Assistant Vice President – Data Engineering
| Company | Everest |
|---|---|
| Location | Middlesex, NJ, USA |
| Salary | $Not Provided – $Not Provided |
| Type | Full-Time |
| Degrees | Bachelor’s |
| Experience Level | Senior, Expert or higher |
Requirements
- Bachelor’s degree in computer science, engineering, or business
- 10+ years’ experience in insurance or financial services
- Experience in insurance/reinsurance required
- 8+ years in the data engineering space with deep experience delivering enhanced analytic and data access capabilities
- 5+ years of people leadership/management experience
- 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
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.
Preferred Qualifications
- Experience working in a large multinational company is preferred