Associate Director, Decision Science Center of Excellence

Takeda•Cambridge, MA

21h•Hybrid

About The Position

Join Takeda as an Associate Director, Decision Science Center of Excellence where you lead brand-level promotional mix modeling and campaign lift assessment within the Decision Science team. This hands-on, strategic role drives innovation in response modeling, ROI/mROI estimation, scenario development, and resource optimization to inform data-driven commercial decisions. You will also translate advanced analytics into actionable insights while mentoring a high-performing data science team and serve as a key client-facing partner to business stakeholders, shaping promotional strategy and investment decisions. You will report to the Director, Predictive Analytics and Insights. This is a hybrid role based in Cambridge, MA.

Requirements

Advanced programming expertise (Python, R, SQL, SAS).
Experience with BI tools (e.g., Tableau).
Proficiency working with internal and syndicated healthcare data (e.g., IQVIA, Komodo, Symphony) and translating insights into recommendations.
Strong analytical skills with the ability to drive impactful, data-informed decisions.
Clear, concise communicator with strong presentation and storytelling abilities.
Ability to prioritize and deliver in a fast-paced, evolving environment.
Proven ability to build trust and collaborate with cross-functional Marketing and Sales stakeholders.
Ownership mindset with proactive, innovative problem-solving.
BS/BA in a quantitative field (e.g., Statistics, Data Science) with 8+ years of relevant experience.

Nice To Haves

Advanced degree (MS/MA in a related field or MBA with healthcare focus) preferred.
Consulting and pharmaceutical industry experience preferred.

Responsibilities

Lead the development and application of promotion response models for campaign assessment, targeting, and spend optimization.
Manage data sourcing and provide hands-on QA and modeling input preparation.
Work with and manage GCC analysts and vendor partners.
Provide consultative analytics support across Business Units, I&A, Marketing, Sales, and the Data COE
Serve as a DS COE MOS point of contact for promotional performance, simulation, and optimization questions from assigned BUs.
Partner with Brand, Sales, I&A, and Leadership to define key business questions.
Assist in the development of forward-looking measurement and campaign lift frameworks.
Lead the design and deployment of advanced models (GLM, Bayesian, logistic regression, ML/ensemble methods)
Lead ROI/mROI estimation, response curve development, and scenario simulation.
Apply optimization techniques to guide resource allocation decisions.
Lead the design and measurement planning for in-market tests and observational analyses to measure campaign impact.
Deliver clear, defensible recommendations on promotional investment.
Build and mentor a high-performing decision science team.
Personally pursue continuous learning, including adoption of AI and advanced modeling techniques and foster continuous learning throughout the DS organization.
Drive knowledge sharing and capability development across USBU.
Lead in the advancement of modeling methodologies, tools, and platforms to meet evolving business needs.
Lead in the integration of AI-driven solutions to enhance modeling efficiency and enable self-service analytics.
Manage external partners to ensure high-quality, timely delivery.
Oversee project timelines, budgets, and execution.