AVP, Data Engineering

Everest; New Jersey; On-site; USD 173,000 - 220,000; Full time

Job summary

Everest is seeking an AVP, Data Engineering in Warren, NJ. As a senior technology leader you will steer multiple engineering teams, shape analytics strategy, and partner with business stakeholders to deliver data-driven solutions that support Everest’s risk management agenda.

You will define modern data architectures on a cloud-first platform, drive governance and security, champion DevOps practices, and ensure scalable, reliable data ecosystems.

Qualifications

• 8+ years in data engineering with analytics and data access experience.
• 5+ years in people leadership managing technical teams.
• 10+ years in insurance or financial services industry.
• Experience in multinational organizations preferred.
• Strong Azure stack experience (ADF, Databricks).

Responsibilities

• Lead multiple engineering teams and drive data and analytics strategy.
• Define data/analytics architecture and cloud-first roadmaps.
• Foster cloud adoption, security, governance, and code sharing.
• Ensure on-time, on-budget delivery with high quality.

Skills

Data engineering leadership

Strategic analytics

Communication & stakeholder management

People leadership

Cloud-first architecture

Education

Bachelor’s degree in Computer Science, Engineering, Business, or related field

Tools

Azure Data Factory

Databricks

Cloud-based data platforms

Python

SQL

Job description

About Everest

Everest is a global leader in risk management, rooted in a rich, 50+ year heritage of enabling businesses to survive and thrive, and economies to function and flourish. We are underwriters of risk, growth, progress and opportunity. We are a global team focused on disciplined capital allocation and long‑term value creation for all stakeholders, who care deeply about our impact on communities and the wider world.

Role Overview

Title: AVP, Data Engineering

Company: Everest Global Services, Inc.

Job Category: Technology

Location: Warren, NJ (Full Time)

About the Role

As a highly visible leadership role, you will lead multiple engineering teams while remaining actively engaged in technology strategy, architecture, and execution. Working closely with business stakeholders, you will define, plan, and deliver technology solutions that enable business outcomes and support Everest’s long‑term strategy.

Key Responsibilities

Strategic Leadership & Business Partnership

• Partner closely with business leaders and internal stakeholders to understand strategic analytics and business intelligence needs, and translate them into technology solutions.
• Lead technology initiatives that enable meaningful, actionable, data‑driven capabilities aligned with business objectives and enterprise strategy.
• Develop and execute data and analytics technology strategies and roadmaps that support rapid delivery of information management capabilities while aligning with established technology and architecture standards.
• Establish clear strategic direction and execution plans that support Everest’s global data ambitions.

Data & Analytics Architecture

• Define and deliver the data and analytics architecture, tooling, and capabilities required to support a modern cloud‑based data ecosystem.
• Establish best practices, governance frameworks, and controls to enable broad enterprise adoption while ensuring scalability, security, and reliability.
• Deliver capabilities that support the rapid ingestion of new data sources and the efficient deployment of advanced analytics and AI models into production.
• Champion modern engineering practices and cloud‑first architectures that enhance agility, performance, and innovation.

Engineering Excellence & Transformation

• Drive the organization’s data and analytics transformation initiatives, accelerating cloud adoption while promoting security, governance, data quality, and integrity.
• Support the development of engineering capabilities that encourage code sharing, inner sourcing, and reusability across teams.
• Foster a cloud‑first engineering culture leveraging automation, DevOps tools, and modern delivery practices.
• Ensure solutions are scalable, maintainable, and aligned with enterprise standards.

Delivery & Operational Leadership

• Drive the delivery of an exceptional customer and partner experience through intuitive, self‑service data capabilities and trusted access to enterprise data.
• Manage engagement and coordination across assigned delivery teams to ensure projects are delivered on time, within scope, within budget, and to the highest quality standards.
• Balance strategic priorities with operational excellence to ensure consistent delivery and measurable business value.

Knowledge, Skills & Competencies

• Demonstrated success building, leading, and developing high‑performing engineering teams.
• Inspirational leader with a proven track record of attracting, retaining, and developing top talent.
• Deep experience leading data and analytics organizations within complex multinational environments.
• Proven ability to deliver large‑scale data and analytics initiatives on time, within budget, and with high quality.
• Strong leadership presence with the ability to influence and collaborate effectively across all levels of the organization.
• Excellent communication, stakeholder management, and relationship‑building skills.
• Ability to define a clear strategy and roadmap, align stakeholders around a common vision, and translate strategy into execution.
• Comfortable operating in a lean, hands‑on environment that requires both strategic leadership and detailed execution.
• Strong customer‑centric mindset with a focus on delivering impactful business outcomes.

Qualifications

• Bachelor’s degree in Computer Science, Engineering, Business, or a related field.
• 8+ years of experience in data engineering, with deep expertise in delivering advanced analytics and data access capabilities.
• 5+ years of people leadership and management experience leading technical teams.
• 10+ years of experience within the insurance or financial services industry.
• Experience working within a large multinational organization preferred.
• Strong proficiency with the Microsoft Azure technology stack, including:
• Azure Data Factory (ADF)
• Databricks
• Cloud‑based data platforms and technologies
• Strong programming and data engineering experience using:
• Python
• SQL
• Deep understanding of modern data engineering practices, cloud‑based architectures, and analytics platforms.

Compensation and Benefits

The base salary range for this position is $173,000 – $220,000 annually. The offered rate of compensation will be based on individual education, experience, qualifications and work location. All offers include access to a variety of benefits to employees, including health insurance coverage, an employee wellness program, life and disability insurance, 401(k) match, retirement savings plan, paid holidays and paid time off (PTO).

Equal Opportunity Statement

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 a 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 [e-mail].