About this opportunity
NaSPA, Inc. lists this AVP, Data Engineering opportunity in hartford, Connecticut. Review the employer’s description below for duties, qualifications and application requirements.
Job description
The Travelers Indemnity Company has an opening for an AVP, Data Engineering in Hartford, CT. This position is hybrid; may work from home up to 2 days per week, as permitted.
Mentor and lead teams designing and building data solutions that capture, explore, transform and use data to support AI, Machine Learning and business intelligence. Implement and develop analytic data products, data movement and data persistence capability from pilot/proof of concept to production, on-going support, and maintenance. Recommend data strategies to support various consumption patterns, including enterprise architectures, platforms and application infrastructure. Oversee the operationalizing and automating of all capabilities to ensure secure, supported and scalable solutions. Present recommendations to senior management and executives and influences decisions at the executive level. Guide and coach senior team members and managers to accelerate career development. Establish functional budgets, policies and practices with impact on functional area. Establish functional strategic objectives.
Must possess at least a bachelor's degree or its equivalent in Computer Science or a related STEM field and at least 8 years of progressive experience as a Data Engineer or in a related role. Must also possess the following: at least 5 years of experience with enterprise BI and analytics platforms such as Power BI, MicroStrategy, or Qlik Sense; at least 3 years of experience in distributed data systems, data modeling, ETL/ELT pipelines, and large-scale data processing; at least 3 years of experience in data engineering, data architecture, or enterprise analytics platforms; at least 3 years of industry-level expertise in P&C insurance, including working with underwriting, claims, policy, and risk data domains; at least 3 years of experience managing enterprise-scale initiatives, cross-functional teams, and strategic data programs; at least 3 years of experience with cloud and modern data platforms (e.g., Databricks, AWS, Azure, or GCP); and at least 2 years of experience enabling AI/ML and Generative AI (GenAI) capabilities on enterprise data platforms.
Approximately 40 hours per week; the salary for this position is at least $203.362 to $279,600 per year.
#J-18808-Ljbffr
Worksite address
hartford, CT, 06112, US
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.