Senior Manager, Decision Science

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Job Description

OBJECTIVES / PURPOSE

We are seeking an experienced Senior Manager to join Takedas 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:

• Lead the development and application of promotion response models for campaign assessment targeting and spend optimization capabilities and delivery of priorities
• 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.
• 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.

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:

• Bachelors Degree required in Computer Science Data Science Statistics Engineering Mathematics Operations Research Business or a related quantitative field.
• Advanced degree (Masters 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 environment.
• 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 plans.
  

TAKEDA LEADERSHIP BEHAVIORS

In alignment with Takedas Values-Based Culture this role requires demonstration of the following leadership behaviors:

• Think Strategically Demonstrate strategic enterprise thinking to find innovative ways to serve patients.
• Collaborate Cross-Functionally Build diverse teams that deliver results while fostering inclusion.
• Drive Accountability Execute with excellence and hold oneself and others accountable.
• Develop Talent Attract develop and retain top talent building capabilities for the future.

Other Benefits & Shift timings:
It is our priority to provide competitive compensation and a benefit package that bridges your personal life with your professional career.

Amongst our benefits are:

• Second Shift Timing: 2:00 PM 11:00 PM IST.
• Competitive Salary Performance Annual Bonus
• Comprehensive Healthcare Insurance Plans for self spouse and children
• Group Term Life Insurance and Group Accident Insurance programs
• Employee Assistance Program
• Broad Variety of learning platforms
• Diversity Equity and Inclusion Programs
• Reimbursements Home Internet & Mobile Phone
• Employee Referral Program
• Leaves Paternity Leave (4 Weeks) Maternity Leave (up to 26 weeks) Bereavement Leave (5 calendar days)

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