Assistant Vice President Data Engineering
Assistant Vice President Data Engineering
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Job Description
Title:
Assistant Vice President Data EngineeringCompany:
Everest Global Services Inc.Job Category:
TechnologyJob 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 longterm 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 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 Everests strategy. This is a player/coach role that will lead a group of teams and be a strong engineering leader across the organization.
This is a hybrid position based in Warren New Jersey working 3 days onsite 2 remote.
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 datadriven capability in alignment with business strategies
Develop and lead the 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 cloudbased 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 selfservice 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 cloudfirst 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 highperforming teams that rise to new challenges.
Inspiring leader with a trackrecord 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 multinational 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:
Bachelors 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
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 objectorientated 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. Clickhereto learn more about our culture.
Our Valuesare 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. . Efficiency. Humility. Leadership. Collaboration. Diversity Equity and Inclusion.
Our Colleague Behaviorsdefine 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.
#LIKG1
#LIHybrid
Type:
RegularTime Type:
Full timePrimary Location:
Warren NJAdditional 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
Required Experience:
Chief
Employment Type
Full-Time
