Knowledge Graph Architect – Pharma Market Access Location: Mettawa, IL (Onsite) Rate: $80/hr on C2C Indent: PSL307902-1-1
Role Overview We are seeking a highly skilled Knowledge Graph Architect – Pharma Market Access with strong expertise in Knowledge Graphs (Neo4j or Amazon Neptune) and ontology-driven data modelling, combined with deep pharmaceutical domain knowledge—especially in Market Access. This role requires bridging the gap between business stakeholders and technical teams, translating complex market access use cases into scalable data and graph architectures that enable advanced analytics and AI-driven insights.
Functional & Domain Leadership
Work closely with market access, commercial, and business teams to understand key problems
Translate business requirements into structured data models, ontologies, and graph schemas
Act as a functional SME for pharma market access concepts
Knowledge Graph & Data Architecture
Design and implement enterprise knowledge graph solutions using Neo4j or Amazon Neptune
Define graph data models, including nodes, relationships, and properties aligned to business use cases
Build and maintain ontology frameworks capturing domain semantics and relationships
Ensure scalability, performance, and maintainability of graph-based architectures
Ontology & Semantic Modeling
Develop domain ontologies and taxonomies to standardize business terminology
Align multiple data sources into a unified semantic layer
Enable context-driven insights through semantic enrichment of data
Business-to-Technical Translation
Define KPIs and metrics frameworks aligned to business outcomes
Collaborate with data engineers and AI/ML teams to operationalize solutions
5. Data Integration & Governance · Ensure data quality, lineage, and governance standards · Establish best practices for data modeling and graph ingestion pipelines 6. Stakeholder Management
Act as a key liaison between:
Business teams
Data engineering teams
AI/analytics teams
Support client discussions, workshops, and solution presentations
Drive adoption of knowledge graph-based solutions across stakeholders
Required Skills & Qualifications Technical Skills
Strong experience with Knowledge Graph technologies:
Neo4j (preferred) or Amazon Neptune
Proficiency in:
Cypher / SPARQL / Gremlin
Graph data modeling and schema design
Experience with:
Data integration and pipeline design
Graph RAG or semantic search (good to have)
Familiarity with cloud platforms (AWS/Azure/GCP)
Functional & Domain Expertise
Deep understanding of Pharma Market Access domain
Ability to map business processes to data structures and graph models
Soft Skills
Strong ability to translate business requirements into technical solutions
Excellent communication and stakeholder management skills
Experience working in client-facing roles and cross-functional teams
Problem-solving mindset with attention to detail
Preferred Qualifications
Prior experience in pharmaceutical analytics or consulting
Exposure to AI/ML and Generative AI use cases (Graph RAG, knowledge-driven AI)
Experience defining enterprise ontologies or semantic layers
Certifications in cloud or data architecture are a plus
Numbers & Facts
Location
Alexandria, VA
Skills
Amazon Web Services (AWS)unmatched
Artificial Intelligence (AI)unmatched
Best Practicesunmatched
Biotech and Pharmaceuticalunmatched
Business Caseunmatched
Business Processesunmatched
Business Skillsunmatched
Cloud Architectureunmatched
Cloud Computingunmatched
Communication Skillsunmatched
Consultingunmatched
Cross-Functionalunmatched
Customer Relationsunmatched
Customer Support/Serviceunmatched
Data Managementunmatched
Data Modelingunmatched
Data Processingunmatched
Data Qualityunmatched
Database Designunmatched
Detail Orientedunmatched
GCP (Good Clinical Practices)unmatched
Graph Database Data Formatunmatched
Leadershipunmatched
Metricsunmatched
Microsoft Windows Azureunmatched
Neo4junmatched
Ontologyunmatched
Performance Metricsunmatched
Pharmaceutical Analysisunmatched
Problem Solving Skillsunmatched
Requirements Managementunmatched
SPARQLunmatched
Structured Dataunmatched
Taxonomiesunmatched
Use Casesunmatched
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