Head of Materials AI / all genders / Part-Fulltime

Your Role

Head of Materials AI EMD Electronics is in the middle of a fundamental shift in how R&D gets done, and you will be at the helm of this transformation. You will lead a deployed portfolio of AI products with real users, a multidisciplinary team of scientists and engineers, and a substantial strategic investment behind you.

Your mandate is to scale what works, sharpen what doesn’t, and define the operating model for AI-amplified R&D before the industry converges around one. You will shape the Materials AI roadmap across AI co-scientists, Bayesian optimization, ML-based simulation, lab digitization, and ELN infrastructure across global sites.

You’ll have an annual program budget and multi-year commitment from technology leadership to drive multi-site impact. You will influence how R&D scientists design experiments, capture data, and analyze results to close the gap between AI capability and daily research practice. You will represent the company’s AI leadership externally at conferences and partnerships.

You will own and prioritize a portfolio of concurrent AI and digital programs, managing budget, vendors, and milestone delivery. You will architect and scale a deployed multi-agent AI co-scientist platform into the primary R&D workflow tool. You will extend MLIP and interatomic potential modeling to new material systems and use cases. You will complete global lab digitization, connecting 100+ instruments to ELN and migrating millions of historical experiments.

You will lead a global team across Germany, the US, and Asia, driving cross-functional collaboration with CTO, R&D sites, and business functions.

Who You Are

• Advanced degree (PhD or equivalent) in computer science, data science, chemistry, materials science, or a related field, or equivalent experience.
• 10+ years leading technical teams and large-scale digital transformation programs, including experience in R&D or science-driven organizations.
• Hands-on AI/ML experience (LLMs, Bayesian optimization, or data-driven modeling) in a real deployment context.
• Proven track record delivering digital products in complex, multi-stakeholder environments, bridging data/AI strategy and operational delivery.
• Experience with new product development and scale-up commercialization.
• Proficiency in agentic AI architectures and large language model–based systems, plus modern data infrastructure.
• Demonstrated ability to drive technological adoption and embed tools into how people work.
• Experience leading international, multi-site teams of scientists and engineers across disciplines.

What we offer

• We are curious minds that come from a broad range of backgrounds, perspectives, and life experiences.
• We believe that this variety drives excellence and innovation, strengthening our ability to lead in science and technology.
• We are committed to creating access and opportunities for all to develop and grow at your own pace.
• Join us in building a culture of inclusion and belonging that impacts millions and empowers everyone to work their magic and champion human progress!