Sr. Engineer, Data Governance & AI Enablement
Core
Building the foundation for enterprise AI by strengthening core knowledge management capabilities via the development, governance, and adoption of enterprise data assets and knowledge structures.
Role type
Senior Data Governance & AI Enablement Engineer
Builds
Enterprise data assets, knowledge structures (business glossaries, semantic layers, ontologies, knowledge graphs), and governed metrics for AI and analytics.
Domain
Healthcare (Medicare Advantage, clinical analytics, medical economics) + Data Governance & AI
Deliverable
production ML models | product features | dashboards & analysis
Required skills
Semantic layer design, ontology and knowledge graph development, metadata management, data lineage tracking, business glossary management, data quality validation, SQL, Agile/SAFe delivery
Preferred skills
Healthcare domain expertise (claims, member, provider data), retrieval-augmented generation (RAG), AI-assisted documentation tools, open lakehouse concepts (Iceberg, Delta Lake), BI platforms (Power BI, Tableau)
Technologies
Snowflake, Databricks, Apache Iceberg, Delta Lake, Power BI, Tableau, SSRS, Cortex Code, Claude Code
Responsibilities
Develop dimensional models and governed metrics for consistent AI use cases; Identify key business entities and relationships for ontologies and knowledge graphs; Govern and document data assets across cloud environments; Maintain and enrich the enterprise data catalog; Perform data and metric validation for accuracy and consistency; Partner with stakeholders to execute governance and AI-readiness priorities
Seniority
Senior, hands-on IC
