AI Methods & Enterprise Deployment Leader

Takeda; Boston (MA); On-site; USD 210,000 - 280,000; Full time

Job summary

Takeda is seeking a senior leader to head Methods & AI Integration within R&D Data and Quantitative Sciences. The role drives methodological innovation, AI/ML deployment, and enterprise-scale capabilities across therapeutic areas.

The incumbent will own end-to-end lifecycle from innovation to deployment, ensuring regulator-ready, auditable methods integrated into clinical development workflows and decision-making processes.

Qualifications

• Experience leading AI/ML strategy and governance within pharma/biotech R&D.
• Ability to translate fragmented AI advances into regulator-ready, enterprise capabilities.
• Proven track record of scaling innovations from pilots to enterprise deployment.

Responsibilities

• Define, integrate, and scale AI/ML methodologies into decision-grade capabilities across R&D.
• Own end-to-end lifecycle from innovation to enterprise adoption of AI-enabled tools.
• Bridge between innovation and execution to deliver a scalable quantitative backbone for R&D decisions.
• Engage regulators, academia, and external stakeholders to position DQS as a leader in AI-enabled development.
• Embed governance for model qualification, documentation, and auditability across programs.
• Establish standards for validation, qualification, and deployment readiness in GxP environments.

Skills

Leadership

AI/ML Strategy

R&D Data

Regulatory Readiness

Tools

GenAI

GxP software

Job description

Takeda is seeking a senior leader to head Methods & AI Integration within R&D Data and Quantitative Sciences. The role drives methodological innovation, AI/ML deployment, and enterprise-scale capabilities across therapeutic areas.

The incumbent will own end-to-end lifecycle from innovation to deployment, ensuring regulator-ready, auditable methods integrated into clinical development workflows and decision-making processes.