Executive Director, Cloud Data Platforms – Engineering

🔥 0 minutes ago

🏰 Missouri – Remote

🏰 Missouri – Remote

💵 $150.8k - $224.6k / year

⏰ Full Time

🔴 Lead

🚰 Data Engineer

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Reinsurance Group of America, Incorporated

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 1973

⚕️ Healthcare Insurance

Insurance • Healthcare Insurance • Financial Services

Reinsurance Group of America, Incorporated (RGA) is a leading global reinsurance company that focuses exclusively on life and health reinsurance solutions. With a strong commitment to providing innovative products and services, RGA helps its clients manage risk and enhance their insurance portfolios through its expertise in underwriting, claims management, and financial solutions. The company operates in multiple global markets, leveraging its extensive data and analytics capabilities to offer tailored solutions that meet the unique needs of the life and health insurance sectors.

📋 Description

• 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. • Drives reliability, cost efficiency, and continuous improvement through metric-driven operations. • Attracts, develops, and retains top engineering talent with clear career paths and a strong team culture.

🎯 Requirements

• 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 • 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 • 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 cloud architectures (AWS, Azure, or GCP) and experience designing secure, scalable, and cost-efficient data platform infrastructure. - required • Demonstrated ability to build, scale, and lead platform engineering teams supporting multiple business domains, global operations, or complex organizational structures. - required • Track record of driving platform standardization, Infrastructure as Code (IaC), CI/CD for data pipelines, and operational automation to reduce manual effort and improve reliability. - required • Strong business acumen with experience building investment cases, managing platform budgets, and aligning technology investments to measurable business outcomes (FinOps). - required • Excellent communication and stakeholder management skills, with the ability to translate complex technical concepts for executive and non-technical audiences. - required • Familiarity with data quality engineering, including automated testing, anomaly detection, and data contract frameworks at the dataset or metric level. - preferred.

🏖️ Benefits

• RGA provides an annual bonus plan • some positions are eligible for participation in our long-term equity incentive plan. • RGA also maintains a full range of health, retirement, and other employee benefits.