Data Analytics Delivery Lead
Pubblicato il 25-10-2026 - Prada 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, Church’s and Car Shoe brands, and has employees of over 100 nationalities._ **JOB PURPOSE**
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- For our IT Data & Analytics team, we are looking for a Delivery Lead to coordinate the delivery of out three internal teams: Data Visualization, Data Science, and Data Lake. The role involves coordinating the activities of the Analytics teams and managing the interfaces with other IT teams, in particular for program and products that require the integration of multiple components and skills. **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.
- Mange dependencies and integration with other IT development teams on cross-functional programs and products.
- Collaborate with product owners to shape projects initiatives and ensure alignment between business priorities and delivery.
- Ensure visibility and effective communication with both technical and business stakeholders. **KNOWLEDGE AND SKILLS**
- Master's degree in Computer Science,
Statistics, Engineering, Maths, or related STEM discipline.
- 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.
- Hands-on experience in managing cloud-based data platform projects as a core analytics engine and KPI calculation system.
- Proven experience in migrating data flows and implementing near real-time integrations with the key output channels.
- Strong knowledge of agile methodologies (scrum, Kanban) and the ability to work in hybrid agile/waterfall environments.
- Solid understanding of data projects dynamics (data science, analytics, data engineer)
- Familiarity with modern data technologies and platforms; knowledge of Databricks and PowerBi is a plus.
- Experience in delivering enterprise-level AI projects, with a strong focus on managing uncertainty during experimentation phases and supporting the subsequent industrialization and production rollout.
Experience in defining data governance models in compliance with current regulations.
- Joining our Company means working in a creative and international environment, with teams of people motivated by curiosity and the quest for excellence. The engine of our success is the importance and value that we place on the talent and passion of our people leading to their own professional growth._