Senior Manager AI & Data Analytics - Collaboration (f/m/d)

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.
• Proven 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 skills (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 including a 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.

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