Head IT Architecture, Infrastructure and Operations

Define and execute a multi‑year enterprise technology strategy and roadmap covering cloud, data, AI/ML, OT/edge, and cybersecurity, aligned to corporate objectives and CIO enterprise standards. Lead Industry 4.0 initiatives across global sites, including advanced automation, real‑time release, predictive maintenance, robotics, and secure OT/IT integration. Build and operate an enterprise data platform with strong metadata, lineage, and master data management foundations. Drive security‑by‑design across manufacturing, lab, product, and cloud platforms. Institutionalize CSV/CSA approaches for GxP computerized systems across their full lifecycle. Identify, evaluate, and incubate emerging technologies such as generative AI, digital twins, advanced sensors, and continuous manufacturing. Build and lead high‑performing global engineering, data, and product organizations. Co‑own technology investment planning (CapEx/OpEx), lifecycle management, and value realization.

Today, Lonza is a global leader in life sciences operating across five continents. While we work in science, there’s no magic formula to how we do it. Our greatest scientific solution is talented people working together, devising ideas that help businesses to help people. In exchange, we let our people own their careers. Their ideas, big and small, genuinely improve the world. And that’s the kind of work we want to be part of.

• 15+ years of global technology leadership experience, including responsibility for large‑scale platforms, engineering, and enterprise transformations across multiple sites.

• Proven delivery of digital manufacturing in GxP‑regulated environments with FDA/EMA exposure.

• Strong experience with OT/IT convergence and cybersecurity in regulated manufacturing environments.

• Experience within or with CDMOs, biopharma manufacturers, or similarly regulated life‑sciences organizations.

• Track record of innovation portfolio leadership with measurable business value.

• Bachelor’s or Master’s degree in Computer Science, Engineering, Information Systems, or related field.