Manager, AI-Ready Data Modeling

USA - 3316 Takeda Development Center Americas, Inc.; Cambridge (MA); Hybrid; USD 116,000 - 182,000; Full time

Job summary

Takeda Cambridge, MA — hybrid role focused on leading AI-ready data modeling for R&D data assets. You will design conceptual, logical, and physical models, translating scientific requirements into scalable structures while aligning with enterprise standards and governance.

Collaborate with data engineers, domain leads, and AI teams to enable AI/ML use cases, data pipelines, and standardized data hubs. A degree in a relevant field and experience in data modeling are required.

Qualifications

• Bachelor’s or Master’s 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.
• Data modeling tools and techniques.
• Data platforms (e.g., data lakes, warehouses, APIs).
• Shared data assets and schema design.
• AI/ML or advanced analytics use cases (preferred).
• Ontologies or semantic modeling (nice to have).

Responsibilities

• 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.
• 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.
• 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.
• 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.
• 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.

Skills

Data modeling

Data architecture

Data engineering

AI/ML use cases

Communication

Collaboration

Problem solving

Learning agility

Execution & delivery

Stakeholder management

Education

Bachelor’s or Master’s degree in Computer Science, Data Science, Bioinformatics, or related field

Tools

Data lakes

Data warehouses

APIs

Job description

Job Title: Manager, AI-Ready Data Modeling (RDGM DDT)

Location: Cambridge, MA (Hybrid)

About the role

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.

How will you contribute:

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.

What you bring to Takeda:

• Bachelor’s or Master’s 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.
• Data modeling tools and techniques.
• Data platforms (e.g., data lakes, warehouses, APIs).
• Shared data assets and schema design.
• AI/ML or advanced analytics use cases (preferred).
• Ontologies or semantic modeling (nice to have).
• 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 scope

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: Boston, MA U.S.

Base Salary Range: $116,000.00 - $182,270.00

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 job.

The actual base salary offered will be in accordance with state or local minimum wage requirements for the job location.

For information about our benefits, please click here.

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.

Locations Boston, MA

Worker Type Employee Worker Sub-Type Regular Time Type Full time Job Exempt Yes

It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

About Takeda

Takeda is an industry-leading, global pharmaceutical company with an unwavering dedication to putting patients at the center of everything we do. We live our values of Takeda-ism – Integrity, Fairness, Honesty, and Perseverance – and are united by our mission to strive towards Better Health and a Brighter Future for people worldwide through leading innovation in medicine. Here, everyone matters and you will be a vital contributor to our inspiring, bold mission. At Takeda, you will make an impact on people’s lives – including your own. Takeda is an equal opportunity employer.

For applicants of U.S and Puerto Rico positions: Click here to learn about our commitment to Equal Employment Opportunity (EEO).

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