Director, Predictive Analytics and AI

Job Description

Join Takeda as a Director, Predictive Analytics and AI out of our Cambridge, MA office. We are seeking a visionary Director to lead our Data Science team, transforming pharmaceutical commercialization with advanced data science and AI. In this strategic, hands‑on role you will drive innovation in predictive modeling, machine learning, agentic AI, and generative AI technologies to enhance patient identification, HCP targeting, and omnichannel engagement.

You will empower a top‑tier data science team through mentorship and development, accelerating cutting‑edge AI/ML solution delivery.

This position requires strong technical expertise, business acumen, and creative strategy to translate sophisticated analytics into actionable business solutions, delivering commercial excellence in trialist identification, patient segmentation, next‑best‑action (NBA), target prioritization, and execution of AI/ML strategies to enable scalable personalization across HCP and patient stakeholders.

The leader brings a consultative approach to partnering with stakeholders to identify new business opportunities, develop advanced analytic insights informing strategies, and drive AI/ML & data‑driven decision‑making for business growth. You will collaborate with internal and external stakeholders to ensure models can be deployed in compliant, production‑ready environments with clear plans to measure effectiveness.

• Advance Data Science and AI capabilities driving the utilization of predictive models in patient finding, HCP targeting and prioritization, next‑best‑action engines, predictive secondary data‑driven patient and customer segmentations.
• Advance Predictive Analytics for US GI, NS, PDT, and Rare Disease franchises, including new product launches or indications.
• Partner with BUs, BU Analytics & Insights, Marketing and Sales Ops, Data CoE’s to define use cases and integrate predictive model‑driven decisioning into business decisions.
• Strategic Leadership:
  Develop and execute a future‑oriented data science strategy for commercialization, focusing on leveraging predictive and machine learning models to solve complex business challenges.
• Predictive Modeling & AI Innovation:
  Design and deploy predictive models—including logistic regression, ensemble methods, and other machine learning algorithms—for key applications such as trialist identification, patient segmentation, NBA, and HCP target prioritization. Lead the development of AI/ML algorithms to predict patient events and identify undiagnosed/misdiagnosed patients for targeted HCP engagements. Create scalable, reusable frameworks for AI and machine learning experimentation and deployment across multiple therapeutic areas.
• Cross‑Functional Partnership:
  Collaborate as a key thought partner with cross‑functional teams—Business Units, Brand Insights & Analytics, Marketing & Sales Operations, Patient Services, and Medical Affairs—to drive business impact. Develop creative strategies to ensemble multiple third‑party patient data sets, enhancing precision in patient identification and predictive segmentations.
• Mentor and develop talent:
  Cultivate a high‑performing team of data scientists by promoting continuous learning and encouraging the adoption of emerging AI techniques. Promote ongoing AI skill development through hands‑on training, external partnerships, and internal knowledge sharing.
• GenAI and Agentic AI Initiatives:
  Establish and lead GenAI and Agentic AI initiatives strategically aligned with CA&I goals. Drive adoption and integration of advanced AI technologies to enhance analytics capabilities, automate insights generation, and support innovative commercial strategies.
• Innovation & Continuous Improvement:
  Continually evolve analytical methods, platforms, standards, and toolsets to meet current and future business needs. Lead Data Science team efforts in developing advanced analytic and AI models to provide continuous insights into execution optimization and industry developments.
• Strategic Consultation & Stakeholder Engagement:
  Act as a trusted thought partner to franchise Analytics & Insights, forecasting, and Patient Diagnosis…