MSAT Data Products Lead

takeda · IND - Bengaluru

  • Experience5–6 yrs
  • SalaryNot disclosed
  • Work modeonsite
  • Levelsenior
  • Posted22 Sept 2026

About takeda

takeda is hiring in IND - Bengaluru in pharma biotech. This role looks for around 5+ years of experience.

Skills

  • Databricks
  • Streamlit
  • Plotly
  • data modeling
  • SAFe
  • Jira
  • Agile
  • data taxonomies
  • data historians
  • GxP

The role

A data product lead at a pharmaceutical manufacturing company translates scientific requirements into governed data products for manufacturing and quality control, using Databricks, Streamlit, and Plotly. The role manages scalable data models, scientific dashboards, and compliant product delivery through SAFe.

Full job description

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Job Description

ROLE: MSAT Data Product Lead

LOCATION: Bengaluru

OBJECTIVES/PURPOSE:

Translate MSAT business and scientific requirements into scalable data products

Develop MSAT data products using GSQ NorthStar tools & platforms

Manage, govern MSAT data products in alignment with SAFe principles and agile delivery practices

Define end-user, and data requirements to enable scale and value for MSAT.

Monitor digital adoption and foster community of practices for data products in MSAT

ACCOUNTABILITIES:

Translate scientific requirements into data product requirements for MSAT

Develop, deploy and maintain MSAT data products incl. scientific dashboards such as process capability, CPV dashboards, predictive failure rates

Manage the lifecycle of data products from requirements to continuous improvement.

Partner with DD&T, ICC and relevant MSAT teams to deliver complex data products

Orchestrate data models (taxonomy requirements) for MSAT data products.

Ensure data products are reliable, compliant, and aligned with enterprise data standards.

Use AGILE ways of working (SAFe, Jira) to deliver MSAT data products at scale

DIMENSIONS AND ASPECTS

Technical/Functional Expertise :

Extensive experience with data product development and AGILE frameworks (SAFe, Jira)

Deep Knowledge in Databricks, and web-based apps like Streamlit, Plotly, etc

Good Understanding of MSAT processes, manufacturing and QC data.

Knowledge of data modeling, taxonomies in Databricks and data historians

Strong stakeholder management and cross-functional collaboration skills.

Leadership

Champion a culture where every MSAT datapoint is accessible to anyone, anytime

Support to drive digital adoption by leading change, enabling teams through training, and inspiring the use of data products.

Mentor others on CMC data practices

Decision-making and Autonomy

Define CMC data product standards, maintenance strategies, and tool utilization within NorthStar

Lead decisions on data model enhancements and taxonomy governance

Conduct root-cause analysis and troubleshooting while effectively coordinating and delegating tasks to ICC

Interaction:

Build and strengthen data 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:

Education / Experience:

Advanced degree (Master’s or higher) in STEM, Computer Science, Data Science, or a related field

Minimum of 5 years of experience in the pharmaceutical or biotech industry, with expertise in CMC and/or MSAT

Strong hands-on experience with Databricks and web-based application development platforms such as Streamlit, Plotly, etc.

Proven track record of delivering data products using the SAFe (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