Semantic Layer & Knowledge Engineering Lead

Oracle Oracle · Enterprise · United States

Lead Semantic Layer Engineer to build a governed semantic and knowledge foundation for AI agents and end users, enabling AI-driven analytics use cases like natural-language search and report generation.

What you'd actually do

  1. Design and implement a governed semantic layer for key analytics domains, including entities, relationships, dimensions, metrics, hierarchies, and business rules.
  2. Define certification and validation workflows for business metrics and semantic definitions.
  3. Build and maintain business glossary content, synonyms, reference logic, and reusable definitions that support AI search and natural-language interaction.
  4. Partner with analytics, reporting, and data teams to reconcile metric definitions and reduce duplicate or conflicting business logic.
  5. Enable AI and self-service reporting use cases by exposing trusted semantic definitions in machine-usable formats.

Skills

Required

  • semantic layer design
  • knowledge engineering
  • analytics engineering
  • data modeling
  • metric governance
  • business semantics
  • AI enablement

Nice to have

  • natural-language search
  • self-service reporting
  • dashboard generation
  • executive narrative creation

What the JD emphasized

  • AI agents
  • trusted metrics
  • reusable analytics logic
  • governed semantic layer
  • business semantics
  • trusted definitions
  • AI outputs are accurate, explainable, and aligned with Oracle Health business meaning
  • AI search
  • AI workflows
  • enterprise-safe AI outputs

Other signals

  • enabling AI agents
  • trusted semantic definitions for AI
  • governed semantic layer