Digital Business Analyst - Regensburg, Deutschland - Arbeitgeber aus der Region

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    Beschreibung

    Are you ready to own, operate and redefine global AAI solutions? Join us to drive the evolution of Artificial Intelligence, Machine Learning and Data Analytics while elevating capabilities across our manufacturing network.

    Your know-how will shape the future of analytics and innovation at Infineon.
    In your new role you will:

    Manage a global team of experts in the area of Advanced Analytics
    Define and drive the vision, strategy, target setting, and roadmap planning for the team
    Collaborate with intercultural teams from other global Infineon sites and local/global product engineering users & representatives from all levels
    Act as a first-contact business analyst towards global Key Accounts & Stakeholders to understand business requirements and delegate them into the teams
    Drive resource planning, organizational topics, and increase the level of standardization balanced with a cost-optimized project portfolio
    Get the team transformed to DevOps and Agile Processes, staffed and working according expectations effectively and efficiently
    Contribute to team success by applying leadership skills, fostering development measures for personal and team growth, and participating in corporate AI/ML initiatives

    Your ProfileYou understand the key factors for successful innovation and are adept at fostering the necessary conditions while being fully aware of the strengths, development needs, and motivational drivers of your team members, deploying them according to their competences within your team.

    You are best equipped for this task if you have:

    A University/Master degree in computer science, information technology, or other technical discipline
    Minimum 8 years of relevant job experience in digitalization, application management and software development (incl. agile, DevOps)
    Strong technical and people leadership skills
    In-depth knowledge of Factory Integration Systems' architecture and technical aspects
    Proficiency in AI/ML, statistical, and advanced analytics methods/tools, as well as semiconductor manufacturing processes
    Excellent communication skills in English, with German language proficiency as a plus