Takeda

Pharmaceutical

Lead,DecisionScienceandAIEnablementCOE

Bengaluru, India FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Lead candidates.

The Brief

“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.

Pharmaceutical
Problems you'll solve

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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