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Avp, International Data Engineering Lead
hace 2 semanas
Title:
AVP, International Data Engineering Lead
Company:
Everest Insurance (Ireland) Spain
Job Category:
Technology
**Job Description**:
About Everest:
It’s an exciting time for Everest Group, Ltd. (“Everest”) As we continue on our journey, we see significant opportunity ahead of us to expand our reach, build diversity, and enhance our capabilities in critical markets.
Everest is a leading global reinsurance and insurance provider, operating for nearly 50 years through subsidiaries in the Europe, Bermuda, Canada, Singapore, US, and other territories. Our strengths include extensive product and distribution capabilities, a strong balance sheet, and an innovative culture. Throughout our history, Everest has maintained its discipline and focuses on creating long-term value through underwriting excellence and strong risk and capital management. But the most critical asset in this organization is our people.
Everest is a growth company with $14 Billion of Gross Written Premium offering Property, Casualty and specialty products among others, through its various operating subsidiaries located in key markets around the world. Everest has been a global leader in reinsurance with a broad footprint, deep client relationships, underwriting excellence, responsive service and customized solutions. Our insurance arm draws upon impressive global resources and financial strength to tailor each policy to meet the individual needs of our customers.
About the Role:
Key responsibilities include:
- 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
Knowledge skills and competencies:
- 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 tools, techniques, and manipulation including Cloud platforms, programming languages, and an understanding of data engineering practices
LI-DP1
LI-Hybrid
Type:
Regular
Time Type:
Full time
Primary Location:
Madrid, Spain
Additional Locations:
