Manager, Decision Science Center of Excellence
Takeda, Cambridge, MA, United States
Job Description
Join Takeda as a Manager, 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 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. Report to the Director, Predictive Analytics and Insights. This is a hybrid role based in Cambridge, MA.
How you will contribute
Assist in the development and application of promotion response models for campaign assessment, targeting, and spend optimization.
Assist in 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.
Strategic Leadership & Partnership
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.
Modeling, Testing & Optimization
Assist in 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.
Assist in the design and measurement planning for in‑market tests and observational analyses to measure campaign impact.
Deliver clear, defensible recommendations on promotional investment.
Team Leadership & Development
Assist in building and mentoring 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.
Innovation & Continuous Improvement
Assist in the advancement of modeling methodologies, tools, and platforms to meet evolving business needs.
Assist in the integration of AI‑driven solutions to enhance modeling efficiency and enable self‑service analytics.
Vendor & Project Management
Manage external partners to ensure high‑quality, timely delivery.
Oversee project timelines, budgets, and execution.
Skills
Programming expertise (Python, R, SQL, SAS).
Experience with BI tools (e.g., Tableau).
Experience working with internal and syndicated healthcare data (e.g., IQVIA, Komodo, Symphony) and translating insights into recommendations.
Demonstrated analytical skills and an ability to drive 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.
Minimum Requirements/Qualifications
BS/BA in a quantitative field (e.g., Statistics, Data Science) with 3+ years of relevant experience.
Advanced degree (MS/MA in a related field or MBA with healthcare focus) preferred.
Pharmaceutical industry experience preferred.
Travel Requirements
Occasional domestic overnight travel may be required.
Location
USA - MA - Cambridge - Kendall Square
EEO Statement
Takeda is proud in its commitment to creating a diverse workforce and providing equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, gender expression, parental status, national origin, age, disability, citizenship status, genetic information or characteristics, marital status, status as a Vietnam era veteran, special disabled veteran, or other protected veteran in accordance with applicable federal, state and local laws, and any other characteristic protected by law.
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Join Takeda as a Manager, 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 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. Report to the Director, Predictive Analytics and Insights. This is a hybrid role based in Cambridge, MA.
How you will contribute
Assist in the development and application of promotion response models for campaign assessment, targeting, and spend optimization.
Assist in 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.
Strategic Leadership & Partnership
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.
Modeling, Testing & Optimization
Assist in 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.
Assist in the design and measurement planning for in‑market tests and observational analyses to measure campaign impact.
Deliver clear, defensible recommendations on promotional investment.
Team Leadership & Development
Assist in building and mentoring 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.
Innovation & Continuous Improvement
Assist in the advancement of modeling methodologies, tools, and platforms to meet evolving business needs.
Assist in the integration of AI‑driven solutions to enhance modeling efficiency and enable self‑service analytics.
Vendor & Project Management
Manage external partners to ensure high‑quality, timely delivery.
Oversee project timelines, budgets, and execution.
Skills
Programming expertise (Python, R, SQL, SAS).
Experience with BI tools (e.g., Tableau).
Experience working with internal and syndicated healthcare data (e.g., IQVIA, Komodo, Symphony) and translating insights into recommendations.
Demonstrated analytical skills and an ability to drive 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.
Minimum Requirements/Qualifications
BS/BA in a quantitative field (e.g., Statistics, Data Science) with 3+ years of relevant experience.
Advanced degree (MS/MA in a related field or MBA with healthcare focus) preferred.
Pharmaceutical industry experience preferred.
Travel Requirements
Occasional domestic overnight travel may be required.
Location
USA - MA - Cambridge - Kendall Square
EEO Statement
Takeda is proud in its commitment to creating a diverse workforce and providing equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, gender expression, parental status, national origin, age, disability, citizenship status, genetic information or characteristics, marital status, status as a Vietnam era veteran, special disabled veteran, or other protected veteran in accordance with applicable federal, state and local laws, and any other characteristic protected by law.
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