Novartis
Barcelona Gran Vía
Executive
Posted 2 hours ago
Verified open on Nov 6, 2026 · posted today
Salary Range:
€63,800.00 - €118,400.00
Job Description Summary
#LI-Hybrid
Job Description
This position acts as the programmatic backbone of the AI team by supporting the coordination and alignment of GCO AI product roadmaps with Dev AI products and strategy as well as enabling Product Owners, Platform Leads and the Head of AI Transformation to deliver on the GCO AI goals.
Key Responsibilities
Essential Requirements
Desirable Requirements
Why Consider This Opportunity
This role offers the opportunity to help shape how AI is adopted across Global Clinical Operations, working at the intersection of innovation, transformation, and delivery. You will partner with leaders across the organization to turn AI opportunities into practical solutions that enhance productivity, support compliant operations, and accelerate the journey toward an AI-enabled Clinical Operations organization.
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: 63,800.00 - 118,400.00 EUR 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: https://www.novartis.com/sites/novartis_com/files/novartis-life-handbook.pdf
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? https://www.novartis.com/about/strategy/people-and-culture
Benefits and Rewards: Read our handbook to learn about all the ways we’ll help you thrive personally and professionally: https://www.novartis.com/careers/benefits-rewards
Skills Desired
AI Adoption, AI Adoption, AI Product Management, Artificial Intelligence (AI), Artificial Intelligence Software, Artificial Intelligence Strategy, Artificial Intelligence Technologies, Biostatistics, Business Value Creation, Change Management, Change Management for AI Adoption, Clinical Research, Clinical Research Trials, Clinical Trials Operations, Curious Mindset, Data Governance, Data Literacy, Data Quality, Data Science, Data Visualization, Deep Learning, Good Clinical Practice (GCP), Graph Algorithms, Learning Agility, Machine Learning (ML) {+ 6 more}Not ready to apply?
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