Job Description Summary
#LI-HybridLocation: East Hanover, NJ, USA
This is a Hybrid working position with a requirement of 12 days per month onsite at our East Hanover offices.
Relocation Support: This role is based in East Hanover, NJ, USA. Novartis is unable to offer relocation support or visa sponsorship for this position; please only apply if accessible and authorized to work in the United States.
Artificial Intelligence is creating new opportunities to transform how clinical trials are planned, executed, and delivered. As Global Clinical Operations AI Product Director, you will translate complex business challenges into practical, scalable AI solutions that improve productivity, quality, and cycle times across clinical development. Working at the intersection of clinical operations, technology, and business strategy, you will guide products from concept through adoption, ensuring they are compliant, user-focused, and capable of delivering measurable value. This role is focused on AI enablement, transformation, and delivery across Global Clinical Operations
Job Description
Key Responsibilities
Identify clinical operations challenges and translate them into high-value Artificial Intelligence (AI) opportunities and product concepts.
Define use cases, scope, value hypotheses, and requirements for prioritized products within the Global Clinical Operations AI portfolio.
Evaluate emerging AI technologies, vendor solutions, and enterprise capabilities to inform product direction and design.
Bridge business stakeholders and technical teams, translating operational needs into clear, actionable functional requirements.
Lead AI products through design, Minimum Viable Product (MVP), pilot, refinement, scaling, and sustained adoption.
Ensure solutions are user-focused, compliant, and aligned with privacy, AI guardrails, and Good Practice (GxP) requirements.
Drive adoption by validating solutions with users, gathering feedback, monitoring outcomes, and supporting organizational change.
Partner across Global Clinical Operations, Development AI, Digital, Data and Information Technology (DDIT), Quality, and Compliance.
Essential Requirements
Bachelor’s degree in computer science, engineering, life sciences, or a related field, or equivalent relevant business experience.
At least seven years’ relevant experience in leadership roles
Experience in product management, digital delivery, Artificial Intelligence (AI) solution delivery, or a closely related discipline.
Strong understanding of clinical operations, drug development, life sciences, or another highly regulated operating environment.
Proven ability to translate business needs into clear AI requirements, use cases, product scope, and value propositions.
Experience delivering products through the Software Development Life Cycle (SDLC) using Agile or Scrum methodologies.
Understanding of AI and Machine Learning (ML), model lifecycle concepts, and AI-enabled workflow design.
Demonstrated success leading cross-functional initiatives, navigating complex matrix environments, and delivering measurable operational value.
Desirable Requirements
Postgraduate qualification such as a Master of Science (MSc), Master of Business Administration (MBA), or Doctor of Philosophy (PhD).
Experience enabling AI adoption or organizational change within clinical operations or a Good Practice (GxP) regulated environment.
Novartis Compensation and Benefit Summary:
The salary for this position is expected to range between 194,600.00 - 361,400.00 USD Annual
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.
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, sex, national origin, age, sexual orientation, gender identity or expression, marital or veteran status, disability, or any other legally protected status.
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 to perform the essential functions of a position, please send an e-mail to [email protected] or 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.
Salary Range
$194,600.00 - $361,400.00
Skills Desired
AI Product Management, Artificial Intelligence (AI), Artificial Intelligence Software, Artificial Intelligence Strategy, Artificial Intelligence Technologies, Business Value Creation, Change Management, Clinical Operations, Clinical Research Operations, Clinical Trials Operations, Curious Mindset, Data Governance, Data Literacy, Data Quality, Data Science, Data Visualization, Deep Learning, Learning Agility, Machine Learning (ML), Machine Learning Algorithms, Mentorship, Pharmaceutical Industry, Stakeholder Engagement, Statistical Analysis, Time Series AnalysisSkills Required
- Bachelor's degree in computer science, engineering, life sciences, a related field, or equivalent relevant business experience
- At least seven years of relevant experience in leadership roles
- Experience in product management, digital delivery, AI solution delivery, or a closely related discipline
- Strong understanding of clinical operations, drug development, life sciences, or another highly regulated operating environment
- Ability to translate business needs into AI requirements, use cases, product scope, and value propositions
- Experience delivering products through the SDLC using Agile or Scrum methodologies
- Understanding of AI and ML, model lifecycle concepts, and AI-enabled workflow design
- Experience leading cross-functional initiatives in complex matrix environments and delivering measurable operational value
- Postgraduate qualification such as an MSc, MBA, or PhD
- Experience enabling AI adoption or organizational change within clinical operations or a GxP-regulated environment
Novartis Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Novartis and has not been reviewed or approved by Novartis.
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Healthcare Strength — Pay and benefits are described as a strong overall package, supported by medical, dental, and vision insurance alongside FSAs/HSAs and disability and life coverage. Mental-health support is reinforced through an employee assistance program with psychological support and a network of mental health first aiders.
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Retirement Support — Retirement support is positioned as a standout element, with an automatic company contribution plus dollar-for-dollar matching in the 401(k). Additional retirement funding is described through an age-based defined contribution program and access to an employee share purchase plan discount.
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Parental & Family Support — Family-related benefits are framed as robust, including a global minimum of paid parental leave for new parents following birth or adoption. Added supports include domestic partner coverage, dependent-care resources, and benefits such as adoption assistance and child/elder care options.
Novartis Insights
What We Do
Novartis is an innovative medicines company. Every day, working to reimagine medicine to improve and extend people’s lives so that patients, healthcare professionals and societies are empowered in the face of serious disease. Our medicines reach more than 250 million people worldwide.






