- Role: - Senior Manager, Decision Science Location: - Bengaluru OBJECTIVES / PURPOSE : We are seeking an experienced Senior Manager to join Takeda's GCC Commercial Analytics & Insights (CA&I;) organization in India as part of the Decision Science & AI Enablement COE. 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 leading a high-performing data science team This leadership role is accountable for leading decision science pod, governing delivery quality, and scaling reusable capabilities that support US and global commercial priorities. - How you will contribute :

- Manage data sourcing and provide hands-on QA and modeling input preparation.
- Lead and coach data scientists driving a culture of performance and accountability aligned with Takeda values
- Work with internal stakeholders and vendor partners
- Serve as Measurement, Optimization, and Simulation (MOS) point of contact for promotional performance, simulation, and optimization questions

ACCOUNTABILITIES : Modeling, Testing & Optimization :

- Lead the development of repeatable analytic capabilities and workflow automation
- 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.
- Lead the design and measurement planning for in-market tests and observational analyses to measure campaign impact.
- Deliver clear, defensible recommendations on promotional investment.

Talent Development and COE Excellence

- Lead, coach, and develop Senior Analysts, Analysts, and data science contributors, providing clear goals,



ongoing feedback, and career development support.
- Build advanced team capabilities in AI/ML, decision science, commercial pharma data, model governance, experimentation, storytelling, and responsible AI practices.
- Establish operating routines for intake, prioritization, code review, model review, documentation, knowledge management, and escalation across India-US ways of working.
- Support hiring, onboarding, succession planning, vendor coordination, and capability-building activities that strengthen the Decision Science & AI Enablement COE.
- 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 :

- 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.

KNOWLEDGE, SKILLS & EXPERIENCE : Education :

- Bachelor's Degree required in Computer Science, Data Science, Statistics, Engineering, Mathematics, Operations Research, Business, or a related quantitative field.
- Advanced degree (Master's, MBA, or Ph.D.) in Data Science, Analytics, Computer Science, Engineering, Business, or a related quantitative field is strongly preferred.




- Relevant certifications in analytics, cloud platforms, machine learning, AI, or project management are a plus.

Experience :

- 9+ years of progressive experience in AI/ML, data science, advanced analytics, healthcare analytics, or pharmaceutical commercial analytics, with demonstrated experience leading analytical teams or pods.
- 4+ years’ experience developing and delivering marketing mix, multitouch attribution, A/B Testing, investment optimization, what-if scenarios, and execution recommendations.
- Deep working knowledge of commercial pharma or healthcare datasets such as claims, CRM, digital engagement, EMR, specialty pharmacy, omnichannel interaction, access, or sales data.
- Demonstrated ability to manage multiple high-priority data science initiatives across brands, stakeholders, and timelines in a matrixed, cross-cultural workplace.
- Strong proficiency in modern analytics ecosystems, including Python, SQL, Databricks, Spark/PySpark, BI tools, ML frameworks, and cloud-based ML platforms.
- Experience with GCC, offshore delivery, or global shared services ways of working is preferred.

Skills & Competencies :

- Stakeholder Partnership — Builds trusted relationships with US and global CA&I;, commercial, omnichannel, DD&T;, and operations stakeholders.
- Operational Excellence — Establishes scalable intake, delivery, review, documentation, and monitoring routines across teams.
- Data Storytelling and Communication — Translates complex technical outputs into concise, decision-oriented narratives with explicit business implications.
- Talent Development — Builds team capability through coaching, performance management, knowledge sharing, and structured development p

📌 Senior Manager, Decision Science (Bengaluru)
🏢 Takeda Pharmaceutical
📍 Bengaluru