Note: The job is a remote job and is open to candidates in USA. Novartis is a global healthcare company, and they are seeking a Head Clinical Development AI & Technology. In this role, you will lead the design and execution of a scalable technology and artificial intelligence strategy for Clinical Development, optimizing processes from study design through submission.
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
Skills
- 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
- Master of Business Administration or equivalent leadership qualification
- Experience leading large-scale organisational transformation and artificial intelligence-driven change management initiatives
Benefits
- Insurance plans
- Retirement plans
- Wellbeing resources
- Global recognition programs
- Flexible and hybrid working options
- A minimum of 14 weeks paid parental leave
- Performance-based bonus depending on certain performance parameters
Company Overview