Digital Thread Engineer — AI-Driven Engineering Data

Siemens; Vlaams-Brabant; Hybride; EUR 66 000 - 111 000; Plein temps

Résumé du poste

Siemens Digital Industries Software is seeking an engineer to drive Digital Thread workflows across product lifecycles. You will analyze data flows, interoperability, and traceability to unlock business value and scalability.

The role emphasizes AI-enabled innovation, cross-disciplinary collaboration, and technical demonstrations to influence strategy and roadmap. Hybrid work model with global teams is expected.

Qualifications

• Degree in Engineering, Computer Science, Data Science, Information Systems or related technical field.
• Experience in engineering software, simulation, systems engineering, data management, PLM or related digital engineering areas.
• Strong understanding of Digital Threads and data continuity across the product lifecycle.
• Knowledge of engineering data management concepts and how connected information enables value.
• Excellent communication and presentation skills for technical and business audiences.

Responsabilités

• Investigate and evaluate Digital Thread workflows across strategic initiatives and engineering domains.
• Analyse engineering data flows, interoperability, traceability, and data continuity across the product lifecycle.
• Identify opportunities and gaps affecting Digital Thread adoption, scalability, and business value.
• Collaborate with Product Management and solution partners to influence strategy and roadmap.
• Develop technical demonstrators showcasing AI-enabled Digital Thread workflows and their impact.
• Explore how AI can improve knowledge reuse, workflow automation, decision support, and engineering productivity.

Connaissances

Strong communication & presentation

Cross-functional collaboration

Problem solving

AI familiarity

Formation

Engineering or related technical degree

Outils

Simcenter

Teamcenter

Description du poste

Siemens Digital Industries Software is seeking an engineer to drive Digital Thread workflows across product lifecycles. You will analyze data flows, interoperability, and traceability to unlock business value and scalability.

The role emphasizes AI-enabled innovation, cross-disciplinary collaboration, and technical demonstrations to influence strategy and roadmap. Hybrid work model with global teams is expected.