Head of Data Platform & Knowledge Graph Engineering

thehartford

Hartford (CT)

On-site

USD 180,000 - 240,000

Full time

5 days ago
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Job summary

The Hartford is seeking an AVP, Data Platform Engineering to lead enterprise data platforms, semantic and knowledge platforms, analytics capabilities, and AI-enabled data solutions. You will drive platform strategy, engineering excellence, and the modernization of graph-based and knowledge graph technologies to support enterprise priorities.

You will lead teams that build, modernize, and operate scalable, secure data platforms, guide technology decisions, and collaborate with senior business and

Qualifications

  • Leads enterprise data platforms strategy and execution.
  • Experience with semantic/knowledge platforms and AI-enabled data capabilities.
  • Ability to guide architecture decisions and platform roadmaps.

Responsibilities

  • Define and execute multi-year strategy for enterprise data platforms and AI-enabled capabilities.
  • Provide architecture guidance across data, analytics, AI, and external data ecosystems.
  • Lead executive technology leadership for semantic and knowledge platforms including graph databases and metadata services.
  • Partner with cross-functional leaders to define roadmaps and measurable outcomes.
  • Drive platform modernization and organizational transformation to improve delivery speed.
  • Mentor and develop high-performing engineering teams and leaders.

Skills

Engineering leadership
Data platform expertise
AI-ready data architectures

Tools

Snowflake
Spark
Google BigQuery
Dataproc
Dataflow
Informatica IDMC
Graph databases
Ontology services

Job description

The Hartford is seeking an AVP, Data Platform Engineering to lead enterprise data platforms, semantic and knowledge platforms, analytics capabilities, and AI-enabled data solutions. You will drive platform strategy, engineering excellence, and the modernization of graph-based and knowledge graph technologies to support enterprise priorities.

You will lead teams that build, modernize, and operate scalable, secure data platforms, guide technology decisions, and collaborate with senior business and

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