Associate Director, Information Architecture

Otsuka Pharmaceutical Co., Ltd. • Princeton, NJ

2d • $169,222 - $253,000 • Remote

About The Position

We are seeking an experienced Associate Director, Information Architecture to join our IT Data and AI Platform organization and shape the foundation upon which Otsuka's Information Governance Program will be built. In this pivotal role, you will define the guidelines, standards, and reference architectures that govern how data is structured, described, and connected across the enterprise—making information discoverable, trusted, and ready to fuel analytics, AI, and business decision-making.
This role is anchored by three strategic pillars: (1) establishing enterprise-wide information architecture standards that align data structures across domains with business processes; (2) enabling semantic understanding and findability through taxonomies, ontologies, knowledge graphs, and AI context layers; and (3) partnering with data domain teams and stewards to ensure the architecture is adopted, evolves with the business, and delivers measurable value.
At Otsuka, we defy limitation, so that others can too. We have an unwavering belief in doing more. In transcending expectations. In going above and beyond—under any circumstances—for patients, families, providers, and for each other. It's this deep-rooted dedication that drives us to uncover answers to complex, underserved medical needs, so that patients can push past the limitations of their disease and achieve more than they thought was possible each and every day.
We believe that the bigger the challenge, the bigger the opportunity. We are doing everything in our power to live up to our mission of creating new products for better health worldwide in two important therapeutic categories: neuroscience and nephrology.

Requirements

• Minimum of 8+ years of progressive experience in Information Architecture, Data Architecture, or Enterprise Data Modeling, with at least 3 years in a senior/lead capacity.
• Demonstrated experience working in the pharmaceutical, biotechnology, or life sciences industry, with deep knowledge of pharma data, data flows, and business processes across R&D, Clinical, Commercial, and/or compliance/security domain.
• Hands-on expertise with pharmaceutical and healthcare data standards, including CDISC (SDTM, ADaM, CDASH), HL7 / FHIR, OMOP, IDMP, and other regulatory data standards.
• Deep expertise in conceptual, logical, and physical data modeling across relational, dimensional, and graph paradigms.
• Strong experience in defining and governing taxonomies, ontologies, controlled vocabularies, and semantic layers (RDF, OWL, SKOS).
• Hands-on experience designing and operationalizing knowledge graphs and semantic technologies for enterprise use cases.
• Familiarity with AI Context Layers, semantic layers for GenAI/LLM applications, and grounding techniques for retrieval-augmented generation (RAG).
• Experience with enterprise data cataloging and metadata management platforms (e.g., Atlan, Collibra, Alation, Informatica).
• Understanding of data governance operating models and the interplay between architecture, stewardship, and quality.
• Working knowledge of cloud data platforms (AWS, Azure, Snowflake) and their information architecture implications.
• Excellent communication and influencing skills with the ability to translate complex architectural concepts for technical and non-technical audiences.
• Experience leading cross-functional initiatives and managing stakeholder relationships at all organizational levels.
• Strong analytical, conceptual, and systematic problem-solving abilities.
• Customer-Focused: Anticipates user needs and delivers practical, value-driven solutions.
• Accountable: Owns technical deliverables and outcomes.
• Innovative: Challenges the status quo and champions new ideas.
• Collaborative: Builds strong partnerships across disciplines and cultures.
• Ethical: Demonstrates integrity and aligns with Otsuka's corporate values.
• Resilient: Adapts quickly to new challenges and shifting priorities.
• People Leadership: Ability to lead, coach, and mentor Information Architects and domain-aligned data modelers.

Nice To Haves

• Master's degree in Information Architecture, Data Science, Health Informatics, or a related discipline.
• CDMP (Certified Data Management Professional) – DAMA International
• TOGAF – The Open Group Architecture Framework
• CBIP (Certified Business Intelligence Professional) – TDWI
• Certifications in ontology engineering, knowledge graphs, or semantic web technologies
• Cloud data certifications (AWS, Azure, Snowflake)
• ITIL Foundation or comparable IT service management certification

Responsibilities

• Define and maintain the enterprise information architecture strategy, principles, and reference models that guide how data is structured across data domains (R&D, Clinical, Commercial, Compliance/Security, Corporate).
• Establish enterprise standards for data modeling, taxonomies, ontologies, controlled vocabularies, and semantic layers.
• Ensure alignment with industry standards relevant to pharmaceutical and healthcare data, including CDISC (SDTM, ADaM, CDASH), HL7 / FHIR, OMOP, IDMP, and other applicable frameworks.
• Develop the roadmap for evolving Otsuka's information architecture in support of AI, GenAI, and advanced analytics use cases.
• Partner with Data Stewards and Data Owners to define conceptual, logical, and physical data models across domains.
• Map data assets to business processes and business capabilities, providing end-to-end visibility of data lifecycle from creation to consumption.
• Identify and drive resolution of structural gaps, redundancies, and inconsistencies across data domains.
• Collaborate with Solution Architects and Platform Leads to ensure that solution designs align with enterprise information architecture standards.
• Design and govern enterprise taxonomies and ontologies that enable consistent classification, tagging, and semantic interoperability of information assets.
• Lead the design and evolution of enterprise knowledge graphs to connect entities, relationships, and business context across data assets.
• Define the metadata framework required to support knowledge graph population, curation, and evolution.
• Partner with the Enterprise Data Catalogue Platform Owner to operationalize taxonomies, ontologies, and semantic assets in tools such as Atlan and integrate them across the data ecosystem.
• Define and evolve the AI Context Layer—the semantic layer that enables Large Language Models (LLMs), agents, and RAG pipelines to reliably access, interpret, and reason over enterprise data.
• Establish standards for structured context, prompt-grounding metadata, and semantic annotations required by AI applications.
• Collaborate with the AI Platform Lead, AI Engineers, and Data Scientists to ensure that AI solutions are grounded in accurate, well-described, and governed data.
• Contribute to the responsible AI framework by ensuring explainability, provenance, and traceability of AI-consumed data assets.
• Partner with Data Stewards, Data Owners, and Data Product Owners to embed information architecture standards into their day-to-day practices.
• Develop training, playbooks, and reference implementations to accelerate adoption of information architecture standards across the enterprise.
• Coach and mentor the Information Architect(s) and provide technical guidance to domain-aligned modelers.
• Serve as a trusted advisor to business and IT stakeholders on all matters of information structure, semantics, and interoperability.
• Collaborate with the Data Quality & Metadata Lead to ensure that architectural standards are supported by quality controls and metadata practices.
• Partner with the Data and Analytics Service Delivery Leads to ensure solution delivery aligns with enterprise information architecture.
• Engage with Information Security, Legal, and Compliance to embed classification, sensitivity, and regulatory dimensions into the information architecture.
• Represent Information Architecture in enterprise architecture forums, data governance councils, and cross-functional working groups.

Benefits

• Comprehensive medical, dental, vision, prescription drug coverage
• Company provided basic life, accidental death & dismemberment, short-term and long-term disability insurance
• Tuition reimbursement
• Student loan assistance
• A generous 401(k) match
• Flexible time off
• Paid holidays
• Paid leave programs

What This Job Offers

• Job Type: Full-time
• Career Level: Senior