Siemens Digital Industries Software is a leading provider of solutions for the design, simulation, and manufacture of products across many different industries. Formula 1 cars, skyscrapers, ships, space exploration vehicles, and many of the objects we see in our daily lives are being conceived and manufactured using our Product Lifecycle Management (PLM) software.
The Enablement, Data & Documentation Intern is a hands-on learning opportunity designed for students who want to build practical experience in data analysis, business operations, and process documentation. In this role, you will support the Global Sales & Customer Success Learning and Development (GLaD) team by helping keep learner programs organised, data accurate, and processes clearly documented. You will be supported with guidance, examples, and mentorship while working on real projects that have real impact.
This role also introduces you to responsible use of AI tools, with a focus on learning how to ask good questions, check results for accuracy, and use AI as a support tool, not a replacement for effort.
Key responsibilities
Learning & Enablement Support
- Help track learner and certification progress using existing reports, spreadsheets, and tools
- Assist with organising learner follow-ups and program data coordinated through email and other written communication
- Support day-to-day tasks that keep enablement programs running smoothly
Data & Analysis (Guided)
- Work with Excel to review and organise data
- Learn how to spot trends, gaps, or missing information
- Help summarise data findings in a clear, easy-to-understand way
- Practice checking data for accuracy and consistency
Documentation & process basics
- Help create and update process documents, guides, and reference materials
- Organise documentation so it is easy for teams to find and use
- Learn how workflows are documented and improved in a business setting
- Participate in reviewing documents to ensure they are up to date
AI as a tool
- Use AI tools to help with summaries, drafting, and data analysis tasks
- Learn how to write clear prompts and review AI outputs carefully
- Build good habits around accuracy, validation, and critical thinking
Qualifications
Required
- Currently pursuing a bachelor’s or master’s degree in a related field (Business, Analytics, Data, Information Systems, Economics, Communications, Technical Writing, or related discipline)
- Familiarity with Microsoft Office products, especially Excel, PowerPoint, and Outlook
- Clear written communication skills
- Strong attention to detail
- Willingness to learn new tools and concepts
Preferred
- Coursework or academic projects involving data, research, or documentation
- Experience using AI tools for school or productivity
- Interest in learning programs, training, or process improvement
- Knowledge of Microsoft SharePoint, Power Apps, or Power BI
We are Siemens
At Siemens Software, flexibility is how we work—hybrid by default, built on trust and autonomy. Together, 30,000 people across more than 200 countries build technology that shapes the real world. You’ll grow through real projects, strong technical peers, and global mobility, backed by the scale and benefits of an industrial software leader. We’re committed to equality and inclusion, and we hire based on merit, skills, and impact. Bring your curiosity and creativity and help us shape tomorrow!
What we provide
- Step-by-step guidance, mentorship, and coaching
- Hands-on experience with real enablement and certification programs
- Exposure to how data and documentation support global teams
- A supportive environment where questions and learning are encouraged
- Resume-ready experience with transferable professional skills
- Networking opportunities within Siemens
- Potential pathways to future internships or full-time roles
