Functional Data Architect – Knowledge Graph

Hi,

Our client is looking Functional Data Architect – Knowledge Graph for Long term project in Mettawa, IL below is the detailed requirements

• .
• Job Title: Functional Data Architect – Knowledge Graph (Pharma Market Acces
• s)Location: Mettawa,
• ILDomain: Pharma / Health Ca

• re
• Qualifications & Experien
• ce:Bachelor's degree in Computer Science, Information Systems, Data Science, Engineering, Life Sciences, or a related field with 12-14+ years of overall IT experien
• ce.Strong experience designing and implementing Knowledge Graph solutions using Neo4j (preferred) or Amazon Neptu
• ne.Proven expertise in ontology development, semantic modeling, and graph data architectu
• re.Deep understanding of Pharmaceutical Market Access processes, including payer, formulary, reimbursement, pricing, and access-related analyti
• cs.Hands-on experience with graph query languages such as Cypher, SPARQL, and/or Greml
• in.Experience designing enterprise data models, semantic layers, taxonomies, and metadata framewor
• ks.Strong experience integrating multiple data sources into scalable and governed graph-based solutio
• ns.Familiarity with cloud platforms such as AWS, Azure, or G
• CP.Experience working with AI/ML, Graph RAG, semantic search, or knowledge-driven analytics solutions is preferr
• ed.Strong communication, stakeholder management, and client-facing consulting experien
• ce.Experience working within Agile delivery environments and collaborating across business and technical tea
• ms.Key Responsibiliti
• es:Collaborate with Market Access, Commercial, and Business stakeholders to understand business challenges and define data-driven solutio
• ns.Translate business requirements into scalable knowledge graph architectures, semantic models, ontologies, and graph schem
• as.Design and implement enterprise Knowledge Graph solutions using Neo4j or Amazon Neptu
• ne.Define graph data structures including nodes, relationships, properties, and business semantics aligned with enterprise use cas
• es.Develop and maintain domain ontologies, taxonomies, and semantic frameworks to standardize business terminology and relationshi
• ps.Create a unified semantic layer by integrating and harmonizing data from multiple internal and external sourc
• es.Define KPIs, business metrics, and analytical frameworks to support Market Access and commercial decision-maki
• ng.Partner with Data Engineering, AI/ML, and Analytics teams to operationalize graph-based solutions and advanced analytics capabiliti
• es.Establish best practices for graph data modeling, data quality, governance, lineage, and ingestion framewor
• ks.Facilitate stakeholder workshops, client discussions, architecture reviews, and solution presentatio
• ns.Drive adoption of Knowledge Graph and semantic technologies across business and technical organizatio

ns.