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The Hartford
The Hartford
H1B Visa SponsorB2CFinanceInsurance
The Hartford is an insurance and financial services company serving individuals, families, and small to midsize businesses. Founded in 1810, it provides auto, home, and business insurance alongside employee benefits and other insurance solutions. The company is also known for its AARP-endorsed auto and home insurance programs, which provide participating members with access to exclusive benefits and discounts.
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Assistant Vice President, Data Platform Engineering

Lead The Hartford’s enterprise data, semantic, knowledge, and AI-ready platform engineering strategy. Drive modernization, analytics enablement, knowledge platforms, and foundational capabilities for artificial intelligence.

USUnited StatesCTConnecticutNCNorth Carolina
$201,500 – $302,500 / year
HybridFull-timeLeadEnglish RequiredData Engineer
BigQueryCloudCyber SecurityInformaticaSparkTableau

Description

  • Set and deliver a multi-year strategy spanning enterprise data, semantic and knowledge platforms, analytics enablement, AI-ready data, integration services, third-party data, and platform modernization.
  • Provide senior technical leadership for enterprise data and knowledge platforms through architectural guidance, engineering direction, and technology decisions.
  • Direct the technology strategy for semantic and knowledge platforms, including graph databases, semantic layers, ontology services, metadata platforms, and knowledge graphs.
  • Collaborate with architecture, product, AI and analytics, cybersecurity, data governance, procurement, risk, legal, and business stakeholders on roadmaps, services, adoption plans, and measurable results.
  • Lead organizational transformation programs that strengthen engineering maturity, operational performance, delivery velocity, and team capabilities.
  • Recruit, coach, mentor, and develop engineering leaders and teams through talent development, succession planning, and organizational design.
  • Oversee teams supporting enterprise data, semantic, and knowledge platforms, including Snowflake, Spark, Google BigQuery, Dataproc, Dataflow, graph databases, metadata platforms, and Informatica IDMC.
  • Advance cloud adoption, platform rationalization, legacy migration, automation, standardization, self-service, reusable engineering patterns, CI/CD, and infrastructure as code.
  • Own the lifecycle, scalability, performance, reliability, observability, security, compliance, and operational support of graph database, semantic, ontology, metadata, and knowledge graph platforms.
  • Define engineering standards for graph databases, semantic technologies, metadata services, business vocabularies, entity relationship management, and AI-ready information architectures.
  • Lead the strategy, modernization, adoption, governance, interoperability, and sustainability of semantic and knowledge platforms.
  • Assess and guide implementations involving graph databases, semantic search, contextual metadata, GraphRAG, vector search, and emerging knowledge platforms.
  • Enable enterprise analytics and business intelligence through Tableau and ThoughtSpot, including trusted datasets, reusable data products, governed access, semantic modeling, and self-service analytics.
  • Advance conversational analytics, Chat with Data, AI-assisted insight generation, embedded intelligence, and agentic analytics.
  • Build AI-ready data foundations using ontology frameworks, semantic layers, graph databases, knowledge graphs, contextual metadata, business vocabularies, and trusted enterprise knowledge models.
  • Collaborate with AI and analytics leaders on emerging AI use cases and future AI initiatives.
  • Support Snowflake Cortex, Gemini Enterprise integrations with BigQuery, vector search, RAG, GraphRAG, and AI/ML platform interoperability.

Requirements

  • At least 12 years of experience in data platform engineering, data architecture, semantic technologies, knowledge platforms, cloud data platforms, analytics technologies, infrastructure engineering, or related fields.
  • Demonstrated leadership in complex enterprise environments.
  • Extensive experience building, operating, and modernizing enterprise-scale data, semantic, and knowledge platforms.
  • Strong command of platform architecture, ingestion, orchestration, transformation, observability, reliability, automation, performance tuning, cost management, security, and operational support.
  • Substantial engineering and platform leadership experience with graph databases, semantic technologies, ontology-driven solutions, knowledge graphs, metadata platforms, metrics layers, or related enterprise knowledge technologies.
  • Experience directing architecture, scalability, optimization, reliability, and operational support for graph database platforms, semantic layers, ontology services, and AI-ready knowledge architectures.
  • Deep knowledge of semantic technologies, contextual metadata, entity and relationship modeling, business vocabularies, knowledge representation, and trusted business definitions.
  • Hands-on engineering experience with the technical depth to guide architecture decisions and assess engineering tradeoffs.
  • A record of leading platform modernization, cloud transformation, engineering maturity improvements, and organizational change initiatives.
  • Experience leading enterprise third-party data capabilities, including external data acquisition, vendor-enabled data services, onboarding frameworks, governance, compliance, and operations.
  • Strong understanding of GraphRAG, vector databases, vector search, Retrieval-Augmented Generation, Snowflake Cortex, Gemini Enterprise integrations, agentic AI, and AI/ML integration patterns.
  • Exceptional strategic thinking, systems thinking, and problem-solving ability.
  • Excellent executive communication, presentation, and storytelling skills.
  • Proven ability to build, mentor, and develop high-performing teams during organizational change and transformation.
  • Experience influencing stakeholders and delivering results within highly matrixed organizations.

Benefits

  • Hybrid or remote work arrangement.
  • Short-term or annual bonus opportunities.
  • Long-term incentives.
  • On-the-spot recognition.
  • Perks and benefits package.

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