NMS Sourcing Business Partner | Early Career Program
Ericsson AB · Stockholm
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- Company
- Ericsson AB
- Location
- Stockholm
- Employment type
- Full-time
- Posted
- October 19, 2026
About this job
You’ll rotate across Sales, Commercial Management, Sourcing, Strategy, Supply, Finance and more. Working on priorities that directly influence results and learning how different parts of the business connect to create value. This isn’t a programme where you sit on the sidelines. From day one, you’re hired into a role, trusted to contribute, supported to grow, and expected to make an impact. Find out more about the Early Career program here. Your journey within the Early Career Program will start as a NMS Sourcing Business Partner. What you will do You will join the NMS Sourcing Expert Unit, part of Ericsson’s Network & Managed Services (NMS) Sourcing organization. The team brings together expertise in network and managed services sourcing and works with business teams, suppliers and market areas to develop competitive, cost-effective and compliant sourcing solutions. The team combines strategic sourcing with practical problem-solving and cross-functional collaboration. In this graduate role, you will help explore how AI and data can simplify work, improve processes and support better sourcing decisions. Identify and prioritize high-value AI use cases across cost and spend analysis, productification, process improvement and management reporting. Assess how AI can connect data, insights and workflows to streamline activities and improve sourcing decisions Work with stakeholders across Ericsson to test and responsibly implement selected AI solutions. Develop practical AI concepts, prototypes, agentic workflows and reusable playbooks that can be scaled across the organization Support the development of AI competence within Sourcing communities through demonstration, knowledge sharing, and hands-on enablement. The skills you bring: A practical interest in generative AI, AI agents, automation and digital product development. Experience or academic exposure to data analysis, process improvement, prototyping, prompt design or translating business needs into digital solutions. Strong analytical skills and the ability to structure complex or ambiguous problems. Open-minded, with a willingness to consider new perspectives and approaches. Structured and able to organize ideas, information and tasks effectively. Curious and explorative, with an interest in testing new possibilities.
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