Executive Director, Cloud Data Platforms & Engineering

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You desire impactful work. You're RGA ready RGA is a purpose-driven organization working to solve today's challenges through innovation and collaboration. A Fortune 200 Company and listed among its World's Most Admired Companies , we're the only global reinsurance company to focus primarily on life- and health-related solutions. Join our multinational team of intelligent, motivated, and collaborative people, and help us make financial protection accessible to all. The Executive Director, Cloud Data Platforms & Engineering is a senior technology leader responsible for defining and executing the enterprise strategy for modern, cloud-based data platforms. This role leads the design, delivery, and reliable operation of scalable, secure, and governed data platforms that power analytics, data science, and AI/ML initiatives across the organization. The leader will oversee a diverse portfolio of data platform capabilities - including cloud data warehouses and Lakehouses (e.g., Snowflake, Databricks), data integration and transformation (e.g., dbt, Informatica Data Management Cloud, Alteryx, Qlik), pipeline orchestration (e.g., Astronomer/Airflow), and data observability (e.g., Monte Carlo) - while driving platform standardization, automation, and measurable business value. This role balances platform modernization with operational stability and disciplined delivery, partnering across technology, business, and governance functions to ensure the data platform ecosystem accelerates enterprise outcomes. Principle Duties Build, lead, and develop an established, high-performing, globally distributed platform engineering team, fostering a culture of technical excellence, accountability, and continuous improvement. Define and execute the enterprise cloud data platform strategy, aligning platform investments with business priorities, data/AI objectives, and long-term technology roadmaps. Lead the engineering and operations of the full data platform ecosystem - including cloud data warehouses/Lakehouses, data integration, transformation, orchestration, observability, and data quality services. Establish and enforce technology standards, reference architectures, and engineering guardrails that ensure platform consistency, scalability, security, and interoperability across the data ecosystem. Drive platform adoption and enablement across analytics, data science, and business teams by delivering self-service capabilities, reusable data products, and well-documented platform services. Partner with business, product, and technology leaders to translate data needs into prioritized platform capabilities and investment cases with clear ROI. Embed robust data governance, security, and regulatory compliance controls into platform design and operations, ensuring least-privileged access, data classification, lineage, and auditability. Own platform reliability, performance, and cost optimization (FinOps) - establishing SLOs/SLAs, monitoring frameworks, incident response protocols, and unit-cost accountability for cloud data services. Manage strategic vendor relationships, technology evaluations, and licensing negotiations to optimize the platform ecosystem and maintain a forward-looking technology roadmap. Define and track measurable outcomes (KPIs/OKRs) for platform value realization, adoption, delivery predictability, and operational excellence - reporting progress to executive leadership. Operational Discipline: Drives reliability, cost efficiency, and continuous improvement through metric-driven operations. Talent Development: Attracts, develops, and retains top engineering talent with clear career paths and a strong team culture. Education Bachelor's Degree in Arts/Sciences (BA/BS) in computer science, Engineering, Information Systems, or related discipline - required Master's degree in Arts/Sciences (MA/MS) - preferred Work Experience 12+ Years of progressive experience in data engineering, data platform engineering, or enterprise data infrastructure, with 5+ years in senior or executive leadership roles -required Proven experience leading enterprise-scale cloud data platform initiatives, including modern data warehouses, Lakehouses, and cloud-native data ecosystems (e.g., Snowflake, Databricks, or equivalent) - required Experience implementing data governance, security, and regulatory compliance frameworks in cloud data environments, including access control, data classification, and lineage - required Experience modernizing legacy data environments and leading large-scale platform migrations with minimal business disruption - preferred Insurance, reinsurance, or regulated industry experience - preferred Skills and Abilities Deep understanding of modern data engineering tooling across the full platform lifecycle - including data integration, transformation (e.g., dbt, Informatica), pipeline orchestration (e.g., Airflow/Astronomer), and data observability (e.g., Monte Carlo). - required Strong knowledge of c

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