Director, Data and Analytics

By clicking the “Apply” button, I understand that my employment application process with Takeda will commence and that the information I provide in my application will be processed in line with Takeda’s Privacy Notice and Terms of Use. I further attest that all information I submit in my employment application is true to the best of my knowledge.

Job

Position Title:

Lead for Data & Analytics

About the role: The Director Digital Insights and Analytics is responsible for leading a team that performs complex data research and analysis to support business operations. This role involves creating data mining architectures, statistical reporting, and data analysis methodologies to identify trends in large data sets. By applying knowledge of existing and emerging data science principles, this role informs business decisions and contributes to Takeda's mission.

• Lead Plasma Dervied Therapies (PDT) Data Strategy, Advanced Analytics, and Insights function, ensuring that the application of advanced analytics, AI/ML including generative AI (GenAI, Agentic AI) drives business value through impactful insights and data-driven solutions.
• Oversee the complete lifecycle management of advanced analytics products, from ideation and development through to deployment and performance optimization advancing the organization capbility maturity by bringing analytics to the center of the business operations
• Develop and execute strategies for transforming large volumes of data into actionable insights using cutting-edge AI techniques and quantitative methods to solve complex business problems.
• Guide teams to shape business strategy through innovative descriptive, predictive, prescriptive analytics and decision making solutions while ensuring cohesive, actionable insights that align with broader organizational objectives.

• Insight Generation and Analytics
  • Lead the PDT Data and Analytics team centered on providing actionable insight and aiding PDT SBU in business decision‑making.
• Own all aspects of delivering analytics solutions for the business. This includes but not limited to descriptive/diagnostic/predictive/prescriptive analytics, and decision support solutions in order to influence and grow business intelligence practice.
• Utilize machine learning, AI including GenAI to uncover trends, predict outcomes, and optimize business processes.
• Build PDT data acquisition and business intelligence strategies supporting multiple operating models include self‑service and full‑service analytics.
• Data Strategy and Stakeholder Collaboration
  • Obsess over our challenges and draw on creative thinking skills and collaborative nature to develop tangible data solutions with measurable business values. Regularly update the data strategy based on external insights, ensuring the organization remains competitive and innovative.
• Build strong relationships with key stakeholders across business units, ensuring that analytics projects align with business priorities and contribute to strategic goals.
  • Collaborate with Data, Digital, and Technology (DDT), Privacy Office, and other related teams to ensure adherence to established analytics solution standards, data security, and protocol aligned with the Enterprise roadmap.
  • Oversee and manage multiple parallel projects, risk identifications/mitigations, prioritization, and cost control.
• Product and Analytic Method Life Cycle Management
  • Oversee the end‑to‑end lifecycle of analytics products, ensuring they are developed, deployed, and optimized for ongoing business use.
  • Manage systems integration, Data Pipelines, and Data Ops specific to business requirements (real‑time and batch, push & pull) & related governance, security, integrity & consistency in order to support both Operational and Analytic use cases.
  • Coordinate with team members in Analytics, Data Science, and Technology to identify best practices and procedures for data usage and data democratization.
  • Continuously monitor the performance and effectiveness of data science products and analytics models, implementing improvements as needed.
  • Ensure that the quality of data, reports, analytics and dashboards are…