, or data governance are advantageous. /p /lipRequired Education /plipMaster’s degree in Computer Science /p /li