Engineering Manager, Data Platform
Pubblicato il 10-08-2026 - Jobgether in Italia
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for an Engineering Manager, Data Platform & ML Ops based in Italy.
This role offers the opportunity to lead a high-performing engineering team building the foundation for advanced data and machine learning capabilities.
You will oversee critical platforms that power analytics, intelligent products, and scalable ML operations.
The position combines technical leadership, people management, and strategic decision-making in a fast-moving environment.
You will guide engineers, influence architecture, and establish best practices across data infrastructure and ML systems.
Working closely with cross-functional teams, you will transform complex data challenges into impactful solutions.
This is an ideal opportunity for an experienced engineering leader passionate about innovation, reliability, and team growth.
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Accountabilities:
As an Engineering Manager,
you will lead the development and evolution of data platforms and ML operations capabilities while supporting engineering excellence and business impact. You will be responsible for building strong teams, driving technical strategy, and ensuring reliable systems that enable data-driven products.
Lead and mentor a team of engineers working across data platforms and machine learning operations.
Own the reliability, scalability, and continuous improvement of internal data infrastructure supporting analytics and product initiatives.
Oversee the complete ML lifecycle, including experimentation, training pipelines, model deployment, and production monitoring.
Provide technical guidance by contributing to architecture discussions, reviewing solutions, and helping teams make effective engineering decisions.
Collaborate with data scientists, product managers, analysts, and engineering leaders to turn data and ML investments into measurable outcomes.
Establish engineering standards, processes, and best practi