Jobs Companies Novartis Global Clinical Operations AI Product Director

Sobre este puesto de Global Clinical Operations AI Product Director en Novartis

Novartis · Presencial · East Hanover

Job Description Summary

#LI-Hybrid

Location: 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 Analysis
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