Head of Data Architecture and AI Solutions

Legend Biotech is a global biotechnology company dedicated to treating, and one day curing, life-threatening diseases. Headquartered in Somerset, New Jersey, we are developing advanced cell therapies across a diverse array of technology platforms, including autologous and allogenic chimeric antigen receptor T-cell, T-cell receptor (TCR-T), and natural killer (NK) cell-based immunotherapy. From our three R&D sites around the world, we apply these innovative technologies to pursue the discovery of safe, efficacious and cutting-edge therapeutics for patients worldwide.  

Legend Biotech entered into a global collaboration agreement with Janssen, one of the pharmaceutical companies of Johnson & Johnson, to jointly develop and commercialize ciltacabtagene autolecuel (cilta-cel). Our strategic partnership is designed to combine the strengths and expertise of both companies to advance the promise of an immunotherapy in the treatment of multiple myeloma.

Legend Biotech is seeking Head of Data Architecture and AI Solutions as part of the IT team based in Somerset, NJ. 

Role Overview

The Head of Data Architecture & AI Solutions is a leadership position responsible for architecting, integrating, and scaling data and AI capabilities supporting our mission to advance cell and gene therapies. This highly visible role spans cross-functional teams—including R&D, Clinical Operations, Medical Affairs, Commercial, and Manufacturing—with a sharp focus on harmonizing enterprise data architecture and accelerating the application of AI/ML for real-world impact.

Key Responsibilities  

• Enterprise Data Architecture & Platform Enablement
  
  • Design, build, and continuously improve Legend Biotech’s data lakehouse architecture to unlock analytics, reporting, and AI for enterprise users.
    
  • Develop enterprise data models and semantic layers tailored for cell therapy workflows, enabling scalable self-service analytics and operational insights.
    
  • Define integration strategy across enterprise applications (clinical, ERP, CRM, manufacturing, compliance) balancing traceability, integrity, and regulatory requirements.
    
• Applied AI/ML Solution Design
  
  • Identify and evaluate high-value opportunities for AI/ML in early development, clinical operations, supply chain, commercial analytics, and scientific knowledge management.
    
  • Lead solution design for practical AI/ML pilots—coordinating in-house or external partners, ensuring alignment with Legend Biotech’s digital and enterprise standards.
    
  • Establish data readiness protocols for machine learning (annotation, pipeline integration, model monitoring/feedback, and secure deployment).
    
• Enterprise Systems Integration & Scale-Up
  
  • Own enterprise systems integration, dataflow design, and harmonization.
    
  • Implement master data management solutions supporting unified product, customer, clinical trial, and manufacturing data domains.
    
  • Collaborate with platform engineering, infrastructure, and partner teams to maximize interoperability and leverage best-in-class/reusable assets.
    
• Governance, Quality, & Compliance
  
  • Lead metadata management, master data governance, and stewardship processes—ensuring alignment with GxP, privacy, and commercial compliance requirements.
    
  • Set and monitor high standards for data quality, system validation, and audit-readiness in collaboration with business and technical stakeholders.
    
  • Champion cross-functional data governance (ownership, access, lineage) in a highly regulated, complex data ecosystem. 
• Stakeholder Leadership & Team Growth
  
  • Serve as strategic advisor on data, analytics, and AI readiness—supporting business, R&D, and executive teams with actionable architectural guidance.
    
  • Influence and align cross-functional partners toward shared goals and enterprise data priorities; champion ‘digital-first’ and Gen AI-enabled innovations.
    
  • Establish and maintain strong relationships with Legend Biotech stakeholders
    
  • Recruit, onboard, and mentor a small, high-impact team as Legend Biotech scales

Requirements

• BS Degree
• Minimum 10+ years in data architecture, analytics platform design, or commercial dat