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Job Description:

ROLE MSAT AI LEAD:

LOCATION BENGALURU:

OBJECTIVE:

Operationalize the MSAT AI strategy, translating scientific and operational requirements into scaled solutions within Takeda’s EDB (enterprise data backbone)
Develop agentic AI solutions within Databricks and any other GSQ approved NorthStar platform
Manage, govern MSAT agentic AI solutions in alignment with Secure principles & agile delivery practices
Create measurable business value through process optimization, MSAT workflow automation, agentic troubleshooting, knowledge management, and accelerated decision-making in GSQ MSAT
Monitor digital adoption and foster community of practices for agentic AI in MSAT

ACCOUNTABILITIES:





Define and execute the MSAT AI roadmap aligned with business priorities of all modalities.
Develop & deploy AI-enabled data and process knowledge [DK1] products including, but not exhaustive, predictive process monitoring, CPV intelligence, yield optimization, process capability analytics, and digital copilots.
Partner with MSAT, Manufacturing, Quality, ICC, and DD&T; teams to identify high-value AI use cases.
Establish AI product lifecycle management from ideation and experimentation through deployment, validation, monitoring, and continuous improvement.
Lead AI governance including model risk management, explainability, compliance, and responsible AI practices.
Support the standardization of data models, ontologies, taxonomies required for AI scalability.
Champion digital adoption through training, coaching, and creation of AI communities of practice.
Scout and evaluate emerging AI technologies, agent platforms and orchestration

📌 MSAT AI Lead (Bengaluru)
🏢 Takeda
📍 Bengaluru