Siemens is a global technology powerhouse that focuses on industry, infrastructure, transport, and healthcare. As one of the world's largest industrial manufacturing companies, it operates on a massive scale, providing innovative solutions for resource-efficient factories, resilient supply chains, and smarter buildings and grids.

In Spain, Siemens maintains a robust presence with major operations centered in Madrid and Barcelona. The company is a significant employer for international professionals, particularly within its Global Business Services (GBS) and specialized IT hubs. Many roles in Spain are designed to support international markets, frequently requiring proficiency in languages such as English, Italian, or French, making it an ideal destination for multilingual expats.

Founded in 1847 in Berlin by Werner von Siemens and Johann Georg Halske, the company began as a telegraph construction firm. Over nearly two centuries, it has grown into a global leader in electronics and electrical engineering.

For international professionals

Operates a major Global Business Services (GBS) hub in Spain that supports international operations.
Frequently recruits for multilingual roles requiring English, Italian, French, or German.
Strong focus on digital innovation with numerous openings for AI, Cybersecurity, and Software Engineering in Madrid and Barcelona.
Offers structured trainee and internship programs suitable for international graduates and PhD students.
Provides a multicultural work environment with a high degree of internal mobility across global offices.

Data Domain Professional (m/f/d)

Siemens

Requirements

University degree or comparable qualification in a relevant field (e.g. computer science, IT, or a related technical discipline).
3+ years of meaningful professional experience around data management or AI in a globally operating large corporation.
Excellent understanding of business processes, project management, ideally in the rail sector or large scale project business.
Strong knowledge of Data Governance (especially data quality management and metadata management) and experience in implementing strategic data concepts.
High level of personal responsibility, decision-making ability, innovation mindset, and willingness to change, combined with the ability to think and work in a networked, cross-organizational manner; strong teamwork skills and high level of commitment.
Fluent in English, German and additional languages are a plus.
Availability to travel up to 20% internationally

Benefits

A flexible working model to promote a better work-life balance, a health insurance and access to our on-site medical center. 2 volunteering days a year and 4 additional bridge days per year. In addition, you'll have access to exclusive discounts on Siemens and Bosch brands, and access to Siemens Learning Platforms that allow for internal online courses, as well as external platforms such as Coursera, Udemy, and LinkedIn Learning.

Original Advert

Field of work

Information Technology

Company

SIEMENS MOBILITY, UNIPESSOAL LDA

Experience level

Experienced Professional

Work mode

Hybrid (Remote/Office)

Location(s)

Amadora - Lisboa - Portugal

Siemens Mobility is a leading provider of innovative mobility products and solutions, covering the full rail asset lifecycle through hardware, software, and services. Our mission is simple but ambitious: help customers make better decisions by turning IoT data from rail assets into reliable, actionable insights!

Your Role:

Are you passionate about revolutionizing the future of rail infrastructure? Do you thrive at the intersection of cutting-edge AI, complex engineering, and impactful project management? Siemens Mobility is seeking a visionary Sub-Data Domain Manager for Data Domain Projects to build the foundation for AI-powered solution that will transform how we manage large-scale, safety-critical rail projects. You will closely work with the Data Domain Manager and other Sub Data Domain Manager to identify synergies and avoid duplication

This is an opportunity to shape the digital backbone of tomorrow's transportation. You'll be instrumental in enhancing planning reliability, optimizing costs and risk management, streamlining requirement management, boosting productivity, and perfecting coordination across some of the most intricate projects in the world. Your mission: to translate real-world challenges into practical, intelligent digital solutions that empower our project teams.

Your Responsibilities:

You are the central owner and driver of all data-related topics within the Projects data domain. You bridge business and IT, ensuring that project-related data is governed, structured, and leveraged to deliver tangible value through data products and AI/analytics use cases.

The role is critical to enabling data-driven project management across Siemens Mobility and ensuring that the Projects domain evolves from a pure data delivery function towards a scalable, use-case-driven data platform - closely aligned with related transformation.

Core Responsibilities:

Domain Ownership & Strategy

Own the vision, strategy, and roadmap for the related sub data domain.
Define and maintain a clear IT and data architecture for the related sub domain - preventing additional silos and redundant tooling.
Align data needs with Process Owner.

Orchestration of Data Product and its Owner

Own the end-to-end lifecycle of all data products within the related sub domain.
Ensure every data product is backed by a validated use case before development is initiated.
Drive the integration and linkage of data assets in Collibra.
Continuously improve and evolve existing data products based on business feedback and changing requirements.

Governance & Data Quality

Define and enforce data governance standards for project-related data assets.
Monitor and drive improvement of data quality across the related sub domain.
Ensure proper documentation and cataloguing of all data assets in Collibra.
Identify and address compliance gaps

Your Background:

University degree or comparable qualification in a relevant field (e.g. computer science, IT, or a related technical discipline).
3+ years of meaningful professional experience around data management or AI in a globally operating large corporation.
Excellent understanding of business processes, project management, ideally in the rail sector or large scale project business.
Strong knowledge of Data Governance (especially data quality management and metadata management) and experience in implementing strategic data concepts.
High level of personal responsibility, decision-making ability, innovation mindset, and willingness to change, combined with the ability to think and work in a networked, cross-organizational manner; strong teamwork skills and high level of commitment.
Fluent in English, German and additional languages are a plus.
Availability to travel up to 20% internationally

What we offer