Manager, AI-Ready Data Modeling

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As a Manager AI-Ready Data Modeling you will contribute to the development of high-quality reusable and AI-ready data models that support data-driven decision-making across R&D. You will work across multiple projects and domains to design and deliver standardized interoperable data structures enabling analytics AI/ML use cases and scalable data integration. You will partner up closely with domain leads data engineers and AI teams to ensure data models are aligned to enterprise standards and support evolving R&D needs.

Data Modeling Delivery

• Design and develop conceptual logical and physical data models for R&D data assets.

• Translate business and scientific requirements into structured scalable data models.

• Support modeling delivery across Research and Clinical domains in partnership with senior domain leads.

AI-Ready Data Design

• Apply modeling practices that enable:

  • AI/ML and advanced analytics use cases.

  • Consistent data inputs and context for downstream consumption.

• Structure data to improve usability reusability and alignment with AI-enabled workflows.

• Contribute to evolving practices for AI-ready data and standardized context generation.

Reuse and Standardization

• Contribute to development of reusable schemas templates and shared data models.

• Apply enterprise standards ontologies and naming conventions in model design.

• Promote reuse of shared data assets through data hubs APIs and standardized structures.

Cross-Functional Collaboration

• Partner with:

  • Domain experts to align models with scientific and operational needs.

  • Data engineers and architects to ensure models are implementable.

  • Data scientists to support analytics and AI/ML requirements.

• Contribute to integration of data models into data pipelines and AI-enabled workflows.

Data Quality and Governance Alignment

• Incorporate data quality rules metadata and lineage into model design.

• Ensure models align with enterprise data governance standards and support trusted fit-for-purpose data.

• Bachelors or Masters degree in Computer Science Data Science Bioinformatics or related field.

• Relevant experience in data modeling data architecture or data engineering.

• Experience working with structured data in complex environments (life sciences / R&D preferred).

• Demonstrated R&D domain experience preferred.

• Conceptual logical and physical data modeling.

Core Behavioral Competencies

• Collaboration & Teamwork
  Effectively partners across technical and domain teams to deliver shared outcomes.

• Execution & Delivery Focus
  Delivers high-quality outputs consistently across multiple projects.

• Learning Agility
  Quickly builds understanding across new domains and applies consistent modeling practices.

• Problem Solving
  Translates complex requirements into structured practical data solutions.

• Communication
  Clearly articulates data concepts to both technical and non-technical stakeholders.

Key Stakeholders

• R&D Domain Leads (Research Clinical Operations).

• Data Engineering and Solution Architecture teams.

• Data Science and AI/ML teams.

• Data Governance and Ontology teams.

• Work on moderately complex data modeling challenges across projects.

• Balance local project requirements with enterprise standards and reuse.

• Apply judgment to adapt existing patterns to new use cases and domains.

Takeda Compensation and Benefits Summary

We understand compensation is an important factor as you consider the next step in your career. We are committed to equitable pay for all employees and we strive to be more transparent with our pay practices.

For Location:

U.S. Base Salary Range:

The estimated salary range reflects an anticipated range for this position. The actual base salary offered may depend on a variety of factors including the qualifications of the individual applicant for the position years of relevant experience specific and unique skills level of education attained certifications or other professional licenses held and the location in which the applicant lives and/or from which they will be performing the actual base salary offered will be in accordance with state or local minimum wage requirements for the job location.

U.S. based employees may be eligible for short-term and/ or long-term incentives. U.S. based employees may be eligible to participate in medical dental vision insurance a 401(k) plan and company match short-term and long-term disability coverage basic life insurance a tuition reimbursement program paid volunteer time off company holidays and well-being benefits among others. U.S. based employees are also eligible to receive per calendar year up to 80 hours of sick time and new hires are eligible to accrue up to 120 hours of paid vacation.

EEO Statement

Takeda is proud in its commitment to creating a diverse workforce and providing equal employment opportunities to all employees and applicants for employment without regard to race color religion sex sexual orientation gender identity gender expression parental status national origin age disability citizenship status genetic information or characteristics marital status status as a Vietnam era veteran special disabled veteran or other protected veteran in accordance with applicable federal state and local laws and any other characteristic protected by law.

Job Exempt