PRADA Innovation Manager
Pubblicato il 04-10-2026 - BoF Careers in Milano
Founded in 1913 in Italy, the Prada Group was built on a tradition of excellence and with a vision of innovation. The Group, a world leader in the luxury sector, operates in more than 45 countries with the PRADA, Miu Miu, Versace, Church's, Car Shoe and Luna Rossa brands, and has employees of over 100 nationalities.
We are looking for an Innovation Manager to join our Digital team in Milan, reporting directly to the Group Digital Director. This is a highly cross-functional and strategic role, requiring the ability to connect business needs with technological opportunities and translate complex topics into clear priorities and actionable initiatives. The role will be responsible for identifying, shaping and driving the adoption of emerging technologies, from Artificial Intelligence and Generative AI to advanced algorithms and immersive digital experiences, turning new technological opportunities into tangible business value.
Working at the intersection of technology, business and customer experience,
the Innovation Manager will lead a portfolio of high-impact initiatives across areas such as content production, algorithms, clienteling, CRM and customer experience. The role will cover the full innovation journey, from identifying an opportunity and defining the business case, through experimentation and validation, to scaling and embedding successful solutions into the organization. As the first role specifically dedicated to this scope, the Innovation Manager will also have the opportunity to shape the company's approach to innovation, defining ways of working and progressively contributing to the development of a dedicated team.
Responsibilities
- Identify and assess emerging technologies, including AI, Generative AI, algorithms and immersive solutions, evaluating their potential applications and relevance to the business.
- Own and deliver a portfolio of innovation projects from ideation to roll-out, currently spanning content production, algorithms and clientel