Associate Director, Predictive Analytics

About the role

We are seeking a hands-on innovative seasoned Data Science professional for the Associate Director, Predictive Analytics position out of our Cambridge, MA office to lead advanced analytics for Takeda’s US GI Franchise.

Responsibilities

• Drive innovation in predictive modeling, machine learning models, and AI technologies to enhance patient identification, HCP targeting, and omnichannel engagement.
• Translate sophisticated analytics into actionable business solutions, delivering commercial excellence in areas such as trialist identification, patient segmentation, next-best-action (NBA), target prioritization, dynamic targeting, and execution of AI/ML strategies to enable scalable personalization across HCP and patient stakeholders.
• Bring 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.
• Collaborate with internal and external stakeholders to ensure models can be deployed in compliant, production-ready environments with clear plans to measure effectiveness.

Requirements

• BS/BA in a quantitative field (e.g., Statistics, Data Science) with 8+ years of relevant experience in pharmaceutical industry.
• Advanced degree (MS/MA in a related field) preferred.
• 5+ years of hands-on experience in AI/ML modeling, with at least 3 years in pharmaceutical commercial analytics.
• Strong technical expertise in machine learning, NLP, recommendation systems, and personalization use cases.
• Proficient in Data Science tools and languages such as Python, R, SQL, Databricks, and is familiar with cloud platforms (AWS, Azure, GCP).
• Experience with pharma data (e.g., IQVIA, Veeva, SP, claims, digital marketing) and strong understanding of compliance and privacy considerations.
• Expert in delivering persuasive presentations, conveying complex advanced Data Science driven insights to non-technical audience, and mentoring others in presentation skills.
• Excellent communication and collaboration skills, with the ability to work effectively in cross-functional teams.
• Strong project management skills, with the ability to manage multiple projects simultaneously.
• Demonstrated leadership in a matrix organization, able to motivate and inspire team members to high performance levels.
• Flexibility to adapt to changing business needs and evolving technology landscapes.

Qualifications

• BS/BA in a quantitative field (e.g., Statistics, Data Science) with 8+ years of relevant experience in pharmaceutical industry.
• Advanced degree (MS/MA in a related field) preferred.
• 5+ years of hands-on experience in AI/ML modeling, with at least 3 years in pharmaceutical commercial analytics.
• Strong technical expertise in machine learning, NLP, recommendation systems, and personalization use cases.
• Proficient in Data Science tools and languages such as Python, R, SQL, Databricks, and is familiar with cloud platforms (AWS, Azure, GCP).
• Experience with pharma data (e.g., IQVIA, Veeva, SP, claims, digital marketing) and strong understanding of compliance and privacy considerations.
• Expert in delivering persuasive presentations, conveying complex advanced Data Science driven insights to non-technical audience, and mentoring others in presentation skills.
• Excellent communication and collaboration skills, with the ability to work effectively in cross-functional teams.
• Strong project management skills, with the ability to manage multiple projects simultaneously.
• Demonstrated leadership in a matrix organization, able to motivate and inspire team members to high performance levels.
• Flexibility to adapt to changing business needs and evolving technology landscapes.

Skills

• Advanced Data Science capabilities driving the utilization of predictive models in areas including Patient finding, HCP Targeting and Prioritization, Next Best Action Engines, predictive secondary data driven Patient and predictive Customer Segmentations.
• Advanced Predictive Analytics for US. GI Franchise including new product launches or indications.
• Partner with BUs, BU Analytics & Insights, Marketing and Sales Ops, Data CoEs etc. to define use cases and integrate predictive model-driven decisioning into business decisions.
• Collaborate as a key thought partner with cross-functional teams—including 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 coverage and precision in patient identification and predictive segmentations.
• Team Leadership and Development: Mentor a high-performing team of data scientists by personally pursuing and promoting continuous learning and encouraging the adoption of emerging AI techniques, ensuring a culture of innovation and excellence.
• Promote ongoing AI skill development through hands-on training, external partnerships, and internal knowledge sharing.
• Innovation & Continuous Improvement: Continually evolve analytical methods, platforms, standards, and toolsets to meet current and future business needs.
• Strategic Consultation & Stakeholder Engagement: Act as a trusted thought partner to franchise Analytics & Insights, forecasting, and Patient Diagnosis Heads—leading data science driven discussions and translating business needs into appropriate predictive modeling strategies.
• GenAI and Agentic AI Initiatives: Drive the adoption and integration of advanced AI technologies to enhance analytics capabilities, automate insights generation, and support innovative commercial strategies.
• Vendor & Project Management: Manage relationships with trusted vendor partners for outsourced project work and ensure high-quality, timely deliverables. Oversee project timelines and budgets, utilizing project management tools for tracking progress.

Benefits

U.S. based employees may be eligible for short-term and/ or long-term incentives. U.S. based employees may be eligible to participate in medical, dental, vision insurance, a 401(k) plan and company match, short-term and long-term disability coverage, basic life insurance, a tuition reimbursement program, paid volunteer time off, company holidays, and well-being benefits, among others.

Pay

$154,400.00 - $242,550.00

Schedule

Hybrid