Senior Director, Enterprise and R&D Information Architect

BeiGene continues to grow at a rapid pace with challenging and exciting opportunities for experienced professionals. When considering candidates, we look for scientific and business professionals who are highly motivated, collaborative, and most importantly, share our passionate interest in fighting cancer.

General Description:

Are you ready to be at the forefront of transforming cancer therapies by developing a strong information foundation, strategy and architecture that delivers timely and key business and scientific insights across the value chain? At BeiGene, we apply cutting-edge science to create life-changing therapies, and we need experienced IT and Data professionals to drive this mission forward within our Global Technology Solutions team. We are investing heavily in Data and Analytics to enable BeiGene to achieve its goals.

Join BeiGene's Global Data Strategy and Solutions team to help develop and implement an enterprise information architecture and roadmap that accelerates our mission to transform cancer therapy through trusted and timely data and insights. Reporting to the VP and Global Head of Data Strategy and Solutions, this critical role will have dual accountability for establishing the Enterprise Information Architecture (IA) capability at BeiGene and leading the information architecture for the R&D Domain—our key growth engine.

Collaboration is key—partnering with business and R&D stakeholders, functional D&A teams, and IT Business partners, you will create comprehensive information architecture and roadmaps aimed at enhancing data quality, accessibility, and governance, while establishing a streamlined data supply chain that drives operational efficiencies and informed business decisions. You will also oversee the architecture for key initiatives, ensuring alignment with our overarching information architecture standards and roadmap. You will also play a key role in advancing the data culture and governance at BeiGene by promoting data architecture best practices and articulating its value to stakeholders.

The ideal candidate will possess a strategic mindset, extensive experience in information architecture and data management, and strong leadership skills to mentor teams and foster cross-functional collaboration, preferably within the life sciences sector.

Key Responsibilities:

Establish and Lead Enterprise Information Architecture Capability

• Create and introduce an enterprise information management framework and repeatable methodologies, practices and artifacts for creating comprehensive information architecture and strategy to improve data findability, information flow, data quality, and data usability.
• Develop a repository of key data domains, business information entities, and reusable data assets/products with key metadata that describe BeiGene's enterprise information landscape.
• Establish enterprise practices and standards to ensure data assets/products are FAIR (Findable, Accessible, Interoperable, and Reusable) through metadata management, data quality, and interoperability standards, driving their adoption across the organization.
• Provide consultative support to business and technology leaders, integrating information strategies with their business strategies and advising on best practices in data architecture and management.
• Promote architectural standards to ensure consistent data management practices, efficient lifecycle management, and seamless data consumption, including creating reference architectures for common data integration, data engineering and analytics patterns.
• Partner with architects, system owners, and IT Business Partners to drive the realization and adoption of information architecture patterns and standards.
• Scale the information architecture capability across key functional areas by mentoring and building a team of domain-focused information architects.

Lead R&D Domain Information Architecture and Strategy

• Leverage the Enterprise Information Management framework to establish and maintain the information architecture, landscape and roadmap for R&D Information Domains.
• Design and maintain a robust information architecture that maps the lifecycle of data creation, update, deletion, and utilization (CRUD) across R&D’s business capabilities and processes.
• Identify key business information entities (including master and reference data), data domains, and reusable data assets/products, establishing ownership and stewardship in alignment with business stakeholders.
• Define data and quality requirements to support operational, analytical, and strategic needs, ensuring compliance with regulatory and industry standards.
• Define a comprehensive roadmap to address data and data quality gaps, including meas