Why you should join

Join us to lead high-impact AI and digital transformation initiatives within our global quality organization, driving the industrialization, scaling, and embedding of AI solutions into production environments worldwide.

This role combines strategic ownership with strong technical capability, requiring you to drive and technically validate AI initiatives beyond proof-of-concept, align business and AI/IT stakeholders, and ensure scalable, production-ready deployment that delivers measurable operational and quality results.

Your main tasks

Strategy

- Identify and prioritize AI and digital opportunities across the Quality function.

- Translate the global Quality AI strategy into a clear and actionable roadmap.

- Collaborate with business units and regional digital leaders to ensure strategic alignment.

- Work with cross‑functional teams to understand needs, co‑create solutions, validate use cases, and support adoption.

- Support the deployment of AI capability development within the Quality organization.

Execution

- Lead and contribute to the development and implementation of AI solutions (e.g., machine learning, deep learning, LLMs, dashboards).

- Provide guidance on processes, data structure, and data readiness to enable effective AI integration.

- Serve as a connector between Quality and AI teams (internal and external) to ensure solution feasibility, timely delivery, and validation.

Talent

- Identify AI training needs across Quality functions based on roles and responsibilities.

- Foster continuous learning and upskilling through coaching, training sessions, knowledge sharing, and hands‑on collaboration.

Your Ideal Background

• Engineer / Master degree (data science preferred)
• 5+ years of project management experience delivering AI or machine learning solutions end‑to‑end
• 3–5 years of hands‑on coding experience (e.g. Python)
• Proven experience industrializing AI projects in manufacturing or other industrial environments.
• Practical knowledge of large language models (LLMs) and their applications
• Solid understanding of data and cloud infrastructure needed to scale AI solutions.
• Mature, realistic perspective on AI capabilities and limitations, with the ability to assess use‑case feasibility.
• Strong cross‑functional communication skills, especially between business, IT, quality, development teams, and plant operations.
• Willingness to travel across EMEA and globally
• Strong stakeholder management skills across complex, global environments.

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