Title: Senior Manager, Data Modeling

Location: Cambridge, MA

About the role:

As a Senior Manager, Data Modeling, you will provide hands-on data modeling expertise to deliver high-quality, analysis-ready data assets in support of clinical operations and regulatory functions within R&D. You will lead defined initiatives and workstreams, ensures high-quality execution, and mentors team members while partnering closely with clinical, regulatory, and data stakeholders.

How will you contribute:

• Lead the design and implementation of data models for assigned clinical operations and regulatory initiatives.

• Develop and deliver data mapping and harmonization specifications aligned with established modeling standards.

• Act as a hands on subject matter expert, owning model design quality through implementation.

• Partner with clinical operations and regulatory stakeholders to identify and prepare priority datasets for analytics and AI use cases.

• Design and implement data curation approaches within defined scope, in collaboration with Data Organization SMEs.

• Ensure curated datasets are fit for purpose, well documented, and consumable by analytics and data science teams.

• Design and manage logical and physical data structures supporting clinical trial operations, oversight, and regulatory needs.

• Contribute to architecture decisions within assigned initiatives, ensuring alignment with established platforms and patterns.

• Support the improvement of data centric processes that enhance data quality, traceability, and inspection readiness.

• Collaborate with clinical and regulatory teams to identify data related gaps and implement practical, executable improvements.

• Apply established best practices and standards to ensure consistent delivery across initiatives.

• Design and maintain semantic data models supporting prioritized clinical and regulatory use cases.

• Document models clearly for reuse and governance adherence.

• Work with Data Governance partners to ensure data assets adhere to onboarding, quality, and stewardship expectations.

• Own the ongoing enhancement and maintenance of assigned data models.

• Contribute to improvements of shared or existing models under defined guidance.

• Serve as a technical lead and day to day mentor for data modelers within assigned initiatives.

• Collaborate closely with peers across Data Modeling, Governance, Analytics, and R&D functions to deliver integrated solutions.

• Senior Hands-on Delivery: Deep hands on contribution to data modeling and harmonization work.

• Execution Focus: Accountable for quality, timeliness, and usability of delivered models.

• Domain Knowledge: Strong understanding of clinical operations and regulatory data contexts.

• People Development: Coaches and supports team members through work based mentorship.

• Program Level Leadership: Leads delivery within defined scope.

• Advanced experience in data modeling and harmonization, particularly in clinical and regulatory domains.

• Practical knowledge of data curation and preparation for analytics and AI.

• Working understanding of governance, quality, and compliance expectations in regulated environments.

• Lead through technical credibility and example.

• Mentor junior team members and supports capability development within initiatives.

• Make sound design and implementation decisions within assigned scope.

• Escalate and align when decisions exceed role authority.

• Manage complex datasets and integrations across multiple systems.

• Balance delivery needs with quality and compliance requirements.

• Work effectively across Data Modeling, Governance, Analytics, and R&D partner teams.

• Understand downstream impacts from data source to insight generation.

What you bring to Takeda:

• Minimum: Bachelor’s degree in Computer Science, Data Science, Engineering, Information Technology, or related field. Master’s degree in Data Science, Information Management, or related field is preferred.

• 4–6 years of experience in data modeling, data architecture, and/or data management in complex environments.

• Experience supporting clinical operations and/or regulatory data preferred.

• Experience contributing to analytics  or AI ready data initiatives. Advanced data modeling and data architecture skills

• Strong data harmonization and curation experience.

• Working knowledge of modern data platforms and cloud environments.

• Strong working knowledge of clinical and regulatory domains.

• Leadership and Influence: Ability to lead initiatives and influence cross-functional teams without direct authority.

• Attention to Detail: Strong focus on accuracy and the ability to identify and resolve issues.

• Problem-Solving: Ability to identify challenges and propose innovative solutions related to optimization needs

• Collaboration and Teamwork: Ability to work effectively in a collaborative environment across multiple teams and departments.

Desired

• Life sciences or pharmaceutical domain experience.

• Familiarity with regulatory data standards and compliance requirements.