Assistant Vice President, Data Engineering

Title:

Assistant Vice President, Data Engineering

Company:

Everest Global Services, Inc.

Job Category:

Technology

Job Description:

About Everest:

Everest Group, Ltd. (Everest), is 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. Throughout our history, Everest has maintained its discipline and focuses on creating long-term value through underwriting excellence and strong risk and capital management. Our strengths include extensive product and distribution capabilities, a strong balance sheet, and an innovative culture. Our most critical asset is our people. We offer dynamic training & professional development to our employees. We also offer generous tuition/continuing education reimbursement programs, mentoring opportunities, flexible work arrangements, and Colleague Resource Groups.

About the role:

Everest Group, Ltd. (“Everest”) is 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 Everest's 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
  
  
  

Knowledge, Skills & 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 the Azure technology stack (ADF, Data Bricks), techniques, and manipulation including Cloud platforms, object-orientated programming (Python, SQL), and an understanding of data engineering practices
  
  
  

Our Culture

At Everest, our purpose is to provide the world with protection. We help clients and businesses thrive, fuel global economies, and create sustainable value for our colleagues, shareholders and the communities that we serve. We also pride ourselves on having a unique and inclusive culture which is driven by a unified set of values and behaviors. Click here to learn more about our culture.

• Our Values are the guiding principles that inform our decisions, actions and behaviors. They are an expression of our culture and an integral part of how we work: Talent. Thoughtful assumption of risk. Execution. Efficiency. Humility. Leadership. Collaboration. Diversity, Equity and Inclusion.
• Our Colleague Behaviors define how we operate and interact with each other no matter our location, level or function: Respect everyone. Pursue better. Lead by example. Own our outcomes. Win together.
  
  
  

All colleagues are held accountable to upholding and supporting our values and behaviors across the company. This includes day to day interactions with fellow colleagues, and the global communities we serve.

Type:

Regular

Time Type:

Full time

Primary Location:

Warren, NJ

Additional Locations:

Everest is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion or creed, sex (including pregnancy), sexual orientation, gender identity or expression, national origin or ancestry, citizenship, genetics, physical or mental disability, age, marital status, civil union status, family or parental status, veteran status, or any other characteristic protected by law. As part of this commitment, Everest will ensure that persons with disabilities are provided reasonable accommodations. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact Everest Benefits at everestbenefits@everestglobal.com.

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