Executive Director, Cloud Data Platforms & Engineering

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 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

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What you can expect from RGA:

• Gain valuable knowledge from and experience with diverse, caring colleagues around the world.

• Enjoy a respectful, welcoming environment that fosters individuality and encourages pioneering thought.

• Join the bright and creative minds of RGA, and experience vast, endless career potential.

We’re excited to get to know you and connect your unique skills with our global opportunities. To create a modern and seamless experience, we use artificial intelligence (AI) in parts of our preliminary screening process. This technology helps us personalize job recommendations, automate interview scheduling, evaluate candidates based solely on experience—without considering name, gender, or other personal details—and provide real-time answers through our chatbot. AI is used only during early screening and never makes hiring decisions. Your RGA recruiter will work closely with you every step of the way to ensure the process feels personal, thoughtful, and focused on you.

Compensation Range:

Base pay varies depending on job-related knowledge, skills, experience and market location. In addition, RGA provides an annual bonus plan that includes all roles and 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.

RGA is an equal opportunity employer. Qualified applicants will be considered without regard to race, color, age, gender identity or expression, sex, disability, veteran status, religion, national origin, or any other characteristic protected by applicable equal employment opportunity laws.