AI & Data Science Foundation Lead

Takeda Pharmaceutical Co.; Cambridge (MA); On-site; USD 212,000 - 333,000; Full time

Job summary

Takeda in Cambridge, MA seeks a visionary Head of AI and Data to set the strategic direction and drive enterprise AI initiatives at scale. You will oversee the AI roadmap across business units, partner with governance teams, and ensure AI delivery aligns with Takeda’s priorities and ethics.

The role combines strategic leadership with hands‑on execution, guiding an AI Center of Excellence and collaborating with data science, engineering, and risk teams to accelerate value across the organization.

Qualifications

• 15+ years of technology strategy, data analytics, or intelligent automation experience.
• At least 3 years leading enterprise AI or digital transformation initiatives.
• Proven success building AI systems at scale in production environments.
• Strong leadership, financial management, and cross‑functional collaboration skills.

Responsibilities

• Lead enterprise AI strategy and roadmap to drive measurable impact.
• Build and lead an AI Center of Excellence to share best practices.
• Oversee AI solutions from concept to deployment with governance and risk controls.
• Collaborate with business, product, and engineering leaders to embed AI into workflows.

Skills

Strategic AI roadmap

Enterprise AI leadership

Pharma industry experience

AI governance & risk

Cross-functional collaboration

Stakeholder communication

Budget & financial management

ML/AI systems design

Education

MS/PhD in mathematics, statistics, CS, ML or similar

Tools

Informatica

Collibra

Job description

Takeda in Cambridge, MA seeks a visionary Head of AI and Data to set the strategic direction and drive enterprise AI initiatives at scale. You will oversee the AI roadmap across business units, partner with governance teams, and ensure AI delivery aligns with Takeda’s priorities and ethics.

The role combines strategic leadership with hands‑on execution, guiding an AI Center of Excellence and collaborating with data science, engineering, and risk teams to accelerate value across the organization.