Data engineer Jobs in Herzogenaurach

Job Requirements Do you want to help create the future of healthcare? Our name, Siemens Healthineers, was selected to honor our people who dedicate their energy and passion to this cause. It reflects their pioneering spirit combined with our long history of engineering in the ever-evolving healthcare industry. We offer you a flexible and dynamic environment with opportunities to go beyond your comfort zone in order to grow personally and professionally. Sounds interesting? Then come and join our global team as Business Owner - Machine Data & Predictive Intelligence (f/m/d). Choose the best place for your work - Within the scope of this position, it is possible, in consultation with your manager, to work mobile (within Germany) up to an average volume of 60% of the respective working hours. Even more flexibility? Mobile working from abroad is possible for up to 30 days a year under certain conditions and in selected countries. Your tasks and responsibilities: * 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. Your qualifications and experience: * 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. Our global team: Siemens Healthineers is a leading global medical technology company. 74,000 dedicated colleagues in over 70 countries are driven to shape the future of healthcare. An estimated 5 million patients across the globe benefit every day from our innovative technologies and services in the areas of diagnostic and therapeutic imaging, laboratory diagnostics and molecular medicine, as well as digital health and enterprise services. Our culture: Our culture embraces different perspectives, open debate, and the will to challenge convention. Change is a constant aspect of our work. We aspire to lead the change in our industry rather than just react to it. That's why we invite you to take on new challenges, test your ideas, and celebrate success. Check our Careers Site at https://careers.siemens-healthineers.com/global/en As an equal opportunity employer, we welcome applications from individuals with disabilities. We care about your data privacy and take compliance with GDPR as well as other data protection legislation seriously. For this reason, we ask you not to send us your CV or resume by email. We ask instead that you create a profile in our talent community where you can upload your CV. Setting up a profile lets us know you are interested in career opportunities with us and makes it easy for us to send you an alert when relevant positions become open. Click here to get started. To all recruitment agencies: Siemens Healthineers' recruitment is internally managed, with external support permitted only when a qualified supplier has established a formal contract with us. Unsolicited candidate submissions and referrals, absent a current supplier contract, do not establish consent and are ineligible for fees. We delete and destroy unsolicited information, thus, would recommend you refrain from any such practices. Your adherence to our policies is appreciated.