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Job Description

ROLE: MSAT AI LEAD

LOCATION : BENGALURU

OBJECTIVE:

- Operationalize the MSAT AI strategy, translating scientific and operational requirements into scaled solutions within Takeda’s EDB (enterprise data backbone)
- Develop agentic AI solutions within Databricks and any other GSQ approved NorthStar platform
- Manage, govern MSAT agentic AI solutions in alignment with SAFe principles & agile delivery practices
- Create measurable business value through process optimization, MSAT workflow automation, agentic troubleshooting, knowledge management, and accelerated decision-making in GSQ MSAT
- Monitor digital adoption and foster community of practices for agentic AI in MSAT

ACCOUNTABILITIES:

- Define and execute the MSAT AI roadmap aligned with business priorities of all modalities.
- Develop & deploy AI-enabled data and process knowledge [DK1] products including, but not exhaustive, predictive process monitoring, CPV intelligence, yield optimization, process capability analytics, and digital copilots.
- Partner with MSAT, Manufacturing, Quality, ICC, and DD&T; teams to identify high-value AI use cases.
- Establish AI product lifecycle management from ideation and experimentation through deployment, validation, monitoring, and continuous improvement.
- Lead AI governance including model risk management, explainability, compliance, and responsible AI practices.
- Support the standardization of data models, ontologies, taxonomies required for AI scalability.
- Champion digital adoption through training, coaching, and creation of AI communities of practice.
- Scout and evaluate emerging AI technologies, agent platforms and orchestration [DK2], model capabilities, digital twin integrations,



and automation patterns; build business cases and pilots that demonstrate tangible MSAT value and scalability

DIMENSIONS AND ASPECTS:

Technical/Functional (Line) Expertise:

- Strong understanding of the end-to-end product and process lifecycle, spanning development, technology transfer, commercial manufacturing, CPV, troubleshooting, and lifecycle management.
- Deep expertise in MSAT, process engineering, manufacturing sciences, process knowledge management, and how data and knowledge are generated, contextualized, transferred, and reused across modalities and sites.
- Strong understanding of AI in Databricks, generative AI, agentic workflows, prompt engineering, model evaluation, AI orchestration, retrieval-augmented generation, data integration, and workflow automation in regulated environments.
- Solid knowledge of MSAT and manufacturing digital architecture, including NorthStar, PLM, ELN, MES, Discoverant, data platforms such as Databricks, digital twin environments, and enterprise integration patterns.
- Strong familiarity with GxP expectations, data integrity, validation/qualification approaches, regulatory inspection readiness, cybersecurity, privacy, and responsible AI principles.

Leadership:

- Serve as the MSAT AI thought leader and trusted advisor.
- Influence senior stakeholders and align cross-functional teams around AI-driven transformation.
- Mentor scientists, engineers, and product owners in AI best practices and data-driven decision making.
- Promote a culture where knowledge and insights are accessible through AI-enabled tools.

Decision-making and Autonomy:

- Makes informed trade-off decisions balancing business value, scientific rigor, compliance, user experience, enterprise alignment,



technical feasibility, supportability, and lifecycle impact.
- Operates with a high degree of autonomy within established governance, escalating decisions with clear options, rationale, risks, and quantified business impact when needed.
- Resolves cross-functional barriers related to data access, architecture, regulatory expectations, AI risk, adoption, and operating model maturity.

Interaction:

- Partner with MSAT Process Knowledge & Network Lead in deployment of AI solutions [DK1]
- Build and strengthen data & process knowledge relationships across MSAT modalities and partner functions (R&D; Pharmaceutical Sciences) to align on global standards and shared data products
- Interface with DD&T; ICC, CMC and Process Science across modalities to define business requirements, data requirements, governance requirements

Innovation:

- Anticipate and respond to shifts in technology and industry trends to position Takeda at the forefront of digital and model-based manufacturing.

Complexity:

- Collaborate across multiple NorthStar tools and platforms to enable integrated data solutions
- Balance global standards with local business and operational needs
- Adapt effectively to evolving CMC data landscapes and changing business requirements

EDUCATION, BEHAVIOURAL COMPETENCIES AND SKILLS:

- Advanced degree (Master’s or higher) in STEM, Computer Science, Data Science, or a related field
- Minimum of 8 - 10 years [DK1] of experience in the pharmaceutical or biotech industry, with expertise in CMC and/or MSAT
- Strong hands-on experience with Databricks or similar
- Proven track record of delivering AI data products using the Protected (Scaled Agile Framework) methodology
- Extensive experience managing and maintaining data products within GxP regulated environments
- Demonstrated ability to deliver impactful solutions and drive collaboration within complex matrix organizations

Locations

IND - Bengaluru

Worker Type

Employee

Worker Sub-Type

Regular

Time Type

Full time

📌 MSAT AI Lead (Bengaluru)
🏢 2028 Takeda Innovations India
📍 Bengaluru