Lead Semantic Layer Engineer

Oracle•United States,

4d•$99,600 - $209,500

About The Position

Oracle Health is seeking a Lead Semantic Layer Engineer to build and govern the semantic and knowledge foundation that enables AI agents and end users to work with consistent business definitions, trusted metrics, and reusable analytics logic. The role owns the design and governance of semantic assets across priority analytics domains, including business entities, relationships, metrics, dimensions, hierarchies, glossary terms, lineage, and validation rules. This foundation will support AI-driven analytics such as metric design, natural-language search, self-service reporting, dashboard generation, and executive narrative creation. The position combines analytics engineering and data modeling with metric governance and business semantics. It partners with analytics, reporting, and data teams to reconcile definitions and reduce conflicting logic, and helps ensure AI outputs are accurate, explainable, and aligned with Oracle Health business meaning. The role also establishes documentation, lineage, versioning, and change-management practices for semantic assets and helps create a governed knowledge foundation for enterprise-safe AI outputs.

Requirements

Semantic layer design.
Data modeling and analytics engineering.
Metric governance.
Business glossary and semantic definition management.
SQL and data warehouse concepts.
BI and reporting systems.
Metadata, lineage, and documentation practices.
Self-service analytics design.
Natural language analytics enablement.
Cross-functional collaboration.
Strong written communication.
Versioning and governance of analytical assets.

Responsibilities

Design and implement a governed semantic layer for key analytics domains, including entities, relationships, dimensions, metrics, hierarchies, and business rules.
Define certification and validation workflows for business metrics and semantic definitions.
Build and maintain business glossary content, synonyms, reference logic, and reusable definitions for AI search and natural-language interaction.
Partner with analytics, reporting, and data teams to reconcile metric definitions and reduce duplicate or conflicting business logic.
Enable AI and self-service reporting use cases by exposing trusted semantic definitions in machine-usable formats.
Support AI workflows such as metric design, report generation, dashboard scaffolding, and narrative generation through high-quality semantic metadata.
Establish documentation, lineage, versioning, and change-management practices for semantic assets.
Help create the governed knowledge foundation required for accurate, explainable, enterprise-safe AI outputs.

Benefits

Medical, dental, and vision insurance, including expert medical opinion.
Short-term and long-term disability insurance.
Life insurance and AD&D; supplemental life insurance for employees, spouses, and children.
Health care and dependent care Flexible Spending Accounts.
Pre-tax commuter and parking benefits.
401(k) Savings and Investment Plan with company match.
Flexible or accrued vacation, depending on employee eligibility and position; vacation accrual varies by hours worked and tenure.
11 paid holidays.
Paid sick leave: 72 hours upon hire, refreshed each calendar year, with unused balance carrying over up to a 112-hour maximum.
Paid parental leave.
Adoption assistance.
Employee Stock Purchase Plan.
Financial planning and group legal benefits.
Voluntary auto, homeowner, and pet insurance.
May be eligible for bonus and equity.