Head of Data Engineering, PRS

We are seeking a Head of Data Engineering 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.

Qualifications

• 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 with stakeholder management experience

• Candidate should have in-depth experience in designing and implementing cloud data and analytics platforms for a large organization

• Have hands-on architecture and delivery experience in large scale, cloud data management solutions.

• Proven ability to translate data into actionable insights and connect technical work to business impact and outcomes

• Exceptional communication and presentation skills with the ability to break down complex technical subjects in an understandable way

• 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.

The pay range for the role is $224,500 to $314,500. 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.