GPD Data Science & Analytics Lead

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Job Description
NOTE: This role is location-agnostic!

Summary of the Role:

Partnering with Centers of Excellence (COEs), Functions, and Local Affiliates (LOCs) to design, scale, and operationalize prioritized Analytics and Data Science products. Lead AI and Analytics experiments, act as a thought leader, and drive the integration and adoption of analytics and data science products. Collaborate with data management and ensure sustainable AI supported by data governance and integration, while evolving the technical ecosystem in partnership with global data and technology teams.

Key Accountabilities:

1. Partner with COEs, functions & LOCs to shape delivery and design and scale/operationalize prioritized Analytics and AI products (e.g., Marketing Mix Modeling, Predictive Sales, Dossier Builder, etc.)
2. Drive, oversee, and lead AI & Analytics innovative experiments and show leadership in exploring possibilities
3. Drive scaling of analytics and data science across functions, LOCs, and brands to achieve GPD objectives
4. Instruct COEs, LOCs, and functions on leveraging AI enterprise technology and ensure delivery capability in the ICCs
5. Act as a thought leader for analytics and data science within the organization
6. Support the organization through interpretation of analytical outputs, gather feedback, and recommend improvements
7. Partner with other capabilities and services (e.g., campaign operations, medical excellence) to drive tool and asset integration
8. Collaborate with data management roles to ensure sustainable AI and analytics supported by data governance, master data management, and data integration
9. Work with global data & technology teams to evolve the technical ecosystem supporting relevant use cases

Skills & Requirements:

• Degree in computer science, engineering, or relevant field, supported by at least 3 years of work experience
• 8+ years of relevant technical experience, including systems analysis, design, and implementation
• Project management skills
• Excellent oral and written communication skills in English
• Knowledge of statistical programming languages (e.g., R, Python) and database query languages (e.g., SQL)
• Deep knowledge of pharmaceutical regulatory requirements and compliance
• Strong proficiency in data-driven decision-making and analytics platforms
• Deep understanding of Data, Analytics, and AI applications within the healthcare industry
• Strong communication and collaboration skills for cross-functional initiatives

More about us:

At Takeda, we are transforming patient care through the development of novel specialty pharmaceuticals and patient support programs. We are a patient-focused company that encourages growth through innovative, life-changing work.

Certified as a Global Top Employer, Takeda offers stimulating careers, fosters innovation, and strives for excellence. We promote an inclusive, collaborative workplace committed to delivering Better Health and a Brighter Future worldwide.

Empowering our people to shine:

Takeda is committed to creating a diverse workforce and providing equal employment opportunities without regard to race, color, religion, sex, sexual orientation, gender identity, gender expression, parental status, national origin, age, disability, citizenship, genetic information, marital status, or any other protected characteristic.

Locations: Zurich, Switzerland; Singapore - Emerging Markets; USA - MA - Cambridge
Worker Type: Employee
Worker Sub-Type: Regular
Time Type: Full time