Manager, R&D Data Modeler

General Description:

The Manager R&D Data Modeler architects and drives the implementation of robust data design standards across our R&D analytics and digital initiatives. This role will own end-to-end model delivery, mentor junior colleagues, and ensure that our data ecosystem is scalable, interoperable, and aligned with strategic objectives.

Essential Functions of the job:

• Data Modeling & Architecture

• Design and maintain complex conceptual, logical, and physical models for key R&D domains.

• Govern the evolution of common data models and ontologies—ensuring reusability for data products and APIs.

Optimize schemas for performance, minimizing latency for analytics and AI workloads.

• Solution Design & Integration

• Lead source-to-target mapping for critical integrations into the Operational Data Repository.

• Establish and enforce naming conventions, harmonization processes, and metadata standards.

• Partner with R&D Digital, DSDI, and business stakeholders to translate requirements into production-ready solutions.

• Governance & Best Practices

• Embed FAIR and GxP-compliant governance into every modeling project.

• Define model versioning, documentation templates, and change-management workflows.

• Evaluate and recommend new modeling tools or platforms; oversee migrations.

• Consulting & Enablement

• Facilitate design workshops and lead impact analyses for future-state architectures.

• Mentor junior modelers, deliver training on methodologies, and champion best practices across teams.

• Act as the primary data consultant for mid- to large-scale platform implementations (data warehouse, cloud data lake).

Supervisory Responsibilities:

No

Computer Skills:

• Microsoft Applications (Outlook, Word, Excel, PowerPoint, Project)

Qualifications:

• Bachelor's or master's degree in computer science, Data Science, or related field.

• 6+ years of full-lifecycle data modeling or architecture experience—preferably within Pharma R&D.

• Hands-on expertise with modeling tools and cloud/on-prem environments.

• Proven track record designing performant, normalized schemas and supporting analytics/AI use cases.

Strong leadership, mentoring, and stakeholder-management abilities.

Travel:

Minimal

Education Required:

Bachelor’s degree or equivalent in a health-related field

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status.