Job Description

Job Title:

R&D Data Modeler

Department:

Data Management

Education Required:

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

General Description:

The R&D Data Modeler designs, implements, and governs the data architecture / data design standards that underpins our R&D analytics and digital initiatives. Partnering closely with business, digital, and IT teams, this role will translate complex R&D data needs into robust conceptual, logical, and physical data models ensuring consistency, scalability, interoperability and reusability across our data ecosystem.

Essential Functions of the job:

Data Modeling & Architecture

o Design and maintain conceptual, logical, and physical data models aligned to R&D business needs and strategic objectives.

o Develop and govern common data models and ontologies for Research, Clinical, Regulatory, and other R&D domains.

o Collaborate with data product teams to design, prototype, and deliver reusable, scalable data products translating core models into actionable datasets.

o Validate physical schemas for performance and scalability, minimizing data latency for consumers (including self-service analytics and AI model training).

Solution Design & Integration

o Serve as the SME for data integration, mapping source-to-target flows from legacy systems through the Operational Data Repository to consumer applications.

o Define and maintain modeling standards, naming conventions, and harmonization processes to guarantee data consistency across structured and unstructured data platforms.

o Partner with R&D business, DSDI, GTS and other teams to translate requirements into end-to- end data solutions, including metadata management and lineage documentation.

Governance & Best Practices

o Embed data governance frameworks, policies, standards, and procedures, into the modeling lifecycle, ensuring FAIR data principles and compliance with GxP regulations.

o Establish best practices for model versioning, documentation, and change management in alignment with SDLC and validation processes.

o Evaluate emerging data modeling tools and technologies (e.g., cloud-native modeling, metadata repositories) and advice on selection and migration strategies.

Consulting & Enablement

o Act as the "data translator" in cross-functional working groups, facilitating workshops to uncover data requirements, perform impact analyses, and drive consensus on future-state architectures.

o Provide expert guidance and training to R&D teams on data modeling methodologies, metadata management, and information management principles.

o Support major platform implementations (e.g., data warehouse, data lake, virtualization hubs) as the principal data consultant

Computer Skills:

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

Qualifications:

Experience in business data management, information architecture, or other related field

Bachelor's degree in Computer Science, Information Systems, Data Management, or related field.

Hands-on experience in data modeling, data or information architecture within Pharma R&D.

Demonstrated ability to design scalable, complex data models from conceptualization through physical optimization, aligned to business needs.

Strong understanding of R&D data domains (Research, Clinical Operations, Safety, Regulatory) and related compliance requirements (GxP, validation).

Solid grasp of data integration patterns, ETL/ELT pipelines, and source-to-target mapping.

Experience with data governance and data management tools (Databricks, Informatica, Reltio, ERwin, and storage platforms for structured and unstructured data like Azure, AWS, Oracle both cloud and on- prem)

Familiarity with SDLC, change control, and quality/compliance processes.

Excellent analytical, communication, and stakeholder-management skills.

Strategic thinker with an eye for detail and a passion for data excellence.

Collaborative mindset, adept at influencing across matrixed organizations.

Proactive learner who stays current on data modeling trends and best practices.

Customer-focused, with a commitment to delivering high-quality, fit-for-purpose data solutions.

Job Types: Full-time, Permanent

Pay: ?814,912.86 - ?2,497,845.15 per year

Benefits:

Provident Fund
Schedule:

Day shift Morning shift
Supplemental Pay:

Performance bonus Yearly bonus
Work Location: In person