Manager, AI-Ready Data Modeling
Takeda
August 21, 2026
Remote friendly (Boston, MA)
United States
$116,000 - $182,270 USD yearly
IT
Job Title: Manager, AI-Ready Data Modeling (RDGM DDT)
Location: Cambridge, MA (Hybrid)
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.
- Apply modeling practices enabling AI/ML and advanced analytics use cases and consistent downstream data inputs/context.
- Structure data to improve usability, reusability, and alignment with AI-enabled workflows.
- Develop reusable schemas, templates, and shared data models; apply enterprise standards, ontologies, and naming conventions.
- Promote reuse through data hubs, APIs, and standardized structures.
- Collaborate with domain experts, data engineers/architects, and data scientists to ensure implementable models and integrate them into pipelines/AI workflows.
- Incorporate data quality rules, metadata, and lineage; align with enterprise data governance standards.
Qualifications / Skills
- Bachelor’s or Master’s in Computer Science, Data Science, Bioinformatics, or related field.
- Relevant experience in data modeling, data architecture, or data engineering.
- Experience with structured data in complex life sciences/R&D environments (preferred).
- Demonstrated R&D domain experience (preferred).
- Conceptual, logical, and physical data modeling; data modeling tools/techniques.
- Data platforms (data lakes, warehouses, APIs), shared data assets, schema design.
- AI/ML or advanced analytics use cases (preferred); ontologies/semantic modeling (nice to have).
Benefits (as stated)
- U.S. base salary range: $116,000–$182,270.
- Eligibility may include medical/dental/vision, 401(k) match, disability, life insurance, tuition reimbursement, paid vacation/sick time, holidays, and well-being benefits.
Location: Cambridge, MA (Hybrid)
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.
- Apply modeling practices enabling AI/ML and advanced analytics use cases and consistent downstream data inputs/context.
- Structure data to improve usability, reusability, and alignment with AI-enabled workflows.
- Develop reusable schemas, templates, and shared data models; apply enterprise standards, ontologies, and naming conventions.
- Promote reuse through data hubs, APIs, and standardized structures.
- Collaborate with domain experts, data engineers/architects, and data scientists to ensure implementable models and integrate them into pipelines/AI workflows.
- Incorporate data quality rules, metadata, and lineage; align with enterprise data governance standards.
Qualifications / Skills
- Bachelor’s or Master’s in Computer Science, Data Science, Bioinformatics, or related field.
- Relevant experience in data modeling, data architecture, or data engineering.
- Experience with structured data in complex life sciences/R&D environments (preferred).
- Demonstrated R&D domain experience (preferred).
- Conceptual, logical, and physical data modeling; data modeling tools/techniques.
- Data platforms (data lakes, warehouses, APIs), shared data assets, schema design.
- AI/ML or advanced analytics use cases (preferred); ontologies/semantic modeling (nice to have).
Benefits (as stated)
- U.S. base salary range: $116,000–$182,270.
- Eligibility may include medical/dental/vision, 401(k) match, disability, life insurance, tuition reimbursement, paid vacation/sick time, holidays, and well-being benefits.