Data Engineering Leader

2 weeks ago

Mansfield, Missouri, United States Everest Re Group Full time
About Everest Re Group

We are a leading global reinsurance and insurance provider, operating for nearly 50 years through subsidiaries in North America, Latin America, the UK & Ireland, Continental Europe and Asia Pacific regions. Our strengths include extensive product and distribution capabilities, a strong balance sheet, and an innovative culture. We offer dynamic training & professional development to our employees, as well as generous tuition/continuing education reimbursement programs, mentoring opportunities, flexible work arrangements, and Colleague Resource Groups.

About the Role

We are seeking an Assistant Vice President of Data Engineering to drive the execution of our Global Data Strategy for our Reinsurance division. 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 our strategy. This is a player/coach role that will lead a group of teams and be a strong engineering leader across the organization.

Key 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.
  • Drive and accelerate data and analytics transformation and cloud adoption while being a champion of security, standards, governance, and best practices with a focus on data quality and integrity.
  • Manage the engagement / coordination across assigned delivery teams to ensure high quality project delivery within scope, timeframe, and budgets.
Requirements
  • Strong team leadership with demonstrated experience building and managing high-performing teams that rise to new challenges.
  • Inspiring leader with a track-record of attracting and retaining great talent, raising the bar, and communicating with clarity and alignment.
  • Deep experience leading data and analytics organizations within a complex multi-national organization.
  • Proven history of successfully delivering data and analytics projects on time, on budget with high quality.
  • Influential leader who inspires teams and works well within a collaborative environment.
  • Strong communication and relationship management skills.
  • Ability to establish a clear strategy and roadmap which is well aligned with business stakeholders' expectations and translate it into delivery excellence.
  • Comfortable working in a flat lean organization which requires rolling up the sleeves and getting into the details.
Qualifications
  • 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.
  • Proficient use of the Azure technology stack (ADF, Data Bricks), techniques, and manipulation including Cloud platforms, object-oriented programming (Python, SQL), and an understanding of data engineering practices.

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