Senior Manager Digitalization, Analytics & Artificial Intelligence; f/m/div
Verfasst am 2026-09-23
-
IT/Informationstechnik
Künstliche Intelligenz Ingenieur, Data Science Manager, IT Projekt Manager, Änderungsmanagement
Shape the future of manufacturing through Digitalization, Analytics and Artificial & Intelligence. As Senior Manager Digitalization, Analytics & Artificial Intelligence, you will lead a team of experts, drive strategic transformation initiatives, and unlock business value through scalable digital and AI-driven solutions.
Your roleKey responsibilities in your new role
- Lead and develop a high-performing team of up to 5 experts in Digitalization, Advanced Analytics, and AI, with strong focus on execution excellence, rapid delivery, accountability, and measurable business value creation
- Define and drive the local digitalization and AI target picture, roadmap, and use case portfolio—from ideation and prioritization to implementation, scaling, lifecycle management, and value harvesting, in alignment with site priorities and cross-site strategy
- Act as the local single point of contact for digitalization demand management, proactively identifying innovative use cases and translating business needs into scalable digital, analytics, ML/AI, and software solutions
- Deliver and scale cross-site solutions while ensuring operational excellence through KPI-driven management, efficient processes, and sustainable governance frameworks
- Serve as trusted advisor and key stakeholder across all organizational levels, driving strong collaboration with site management, rollout organizations, cross-site teams, and external partners
- Lead resource, project, and budget planning with a strong sense of urgency, solution-oriented mindset, and commitment to achieving ambitious operational and productivity targets
- Drive cultural transformation toward data-driven decision-making and represent both the local site and the team in strategic cross-site initiatives and technology domains
You combine strategic thinking with a strong execution mindset and thrive in complex stakeholder environments. You are passionate about turning data into business value and empowering teams to achieve ambitious goals. With your leadership skills, entrepreneurial spirit, and customer-centric approach, you inspire others to embark on digital transformation and data-driven decision making. You take ownership, think beyond individual solutions, and focus on creating sustainable impact at scale.
Qualificationsand skills to help you succeed
- Master’s degree in Engineering, Computer Science, Data Science, or a related technical field combined with a strong entrepreneurial and value-oriented mindset
- Proven leadership experience in semiconductor manufacturing, ideally within digital transformation, advanced analytics, AI, or smart manufacturing environments
- Strong ability to combine the capabilities of Team Lead, Project Manager, Product Owner, and Scrum Master with deep expertise in Digitalization, Software Engineering, Data Analytics, ML/AI, and GenAI
- Track record of delivering and scaling enterprise digitalization and AI solutions (software products and platforms) with measurable business impact and end-to-end lifecycle ownership
- Deep knowledge and proven experience in working with modern software, data and AI ecosystems, visualization solutions, interactive application, including scalable architectures and Dev Ops/MLOps/LLMOps practices, experience delivering GenAI applications is a plus
- Strong experience in agile delivery environments, stakeholder management, and communication with senior management and cross-functional organizations
- Proficiency with modern collaboration and development tools such as JIRA, Confluence, Git Lab, and Copilot
- Fluent in English and German
As a global leader in semiconductor solutions in power systems and IoT, Infineon enables game-changing solutions for green…
(Wenn dieser Job tatsächlich in Ihrem Zuständigkeitsbereich liegt, verwenden Sie möglicherweise einen Proxy oder VPN, um auf diese Seite zuzugreifen. Um weiterzukommen, sollten Sie Ihre Verbindung zu einem anderen Mobilgerät oder PC wechseln).