We are seeking a leader of our Chubb North America Personal Lines Data Engineering team to drive Tech & Data Modernization. With a dual reporting relationship into our Global Head of Data Engineering and CIO Personal Lines, you will have the unique opportunity to make your mark on data engineering here at Chubb. You will be entrusted to apply your leadership and engineering expertise to a subject you love: Data! In this role, we are seeking someone with the keen ability to develop people, form strong working partnerships with business and technology leaders, plan and implement data engineering programs, formulate data and analytics strategies for solving business problems. You’ll leverage your Mainframe and Data modernization, engineering, technical, business and communication expertise to partner with functional leaders to define and prioritize key data needs and build data products & platforms.

If you have exceptionally strong cloud data engineering skills, experience implementing complex real-time data and analytics platforms to produce practical insights, then we'd love to hear from you!

In this role, you will:

Develop the data strategy, Data Architecture, Roadmap, and Vision for the PRS Modernization by defining measurable/concrete objectives and key results for the data teams to derive transformation Derive innovation and build highly scalable real time data pipelines and data platforms to support the business needs Build a data engineering organization that is business focused, proactive, and resilient. Attract, hire, and retain top engineering talent, creating an engineering culture that fosters innovation and collaboration Responsible to establish data engineering standards, certify assets and implement necessary integration updates in down streams including Client MDM and C360 Promote data governance and master/reference data management as a strategic discipline Implement strategies to monitor the effectiveness of data engineering. Drive mediatization of the data capabilities that anticipate changes in the strategic business imperatives. Mentor/Train Engineers within the PRS Data organization, Engineering Best Practices, Design Standards, Modern Engineering Practices, Cloud-First Approach, Well-Architected Cloud Solutions Be an inspiring engineering leader, mentor and coach data engineers and be an active member of the data leadership team Evaluate emerging data technologies and determine their business benefits and impact on the future-state data platform 12+ years of related work experience and six or more years of leadership experience Demonstrated experience in the P&C Insurance industry, specifically focused on Legacy Technology Modernization and Data Modernization Have previously held a data engineering leadership role Candidate should have in-depth experience in designing and implementing enterprise-wide cloud data and analytics platforms Have hands-on architecture and delivery experience in large scale, cloud data management solutions Proven ability to translate data into actionable insights Hands-on experience architecting and implementing large scale multi discipline master/reference data management, cloud data lake and analytics platforms Data technology literate with a detailed understanding of the modem data architectures and data analytics platforms Proven ability to lead teams through collaborative problem-solving using design thinking principles Insurance business domain, data/content and process understanding Knowledge of relational/object modelling, knowledge/graph modelling techniques Understanding of metamodels, taxonomies and ontologies Ability to assess rapidly changing technologies and apply them to business needs