Join us on our digital-first journey and join the magic that is happening right now at Chubb. Our teams are innovating, iterating, and solving customer problems at a rapid pace. We are building upon our strength of delivering superior coverage and customer experience by leading the modernization of what insurance does and how we deliver it in a digital way. This means technology is infused into the business and technology experts sit at the table with our insurance experts. This requires taking an engineers of everything mentality to deliver the world-class customer experience that sets Chubb apart from our competition. By being a part of the digital-first journey at Chubb, you will be a transformer at the forefront of driving change in a multidisciplinary squad. Here is how some of our current transformers are describing how they feel about their experience in our squads: invigorated, heard, motivated, supported, and valued.

Want to know more about how you can be a part of the magic? Here’s what we’re looking for.

We are in search of a highly skilled Lead Data Solution Engineer to join our Transformation Program team, dedicated to overhauling the core policy administration system for our Personal Lines Insurance division. In this pivotal role, you will drive the design and implementation of innovative data architectures that support business objectives and enhance data utilization across the enterprise. Your expertise will be essential in ensuring that our data foundation is robust, scalable, and aligned with industry best practices.

In this role, you will:

Lead the design and development of comprehensive data architecture strategies to support the modernization of the core policy administration system Establish architectural standards and guidelines for the creation, usage, and maintenance of data across the Personal Lines Insurance division Design data integration processes that enable seamless data flow between systems, applications, and stakeholders Develop and promote a strong data management framework, emphasizing data quality, governance, and compliance with regulatory requirements Collaborate with Data Modelers to create data models (conceptual, logical, and physical) to represent the core policy administration system’s data structures and relationships Architect meta-data management processes to ensure data lineage, data definitions, and ownership are well-documented and understood Collaborate closely with business leaders, IT teams, and external partners to understand data requirements and ensure alignment with strategic goals Act as a primary point of contact for data architecture discussions and inquiries from various stakeholders Lead the implementation of data architectures on cloud platforms (AWS, Azure, Google Cloud) to improve efficiency and scalability Bachelor’s degree in Computer Science, Information Systems, Data Engineering, or a related field; Master’s degree preferredMinimum of 15 years’ experience in data architecture or data engineering roles, with a significant focus in P&C insurance domains; experience in Personal Lines insurance is preferredProven track record of successful implementation of data architecture within large-scale transformation programs or projectsComprehensive knowledge of data modeling techniques and methodologies, including data normalization and denormalization practicesHands on expertise across a wide variety of database (Azure SQL, MongoDB, Cosmos, DB2, IMS), data translation (Informatica IICS), change data capture and data streaming (Apache Kafka, Apache Flink) technologiesFamiliarity with data warehousing concepts, ETL processes, and data integration tools (e.g., Informatica, Talend, Apache Nifi)Experience with cloud-based data architectures and platforms (e.g., AWS Redshift, Google BigQuery, Azure SQL Database)Experience in strategies specific to modernizing mainframe databases (IMS, DB2, TMF etc.)Expertise in ensuring data security patterns (e.g. tokenization, encryption, obfuscation)Knowledge of insurance policy operations, regulations, and compliance frameworks specific to Personal LinesFamiliarity with Agile methodologies and experience working in Agile project environmentsUnderstanding of advanced analytics, AI, and machine learning concepts as they pertain to data architecture

 

The pay range for the role is $151,900 to $258,100. 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.