Head of Data Products, PRS

We are seeking a Head of Data Products for our Chubb North America Personal Lines Data team to drive Tech & Data modernization. With a dual reporting relationship into our Head of Data for North America and CIO of Personal Risk Services (PRS), you will have the unique opportunity to make your mark as a senior Data Leader 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, AI, 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 and advance the data strategy, data architecture, roadmap, and vision for the Personal Risk Service (PRS) business by defining measurable/concrete objectives and key results for the data teams to derive transformation.
• Serve as the key point of contact for the PRS business leadership and stakeholders
• Derive innovation and build highly scalable real-time data pipelines and data products 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 embraces innovation, collaboration, and AI data engineering practices.
• Responsible to establish data engineering standards, resiliency, certify assets and implement necessary integration updates in downstream assets
• Advance data governance and master/reference data management as a strategic discipline.
• Implement strategies to monitor the effectiveness of data engineering.
• Mentor/Train Engineers within the PRS Data organization, engineering best practices, design standards, modern AI data 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 in North America.
• Evaluate emerging data technologies and determine their business benefits and impact on the future-state data platform.