Head of Data/AI Infrastructure

Chubb•Jersey City, NJ

About The Position

Chubb is a leading underwriting company. We assess, assume, and manage risk with insight and discipline. Chubb has embarked on a transformation journey to enhance our underwriting capabilities and develop into a leading Underwriting Engineering and Data Analytics company. Cloud Platform is a key enabler of this digital transformation, and Data and Artificial Intelligence are at the heart of Chubb's next phase of growth. As such, we are seeking a visionary and experienced Head of Data/AI Engineering to lead the design, development, and delivery of enterprise-wide data and AI/ML platforms on cloud. The successful candidate will drive Chubb's data and AI strategy, building scalable data infrastructure, advanced analytics capabilities, and machine learning platforms that transform how Chubb underwrites risk and serves its customers. The Head of Data/AI Engineering will serve as a senior technical leader and strategic partner to business stakeholders, working across the organization to deliver AI-powered solutions that are secure, governed, and production-ready. This is a unique opportunity for the right leader to shape and build Chubb's data and AI engineering capabilities from the ground up on cloud.

Responsibilities

Provide executive leadership for Chubb's Data and AI Infrastructure strategy.
Define and own the roadmap for enterprise data platforms, AI/ML infrastructure, and advanced analytics capabilities on cloud (Azure/GCP).
Lead and grow a high-performing team of Cloud data engineers, and AI architects. Foster a culture of innovation, engineering excellence, and continuous learning.
Partner with business stakeholders, underwriting teams, and product owners to identify AI/ML opportunities and translate them into scalable, production-grade engineering solutions.
Architect and oversee the build of enterprise data platforms including data lakes, data warehouses, real-time streaming pipelines, and feature stores on cloud.
Drive the design and deployment of ML/AI platforms (MLOps) to support model development, training, versioning, monitoring, and production serving at scale.
Define and enforce data governance, data quality, lineage, and security standards in collaboration with enterprise architecture and security teams.
Lead adoption of generative AI and LLM capabilities, evaluating emerging frameworks and tools to identify practical business applications within Chubb's operating environment.
Collaborate with the broader Cloud Platform team and Data Analytics teams to ensure data and AI workloads adhere to Chubb's Cloud Adoption Framework, security standards, and cost management practices.
Implement CI/CD and automation pipelines for data and AI workflows, ensuring reliable and repeatable delivery of data products and models.
Present roadmap progress, platform capabilities, and strategic recommendations to senior stakeholders and executives; represent the Data/AI Engineering function in key forums.
Manage vendor relationships and evaluate third-party AI/data tools and services to accelerate capability delivery and reduce build vs. buy costs.
Drive cost optimization of data and AI infrastructure, implementing right-sized compute, storage, and licensing strategies on cloud.