Sr Manager AI Literacy - Clinical & Scientific Expert

Data Analytics & Computational Sciences

Data Science

People Leader

Beerse, Antwerp, Belgium, Madrid - Lafinca

About the Role

We are seeking a passionate and strategic leader to support AI literacy and adoption initiatives across R&D. This role works across the AI Literacy team, to ensure a cohesive and impactful experience for R&D employees.

The Associate Director will bring a strong clinical and scientific perspective while helping shape content, identify high-value use cases for tools, engage stakeholders, and drive responsible AI adoption across the organization. This individual will help connect the needs of R&D functions with AI literacy initiatives, ensuring programs are relevant, practical, and aligned with business priorities.

Key Responsibilities

• Work across the AI Literacy team to support the design, development, and delivery of AI literacy and adoption initiatives.
• Partner with stakeholders across R&D ensure AI literacy efforts are relevant and aligned with business needs.
• Provide clinical and scientific input into programs, toolkits, communications, use cases, and enablement resources.
• Collaborate with subject matter experts to validate the accuracy, relevance, and applicability of AI literacy materials.
• Support stakeholder engagement activities, presentations, and communications that translate AI concepts into practical applications for R&D audiences.
• Contribute to the development of narratives and examples that help employees understand the opportunities and limitations of AI in R&D.
• Support cross-functional collaboration across the AI Literacy team to ensure consistency, alignment, and reuse of best practices.

Qualifications

• Master's degree preferred; advanced degree in a scientific, clinical, biomedical, or technical field is strongly preferred.
• Minimum of 7 years of experience in clinical, scientific, medical, pharmaceutical, biotechnology, or healthcare-related roles.
• Experience translating scientific or clinical concepts into educational, strategic, or business-focused communications.
• Experience working effectively across matrixed and cross-functional organizations.
• Strong communication and stakeholder engagement skills, including experience presenting to scientific, technical, and business audiences.
• Familiarity with AI and GenAI concepts and their potential application within research, clinical development, or medical affairs environments.
• Understanding of data science, analytics, or computational approaches relevant to healthcare and life sciences.
• Ability to evaluate the applicability and limitations of AI tools in scientific and clinical settings.
• Experience in therapeutic area, clinical development, translational medicine, medical affairs, or related scientific functions is preferred.

Advanced Analytics, Budget Management, Compliance Management, Critical Thinking, Cross-Functional Collaboration, Data Analysis, Data Privacy Standards, Data Quality, Data Reporting, Data Savvy, Data Science, Data Visualization, Developing Others, Digital Fluency, Inclusive Leadership, Leadership, Strategic Thinking, Team Management

€75,000.00 - €129,260.00

In addition to base pay, we offer the following benefits*: an annual bonus with set target (% of pay) depending on pay grade / location, where the actual amount is based on the employees' and companies' performance of the previous calendar year, or sales commissions. Moreover, we offer vacation days, parental leave for a minimum of 12 weeks, bereavement leave, caregiver leave, volunteer leave, well-being reimbursement, programs for financial, physical and mental health. We also offer service anniversary and recognition awards, and subject to the terms of their respective plans, employees - and in some location's eligible dependents - can participate in several insurance plans. For more information, visit Employee benefits | Supporting well-being & career growth | Johnson & Johnson Careers.

*This is for informative purposes only. Amounts and actual benefits may vary by location and are subject to change.

The ideal candidate combines scientific credibility with a passion for learning, innovation, and organizational transformation. They are comfortable operating across multiple teams and disciplines, connecting stakeholders, identifying meaningful opportunities for AI adoption, and helping employees build the confidence and skills needed to use AI effectively and responsibly.