Responsibilities: Business Process Optimization: Lead the design and implementation of AI and data analytics solutions to optimize key internal business processes, including supply chain management, inventory, procurement, financial reporting, and HR processes. Solution Design & Architecture: Develop and architect end-to-end solutions for automating workflows, improving operational efficiency, and enhancing data analytics capabilities across departments. Collaboration: Partner with business stakeholders to identify pain points, define business requirements, and develop technical specifications for AI-driven solutions that improve business operations. Data Strategy & Analytics: Design and deploy data pipelines and analytical tools to support decision-making, business forecasting, and performance monitoring. Continuous Improvement: Continuously monitor and assess the effectiveness of implemented solutions, recommending improvements and innovations based on emerging technologies in AI, data science, and process automation. Qualifications: Bachelor’s or master’s degree in computer science, Engineering, Data Science or a related field. Profund experience in solution architecture with a focus on AI, machine learning, and data analytics. Proven experience in designing and implementing solutions to optimize internal business processes in industries like manufacturing, finance, or healthcare. Strong understanding of business process automation, workflow optimization, and data analytics tools. Experience with enterprise resource planning (ERP) systems, business intelligence tools, and cloud platforms. Expertise in AI, machine learning, data analytics, and cloud technologies (e.g., AWS, Azure). Proficiency in process automation (e.g., RPA, IPA) and data visualization tools (e.g., Power BI, Tableau). Knowledge of data governance, ERP systems (e.g., SAP, Oracle), and best practices in data management. Strong problem-solving, communication, and stakeholder management skills, with a strategic mindset to align technical solutions with business goals. Very good German skill (at least level C1) Benefits: Flexible working conditions, such as flexible working hours and mobile working Attractive ways of combining work and family life, e.g. Childcare subsidy 30 days paid leave per year, plus special leave for exceptional life events as well as vacation pay and special annual payment according to collective agreement Company pension plan with attractive employer contribution incl. Matching model for deferred compensation Plenty of parking spaces, canteen with café bar and ongoing offers in the employee shop Access to over 6000 fitness and yoga studios, swimming pools as well as Crossfit and bouldering halls (EGYM Wellpass) Various health and fitness offers, e.g. Skin cancer screenings, online courses for mental health, massage offers, yoga during lunch break etc. Job Bike Leasing