MSAT AI Lead - Data-Driven Manufacturing & AI Governance

Takeda; Hinoba-an; On-site; PHP 2,984,000 - 4,974,000; Full time

Job summary

Takeda in Bengaluru seeks an MSAT AI Lead to operationalize AI strategy across MSAT modalities. You will develop AI-enabled data products in Databricks, govern models, and drive agile AI delivery in a regulated pharma environment.

Ideal candidates have 8–10 years in pharma/biotech with MSAT/CMC exposure, strong Databricks skills, and a track record delivering AI data products within SAFe. Global collaboration and digital adoption are core expectations.

Qualifications

• Advanced degree (Master’s or higher) in STEM, Computer Science, Data Science, or related field.
• 8–10 years of experience in the pharmaceutical or biotech industry, with MSAT/CMC exposure.
• Hands-on Databricks experience and SAFe delivery in regulated environments.
• Proven track record delivering AI data products and governing AI initiatives.

Responsibilities

• Operationalize the MSAT AI strategy and translate requirements into scalable solutions.
• Develop and deploy AI-enabled data products and agentic workflows.
• Govern AI solutions with model risk, explainability, and compliance practices.
• Lead cross-functional collaboration and drive AI adoption across MSAT modalities.

Skills

Databricks

SAFe

AI product delivery

GxP compliance

Stakeholder leadership

Education

Master's degree in STEM

Job description

Takeda in Bengaluru seeks an MSAT AI Lead to operationalize AI strategy across MSAT modalities. You will develop AI-enabled data products in Databricks, govern models, and drive agile AI delivery in a regulated pharma environment.

Ideal candidates have 8–10 years in pharma/biotech with MSAT/CMC exposure, strong Databricks skills, and a track record delivering AI data products within SAFe. Global collaboration and digital adoption are core expectations.