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Tier-1 pharma brand and metro location increase applications, but niche semantic/knowledge-graph skills limit candidate pool.
Role demands pharma commercial domain and semantic governance expertise, limiting cross-industry transferability.
Requires niche semantic, governance, AI-agent and regulated pharma experience, making filters strict.
Design, build, and govern the Commercial semantic and AI context layer to enable consistent interpretation across multiple business units and AI agents.
Develop and maintain ontological models, taxonomy frameworks, business glossaries, and metadata management practices for Commercial data.
Own semantic governance and ensure accuracy, freshness, and compliance of business context used by AI agents and data products in a regulated life sciences environment.
Work Experience Required: Not explicitly mentioned in the JD
Expertise in designing ontologies, taxonomy frameworks, and metadata management in commercial or data intelligence contexts.
Experience with semantic governance processes and AI/ML Ops collaboration.
Knowledge of compliance, privacy, and regulatory considerations in a life sciences commercial environment.
Experienced in architecting AI-ready semantic context layers that integrate business knowledge with technical data assets.
Skilled in translating complex commercial domain knowledge into structured, reusable models for AI and analytics.
Proficient in cross-functional collaboration with data architects, governance, compliance, and AI/ML teams within regulated industries.