Jobs at Fresenius Medical Care

Fresenius Medical Care is the premier health care company focused on delivering the highest quality of care to people with renal and other chronic conditions. Through its global network of more than 3,400 dialysis clinics and acute care centers, outpatient cardiac and vascular labs, it provides coordinated health care services to chronically ill patients. As the world's only vertically integrated renal company, it also offers specialty pharmacy and laboratory services, as well as manufacturing and distributing dialysis equipment, disposable products and renal pharmaceuticals.

Purpose & Overall Relevance for the Organization: The role contributes to the advancement of AI capabilities within Finance by combining strong finance expertise with foundational knowledge of data, modelling, and governance. The incumbent acts as a bridge between Finance and IT by translating business requirements, including use cases and process models, into clear and actionable input for technical teams, while supporting the Head of Finance Data & Analytics Excellence with sound AI and IT-related expertise.

• AI Strategy, Use Cases & Business Case Development – Partner with Finance leadership to identify, assess, and prioritize AI opportunities. Support the development of business cases and translate business requirements into solution designs in collaboration with IT, Data & Analytics teams.
• AI Solution Design & Process Automation – Design and implement AI-enabled workflows, automation solutions, and AI agents that streamline finance activities such as reconciliations, variance analysis, financial reporting, planning, forecasting, document review, and master data processes.
• Data Preparation & Model Validation – Collaborate with functional experts to validate, cleanse, structure, and prepare datasets for AI solutions. Evaluate AI/ML models to ensure accuracy, stability, performance, explainability, and alignment with business requirements.
• AI Monitoring, Controls & Human Oversight – Support post-deployment monitoring of AI solutions, including failure analysis, anomaly detection, output validation, and continuous improvement. Ensure appropriate human oversight of AI-generated financial insights and recommendations.
• Prompt Engineering & User Enablement – Develop standardized prompts, templates, and best practices that enable Finance users to leverage Generative AI safely, effectively, and consistently across business processes.
• AI-Driven Analytics & Reporting – Integrate AI capabilities into reporting and analytics platforms such as SAP Analytics Cloud, SAP Datasphere, Microsoft Fabric, Power BI, and other BI tools to enhance financial insights, forecasting, and decision-making.
• Finance Process Transformation – Identify opportunities to improve efficiency, quality, and controls through AI-enabled process redesign, automation, and standardization across Finance functions.
• Risk, Governance & Compliance – Ensure AI solutions comply with financial controls, internal control systems (ICS), responsible AI principles, data privacy requirements, and applicable regulatory frameworks (e.g., EU AI Act). Support audit readiness and documentation requirements.
• Stakeholder Management & Change Leadership – Act as a trusted advisor to Finance stakeholders, facilitate workshops, communicate AI concepts to business audiences, and drive user adoption through training and change management activities.
• Project Management & PMO Support – Coordinate cross-functional AI initiatives, manage stakeholder communications, prepare project governance materials, facilitate project meetings, track deliverables, and support successful execution of Finance AI programs.

• Advanced degree or studies in economics, information technology, or a related field
• At least 5 years of professional experience in FP&A, Accounting, IT, or related areas
• Solid understanding of Accounting and FP&A processes, as well as the broader finance operating model
• Understanding of machine learning fundamentals, including key limitations such as hallucinations, bias, and training cutoffs
• Good understanding of process design, data analysis, and improvement techniques; business process management experience is an advantage
• Project management experience; PMP, Agile, or other project management certifications or training are an advantage
• Structured and systematic working style, strong numerical aptitude, and analytical strength
• Persistent and effective in planning and execution
• Ability to work effectively across cultures
• Strategic and systems-oriented thinking
• Ability to quickly understand and adapt to complex business contexts
• Strong team collaboration skills
• Quality- and results-driven working style with a solution-oriented mindset
• Ability to prioritize effectively and adapt to changing conditions
• Ability to perform under pressure with a high level of commitment
• Strong communication skills
• Proficiency with Microsoft Office applications, especially Excel and Power BI
• Basic understanding of ERP systems, particularly SAP FI/CO
• Fluent written and spoken English
• Willingness and flexibility to travel as needed