Experienced – Data
Pubblicato il 20-10-2026 - World Food Programme in Roma
Job Specs
Job Name: Experienced – Data & AI Ethics
Location: Milano, Roma
Business Area: RISK, REGULATORY & FORENSIC
Seniority: Experienced
Business Function: STRATEGY, RISK & TRANSACTIONS ADVISORY
What impact will you make?
ExperiencedData & AI Ethics
We are seeking a Consultant/ Senior Consultant – Responsible AI Expert to join the Data & AI Ethics team at Deloitte’s Strategy, Risk & Transactions Advisory in Milan or Rome.
This role is ideal for professionals with a strong technical background in Data Science, Machine Learning, or AI engineering, combined with a solid understanding of the ethical, societal, and governance dimensions of AI and data.
Our team collaborates with national and international organizations to shape the responsible adoption of AI and data, to support the design and implementation of governance frameworks for ethical AI and data practices, and to conduct impact assessments and assist clients in aligning AI strategies with global regulations (e.g., EU AI Act) and ethical standards.
Your Role
The Experienced resource will be responsible for:
- Project Execution related to AI and Data Ethics for major national and international clients across various industries and public sector entities
- Contribute to the ideation, development, enhancement of technical AI assurance solutions, such as:
- Fairness and bias auditing tools
- LLM safety evaluation pipelines and safety testing frameworks
- Red-teaming methodologies for generative and predictive AI models
- Robustness, reliability, and performance stress-testing tools
- Automated monitoring and model governance dashboard
- Client Advisory by implementing responsible governance frameworks for AI and data, aligning strategies with regulatory requirements and ethical standards
- Risk Assessment and impact analyses to identify and mitigate societal and ethical risks associated with AI and data use
- Regulatory alignment, translating legal and policy requirements into technical and organizational proces