✦ Luna Orbit — Executive & General Management

Untitled Position

at Company

Hybrid Posted March 29, 2026
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Position Details

Type Full-Time
Experience executive
Exp. Years 15+ years in enterprise data management, architecture, or governance, including at least 7 years in senior leadership roles
Education Bachelor's Degree in Data Science, Computer Science, Information Management, or a related technical field
Category Executive & General Management

About this role

Executive leader responsible for Travelers' enterprise data enablement strategy to produce AI-ready, governed data and optimized data platforms.

Key Responsibilities

  • Develop and execute enterprise-wide data strategies for AI-ready data
  • Implement and maintain DGaaS frameworks with metadata capture, lineage tracking, and policy enforcement
  • Lead the evolution of Travelers' data platform strategy, integrating cloud-based architectures, data lakes, warehouses, vector databases, and MLOps frameworks
  • Own the enterprise data integration strategy, designing scalable pipelines with data contracts and schema governance
  • Develop and manage sourcing, contracting, and operationalization of external data assets

Technical Overview

Leads data platform evolution across cloud-based architectures, data lakes/warehouses, vector databases, and MLOps; oversees data integration, DGaaS, metadata capture, lineage tracking, and policy enforcement.

Ideal Candidate

The ideal candidate is an executive data leader with 15+ years in enterprise data management and governance, capable of architecting AI-ready data platforms and driving cross-functional change across business units.

Must-Have Skills

Bachelor's Degree in Data ScienceComputer ScienceInformation Managementor a related technical fieldMinimum of 10 years of experience in enterprise data managementplatform architectureor data governanceMinimum of 5 years in a senior leadership role overseeing multi-disciplinary data teams

Nice-to-Have Skills

Master's Degree in Data ScienceComputer ScienceInformation Managementor relatedInsurance/financial services industry experienceCertifications such as AIGPCIPPand CDMP

Required Skills

data governancemetadata managementdata catalogsemantic labelingbias detectiondrift monitoringdata versioningdata qualitydata pipelinesschema governancevector databasesdata lakesdata warehousesMLOpsdata observabilityexternal data assetsAI-ready datacloud platformsregulatory complianceAI modelsdata integrationdata contracts

Hard Skills

Data GovernanceMetadata ManagementData CatalogSemantic LabelingBias DetectionDrift MonitoringData VersioningData QualityData PipelinesSchema GovernanceDGaaSData ObservabilityLakes & WarehousesVector DatabasesMLOpsExternal Data AssetsAI-ready dataCloud PlatformsRegulatory ComplianceAI ModelsData IntegrationData SourcingData Contracts

Soft Skills

Executive communicationLeadershipCross-functional collaborationStrategic thinkingMentoringChange managementPartnership building

Certifications

Preferred

AIGPCIPPCDMP

Industry & Role

Industry Insurance
Job Function Lead enterprise data governance, architecture, and enablement to support AI/analytics initiatives
Role Subtype Executive & General Management
Tech Domains Data Governance, Data Analytics, Cloud Platforms

Keywords for Your Resume

vpenterprise data enablementdata governancemetadata enrichmentsemantic labelingcatalog managementbias detectiondrift monitoringdata versioningdata qualitydata governance as a servicedata pipelinesschema governancevector databasesdata lakesdata warehousesMLOpsdata observabilityexternal data assetsAI-ready dataregulatory complianceAI modelsdata integrationdata contractslead data engineerscross-functional partnershipsexecutive communicationdata platformcloud platformsdgaaSmetadata capturelineage trackingmetadata managementdata catalog

Deal Breakers

Less than 10 years of experience in enterprise data management, No senior leadership experience, Lacking data governance or AI data platform experience, Unwilling to work hybrid/onsite at 2 locations, No track record of cross-functional partnerships

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