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Niche senior semantic/knowledge-graph role in metro reduces applicant competition despite corporate pharma brand.
Pharma commercial semantics, regulatory and glossary knowledge increases domain specificity and reduces cross-industry transferability.
Specialized semantic, governance, and regulated-pharma requirements imply stringent candidate filters.
Design, build, and govern the Commercial semantic and AI context layer, enabling consistent interpretation of Commercial data and business logic across multiple business and analytics teams.
Develop and maintain ontological models, taxonomy frameworks, business glossaries, and metadata management practices that structure Commercial domain knowledge for AI agents and business users.
Own semantic governance processes ensuring accuracy, currency, compliance, and enterprise alignment of the business/AI context layer supporting AI agents, analytics, and data products.
Work Experience Required: Not explicitly mentioned in the JD
Experience with ontological modeling, taxonomy frameworks, metadata management, and semantic governance in a commercial or life sciences context.
Understanding of AI/ML operations and ability to integrate semantic context for AI agents and data products.
Compliance knowledge related to privacy, data use, auditability, access control, and pharma regulatory environment.
Experienced in designing enterprise-scale semantic or context layer architectures that support AI, analytics, and business teams simultaneously.
Skilled at collaborating across diverse stakeholders including data architects, product owners, compliance teams, and business users in regulated life sciences.
Strong strategic understanding of how to maintain and govern semantic and business context at scale amidst evolving commercial operations and data landscapes.