Tech Lead - Data & Ai

La posizione è aperta all’interno del team di Generali Italia. With in Data, AI Tech Solutions & IT Applications function in Generali Investments Holding, we are looking for a talented and proactive resource to join the team. As Tech lead – Data & AI , you will be responsible for development, maintenance, and enhancement of Generali Investments Holding’s cloud data architecture to ensure the integrity, efficiency, and accessibility of our data. You will guide a small multidisciplinary engineering team (Data & Software Engineers, Frontend Developer, DevOps Engineer) and collaborate closely with Group and local teams including Cloud, Security, and Data & AI functions. You will work with enterprise-grade technologies , define best practices across data engineering and software development , and play a key role in shaping next-generation Data & AI and GenAI solutions within a complex and regulated financial environment.

Key Responsibilities

• Design and develop end-to-end data pipelines for efficient and reliable data ingestion, transformation, exposure, and visualization, ensuring consistency and accuracy.
• Design, maintain and evolve data models to support analytical and reporting requirements.
• Implement data quality controls and monitoring processes to ensure the accuracy and reliability of data and contribute to the development and enforcement of data governance policies.
• Maintain and continuously improve the Cloud Data Platform, monitoring KPIs, security alerts, performance, and costs, and optimizing ETL processes.
• Troubleshoot and resolve data pipeline and platform issues, performing root-cause and cost/performance analyses.
• Lead and mentor a small engineering team, ensuring alignment with project requirements, timelines, and architectural standards.
• Define and implement GenAI and LLM-based architectures (e.g. RAG, Agents), integrating AI solutions into business processes effectively and safely.
• Establish and enforce a coherent Data & AI governance framework, balancing innovation, compliance, and risk management.
• Collaborate closely with data analysts, data scientists, and business stakeholders to translate requirements into robust technical solutions.
• Promote a data-driven culture through effective communication and cross-department collaboration.

Qualifications

• 5+ years of experience as a Data Engineer, Software Engineer, ML Engineer, or DevOps Engineer .
• 1+ year of experience as a technical lead or in guiding small engineering teams.
• Bachelor/Master’s degree in Engineering , Computer science, or a related field.
• Strong programming experience with Python and/or Node.Js .
• Solid experience with DevOps and CI/CD tools (e.g. Git, GitHub, GitLab) and modern code assistant tools (e.g. GitHub Copilot, Claude Code).
• Hands‑on experience with cloud-based data platforms (AWS preferred).
• Strong knowledge of SQL , NoSQL databases and data modeling best practices.
• Experience designing and developing RESTful APIs .
• Familiarity with microservices architectures , containerization , and orchestration platforms (Docker, Kubernetes – ECS, Fargate, EKS).
• Knowledge of data quality , data governance , and monitoring practices.
• Experience with data technologies such as Spark , Pandas , Polars , Airflow .
• Strong understanding of LLM architectures , including RAG and agent-based systems.

Preferred Qualifications

• Exposure to asset management or financial services industry.

Soft Skills

• Excellent problem‑solving and analytical skills.
• Ability to operate in a complex, regulated and evolving environment and guide teams through changing requirements.
• Proven capability as a technical mentor and leader.
• Strong communication and collaboration skills and team‑oriented mindset.
• Fluency in English, both written and spoken.