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Lead Data Engineer - Head of Data Engineering Analytics Enablement

Chubb
Jersey City, United Statesfull_timeVerifiedPosted 26 Feb 2024
💰 $215,000/yr($128,500/yr$215,000/yr)

About the role

Are you a proven data engineering leader who thrives in a fast-paced environment, demonstrates strong attention to detail and can grow a hardworking team of data engineering professionals?

This is a rare opportunity to apply your leadership and engineering expertise to a subject you love: Data! 

We need someone 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 have superb engineering, technical, business and communication skills to be able to work 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!


RESPONSIBILITIES

  • 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
  • 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

EDUCATION AND 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. Strong preference to Azure and DataBricks experience
  • 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
  • Presentation and facilitation and design-thinking skills
  • 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

KEY BEHAVIORS AND COMPETENCIES

  • Ability to work well with others and be respected as a leader
  • Track record of remaining unbiased toward specific technologies or vendors
  • Deep understanding of agile project delivery models and methodologies
  • Excellent communication skills both verbal and written that clearly and concisely communicates concepts to varying levels of the organization
  • Energetic, self-starter who can independently multi-task across many different complex strategic programs to drive multiple deliverables concurrently
  • Creative problem solver with the ability to quickly identify and resolve errors through collaborative solutions
  • Data-driven decision maker; able to complete thorough research and investigation, yet quickly make decisions and present findings
  • Capable of working collaboratively with leaders and business partners
  • Understanding of analytics applications and processes
  • Experience working across business, technical, IT, Digital and Operations teams to influence decisions and drive outcomes

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 on our careers website. The disclosed pay range estimate may be adjusted for the applicable geograp

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Chubb

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