Director, Data Ontology
Leads design, maintenance, and governance of healthcare advertising data ontology, knowledge graphs, and documentation to enable AI agents and cross-functional data reasoning. Requires 7+ years in data modeling with healthcare background and strong SQL skills.
What You’ll Do
Data ontology and knowledge architecture
- Design and maintain DeepIntent's healthcare advertising ontology across healthcare and media domains
- Map external standards (i.e. ICD-10, etc) to DeepIntent's internal data model, when applicable
- Build and manage a knowledge graph that connects our data and products into a coherent, traversable semantic layer
Data documentation and discoverability
- Create and own the company data dictionary/spine, making it the authoritative source of truth for every data asset, metric definition, and field
- Ensure all datasets are tagged, described, and discoverable by both humans and AI systems
- Partner with Engineering to embed documentation into data pipelines (dbt, BigQuery, etc.) so it stays current
AI readiness
- Structure data assets so they can be consumed by people as well as LLMs and AI agents with minimal prompt engineering overhead
- Define the schemas, metadata standards, and retrieval patterns that let AI agents reliably query DeepIntent data
- Work directly with Business Intelligence, Revenue Strategy, the Company’s CTO, CEO and AI engineering leads on context architecture for knowledge-dependent workflows
Governance and alignment
- Partner with teams to help establish and enforce data definitions across functions while resolving definitional conflicts when encountered
- Participate in a lightweight data governance council across Revenue, Product, Engineering, and Data Science
- Serve as the internal expert on healthcare and media data standards and their application to advertising use cases
Compensation
Base salary range of $180,000-$200,000, annualized bonus plan, and competitive benefits.
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