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Job Description
Role Summary
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
- 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)
- Drive, oversee and lead AI & Analytics innovative experiments and show leadership the art of the possible
- Drive scaling of analytics and data science in across functions and LOCs and brands and delivers on the objectives of GPD.
- Instruct COEs, LOCs and functions about how to best leverage AI enterprise technology and ensure delivery capability and capacity exists in the ICCs
- Act as thought leader for analytics and data science in the organization
- support organization through the interpretation of analytical outputs, collect feedback and recommend improvements
- Partner with other capabilities and services, (e.g. campaign operations, medical excellence) to drive integration of tools and assets.
- Partner closely with data management roles and ensure sustainable AI and analytics that is supported by data governance, master data management, data integration etc.
- Partner with global data & technology to evolve the technical ecosystem that supports use cases in relevant domains.
Skills & Requirements
Degree in computer science, engineering or relevant field, supported by work experience in relevant roles (min. 3 years)
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 to drive cross-functional initiatives.
More about us:
At Takeda, we are transforming patient care through the development of novel specialty pharmaceuticals and best-in-class patient support programs. Takeda is a patient-focused company that will inspire and empower you to grow through life-changing work.
Certified as a Global Top Employer, Takeda offers stimulating careers, encourages innovation, and strives for excellence in everything we do. We foster an inclusive, collaborative workplace in which our teams are united by an unwavering commitment to deliver Better Health and a Brighter Future to people around the world.
Empowering our people to shine:
Takeda is proud in its commitment to creating a diverse workforce and providing equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, gender expression, parental status, national origin, age, disability, citizenship status, genetic information or characteristics, marital status, or any other characteristic protected by law.
