Director, Data and Analytics

Lead for Data & Analytics

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 Derived Therapies (PDT) Data Strategy, Advanced Analytics, and Insights function, ensuring 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’s capability maturity by bringing analytics to the center of 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, including descriptive/diagnostic/predictive/prescriptive analytics and decision support solutions to influence and grow business intelligence practice.
  • Utilize machine learning, AI including GenAI methodologies to uncover trends, predict outcomes, and optimize business processes.
  • Build PDT data acquisition and business intelligence strategies supporting multiple operating models, including 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 value. 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 analytics projects align with business priorities and contribute to strategic goals.
  • Collaborate with Data, Digital, and Technology (DDT), Privacy Office, and other teams to ensure adherence to established analytics solution standards, data security, and protocol aligning with the Enterprise roadmap.
  • Oversee and manage multiple parallel projects, risk identification/mitigation, prioritization, and cost control.
• Product and Analytic Method Lifecycle 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) and related governance, security, integrity, and consistency 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 is maintained to support critical business decisions.
• Innovation and Thought Leadership
  • Lead the exploration and integration of emerging technologies and methodologies in data science, including generative AI and other cutting‑edge advancements.
  • Act as a thought leader in the organization by championing data science and analytics initiatives and promoting the value of AI‑driven insights in strategic decision‑making.
  • Stay abreast of developments in AI,…