Context Engineer-II
Core
Design, implement, and govern the enterprise semantic layer and business context layer to enable consistent interpretation of Commercial data across Sales, Marketing, Medical Affairs, and Analytics teams.
Role type
Senior IC semantic data architect / context engineer
Builds
Ontological models, taxonomy frameworks, business glossaries, metadata management practices, and business context layers
Domain
Life sciences commercial data governance and semantic modeling
Deliverable
production ML models | product features | dashboards & analysis | research | client delivery | infrastructure | physical/clinical work
Required skills
Ontology development, taxonomy design, business glossary management, metadata management, semantic mappings, data governance, SQL, Python, dbt, cloud data platforms
Preferred skills
AI context engineering, knowledge graph-enabled retrieval, RAG concepts, responsible AI practices, regulated life sciences data governance
Technologies
RDF/RDFS, OWL, SPARQL, SKOS, SHACL, JSON-LD, Protégé, PoolParty, TopBraid, Collibra, Alation, Atlan, Microsoft Purview, Informatica Axon, Snowflake, Databricks, Redshift, Veeva, IQVIA, Symphony Health
Responsibilities
Design and maintain ontological models representing Commercial domain knowledge structures; Develop and maintain taxonomy frameworks for Commercial content and data assets; Build and govern the Commercial business glossary; Establish metadata management practices for Commercial data assets; Maintain semantic mappings between business concepts and data models; Operate semantic governance processes for ontologies and glossaries; Partner with data architects and business stakeholders to validate definitions and resolve semantic ambiguity
Seniority
Senior, hands-on IC
