Global Clinical Operations AI Product Director

Salary Range: CHF146,300.00 - CHF271,700.00 Job Description Summary #LI-Hybrid Location: Basel , Switzerland 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 at a Senior management level 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. Accessibility and accommodation Novartis is committed to working with and providing reasonable accommodation to all individuals. If, because of a medical condition or disability, you need a reasonable accommodation for any part of the recruitment process, or in order to receive more detailed information about the essential functions of a position, please send an e-mail to and let us know the nature of your request and your contact information. Please include the job requisition number in your message. Rewards At Novartis, we’re committed to reimagining medicine together - and rewarding the people who make it happen. The rewards of being part of our team go far beyond base pay and incentives. We also offer a variety of competitive benefits in kind to help you thrive personally and professionally, such as insurance plans, retirement plans, wellbeing resources and global recognition programs. In addition, we provide flexible and hybrid working options, where possible, and a minimum of 14 weeks paid parental leave. Expected Annual Base Salary Range for role: 146,300.00 - 271,700.00 CHF Annual The salary offered is determined based on gender-neutral objectives, such as relevant skills, competencies and experience in accordance with the Novartis pay setting policy and upon joining Novartis will be reviewed periodically. In addition to your base salary, you may be eligible for a performance-based bonus depending on certain performance parameters. Further details will be provided during the application process. Pay equity is a fundamental principle of our employment policy and reflects our commitment to create a diverse, equitable and inclusive environment that treats all employees with dignity and respect, as outlined in our Code of Ethics. Read our brochure to learn more about our global total rewards offering: Note: Benefits and compensation may vary by country and are subject to local legal requirements, including provisions of collective bargaining agreements where applicable. A full overview of your compensation package, including any relevant collective bargaining agreement details applicable to your role based on your employment location and Novartis employer entity, will be communicated separately to you during the application process. Commitment to Diversity and Inclusion / EEO: Novartis is committed to building an outstanding, inclusive work environment and diverse teams’ representative of the patients and communities we serve. Why Novartis: Helping people with disease and their families takes more than innovative science. It takes a community of smart, passionate people like you. Collaborating, supporting and inspiring each other. Combining to achieve breakthroughs that change patients’ lives. Ready to create a brighter future together? Benefits and Rewards: Read our handbook to learn about all the ways we’ll help you thrive personally and professionally: Skills Desired AI Integration, AI Integration, AI Product Management, AI Systems, Artificial Intelligence (AI), Artificial Intelligence Strategy, Artificial Intelligence Technologies, Business Value Creation, Change Management, Clinical Operations, Clinical Research, Clinical Research Trials, Curious Mindset, Data Governance, Data Literacy, Data Quality, Data Science, Data Visualization, Deep Learning, Good Clinical Practice (GCP), Learning Agility, Machine Learning (ML), Machine Learning Algorithms, Mentorship, Pharmaceutical Industry {+ 2 more}