Head of Data Platform & AI Engineering (Hybrid/Remote)

The Hartford

Charlotte (NC)

Hybrid

USD 202,000 - 303,000

Full time

5 days ago
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Job summary

The Hartford seeks an AVP Data Platform Engineering to define, build, and operate enterprise-grade data platforms and AI-enabled analytics across HIG. You will lead teams responsible for Snowflake, BigQuery, Dataproc, Dataflow, and Informatica IDMC, delivering self-service analytics and trusted data products.

This role drives platform modernization, developer productivity, and secure, scalable data solutions with strong governance and enterprise impact.

Qualifications

  • Leads enterprise data platform modernization and analytics enablement.
  • Inspires high-performing engineering teams and promotes best practices.
  • Partners with stakeholders to define roadmaps and measurable outcomes.

Responsibilities

  • Define multi-year strategy for enterprise data platforms and BI enablement.
  • Lead teams managing Snowflake, Spark, BigQuery, Dataproc, Dataflow, IDMC.
  • Improve developer productivity and platform reliability.
  • Collaborate with architecture, AI, cybersecurity, and governance teams.
  • Advise senior leadership on data platform modernization and third-party data strategy.
  • Oversee data ingestion capabilities and vendor data relationships.

Skills

Data platform leadership
Cloud data platforms
AI integration
BI enablement
Team leadership
Executive communication

Education

Bachelor's degree in Computer Science, Data Science, Information Systems, Engineering, Business Administration, or related

Tools

Snowflake
Google BigQuery
Dataproc
Dataflow
Informatica IDMC
Tableau
ThoughtSpot

Job description

The Hartford seeks an AVP Data Platform Engineering to define, build, and operate enterprise-grade data platforms and AI-enabled analytics across HIG. You will lead teams responsible for Snowflake, BigQuery, Dataproc, Dataflow, and Informatica IDMC, delivering self-service analytics and trusted data products.

This role drives platform modernization, developer productivity, and secure, scalable data solutions with strong governance and enterprise impact.

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