Chubb
Head of Data Engineering, NA (DT)
Chubb, Whitehouse Station, New Jersey, us, 08889
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.
Want to know more about how you can be a part of the magic? Here’s what we’re looking for.
We are seeking a leader of our Chubb North America Data Engineering team. With a dual reporting relationship into our Head of Data Delivery for North America and our Global Head of Engineering here at Chubb, 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 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 vision of the insurance data fabric by defining measurable/concrete objectives and key results for the data engineering chapter to derive transformation of the data ecosystems.
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.
Promote data governance and master/reference data management as a strategic discipline.
Implement strategies to monitor the effectiveness of data management.
Drive mediatization of the data capabilities that anticipate changes in the strategic business imperatives.
Mentor/Train Engineers within the Chubb 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.
Minimum Requirements:
12+ years of related work experience and six or more years of leadership experience.
Proven experience in large multinational financial services industry.
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 modern 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 modeling, knowledge/graph modeling techniques.
Understanding of metamodels, taxonomies, and ontologies.
Ability to assess rapidly changing technologies and apply them to business needs.
In Jersey City, NJ the pay range for the role is $128,500 to $215,000. 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 at
https://careers.chubb.com/global/en/us-benefits . This range is specific to Jersey City, NJ and may not be applicable to other locations.
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Want to know more about how you can be a part of the magic? Here’s what we’re looking for.
We are seeking a leader of our Chubb North America Data Engineering team. With a dual reporting relationship into our Head of Data Delivery for North America and our Global Head of Engineering here at Chubb, 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 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 vision of the insurance data fabric by defining measurable/concrete objectives and key results for the data engineering chapter to derive transformation of the data ecosystems.
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.
Promote data governance and master/reference data management as a strategic discipline.
Implement strategies to monitor the effectiveness of data management.
Drive mediatization of the data capabilities that anticipate changes in the strategic business imperatives.
Mentor/Train Engineers within the Chubb 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.
Minimum Requirements:
12+ years of related work experience and six or more years of leadership experience.
Proven experience in large multinational financial services industry.
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 modern 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 modeling, knowledge/graph modeling techniques.
Understanding of metamodels, taxonomies, and ontologies.
Ability to assess rapidly changing technologies and apply them to business needs.
In Jersey City, NJ the pay range for the role is $128,500 to $215,000. 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 at
https://careers.chubb.com/global/en/us-benefits . This range is specific to Jersey City, NJ and may not be applicable to other locations.
#J-18808-Ljbffr