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Siemens Healthineers
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SysML Data Analyst – Digital Engineering

SysML Data Analyst – Digital Engineering

Siemens Healthineers

12 years

5 - 7 Lacs

Bengaluru

Posted:4 hours ago| Platform: GlassDoor logo

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Skills Required

sysml data engineering support library ai usability migration model uml magicdraw siemens integration evaluation workflow design learning mechatronics plm ml development collaboration ux ui cutting engagement

Work Mode

On-site

Job Type

Part Time

Job Description

We are seeking a SysML Data Analyst to support our transition to SysML v2-based system modelling as part of our Digital Engineering transformation. This role will play a foundational part in shaping the future modelling ecosystem by developing a SysMLv2-compliant library from our existing DSL (Domain-Specific Language) and enhancing user experience through guided, AI-augmented modelling workflows.

You will work at the intersection of systems modelling, data abstraction, and AI-assisted usability, helping build the groundwork for future modelling productivity tools like an AI Copilot for modelling.

Key Responsibilities

SysMLv2 Migration & Modelling Support

Develop a SysMLv2 library that reflects the existing DSL data model, currently implemented in UML using MagicDraw.
Support the transition of modelling tools (e.g., from MagicDraw to Siemens System Modeller or IBM Rhapsody SE) and their integration into Teamcenter (evaluation in progress).
Ensure semantic and functional alignment of DSL with tool agnostic SysMLv2 language.

User Experience & Workflow Design

Implement user-friendly, guided modelling workflows to simplify and streamline system modelling.
Introduce modelling of DSL users’ context, interactions, workflows and create abstractions that make modelling more intuitive for end users.
Collaborate with domain experts to understand pain points and define actionable usability improvements.

AI-Driven Productivity Tools

Contribute to the design and evolution of AI-assisted modelling support, such as a Modelling Copilot.
Help build foundational datasets and define patterns that AI systems can learn from to offer real-time modelling suggestions and guidance.
Work with data scientists and AI engineers to define feedback loops and learning mechanisms based on user interactions.

Required Qualifications

Bachelor’s or Master’s degree in Computer Science, Mechatronics, or related field.
12+ years Industry experience with minimum 5 years hands-on experience with SysML, UML, and system modelling tools such as MagicDraw, Cameo, Rhapsody, or Siemens System Modeller.
Strong understanding of model-based systems engineering (MBSE) principles and DSL-based modelling.
Familiarity with SysMLv2 concepts, structure, and its advantages over UML-based approaches.
Knowledge of Teamcenter, model repositories, and integration between modelling tools and PLM systems is a plus.

Preferred Qualifications

Experience in AI/ML-based tool development or collaboration with AI teams to deliver smart, learning-enabled features.
Exposure to usability design, workflow simplification, or UX/UI patterns in system modelling environments.
Ability to communicate modelling principles and usability enhancements effectively to both technical and non-technical stakeholders.

What We Offer

Opportunity to work at the cutting edge of Digital Engineering and AI-assisted modelling.
High visibility and strategic importance in shaping future modelling practices.
Flexible engagement model with the potential to expand based on 2026–2027 program needs.

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