Clinical Data Layer Lead, Raleigh, NC

UCB•Raleigh, NC

1d•$148,000 - $195,000•Hybrid

About The Position

The Clinical Data Layer Lead owns the vision, strategy, governance, adoption, and continued development of UCB’s Clinical Data Layer as its Functional System Owner. The role helps clinical data move securely and efficiently from source systems into trusted data products, enabling study delivery, regulatory submissions, analytics, automation, and AI-enabled workflows across the clinical development lifecycle. Based within Biometrics & Data Science, the role connects business and technical communities and works with Clinical Data Management, Clinical Operations, Medical, Safety, Regulatory Affairs, Quality, Digital Technology, enterprise architecture, and external partners. The position represents the Clinical Data Layer in governance forums, steering committees, and vendor discussions. The role is based in UCB’s Raleigh, NC office and follows the company’s hybrid-first approach, with 40% of time spent in the office unless otherwise specified or precluded by the nature of the position. The anticipated annual salary range is $148,000–$195,000; the actual offer may vary based on internal equity, geographic region, job-related knowledge, skills, and experience.

Requirements

Bachelor’s degree in data science, computer science, clinical informatics, life sciences, technology, statistics, or a related field.
At least 10 years of experience in clinical development, biometrics, clinical data management, or a related pharmaceutical research and development discipline.

Nice To Haves

Experience leading large-scale business transformation involving clinical data and digital capabilities with global, cross-functional stakeholders in regulated environments.
Understanding of clinical data standards, metadata management, data architecture, statistical analysis workflows, governance, and the clinical development lifecycle.
Familiarity with cloud data platforms, data lakes, data products, application programming interfaces, and modern integration patterns.
Ability to connect business and technical perspectives and understanding of artificial intelligence, machine learning, agents, semantic layers, and modern data ecosystems.

Responsibilities

Define and communicate the long-term vision, roadmap, investment case, and business strategy for the Clinical Data Layer.
Establish governance for data products, metadata, reference data, quality controls, access, stewardship, and measures of platform value.
Partner with architecture and technology teams to enable scalable integration, common data models, interoperability, and reusable clinical data flows.
Shape safe, high-value uses of artificial intelligence, intelligent automation, semantic models, knowledge graphs, and agent-based capabilities.
Build cross-functional alignment and increase adoption through communication, training, user engagement, prioritisation, and change management.
Ensure regulated use through Good Practice compliance, validation support, data integrity, auditability, traceability, inspection readiness, and risk management.
Represent the Clinical Data Layer in governance forums, steering committees, and vendor discussions.
Connect business and technical communities and align priorities across internal functions and external partners.