AI Adoption Manager

Galderma is the emerging pure-play dermatology category leader, present in approximately 90 countries. They deliver an innovative, science-based portfolio of premium flagship brands and services spanning Injectable Aesthetics, Dermatological Skincare, and Therapeutic Dermatology. Founded in 1981, Galderma focuses on the human body's largest organ - the skin - partnering with healthcare professionals to meet individual consumer and patient needs with superior outcomes.

• 5+ years in change management, digital adoption, training/enablement, or transformation roles.
• Experience launching new digital tools at scale including communications, training, champion networks, and support readiness.
• Exposure to AI solutions and associated risk considerations such as privacy, security, and responsible use preferred.
• Demonstrated success measuring adoption and business value with data including usage analytics and KPI tracking.
• Comfortable operating in a global matrix environment with diverse stakeholders.
• Strong English speaking and writing skills.

Adoption Strategy & Change Management:

• Develop adoption strategies for AI solutions (GenAI, Copilot, automation) including stakeholder mapping, readiness assessments, and change plans aligned to business rollouts.

AI Champions Network:

• Train and coach AI champions within functions and regions.
• Run a community of practice with regular sessions, playbooks, and peer support.

Training & Enablement:

• Design and deliver role-based learning journeys (live sessions, bite-size content, guides).
• Ensure responsible use guidance is understood (privacy, security, ethics).

Communications & Storytelling:

• Create clear communications explaining the “why”, “what”, and “how” of AI initiatives.
• Highlight success stories and practical use cases to build momentum.

Value Realization & Measurement:

• Define adoption KPIs (usage, satisfaction, productivity, process impact).
• Track benefits with business owners.
• Identify gaps and corrective actions to ensure value delivery.

Feedback & Continuous Improvement:

• Collect user feedback, champion insights, and support tickets.
• Prioritize improvements with AI Product/Engineering.
• Iterate training and guidance based on real usage patterns.

Governance Alignment:

• Ensure adoption activities align with security, legal, privacy, and Responsible AI requirements.
• Maintain up-to-date user guidance and escalation paths.