[Remote] Executive Director, Cloud Data Platforms & Engineering
Note: The job is a remote job and is open to candidates in USA. Reinsurance Group of America, Incorporated is a Fortune 200 company focused on life- and health-related solutions. They are seeking an Executive Director, Cloud Data Platforms & Engineering to define and execute the enterprise strategy for modern, cloud-based data platforms, overseeing the design and delivery of scalable data solutions that power analytics and AI/ML initiatives.
Responsibilities
- 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
Skills
- Bachelor's Degree in Arts/Sciences (BA/BS) in computer science, Engineering, Information Systems, or related discipline
- 12+ Years of progressive experience in data engineering, data platform engineering, or enterprise data infrastructure, with 5+ years in senior or executive leadership roles
- 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)
- Experience implementing data governance, security, and regulatory compliance frameworks in cloud data environments, including access control, data classification, and lineage
- 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)
- Strong knowledge of cloud architectures (AWS, Azure, or GCP) and experience designing secure, scalable, and cost-efficient data platform infrastructure
- Demonstrated ability to build, scale, and lead platform engineering teams supporting multiple business domains, global operations, or complex organizational structures
- 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
- Strong business acumen with experience building investment cases, managing platform budgets, and aligning technology investments to measurable business outcomes (FinOps)
- Excellent communication and stakeholder management skills, with the ability to translate complex technical concepts for executive and non-technical audiences
- Master's degree in Arts/Sciences (MA/MS)
- Experience modernizing legacy data environments and leading large-scale platform migrations with minimal business disruption
- Insurance, reinsurance, or regulated industry experience
- Familiarity with data quality engineering, including automated testing, anomaly detection, and data contract frameworks at the dataset or metric level
Benefits
- In addition, RGA provides an annual bonus plan that includes all roles
- 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
Company Overview
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