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Data Governance and AI Expert

Job in 20017, Rho, Lombardia, Italy
Listing for: Altro
Full Time position
Listed on 2026-06-30
Job specializations:
  • IT/Tech
    AI Engineer (Applied/Software), Data Engineering, Cloud Computing: Infrastructure & Operations, Data Analyst
Salary/Wage Range or Industry Benchmark: 60000 - 80000 EUR Yearly EUR 60000.00 80000.00 YEAR
Job Description & How to Apply Below
Overview  Experteer Overview
As Data Governance Expert, you will lead the data governance framework across IT, ensuring quality, security and compliance for enterprise systems in cloud and on‑premise environments. You will align data policies with the digital strategy while collaborating with IT, business stakeholders and partners to enable our transformation initiatives. You will influence data architecture, policy, and processes to support AI, automation and advanced analytics programs.

This role offers impact across scalable platforms and a chance to shape data governance for a decarbonisation-focused organization.
Responsibilities   Translate business requirements into technically sound data solutions and ensure alignment with enterprise architecture
Act as liaison between business stakeholders, ICT teams and external partners
Scout, assess and prototype emerging technologies (AI, GenAI, automation, advanced analytics) and support PoC initiatives
Manage end-to-end data pipelines including preprocessing and feature engineering
Design and implement predictive models and evaluate AI/ML solutions (including LLMs and computer vision)
Collaborate on cloud deployments (AWS, Azure) and apply modern Dev Ops practices (Git, Docker)
Assess cost-benefit, ROI and long-term maintenance for digital initiatives
Contribute to business cases for digital investments
Qualifications   Master's degree or PhD in technical-scientific disciplines (preferred fields listed in ad)
Predictive analytics, deep learning and AI experience
Programming in Python, R, SQL

Experience with Copilot Studio, N8N, Git, Docker and cloud platforms (AWS, Azure, Google)
Data preprocessing, feature engineering and complex dataset management
English proficiency
Multidisciplinary teamwork and strong communication
Benefits   canteen
occupational pension scheme
health insurance
welfare plan
flexible working hours
premio di risultato

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