Business Systems Integration Lead

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 for integrations (e.g., reliability, latency, throughput, data quality), and ensure these are baked into designs, test plans, and acceptance criteria.
• Work with data governance, enterprise and model risk, and security stakeholders to ensure integrations adhere to information security, privacy, and regulatory requirements.
• Support the development of documentation—including end‑to‑end flow diagrams, data lineage views, and interface/contract specifications—that business and technology teams can easily consume.

Production readiness, monitoring, and continuous improvement

• Partner with IT teams to ensure integrations are designed with appropriate exception and log management, observability (dashboards, alerts), and operational run‑books.
• Participate in solution testing (functional, integration, UAT) to validate that integrations meet business process needs and non‑functional requirements.
• Support production rollout helping to triage and resolve integration issues raised by business, underwriting, compliance, or audit stakeholders.
• Continuously review production metrics and feedback to identify opportunities to improve performance, resilience, and usability of integrations, and to reduce operational friction.

Subject‑matter expertise and influence

• Serve as a subject matter expert on business data flows, integration patterns, and attribute lineage from upstream sources through to downstream consuming systems and reports.
• Advise business product owners and domain leaders on integration impacts and options when scoping new models, features, or data products.
• Guide and influence IT and data science teams on sound integration design principles and best practices (e.g., API vs event‑driven patterns, synchronous vs asynchronous, reuse vs bespoke).
• Contribute to communities of practice or working groups focused on integration, data, and digital enablement, sharing lessons learned and emerging best practices.

Education and experience

• Bachelor’s degree: Computer Science or Engineering preferred, or equivalent practical experience in complex systems integrations and data‑centric solution design. 
• Significant experience in designing or overseeing integration solutions across multiple systems (e.g., policy administration, underwriting, claims, or other core platforms), ideally in a complex, regulated, or financial‑services environment. 
• Experience working closely with IT integration teams and/or platform teams that use modern integration approaches (e.g., APIs, event buses, service bus, microservices, BPM/workflow tools).
• Familiarity with modern data architectures and cloud‑based data platforms, including real‑time or near‑real‑time data pipelines and analytics solutions.
• Exposure to, or familiarity with, integration and observability technologies such as API management platforms, message queues/streams (e.g., Kafka), integration frameworks (e.g., Apache Camel), and containerized / cloud environments (e.g., Azure, Kubernetes, Docker). 
• Experience collaborating with data science or analytics teams and integrating external or third‑party data or services into enterprise processes. 
• Experience working in agile, multidisciplinary squads or programs with strong business–technology collaboration. 

Skills and competencies

• Collaboration and influence: Strong ability to build consensus and foster collaboration across business, IT, digital, and operations teams, influencing without direct authority. 
• Strategic and systems thinking: Able to connect integration decisions to broader business strategy, customer experience, and operational impacts, and to think in terms of end‑to‑end systems and data flows. 
• Communication: Excellent verbal and written communication skills; able to explain complex integration concepts in clear, business‑friendly language and create simple, visual representations of flows. 
• Problem‑solving: Creative, structured, and data‑driven approach to diagnosing and resolving integration challenges, particularly in production environments. 
• Adaptability: Comfortable working in a fast‑paced, evolving environment with changing technologies and priorities, and able to learn new platforms and patterns quickly. 
• Customer and stakeholder focus: Strong understanding of stakeholder needs and a commitment to delivering solutions that are reliable, intuitive, and add clear business value. 
• Continuous improvement mindset: Energetic, self‑starter who looks for opportunities to simplify integrations, improve performance and resilience, and reduce technical and process debt over time. '

The pay range for the role is $105,100 to $178,600. The specific offer will depend on an applicant’s skills and other factors. This role may also be eligible to participate in a discretionary annual incentive program.  Chubb offers a comprehensive benefits package, more details on which can be found on our careers website.  The disclosed pay range estimate may be adjusted for the applicable geographic differential for the location in which the position is filled.