Manager, AI-Ready Data Modeling
- Location
- Boston, MA
- Listed
- 3 days ago
About the role
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 and Terms of Use. I further attest that all information I submit in my employment application is true to the best of my knowledge.
About the role
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 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.
Equal opportunity and legal notices
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.
From Takeda's careers page, first listed on Rolev.ai on November 6, 2026. Rolev.ai is not the employer.
How Rolev.ai helps with this application
Rolev.ai is a job search and application tool for US job seekers. For this Manager, AI-Ready Data Modeling role at Takeda, it shows how your resume fits, tailors your resume to the posting, and prepares the application for you to review.
See how you fit
Openings from employer career sites are ranked against your whole resume—and searchable inside Claude, ChatGPT, and Cursor via Rolev.ai MCP.
Tailor without inventing
Every change to your resume is checked against your original. New experience goes in only with your yes—zero fabricated claims.
Draft the full kit
Tailored and Full Match resumes, role-specific cover letters, and answers to employer screening questions are prepared in seconds.
1-Click Extension Autofill
The Chrome extension fills the employer's Greenhouse, Workday, Lever, or Ashby form in 1 click. You review it and press Submit.
Common questions
Where is the Manager, AI-Ready Data Modeling job at Takeda located?
This Manager, AI-Ready Data Modeling position at Takeda is located in Boston, MA. Always check Takeda's application page for specific state eligibility or relocation policies.
How do I apply for the Manager, AI-Ready Data Modeling position at Takeda?
This listing links directly to Takeda's Workday application page. You can apply directly on Takeda's site, or use Rolev.ai to check your resume fit, generate a zero-hallucination tailored resume and cover letter for this posting, and autofill the Workday application form in 1 click with the Rolev.ai Chrome extension. You always review the form and press Submit yourself.