Lead Data Engineer - Head of Data Engineering Analytics Enablement Insurance - Jersey City, NJ at Geebo

Lead Data Engineer - Head of Data Engineering Analytics Enablement

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!RESPONSIBILITIESDevelop 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 ecosystemsDerive innovation and build highly scalable real time data pipelines and data platforms to support the business needsBuild a data engineering organization that is business focused, proactive, and resilientAttract, hire and retain top engineering talent, creating an engineering culture that fosters innovation and collaborationPromote data governance and master/reference data management as a strategic disciplineImplement strategies to monitor the effectiveness of data managementDrive mediatization of the data capabilities that anticipate changes in the strategic business imperativesBe an inspiring engineering leader, mentor and coach data engineers and be an active member of the data leadership teamEvaluate emerging data technologies and determine their business benefits and impact on the future-state data platformEDUCATION AND EXPERIENCEProven experience in large multinational financial services industry Have previously held a data engineering leadership roleCandidate should have in-depth experience in designing and implementing enterprise-wide cloud data and analytics platformsHave hands-on architecture and delivery experience in large scale, cloud data management solutions. Strong preference to Azure and DataBricks experienceHands-on experience architecting and implementing large scale multi discipline master/reference data management, cloud data lake and analytics platformsData technology literate with a detailed understanding of the modem data architectures and data analytics platformsPresentation and facilitation and design-thinking skillsInsurance business domain, data/content and process understandingKnowledge of relational/object modelling, knowledge/graph modelling techniquesUnderstanding of metamodels, taxonomies and ontologiesAbility to assess rapidly changing technologies and apply them to business needsKEY BEHAVIORS AND COMPETENCIESAbility to work well with others and be respected as a leaderTrack record of remaining unbiased toward specific technologies or vendorsDeep understanding of agile project delivery models and methodologiesExcellent communication skills both verbal and written that clearly and concisely communicates concepts to varying levels of the organizationEnergetic, self-starter who can independently multi-task across many different complex strategic programs to drive multiple deliverables concurrentlyCreative problem solver with the ability to quickly identify and resolve errors through collaborative solutionsData-driven decision maker; able to complete thorough research and investigation, yet quickly make decisions and present findingsCapable of working collaboratively with leaders and business partnersUnderstanding of analytics applications and processesExperience working across business, technical, IT, Digital and Operations teams to influence decisions and drive outcomesThe 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 geographic differential for the location in which the position is filled.
Chubb is a world leader in insurance. With operations in 54 countries, Chubb provides commercial and personal property and casualty insurance, personal accident and supplemental health insurance, reinsurance, and life insurance to a diverse group of clients. The company is distinguished by its extensive product and service offerings, broad distribution capabilities, exceptional financial strength, underwriting excellence, superior claims handling expertise and local operations globally.
At Chubb, we are committed to equal employment opportunity and compliance with all laws and regulations pertaining to it. Our policy is to provide employment, training, compensation, promotion, and other conditions or opportunities of employment, without regard to race, color, religious creed, sex, gender, gender identity, gender expression, sexual orientation, marital status, national origin, ancestry, mental and physical disability, medical condition, genetic information, military and veteran status, age, and pregnancy or any other characteristic protected by law. Performance and qualifications are the only basis upon which we hire, assign, promote, compensate, develop and retain employees. Chubb prohibits all unlawful discrimination, harassment and retaliation against any individual who reports discrimination or harassment.
Full timePosting Date:
2024-02-26Estimated Salary: $20 to $28 per hour based on qualifications.

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