Business Systems Integration Lead

JOB DESCRIPTION

Chubb is on a digital-first journey, modernizing how insurance is designed and delivered by deeply integrating technology into the business and having technology experts sit at the table with insurance experts.

As a Business Integration Solutions Lead, you will sit within the business and act as a key connector between business stakeholders, data science teams, and IT.

This is an individual contributor role focused on designing the integration solutions that enable models and data products to be deployed reliably and safely into production.

You will work closely with IT and data engineering teams while maintaining a strong focus on business outcomes, front-line user experience, and operational efficiency.

You will leverage a strong understanding of data flows, front-end systems, and loosely coupled, modular integration patterns to ensure models and services can be seamlessly embedded into Chubb's digital and operational ecosystem.

Key responsibilities

Integration solution design & model deployment


* Design end-to-end integration solutions and patterns that allow data and analytical models to be deployed into production, connecting front-end applications, decision services, and core systems in a secure, scalable, and observable way.


* Define integration flows, service interfaces, events, and data contracts in partnership with IT integration and data engineering teams, with an emphasis on loosely coupled, modular, and reusable solutions.


* Translate business and model deployment requirements into production-ready integration designs, including data sourcing, invocation patterns (batch, API, event-driven), and monitoring needs.


* Ensure integrations support real-time and near-real-time data needs where required, while balancing performance, resilience, and cost.

Cross-functional collaboration and stakeholder management


* Act as the primary integration design contact for business product owners, underwriting, operations, and other domain stakeholders when introducing new models or data products into business processes.


* Partner closely with IT, data engineering, and platform teams to align integration designs with enterprise integration and data architecture standards, while representing business priorities and constraints.


* Collaborate with data science and analytics teams to understand model behavior, technical and data requirements, and performance characteristics, ensuring these are appropriately reflected in integration designs.


* Build strong relationships with senior business leaders and technology partners, managing expectations and ensuring integration roadmaps are aligned with strategic initiatives and release plans.

Standards, governance, and quality


* Contribute to integration design standards, patterns, and reference architectures that can be reused across business lines, promoting consistency and reducing fragmentation.


* Define and socialize quality criteria ...