Lead AI Validation & Governance (GenAI & ML)

Generali · Milano · Italy

Lead AI Validation & Governance (GenAI & ML) – Head AI strategy, model validation & governance for ML & Generative AI at Generali. Enriches Generali’s AI tools with robust, explainable, compliant models across ML, Generative and Agentic AI systems.

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Lead AI Validation & Governance (GenAI & ML) – Head AI strategy, model validation & governance for ML & Generative AI at Generali.

Enriches Generali’s AI tools with robust, explainable, compliant models across ML, Generative and Agentic AI systems.

Within the Group Data, Artificial Intelligence and Automation department, we are looking for a highly experienced Data Scientist / Data Engineer to lead AI Validation and Governance across both traditional Machine Learning and next-generation Generative and Agentic AI systems.

The Lead AI Validation & Governance (GenAI & ML) will play a pivotal role in defining, implementing, and scaling the Group’s AI governance and model risk framework, ensuring that AI systems are robust, explainable, compliant, and fit for purpose in business-critical contexts.

This role sits at the intersection of AI model validation, model risk management, and Responsible AI, providing independent oversight and technical leadership across the entire AI lifecycle — from design and development to deployment, monitoring, and periodic review.

In addition to its strategic and governance responsibilities, this role is expected to remain strongly hands‑on, actively contributing to the design, validation, and testing of AI models and systems.

The ideal candidate combines deep technical expertise with a pragmatic mindset, and is comfortable developing and reviewing model validation code; working directly with ML and GenAI pipelines; building prototypes, validation tools, and monitoring solutions; interacting with data, models, and APIs in a production‑oriented environment

Key responsibilities of the role will include:

Strong expertise in machine learning, Generative AI and agentic AI, with solid knowledge of AI lifecycle frameworks and validation/governance practices

4–7+ years of experience in AI/ML validation, model risk, or AI governance preferably within structured or regulated environments

Advanced Python programming skills (object‑oriented design) with hands‑on experience in core data science libraries (e.g., pandas, scikit‑learn, LightGBM)

Proven ability to develop clean, modular, maintainable code, with strong focus on robustness, reproducibility, and quality

High autonomy and proactivity, with strong collaboration skills and good understanding of regulatory frameworks (e.g., EU AI Act), explainability tools, and modern AI architectures

Italian and English working proficiency

Soft skills:

What we offer

We offer employment at the VI level with the relevant salary, in accordance with the CCNL ANIA for non‑executive employees and the Generali Group Company Agreement.

We also offer:

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