> Markdown version of [/jobs/ext/4503151-business-owner-machine-data-predictive-intelligence](https://www.wearedevelopers.com/jobs/ext/4503151-business-owner-machine-data-predictive-intelligence). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Business Owner - Machine Data & Predictive Intelligence - **Company:** Siemens Healthineers - **Location:** Erlangen, Germany - **Contract:** Permanent contract - **Skills:** Data Analysis, System Availability, Information Technology - **Published:** October 31, 2026 - **Apply:** https://www.adzuna.de/details/5945592337 ## About the Role * You have a completed degree in engineering, computer science, data science, business engineering, or a comparable field. * You have many years of leadership experience in a global matrix organization, ideally leading cross-functional teams or other managers, and a proven track record of aligning cross-functional stakeholders towards a common goal with a diplomatic yet decisive attitude. * You have sound understanding of machine data, analytics, digital twin concepts and data-enabled service use cases or proven track-record of fast learning about new technologies and concepts with the motivation to constantly learn more to stay on-top of technological developments. * You have experience in translating customer, service and business needs into structured, solution-free requirements and prioritized roadmaps. * You have strong stakeholder-management and facilitation skills, with confidence engaging CS functions, zones/countries, BLs (R&D, PLM), and senior management. * Experience in Customer Services, Service Engineering, product lifecycle management, R&D or a comparable environment and cross-BL experience is an advantage. Your attributes and skills: * You bring a strong strategic product management mindset and are able to translate a long-term vision into pragmatic, step-by-step implementation. * You have a strong drive and a can-do attitude, organize your work independently, and drive change within the organization through a collaborative approach. * You communicate confidently with colleagues, experts, and executives in an international environment and are fluent in English; good German skills are a plus. Depending on the experience and qualifications background of the applicant, task enrichment into the area above the general pay scale is possible. ## Description * You own the cross-business-line Serviceability Domain "Machine Data, Analytics & Digital Twinning" and are accountable for defining a clear serviceability strategy and roadmap across products. You prioritize features by business value and facilitate its implementation together with the Domain Stakeholders and Business Lines. * You are the Value Element Lead for "Predictive Monitoring" within the Value Stream Availability Protection. In this role, you take end-to-end responsibility for the Value Element throughout the product lifecycle, optimizing processes, digital infrastructure, and resources to deliver outstanding customer value and a best-in-class customer journey. * You manage the Value Element Core Team and the Domain Team and act as functional "manager of managers" for the subteams and subprojects. You will align your activities with the other value stream members and regularly report your progress to the Customer Services (CS) management team. * You continue to shape the strategic vision for the Value Element "Predictive Monitoring" from a customer and internal value generation perspective and drive implementation. For this, you place demands towards the central Lean Portfolio Management or Business Lines and drive alignment with stakeholders within and outside CS. * You are responsible for the business case of the Value Element "Predictive Monitoring" and establish a KPI structure that allows to monitor progress of each subteam. You establish one harmonized Service Engineering perspective on machine data usage, data availability and quality, analytics, predictive insights, digital twin concepts and service intelligence across all Business Lines.