Senior Manager, R&D Data Modeler

The Senior Manager R&D Data Modeler is responsible for designing, governing, and evolving enterprise data models that enable scalable analytics, AI, and regulatory-compliant data products across the R&D organization. This role combines hands-on data modeling expertise with cross-functional leadership, ensuring that conceptual, logical, and physical data models are accurate, extensible, and aligned with business and technology strategy. The Senior Manager R&D Data Modeler serves as a subject-matter expert across Research, Clinical, Safety, Regulatory, and related domains, partnering closely with data engineering, analytics, and governance teams to translate complex requirements into high-quality, production-ready and AI-ready data products. Essential Functions of the job: Strategic Data Architecture Define the enterprise modeling roadmap-aligning data architecture with long-term R&D objectives. Lead the design of advanced conceptual and logical frameworks that span Research, Clinical, Safety, Regulatory, and beyond. Advocate for modular, micro-service-friendly physical models to accelerate self-service analytics and AI. Ensure data models support downstream analytics, reporting, machine learning, and operational use cases. Governance & Tooling Define and enforce enterprise modeling standards, naming conventions, and design guidelines. Develop and oversee governance frameworks that institutionalize regulatory compliance, traceability, and auditability (GxP, FAIR principles and regulatory compliance at scale). Contribute to metadata, lineage, and data catalog initiatives by ensuring models are well-documented and discoverable. Evaluate emerging modeling paradigms (graph, knowledge-graph, metadata-driven) and pilot proof-of-concepts. Usage of and driving enterprise adoption of metadata repositories, lineage platforms, and model-driven development, leveraging AI models and tools. Cross-Functional Leadership Chair architecture councils and data governance boards to harmonize modeling standards across functions and to ensure consistency across domains and platforms. Collaborate with GTS/IT, and business sponsors to align priorities and deliverables related to modeling initiatives and data-product innovation. Thought Leadership & Mentorship Publish best-practice frameworks, reference architectures, and reusable design patterns to accelerate delivery. Mentor lead modelers and senior analysts-cultivating a center of excellence for data modeling and information management. Represent R&D data architecture at industry forums and conferences. Supervisory Responsibilities: No Computer Skills: Microsoft Applications (Outlook, Word, Excel, PowerPoint, Project) Qualifications: Master's or Ph.D. in Data Science, Computer Science, or related discipline. 8+ years of strategic data modeling/architecture experience in regulated environments, deep Pharma R&D expertise strongly preferred. Proven ability to define and drive enterprise-scale modeling standards and tool migrations. Expert knowledge of modern data platforms (cloud-native, hybrid, graph databases) and advanced integration patterns. Exceptional leadership, influencing, and cross-stakeholder collaboration skills. Travel: Minimal BeiGene Global Competencies When we exhibit our values of Patients First, Collaborative Spirit, Bold Ingenuity and Driving Excellence, through our twelve global competencies below, we help get more affordable medicines to more patients around the world. Fosters Teamwork Provides and Solicits Honest and Actionable Feedback Self-Awareness Acts Inclusively Demonstrates Initiative Entrepreneurial Mindset Continuous Learning Embraces Change Results-Oriented Analytical Thinking/Data Analysis Financial Excellence Communicates with Clarity 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.

Created: 2026-03-04