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Generali Group · Milano

# Tech Lead - Data & AI

Milano Manager or lead Data & Analytics 

Listed on Generali Group’s official careers site. Listed as of October 18, 2026. Check that it is still open and apply there.
[Apply on Generali Group’s careers site →](https://gogenerali.com/home/job/ATS-P-4d337bcb-4eaa-41b2-81a9-e21385a5c296/Tech%20Lead%20-%20Data%20%26%20AI)

[OpenNash Jobs](https://jobs.opennash.com/) / [Generali Group](https://jobs.opennash.com/companies/generali-group/) / Tech Lead - Data & AI

## Job description

Within 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

### 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 anal ytical 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

## At a glance
- Posted by the employer: Not stated
- First seen by OpenNash: Jul 31, 2026
- Last checked: Oct 18, 2026
- Listed for: 79 days
- Location: Milano[Apply on Generali Group’s careers site →](https://gogenerali.com/home/job/ATS-P-4d337bcb-4eaa-41b2-81a9-e21385a5c296/Tech%20Lead%20-%20Data%20%26%20AI)

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