Head of Data Architecture and AI Solutions at Legend Biotech

Franklin Township, New Jersey, United States

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Not SpecifiedCompensation

Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Biotechnology, PharmaceuticalIndustries

Requirements

Leadership experience in architecting, integrating, and scaling data and AI capabilities in a cross-functional environment, including R&D, Clinical Operations, Medical Affairs, Commercial, and Manufacturing
Expertise in designing, building, and improving data lakehouse architecture for analytics, reporting, and AI
Knowledge of enterprise data models, semantic layers, and self-service analytics tailored for cell therapy workflows
Experience defining integration strategies across enterprise applications (clinical, ERP, CRM, manufacturing, compliance) with focus on traceability, integrity, and regulatory requirements
Proficiency in identifying, evaluating, and leading AI/ML opportunities and pilots in early development, clinical operations, supply chain, commercial analytics, and scientific knowledge management
Skills in data readiness protocols for machine learning (annotation, pipeline integration, model monitoring/feedback, secure deployment)
Background in enterprise systems integration, dataflow design, harmonization, and master data management for product, customer, clinical trial, and manufacturing data
Familiarity with metadata management, master data governance, stewardship, GxP, privacy, and commercial compliance
Ability to set standards for data quality, system validation, and audit-readiness
Strong stakeholder leadership, strategic advisory skills on data, analytics, and AI, with experience influencing cross-functional partners and championing digital-first and Gen AI innovations
Capability to recruit, onboard, and mentor teams

Responsibilities

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
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)
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
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
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 team

Skills

Data Architecture

Machine Learning

Data Lakehouse

Enterprise Data Models

Semantic Layers

Self-Service Analytics

Data Integration

Legend Biotech

Develops and commercializes cell therapies

About Legend Biotech

Legend Biotech develops and commercializes cell therapies aimed at treating serious diseases, particularly cancers like hematological malignancies and solid tumors. Their approach is technology agnostic, allowing them to explore various methods to find effective treatments. The company operates in the personalized medicine sector, focusing on discovering, developing, and bringing new therapies to market. They generate revenue through licensing and selling their therapies, including CAR-T therapies, which involve modifying a patient's cells to combat cancer. Legend Biotech emphasizes transparency with investors, regularly updating them on financial results and business developments.

Franklin Township, New JerseyHeadquarters

2014Year Founded

$146.4MTotal Funding

IPOCompany Stage

Biotechnology, HealthcareIndustries

1,001-5,000Employees

Benefits

Health Insurance

Dental Insurance

Vision Insurance

Life Insurance

Disability Insurance

Paid Sick Leave

Paid Holidays

Remote Work Options

Risks

Increased competition from Amgen's Imdelltra may impact CAR-T therapy focus.

Collaboration with Multiply Labs may face technological challenges, delaying production timelines.

Financial strain from new R&D facility could affect operational focus if advancements lag.

Differentiation

Legend Biotech focuses on novel cell therapies for oncology, including CAR-T and NK cells.

The company is technology agnostic, exploring multiple platforms for effective cancer treatments.

Legend Biotech's CARVYKTI® is the first BCMA-targeted CAR-T therapy approved for second-line use.

Upsides

Recent FDA and European approvals for CARVYKTI® expand its market reach in multiple myeloma.

New R&D facility in Philadelphia boosts innovation in next-generation cell therapies.

Alan Bash's appointment could accelerate CARVYKTI®'s growth and market penetration.

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