AVP, Data Engineering Manager

Chubb • Readington Township, NJ

9h

About The Position

We are seeking a Data Engineering Manager to lead the development of scalable data pipelines, curated datasets, and innovative data products that drive our resilience and risk consulting services. In this role, you will be at the heart of building the data foundation that empowers analytics, benchmarking, and the creation of future digital products for our consulting teams and clients. As the ideal candidate, you are a hands-on leader who seamlessly navigates between technical detail and strategic priorities. You thrive in environments where data is fragmented, bringing structure and clarity to complex landscapes. Your commitment to data quality and governance builds trust across the organization, and your leadership inspires teams to deliver high-value outcomes. You are comfortable with ambiguity and motivated by the challenge of building something foundational. Your expertise enables you to unlock complex data environments independently, and your vision helps shape how data is governed and transformed into business value. This role is central to establishing the data backbone for our growing resilience and risk consulting organization. Your contributions will directly enhance our ability to deliver actionable insights, improve service efficiency, and develop future-ready data products. Join us and play a key role in shaping the future of data-driven consulting.

Requirements

• Hands-on leader who seamlessly navigates between technical detail and strategic priorities
• Ability to thrive in environments where data is fragmented, bringing structure and clarity to complex landscapes
• Commitment to data quality and governance
• Leadership that inspires teams to deliver high-value outcomes
• Comfortable with ambiguity and motivated by the challenge of building something foundational
• Expertise to unlock complex data environments independently
• Vision to shape how data is governed and transformed into business value
• Experience with modern cloud data environments such as Databricks, Snowflake, or similar

Responsibilities

• Lead a team of data engineers responsible for ingesting, transforming, governing, and curating data from multiple internal and external sources
• Build and scale ETL/ELT pipelines and curated data layers on platforms such as Databricks, Snowflake, or similar modern cloud data environments
• Establish technical data quality standards and embed controls within pipelines and workflows
• Translate target schemes defined by clients and interpreted by senior analysts into trusted, business-ready tables and reusable data assets
• Own the ongoing maintenance, enhancement, and operational reliability of production data products
• Partner closely with analysts, consulting leaders, and product stakeholders to prioritize and deliver data capabilities that support consulting services

What This Job Offers

• Job Type: Full-time
• Career Level: Manager
• Education Level: No Education Listed
• Number of Employees: 5,001-10,000 employees