As an **AI & Data Scientist for Multi‑Dimensional Commodity Management** (MDCM) at Siemens, you play a pivotal role in shaping the next generation of global supply‑chain performance. You design and scale a unified Data and Application framework that elevates transparency, unlocks advanced analytics, integrates cutting‑edge Artificial Intelligence, and increasingly incorporates Agentic‑AI capabilities.MDCM is Siemens’ strategic approach to transforming material and supplier management across three critical dimensions — multi‑tier, multi‑year, and multi‑region — turning complexity into orchestrated intelligence. Your work enables this strategy to become a scalable, global operating model that drives measurable productivity, strengthens sustainability, and builds long‑term resilience across our supply chain worldwide.**As part of our team, you will have**

- 2 to 3 days of mobile working per week as a global standard- Development opportunities for both personal and professional growth - 30 leave days and a variety of flexible working models that allow time off for yourself and your family - Share matching programs to become a shareholder of Siemens AG- Appealing Siemens pension benefits

Since each of over 300,000 team members feels that other benefits are particularly important, and we cannot list our entire benefit portfolio here, you can find more information [here](https://www.siemens.com/de/en/company/jobs/benefits-what-we-offer.html).
The individual benefits are subject to regulatory, contractual, or corporate conditions.


**You’ll create impact by**
- **Build the AI & Data strategy for MDCM**- Define, evolve, and execute the global AI & Data vision for end to end MDCM, aligned with SCM PD priorities and focused on measurable business impact.- Drive cross‑functional stakeholder alignment, ensuring that business needs are clearly understood, structured, prioritized, and translated into execution‑ready concepts.- Integrate Agentic‑AI concepts into MDCM’s strategic roadmap, enabling autonomous, goal‑driven AI agents to support data processing, analytics, and decision workflows across multi‑tier, multi‑year, and multi‑region commodity management.

- **Establish infrastructure**- Architect and operationalize data integration and AI‑driven data‑transformation processes to generate high‑quality insights that enable transparency, predictive analysis, and data‑driven decision‑making across the MDCM ecosystem.- Build the foundations for Agentic‑AI adoption, including scalable data pipelines, tool/API interfaces, and modular components that allow autonomous AI agents to interact reliably with MDCM systems.- Optimize integration with existing systems and applications, improving data consistency and end‑to‑end process reliability across pooling material data.- Ensure compliance with Siemens standards for data security, governance, and digitalization trends

- **Provide application support**- Create training material and conduct trainings- Enable stakeholders to use data insights - Improve system usability (e.g.: gather requirements, support needs) for stakeholders


**This is how you'll win us over**

- **Education:** A master’s degree in IT, Data Science, Computer Science, Engineering or a related field - **Experience & Skills:**- Many years of experience in IT system architecture, material data management, Artificial Intelligence and and emerging Agentic AI paradigms in complex enterprise environments AI paradigms- Strong expertise in database design (e.g. Snowflake, AWS), system integration, and digital process optimization- Strong agile foundation incl. SCRUM Master, Agile Coach or other agile certification- Hands-on experience with supply chain management systems, ERP and PDM platforms, and advanced analytics tools- Ability to lead with expertise and collaborate across functions, actively contributing to Siemens’ and SCM PD’s digital transformation agenda across a globally connected organization- Clear, impactful communication skills, with the ability to influence, align, and engage diverse stakeholder groups.

- **Ways of working:**- Ability to lead with expertise and collaborate across functions, actively contributing to Siemens’ and SCM PD’s digital transformation agenda across a globally connected organization- Strategic thinking and acting with an enterprise-first mindset and connecting complex organizational dots - Supportive and collaborative attitude, fostering cross-functional teamwork- Change management capability to lead and sustain transformation, eager to experiment, go new ways and build something new- Embraces diversity and inclusion in background, perspectives and experiences

- **Languages:** Fluent in English and multiple languages, including German


You are much more than your qualifications, and we believe in the potential of every single candidate. We look forward to getting to know you!
At Siemens, we believe that feeling valued and included is the foundation for doing great work. That’s why we aim to create an inclusive workplace where everyone feels a sense of belonging, and where individual perspectives and experiences are celebrated. Our commitment to fairness and respect extends to every applicant.
As an [equal opportunity employer](http://www.siemens.com/global/en/company/sustainability/social-commitments/belonging.html), we welcome applications from individuals of all backgrounds and particularly encourage applications from persons with disabilities.
**About us**
At Siemens, thousands of processes take place every day where a wide variety of materials or products are ordered, processed, stored and delivered. At **Corporate SCM Pooling Direct**, we drive optimized pooling activities for direct materials by using connections within procurement, improving competition, focusing on sustainability, and intensifying collaboration with the best suppliers in conjunction with our global network and
[www.siemens.de/careers](http://www.siemens.com/de/en/company/jobs.html) – if you would like to find out more about jobs & careers at Siemens.
[FAQ ](http://www.siemens.com/de/de/unternehmen/jobs/karrieren-entdecken.html) – if you need further information on the application process.