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Pharma Business Transformation SME

Work from home Full-time role Hiring

Position:-Pharma Business Transformation SME – Data Ontology & Knowledge Graph Location: Remote Type:- Contract Experience: 12+ Years Industry: Pharmaceutical / Life Sciences

About the Role

  • We are seeking an experienced Pharma Business Transformation SME with deep expertise in Data Ontology, Semantic Modeling, and Knowledge Graphs to lead the development of an enterprise-wide Pharmaceutical Knowledge Graph. This role will partner with business and technology leaders to create a semantic data foundation that enables AI, advanced analytics, and digital transformation across the pharma value chain.
  • Key Responsibilities
  • Define and lead enterprise ontology and semantic data strategies.
  • Design pharmaceutical ontologies covering R&D, Clinical, Regulatory, Safety, Manufacturing, Quality, Medical Affairs, and Commercial domains.
  • Build and govern knowledge graphs, taxonomies, vocabularies, and semantic models.
  • Collaborate with business stakeholders, data architects, and AI teams to establish a unified view of enterprise data.
  • Drive adoption of industry standards such as CDISC, MedDRA, FHIR, SNOMED, and IDMP.
  • Enable AI/GenAI, data discovery, interoperability, and decision intelligence through semantic technologies.
  • Establish data governance, stewardship, and ontology management processes.

Required Qualifications:

  • 12+ years of experience in Pharmaceuticals or Life Sciences.
  • 5+ years of hands-on experience in Ontology Engineering, Semantic Modeling, or Knowledge Graph implementations.
  • Strong understanding of pharmaceutical business processes and data domains.
  • Experience with RDF, OWL, SPARQL, SKOS, and graph technologies.
  • Expertise with platforms such as Neo4j, Stardog, Ontotext, Amazon Neptune, Collibra, or similar.
  • Proven track record leading enterprise data transformation initiatives.
  • Preferred Qualifications
  • Experience implementing enterprise knowledge graphs for global pharma organizations.
  • Familiarity with AI/GenAI, Data Fabric, Metadata Management, and Master Data Management (MDM).

Advanced degree in Life Sciences, Bioinformatics, Data Science, or Computer Science. Thanks Sudheera Sr. Talent Acquisition Select Jarvis LLC E:- T:-

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