✦ Luna Orbit — Data & Analytics

Dir AI & Data Engineering

at One Call

📍 Remote, US Remote 💰 $163K – $261K USD / year Posted March 06, 2026
Salary $163K – $261K USD / year
Type Full-Time
Experience lead
Exp. Years Not specified
Education Not specified
Category Data & Analytics

Lead the development of the AI platform at One Call, focusing on building foundational data engineering capabilities that support AI-driven automation and workflows in healthcare claims management.

  • Build and lead AI platform
  • Establish data semantics and quality standards
  • Enable AI-driven workflows
  • Collaborate with product teams
  • Drive data enrichment initiatives

This role involves designing and implementing data semantics, quality standards, and automation pipelines using data engineering best practices, supporting AI and product teams.

The ideal candidate is a senior data engineer with extensive experience in AI platform development, data semantics, and automation within healthcare or similar industries. They possess strong leadership skills and a proven track record of building scalable data foundations for AI-driven workflows.

Data EngineeringAI PlatformData SemanticsData Quality StandardsWorkflow Automation
AIArtificial IntelligenceAutomationProduct Management
Data PlatformsAI Platforms
AIArtificial IntelligenceData EngineeringData PlatformData SemanticsData Quality StandardsWorkflow AutomationData ConsumptionData Enrichment
AIArtificial IntelligenceData EngineeringData PlatformData SemanticsData Quality StandardsData ConsumptionData EnrichmentWorkflow AutomationAI SystemsProduct TeamsEngineering Foundation
LeadershipCollaborationInnovationCommunicationProblem-solving
Industry Healthcare IT
Job Function Data Engineering and AI Platform Leadership
AIArtificial IntelligenceData EngineeringData PlatformData SemanticsData Quality StandardsWorkflow AutomationAI SystemsProduct TeamsData ConsumptionData Enrichment

Lack of experience in data engineering or AI platforms, No leadership or team-building experience, Unfamiliarity with healthcare data standards

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