AVP, Data Platform Engineering

The Hartford

Confirmed live today High trust
Remote

Quick summary

Work type
Remote
Location
Hartford, CTCharlotte, NC
Employment
Full-time
Posted
109 days ago
Freshness
Confirmed live today

Market check

Salary context

How this pay compares to similar roles

Similar $190k
$125k $246k
below market most similar roles pay here above market

This listing doesn't post a salary. Most similar roles pay $156,931–$222,625.

Based on 240 similar postings.

Employer

About The Hartford

The Hartford is a leading provider of property and casualty insurance, group benefits, and mutual funds, serving businesses and individuals across the United States. Industry: Insurance & Financial Services

The Hartford currently has 70 open roles on FindRole.

Listed pay typically runs $127,600–$191,400 across 29 roles with salary data.

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At a glance

TL;DR · AVP, Data Platform Engineering

The AVP, Data Platform Engineering provides strategic and technical leadership for enterprise data platforms, semantic and knowledge platforms, and AI-enabled data solutions. This leader manages teams responsible for building, modernizing, and operating scalable, secure, and reliable systems that support analytics, business intelligence, and graph-based knowledge architectures. Key responsibilities include driving platform strategy, engineering excellence, and technology transformation while overseeing the engineering lifecycle of graph databases, ontology services, and metadata platforms. The role requires expertise in Snowflake, Spark, Google BigQuery, Dataproc, Dataflow, Informatica IDMC, Tableau, and ThoughtSpot. Additionally, the position involves implementing advanced capabilities like GraphRAG, vector search, and Snowflake Cortex to support AI-ready data foundations. The work focuses on solving complex problems regarding data discoverability, relationship modeling, and enterprise-wide knowledge management.

What you'll do

  • Define and execute a multi-year strategy for enterprise data platforms, semantic and knowledge platforms, and AI-ready data capabilities.
  • Lead engineering teams in building and operating scalable platforms using Snowflake, Spark, BigQuery, and graph databases.
  • Own the engineering lifecycle for graph databases, semantic layers, ontology services, and knowledge graph technologies.
  • Drive platform modernization through cloud adoption, legacy migration, automation, and infrastructure-as-code practices.
  • Establish engineering standards for data ingestion, orchestration, observability, security, and cost management.
  • Build and mentor high-performing engineering teams through coaching, talent development, and organizational design.
  • Develop AI-ready data foundations including GraphRAG architectures, vector search, and retrieval-augmented generation.
  • Partner with business leaders to deliver scalable analytics, trusted datasets, and self-service business intelligence.

What we're looking for

  • 12+ years of experience in data platform engineering, data architecture, semantic technologies, knowledge platforms, or related disciplines.
  • Proven track record of engineering leadership building and modernizing enterprise-scale data, semantic, and knowledge platforms.
  • Deep understanding of data platform engineering practices including architecture, ingestion, orchestration, observability, reliability, and security.
  • Experience leading teams responsible for graph databases, semantic layers, ontology services, and AI-ready knowledge architectures.
  • Deep understanding of semantic technologies, contextual metadata management, entity modeling, and knowledge representation.
  • Hands-on engineering background with the technical depth to guide architecture decisions and influence technology strategy.
  • Experience leading platform modernization, cloud transformation, and organizational change initiatives.
  • Experience leading enterprise Third-Party Data capabilities and AI-enabled data ecosystems including GraphRAG and vector search.

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