AVP, Data Platform Engineering

The Hartford

Confirmed live today High trust
Hybrid

Quick summary

Work type
Hybrid
Location
Hartford, CTCharlotte, NC
Salary
$201,500–$302,500 / yr
Employment
Full-time
Posted
5 days ago
Freshness
Confirmed live today

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $194k
This role $252k
$130k most similar roles pay here $321k

This role pays more than 82% of similar roles. Most pay $157,200–$231,150 — the shaded band above. At the midpoint, this role pays about $252k versus about $194k for comparable roles.

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 64 open roles on FindRole.

Listed pay typically runs $127,600–$191,400 across 33 roles with salary data.

Most-posted roles

View all roles at The Hartford

At a glance

TL;DR · AVP, Data Platform Engineering

As the AVP, Data Platform Engineering, you will provide strategic and technical leadership for enterprise data platforms, semantic and knowledge platforms, analytics capabilities, and AI-enabled data solutions. You will lead teams to build, modernize, and operate scalable, secure systems that enable business intelligence, graph-based architectures, and the consumption of internal and external data assets. Your daily work involves driving platform strategy, engineering excellence, and technology transformation while managing infrastructure for tools like Snowflake, Spark, Google BigQuery, Dataproc, Dataflow, Informatica IDMC, Tableau, and ThoughtSpot. You will oversee complex technical domains including graph databases, semantic layers, ontology services, metadata platforms, and AI-ready architectures such as GraphRAG, vector search, and Retrieval-Augmented Generation. The role focuses on solving challenges in data discoverability, entity resolution, and providing the foundational infrastructure necessary for advanced analytics and emerging AI capabilities.

What you'll do

  • Define and execute a multi-year strategy for enterprise data platforms, semantic layers, and AI-ready data capabilities.
  • Lead engineering teams in building and operating scalable cloud-native data platforms using technologies like Snowflake and BigQuery.
  • Manage the lifecycle of graph databases, ontology services, and knowledge graphs to improve data discoverability and context.
  • Drive the modernization of legacy systems through cloud adoption, automation, and infrastructure-as-code practices.
  • Establish engineering standards for data ingestion, orchestration, reliability, security, and cost management.
  • Develop AI-ready data foundations including vector search, GraphRAG architectures, and advanced retrieval capabilities.
  • Enable business intelligence by providing trusted datasets and self-service analytics tools like Tableau and ThoughtSpot.
  • Mentor and develop high-performing engineering teams while fostering a culture of technical excellence and innovation.

What we're looking for

  • 12+ years of experience in data platform engineering, architecture, semantic technologies, knowledge platforms, or related disciplines.
  • Proven track record of leadership in complex enterprise environments and building, operating, and modernizing large-scale data platforms.
  • Expertise in graph databases, semantic layers, ontology services, metadata platforms, and AI-ready knowledge architectures.
  • Deep understanding of platform engineering practices including ingestion, orchestration, observability, reliability, automation, and cost management.
  • Experience leading enterprise Third-Party Data capabilities, including external data acquisition and vendor-enabled service management.
  • Proficiency in AI-enabled data ecosystems including GraphRAG, vector databases, RAG architectures, and Snowflake Cortex or Gemini integrations.
  • Hands-on engineering background with the technical depth to guide architecture decisions and influence technology strategy.
  • Strong executive communication skills to explain complex technical concepts to both technical and non-technical audiences.

More like this

Similar roles

AVP, Data Platform Engineering

The Hartford

Remote (Hartford, CT) +1 85 days ago
Snowflake Spark Google BigQuery Dataproc Dataflow Informatica IDMC Graph Databases Knowledge Graphs Semantic Layers Ontology Services Vector Search RAG GraphRAG CI/CD Infrastructure-as-Code Tableau ThoughtSpot
10+ yrs exp Remote

Head of Data Platform Engineering

State Street

Boston, MA +3 34 days ago
SRE Agile Data Engineering Distributed Systems Cloud-Native Streaming Data Data Lake Lakehouse Observability

AI Data Platform Engineer

Apple Inc

Cupertino, CA 64 days ago $150,400–$277,600
Python SQL Java Scala Airflow Kubeflow MLflow Spark PySpark Kafka Ray Pandas Iceberg Delta Lake RAG Vector Databases Kubernetes Docker CI/CD AWS Azure GCP
5+ yrs exp

GCP Data Engineer

The Hartford

Charlotte, NC +3 60 days ago $100,960–$151,440
Google Cloud Platform BigQuery Python SQL GCS Dataplex CI/CD DataOps DevSecOps Terraform Snowflake Informatica IDMC Collibra API ETL ELT GitHub Copilot
Hybrid

AVP, AI Platform

LPL Financial

Fort Mill, NC +2 46 days ago $108,665–$181,177
AI LLM Gateways machine-learning APIs Distributed Systems Telemetry Observability Kong MCP Prompt Management Model Lifecycle Management Red Teaming Drift Detection FinOps Identity and Authorization Data Architecture A2A
7+ yrs exp Hybrid

AVP Software Engineering, Digital Enablement

The Hartford

Hartford, CT +2 3 days ago $182,000–$273,000
Cloud DevSecOps CI/CD APIs Distributed Systems Containers AI-assisted development Agentic AI Software Architecture Full-stack Engineering Data Governance Portfolio Management Automation
10+ yrs exp Hybrid