AVP, Data Engineering

NaSPA, Inc.; Hartford (CT); Hybrid; USD 203,000 - 280,000; Full time

Job summary

The Travelers Indemnity Company in Hartford, CT is seeking an AVP, Data Engineering to lead data teams in building scalable data solutions that support AI, ML and BI initiatives.

You will mentor and guide senior engineers, drive data strategy across cloud platforms, manage cross-functional programs and ensure production-grade data pipelines from concept to operations. Hybrid work up to 2 days per week.

Qualifications

• Bachelor's degree in Computer Science or related STEM field and 8+ years of progressive data engineering experience.
• 5+ years in enterprise BI/analytics platforms (Power BI, MicroStrategy, or Qlik Sense).
• 3+ years in distributed data systems, data modeling, ETL/ELT, and large-scale data processing.

Responsibilities

• Mentor and lead teams designing and building data solutions for AI, ML and BI.
• Develop analytic data products, data movement and persistence from pilot to production.
• Advise on data strategies to support enterprise architectures and platforms.
• Oversee automation of capabilities to ensure secure, scalable data solutions.
• Present recommendations to senior management and influence executive decisions.
• Guide senior engineers and managers to accelerate career development.
• Establish budgets, policies and strategic objectives for the function.

Skills

Data engineering

AI/GenAI enablement

Team leadership

Cloud platforms

Business intelligence

Education

Bachelor's degree in Computer Science or related STEM field

Tools

Power BI

MicroStrategy

Qlik Sense

Databricks

AWS

Azure

GCP

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.