Everest Re Group, Ltd. (“Everest”) is seeking a Director of Data Engineering to drive the execution of our Global Data Strategy. In this highly visible position, you will apply strong technical acumen and leadership in partnership with business counterparts to effectively define, plan and deliver technical solutions that support business outcomes in service to Everest's strategy.
Requirements
- Proficient use of tools, techniques, and manipulation including Cloud platforms, programming languages, and an understanding of data engineering practices
Responsibilities
- Partner and work collaboratively with internal customers to understand strategic analytics and business intelligence needs and the associated enabling technology requirements.
- Lead the technology activities to enable the delivery of meaningful, actionable, data-driven capability in alignment with business strategies
- Develop and lead the execution of the data and analytics technology strategies and roadmaps to optimize rapid delivery of information management capabilities, while aligning to established technology and architecture standards
- Define and deliver the data & analytics architecture, tooling and capabilities needed to enable a modern cloud-based data environment and the best practices, governance, and controls to support the broad adoption and use across the enterprise
- Drive the delivery of an exceptional customer/partner experience through ready access to data and intuitive self-service capabilities that ensures the security, integrity and quality of data while enabling the agility and performance of a scaled ecosystem.
- Deliver enabling capability to support the rapid ingestion of new data and the timely deployment of advanced analytic models into production
- Support the development of engineering capabilities that promotes sharing, inner sourcing and reuse of code, capabilities and methods in a cloud-first environment that leverages highly automated DevOps tools and capabilities
Other
- Bachelor’s degree in computer science, engineering, or business
- 10+ years’ experience in insurance or financial services
- 8+ years in the data engineering space with deep experience delivering enhanced analytic and data access capabilities
- 5+ years of people leadership/ management experience
- Experience working in a large multinational company is preferred
