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Associate Vice President, Data Solutions Engineering

  • Associate Vice President, Data Solutions Engineering job type Posted on: Nov 08, 2026
  • Associate Vice President, Data Solutions Engineering experience level Confidential
  • Associate Vice President, Data Solutions Engineering employment type Phoenix, Arizona
  • Associate Vice President, Data Solutions Engineering employment type Onsite
  • Associate Vice President, Data Solutions Engineering salary Full-time

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Job Title :

Associate Vice President, Data Solutions Engineering

Job Type :

Full-Time

Job Location :

Phoenix Arizona United States

Remote :

No

Jobcon Logo Job Description :

Associate Vice President, Data Solutions Engineering About the Company Globally recognized reinsurance company IndustryInsurance TypePrivately Held Founded2017 Employees501-1000 Specialties reinsurancelegacy portfoliocomposite reinsurerrunofflong-term solutionscustomer serviceskilled executivesand actuarial About the Role The Company is seeking an Associate Vice President for Data Solutions Engineering. The successful candidate will be tasked with building operational data pipelines and delivering fully documented datasets that support data integrations. This role is pivotal in engaging with business partners to understand their data needs and in developing data engineering solutions to meet those requirements. The AVP will work closely with data platform engineers, data governance, data science, and data analytics/visualization teams to ensure the delivery of well-architected data solutions. Additionally, the role involves leading the deployment of data pipelines and ensuring their reliability, scalability, and governance. Applicants for the AVP position should have a Bachelor's degree in Math, Computer Science, or Engineering, with a strong background in ETL/ELT, APIs, Cloud, and data operations. A minimum of 7 years' experience in a data engineering role, including at least 5 years in programming (Python) and SQL, is required. Domain knowledge in actuarial, investment, and finance within the insurance or reinsurance industry is a plus. The ideal candidate will have a robust understanding of data lakes, data governance, and modern data quality techniques, as well as excellent analytical, problem-solving, and conceptual skills. Strong verbal and written communication skills are also essential for this role. Hiring Manager TitleVP, Data Solutions Engineering Functions Data Management/Analytics

Jobcon Logo Position Details

Posted:

Nov 08, 2026

Reference Number:

12517_73c011f2d541fac96a187054336d3774b01b755b06346695e36acb2f92e71834

Employment:

Full-time

City:

Phoenix

Job Origin:

APPCAST_CPC

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Associate Vice President, Data Solutions Engineering About the Company Globally recognized reinsurance company IndustryInsurance TypePrivately Held Founded2017 Employees501-1000 Specialties reinsurancelegacy portfoliocomposite reinsurerrunofflong-term solutionscustomer serviceskilled executivesand actuarial About the Role The Company is seeking an Associate Vice President for Data Solutions Engineering. The successful candidate will be tasked with building operational data pipelines and delivering fully documented datasets that support data integrations. This role is pivotal in engaging with business partners to understand their data needs and in developing data engineering solutions to meet those requirements. The AVP will work closely with data platform engineers, data governance, data science, and data analytics/visualization teams to ensure the delivery of well-architected data solutions. Additionally, the role involves leading the deployment of data pipelines and ensuring their reliability, scalability, and governance. Applicants for the AVP position should have a Bachelor's degree in Math, Computer Science, or Engineering, with a strong background in ETL/ELT, APIs, Cloud, and data operations. A minimum of 7 years' experience in a data engineering role, including at least 5 years in programming (Python) and SQL, is required. Domain knowledge in actuarial, investment, and finance within the insurance or reinsurance industry is a plus. The ideal candidate will have a robust understanding of data lakes, data governance, and modern data quality techniques, as well as excellent analytical, problem-solving, and conceptual skills. Strong verbal and written communication skills are also essential for this role. Hiring Manager TitleVP, Data Solutions Engineering Functions Data Management/Analytics

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