Data Analytics Delivery Lead
Join Prada Group in Milan as a Data Analytics Delivery Lead. Drive innovation in luxury fashion's IT sector. Apply now!
Overview
The Prada Group, established in 1913 in Italy, is a paragon of luxury and innovation. As a global leader in the luxury sector, the Group operates in over 45 countries with renowned brands such as PRADA, Miu Miu, Church’s, and Car Shoe. With a diverse workforce comprising over 100 nationalities, the Prada Group is committed to excellence and innovation.
Role & Responsibilities
- Coordinate the planning and execution of projects for the Data Visualization, Data Science, and Data Lake teams.
- Define the evolution of the delivery model and manage its adoption across the Data Analytics teams.
- Create and implement monitoring frameworks and KPIs to measure delivery performance and the value generated by individual projects.
- Manage dependencies and integration with other IT development teams on cross-functional programs and products.
- Collaborate with product owners to shape project initiatives and ensure alignment between business priorities and delivery.
- Ensure visibility and effective communication with both technical and business stakeholders.
Qualifications
- Master's degree in Computer Science, Statistics, Engineering, Maths, or related STEM discipline.
Skills
Experience
At least 5-7 years of experience in delivery/project management within the Data Analytics domain, preferably in consulting and/or in the fashion & luxury sector.
Education
Master's degree in Computer Science, Statistics, Engineering, Maths, or related STEM discipline.
Benefits
Working in a creative and international environment, with opportunities for professional growth and development.
Culture
Prada Group fosters a creative and international environment where curiosity and the pursuit of excellence drive success. The company values the talent and passion of its employees, promoting professional growth. Committed to inclusivity, Prada Group ensures equal opportunities for all candidates, celebrating diversity and building a fair and respectful workplace.