Takeda
Pharmaceutical
Lead,DecisionScienceandAIEnablementCOE
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“Lead, Decision Science and AI Enablement COE at Takeda. Skills: AI/ML, Decision Science, Commercial Analytics, Generative AI. Lead Decision Science & AI Enablement COE. Provide centralized AI/ML capabilities”
What You'll Achieve.
Drive data-driven commercial outcomes; Achieve high-impact use cases; Measure business impact of AI-enabled decisions
Industry & Context.
Decision Science; Advanced analytics; Data-driven commercial outcomes; High-value use cases; Model-driven decisioning; Robust, explainable, compliant solutions; Performance metrics; Decisioning frameworks; Business impact measurement; Responsible AI use; Risk assessment
What They're Looking For.
Must Have
Master’s or Ph. D. in Computer Science, Data Science, Statistics, Engineering, Mathematics, or a related quantitative field, 10+ years in AI/ML, data science, 5+ years in the US Pharmaceutical industry, 5+ years leading data science/ML teams, Experience working with commercial pharma data, Python (preferred), R/SQL/Spark, Cloud-based ML platforms, MLOps practices, Model deployment, Model monitoring, Production-grade ML systems, Generative AI, LLM frameworks, Experiment design, A/B testing, Causal inference techniques, Translate business needs into AI/ML roadmap, Communicate complex concepts, Stakeholder management, Collaboration skills, Working across functions and geographies, Delivering innovative AI solutions, High standards for ethics, compliance, and quality
Nice to Have
Ph.D., AWS, Azure, GCP
What You'll Do.
Lead Decision Science & AI Enablement COE
Provide centralized AI/ML capabilities
Partner to identify use cases
Embed model-driven decisioning
Set AI/ML strategy and roadmap
Build and develop India-based pods
Define commercial AI/ML roadmap
Lead model development
Ensure models are documented
Design and evolve decisioning frameworks
Integrate models into production systems
Define and track KPIs
Lead exploration and adoption of Generative AI
Ensure adherence to responsible AI standards
Maintain external relationships
Productize analytics and insights solutions
How You'll Work.
Team & Collaboration
Partner with US and International I&A, brand, omnichannel, operations, and access teams; Partner with DD&T, omnichannel, field, and marketing operations; Collaborate Cross-Functionally; Build diverse teams
Communication Scope
Communicate complex concepts in simple, business-relevant terms
Process & Methodology
Roadmap development, Prioritization, Delivery of use cases, Lifecycle management
Full Job Description
By clicking the “Apply” button, I understand that my employment application process with Takeda will commence and that the information I provide in my application will be processed in line with Takeda’s [Privacy Notice](https://jobs.takeda.com/privacynotice) and [Terms of Use](https://www.takeda.com/terms-and-conditions/). I further attest that all information I submit in my employment application is true to the best of my knowledge. ## **Job Description** ## OBJECTIVES / PURPOSE We are seeking an innovative and experienced AI/ML leader to join Takeda's newly established GCC Commercial Analytics & Insights (CA&I) organization in India as the Decision Science and AI Enablement COE Lead. This Center of Excellence (COE) role is foundational in building and scaling Takeda's centralized decision science and AI capabilities to drive data-driven commercial outcomes across all Business Units. * Lead the Decision Science & AI Enablement Center of Excellence within Takeda’s GCC Commercial Insights & Analytics organization in India, providing centralized AI/ML capabilities for US and global commercial teams. * Partner with US and International I&A, brand, omnichannel, operations, and access teams to identify high‑value use cases and embed model‑driven decisioning into business workflows (e.g., patient identification, HCP targeting, next‑best‑action). * Set and execute the AI/ML strategy and roadmap for commercial analytics, ensuring solutions are robust, explainable, compliant, and aligned with priority brands and portfolios. * Build and develop India‑based pods of data scientists and ML engineers that operate as an embedded extension of US/Global I&A, fostering a culture of scientific rigor, innovation, and continuous learning. ## ACCOUNTABILITIES **AI/ML strategy and delivery** * Define and maintain the commercial AI/ML roadmap in partnership with US, global I&A and business stakeholders, spanning ideation, prioritization, and delivery of high‑impact use cases. * Lead develo
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