Senior Enterprise Data Architect – Life Sciences

BeiGene Ltd.; United States; Remote; USD 144,000 - 194,000; Full time

Job summary

BeOne Medicines Ltd. seeks an Associate Director, Enterprise Information Architecture to lead data strategy for Clinical Operations, Safety, Regulatory, and more. You will operationalize architecture standards, advance MDM/RDM, DQ, and governance while enabling scalable data products for analytics and decision-making.

You will collaborate with global teams, shape a data-driven culture, and drive AI/ML readiness through high-quality data assets and standardized patterns.

Qualifications

• 8+ years of experience in data architecture, data management, or analytics within life sciences/pharma.
• Experience supporting enterprise-scale data and analytics initiatives.
• Experience with Clinical Development and R&D data domains.

Responsibilities

• Support Enterprise Information Architecture Capability.
• Partner with the Senior Director to scale the Enterprise Information Architecture framework, standards, and best practices.
• Define and maintain enterprise data domains, subdomains, and canonical data models.
• Ensure alignment of R&D data initiatives with enterprise architecture and governance standards.
• Provide architectural leadership and execution support for key programs.
• Translate business requirements into scalable data products.
• Collaborate with business and IT stakeholders to design end-to-end data solutions.
• Lead enterprise Semantic Modelling and develop a framework for context engineering.

Skills

Data architecture

Databricks

Cloud platforms

MDM/RDM

Data governance

SQL

Data modeling

GxP knowledge

Stakeholder mgmt

Communication

Education

Bachelor’s or Master’s degree

Tools

Reltio

Informatica

Collibra

Job description

BeOne Medicines Ltd. seeks an Associate Director, Enterprise Information Architecture to lead data strategy for Clinical Operations, Safety, Regulatory, and more. You will operationalize architecture standards, advance MDM/RDM, DQ, and governance while enabling scalable data products for analytics and decision-making.

You will collaborate with global teams, shape a data-driven culture, and drive AI/ML readiness through high-quality data assets and standardized patterns.