AI Portfolio Manager 'Equipment Intelligence' at Backend (f/m/div)

We are looking for a passionate and experienced AI Portfolio Manager for Equipment Intelligence (f/m/div) to join our growing AI organization. In this strategic yet hands-on role, you will own and drive the Equipment Intelligence AI portfolio across our global Backend manufacturing sites — from identifying high-impact use cases to scaling proven solutions globally. You will work at the intersection of technology, operations, and strategy, in close collaboration with data science experts, site leads, and fellow AI portfolio managers to deliver measurable value through cutting-edge equipment intelligence solutions. Your Role Key responsibilities in your new role * Own the Equipment Intelligence AI portfolio across all Backend sites, including full accountability for implemented solutions and generated savings * Develop and maintain a strategic roadmap of equipment intelligence use cases -- including anomaly detection, equipment health monitoring, predictive maintenance, virtual metrology, Run-to-Run control, process recipe optimization, spare parts demand forecasting, and process optimization -- specifically designed for scalability across multiple production sites * Align with AI Site Leads to define and execute structured roll-out plans, ensuring smooth deployment and adoption on the shopfloor * Govern the entire use case portfolio -- from ideation and business case validation through to implementation and performance tracking * Initiate and drive scaling projects, replicating successful solutions across sites to maximize impact * Collaborate with Data Science expert groups to shape product and technology roadmaps, bringing operational context to technical development * Partner with other AI Sub-Portfolio Managers to co-develop new methods, tools, and best practices that strengthen the broader AI organization Your Profile Qualifications and skills to help you succeed * 8+ years of professional experience, with a track record of delivering results in industrial or manufacturing environments * Close-to-shopfloor experience at a backend production site -- for example, as a Unit Process Engineer, Process Development Engineer, Equipment Engineering, or similar operations role -- giving you a strong understanding of real-world manufacturing challenges * Hands-on experience with AI-based equipment intelligence solutions, including familiarity with one or more of the following application areas: * Sensor data analytics and anomaly detection * Condition monitoring and predictive maintenance * Virtual metrology and quality prediction * Run-to-Run (R2R) control and process recipe optimization * Spare parts demand forecasting and maintenance planning * Master's or PhD degree in engineering, data science, computer science, industrial engineering, or a related scientific or technical field * Strong strategic thinking combined with a pragmatic, execution-focused approach * Ability to translate business needs into technical requirements and vice versa * Excellent stakeholder management and communication skills -- equally comfortable presenting to senior leadership and discussing technical challenges with data scientists or engineers * Experience in project or portfolio management, including prioritization and business case development * Collaborative team player who thrives in a cross-functional, global environment Contact: Franziska Mantei, LinkedIn #WeAreIn for driving decarbonization and digitalization. As a global leader in semiconductor solutions in power systems and IoT, Infineon enables game-changing solutions for green and efficient energy, clean and safe mobility, as well as smart and secure IoT. Together, we drive innovation and customer success, while caring for our people and empowering them to reach ambitious goals. Be a part of making life easier, safer and greener. Are you in? We are on a journey to create the best Infineon for everyone. This means we embrace diversity and inclusion and welcome everyone for who they are. At Infineon, we offer a working environment characterized by trust, openness, respect and tolerance and are committed to give all applicants and employees equal opportunities. We base our recruiting decisions on the applicant´s experience and skills. Learn more about our various contact channels. We look forward to receiving your resume, even if you do not entirely meet all the requirements of the job posting. Please let your recruiter know if they need to pay special attention to something in order to enable your participation in the interview process. Click here for more information about Diversity & Inclusion at Infineon.