Head Clinical Development AI & Technology

Band

Level 8

 

Job Description Summary

Head Clinical Development AI & Technology

Primary Location: London, United Kingdom
Other Locations: Dublin, Ireland; Basel, Switzerland; United States
Relocation Support: Yes

Lead the design and execution of a scalable, enterprise-aligned technology, data, and artificial intelligence strategy for Clinical Development. As Head Clinical Development AI &Tech you will architect and operationalize advanced digital platforms, analytics ecosystems, and artificial intelligence and generative artificial intelligence capabilities to optimize end-to-end clinical development execution from study design through submission. Working at the intersection of clinical science, data engineering, and platform technologies, you will drive integration of structured and unstructured data assets, industrialize artificial intelligence use cases tied to key scientific questions, and ensure compliant, high-performance systems that accelerate evidence generation, optimize delivery, and enable real-time, data-driven decision-making at global scale.

 

Job Description

Key Responsibilities

• Define and execute end-to-end technology, data, and artificial intelligence strategy for Clinical Development
• Act as strategic advisor to senior leadership on digital transformation, automation, and data modernization
• Deep ecosystem engagement to proactively identify emerging trends and translate them into iterative, impact-driven plans that accelerate Clinical Development
• Lead delivery of scalable platforms and artificial intelligence solutions across all clinical development capability areas
• Oversee product roadmaps, lifecycle governance, vendor partnerships, and platform performance
• Drive identification, prioritization, and industrialization of artificial intelligence and generative artificial intelligence use cases with measurable impact
• Integrate analytics, automation, and diverse data assets to enable seamless end-to-end clinical workflows
• Ensure compliance with good clinical practice, data privacy, cybersecurity, and regulatory standards globally
• Establish robust governance frameworks, operating models, and cross-functional collaboration structures
• Lead global, matrixed teams across technology, data science, engineering, and platform leadership
• Drive continuous improvement in delivery quality, release management, and operational resilience

Essential Requirements

• Advanced degree in Technology, Data Science, Engineering, or Life Sciences or equivalent experience
• Minimum 10 years of leadership experience within global, matrixed environments in regulated industries such as pharmaceuticals or healthcare
• Deep expertise in clinical development processes and supporting technology platforms across the full development lifecycle
• Proven experience designing and scaling artificial intelligence and machine learning solutions in regulated environments
• Strong knowledge of data architecture, cloud technologies, and enterprise-scale digital platform implementation
• Demonstrated ability to lead multidisciplinary teams across technology, data science, and engineering functions
• Strong understanding of regulatory requirements including good clinical practice, data privacy, and data integrity standards
• Excellent communication and stakeholder engagement skills with the ability to translate complex technical concepts clearly

Desirable Requirements

• Master of Business Administration or equivalent leadership qualification
• Experience leading large-scale organisational transformation and artificial intelligence-driven change management initiatives

The salary for this position is expected to range between $ per year. The final salary offered is determined based on factors like, but not limited to, relevant skills and experience, and upon joining Novartis will be reviewed periodically. Novartis may change the published salary range based on company and market factors.

Your compensation will include a performance-based cash incentive and, depending on the level of the role, eligibility to be considered for annual equity awards.

US-based eligible employees will receive a comprehensive benefits package that includes health, life and disability benefits, a 401(k) with company contribution and match, and a variety of other benefits. In addition, employees are eligible for a generous time off package including vacation, personal days, holidays and other leaves.

To learn more about the culture, rewards and benefits we offer our people click here.

 

EEO Statement:

The Novartis Group of Companies are Equal Opportunity Employers. We do not discriminate in recruitment, hiring, training, promotion or other employment practices for reasons of race, color, religion, gender, national origin, age, sexual orientation, gender identity or expression, marital or veteran status, disability, or any other legally protected status. We strive to create an inclusive workplace that cultivates bold innovation through collaboration and empowers our people to unleash their full potential.

 

Accessibility and reasonable accommodations

The Novartis Group of Companies are committed to working with and providing reasonable accommodation to individuals with disabilities. If, because of a medical condition or disability, you need a reasonable accommodation for any part of the application process, or in order to perform the essential functions of a position, please send an e-mail to tas.nacomms@novartis.com call +1 (877)395-2339 and let us know the nature of your request and your contact information. Please include the job requisition number in your message.

https://www.novartis.com/careers/careers-research/notice-all-applicants-us-job-openings

 

Salary Range

$303,100.00 - $562,900.00

 

Skills Desired

Agile (Programming Methodology) (Inactive), Artificial Intelligence (AI), Business Value Creation, Change Management, Cluster Analysis, Curious Mindset, Data Engineering, Data Governance, Data Literacy, Data Management, Data Quality, Data Science, Data Strategies, Data Visualization, Deep Learning, Learning Agility, Machine Learning (ML), Machine Learning Algorithms, Mentorship, Organization Awareness (Inactive), Stakeholder Engagement, Time Series Analysis, Vision (Inactive)