Digital Management
Pubblicato il 15-09-2026 - Altro in Rovereto
If you’ve worn a pair of glasses, we’ve already met.
We are a global leader in the design, manufacture, and distribution of ophthalmic lenses, frames, and sunglasses. We offer our industry stakeholders in over 150 countries access to a global platform of high-quality vision care products (such as the Essilor brand, with Varilux, Crizal, Eyezen, Stellest and Transitions), iconic brands that consumers love (such as Ray-Ban, Oakley, Persol, Oliver Peoples, Vogue Eyewear and Costa), as well as a network that offers consumers high-quality vision care and best-in-class shopping experiences (such as Sunglass Hut, LensCrafters, Salmoiraghi & Viganò and the GrandVision network), and leading e-commerce platforms.
Join our global community of over 190,000 dedicated employees around the world in driving the transformation of the eyewear and eyecare industry.
Your Role We are looking for a motivated graduate with a technical, engineering, or IT background who is passionate about industrial technologies, digital innovation, and Artificial Intelligence. Based in Rovereto,
you will contribute to a strategic project aimed at capturing, structuring, and enhancing the technical know-how of the manufacturing plant, transforming operational expertise into accessible digital knowledge and training resources through company-approved digital and AI solutions.
Main Responsibilities Collect and map technical know-how from process experts, technicians, and key plant stakeholders.
Structure and organize operational knowledge into standardized and easily accessible formats.
Develop digital content, guidelines, procedures, and training materials to support knowledge sharing.
Collaborate with Manufacturing Engineering, Production, and Automation teams to identify critical knowledge areas.
Support the creation and maintenance of centralized knowledge repositories and digital documentation systems.
Contribute to the implementation of AI-based solutions for knowledge management and information retri