Lead AI Validation & Governance for GenAI/ML

Generali; Lombardia; Hybrid; EUR 43,000 - 55,000; Full time

Benefits offered by this job

Smart working and flexible hours

Corporate welfare system

Supplementary health insurance and rep

Training and development

Structured continuous learning paths

Career development programs within the

Internal mobility opportunities, incl.

Job summary

Generali Group in Lombardia seeks a highly experienced Data Scientist / Data Engineer to lead AI Validation and Governance across ML and GenAI systems. You will shape the model risk framework and oversee compliance in business-critical contexts.

You will stay hands-on, developing validation code, monitoring tools, and prototypes while collaborating with data scientists and engineers to ensure robust, explainable AI throughout the lifecycle.

Qualifications

• Strong expertise in machine learning, Generative AI and agentic AI and validation/governance practices.
• 4-7+ years in AI/ML validation, model risk, or AI governance in regulated environments.
• Advanced Python programming with core data science libraries (pandas, scikit-learn, LightGBM).
• Proven ability to develop clean, modular, maintainable code with robustness and reproducibility.
• Familiar with EU AI Act, explainability tools, and modern AI architectures.

Responsibilities

• Perform independent validation and challenge of AI/ML and agentic/Generative AI systems across the full lifecycle, including model design, data quality, and performance (accuracy, robustness, explainability, fairness).
• Align validation and governance practices with regulations (e.g., EU AI Act), internal guidelines, and risk appetite.
• Identify and assess key risks (bias, explainability, compliance), and define validation controls and mitigations.
• Define and implement monitoring and alerting for AI systems in production (data/performance drift, emerging risks).
• Ensure ongoing compliance through lifecycle oversight, including re-validation of models.
• Design reusable functionalities for scalable governance and monitoring of AI models and agents.
• Collaborate with data scientists, engineers, and stakeholders, acting as a second line of defense.
• Maintain robust documentation for audits and standards.

Skills

GenAI validation

Python programming

Regulatory knowledge

Explainability tools

Team collaboration

Communication

Independent worker

Tools

pandas

scikit-learn

LightGBM

Job description

Generali Group in Lombardia seeks a highly experienced Data Scientist / Data Engineer to lead AI Validation and Governance across ML and GenAI systems. You will shape the model risk framework and oversee compliance in business-critical contexts.

You will stay hands-on, developing validation code, monitoring tools, and prototypes while collaborating with data scientists and engineers to ensure robust, explainable AI throughout the lifecycle.