Associate Director, IA & Semantic Architecture

Otsuka Pharmaceutical Co., Ltd; Princeton (NJ); On-site; USD 169,000 - 253,000; Full time

Benefits offered by this job

Comprehensive medical, dental, vision

401(k) matching

Paid holidays & leave programs

Tuition reimbursement

Job summary

Otsuka Pharmaceutical Co., Ltd seeks an Associate Director, Information Architecture to define enterprise IA standards and reference models, enabling semantic interoperability across R&D, Clinical, Commercial, and Compliance. You will lead taxonomy, ontology, and knowledge graph initiatives and drive AI context layer implementations for AI/GenAI deployments.

Collaborating with data stewards, owners, and platform leads, you will ensure architecture aligns with governance, security, and quality

Qualifications

• 8+ years in Information/Data Architecture or Enterprise Data Modeling.
• Experience in pharmaceutical/life sciences data standards (CDISC, HL7/FHIR, OMOP, IDMP).
• Hands-on design of taxonomies, ontologies, and knowledge graphs.
• Experience with AI context layers and RAG/GenAI grounding.
• Familiarity with data governance, cataloging platforms, and cloud data.

Responsibilities

• Define enterprise information architecture strategy, standards, and reference models.
• Model data across domains and map assets to business processes.
• Design and govern taxonomies, ontologies, and knowledge graphs.
• Lead AI context layer development for AI/GenAI use cases and LLMs.
• Collaborate with stewardship, security, and cross-functional teams; coach others.

Skills

Information Architecture

Pharma Data

CDISC/HL7-FHIR

Knowledge Graphs

Taxonomies/Ontologies

Data Modeling

Data Catalogs

AI Context Layers

Cloud Platforms

Leadership

Education

Bachelor's degree in Information Science/CS

Master's degree preferred

Tools

Atlan

Collibra

Alation

Snowflake

Job description

Otsuka Pharmaceutical Co., Ltd seeks an Associate Director, Information Architecture to define enterprise IA standards and reference models, enabling semantic interoperability across R&D, Clinical, Commercial, and Compliance. You will lead taxonomy, ontology, and knowledge graph initiatives and drive AI context layer implementations for AI/GenAI deployments.

Collaborating with data stewards, owners, and platform leads, you will ensure architecture aligns with governance, security, and quality