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

at  Hartmann

At HARTMANN, we’re all in to help, care, protect and grow. We support healthcare professionals, that they can focus on what really matters: to positively impact people´s life. We realize solutions that make a difference. And with your commitment you can grow on your job every day. At HARTMANN we believe in the difference you can make.
Join our team as

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)

• 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