The Role
Develops and governs AI capabilities for Finance by identifying use cases, designing automation and AI-enabled workflows, validating data and models, integrating AI with analytics platforms, and ensuring controls, compliance, monitoring, and human oversight. The role bridges Finance and IT, supports transformation programs, creates prompts and user enablement materials, manages stakeholders, and coordinates project governance. It requires finance process expertise, machine learning knowledge, analytics proficiency, project management skills, and willingness to travel.
Summary Generated by Built In
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.
Key Responsibilities
- 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.
Knowledge, Skills and Abilities
- 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 adaZpt 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
Skills Required
- 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 and the broader finance operating model
- Understanding of machine learning fundamentals, including hallucinations, bias, and training cutoffs
- Understanding of process design, data analysis, and process improvement techniques
- Project management experience
- PMP, Agile, or other project management certification or training
- Strong numerical aptitude and analytical skills
- Strategic, systems-oriented, structured, and systematic working style
- Ability to collaborate effectively across cultures and teams
- Ability to adapt quickly to complex business contexts and changing conditions
- Strong communication skills
- Proficiency with Microsoft Office, 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
Fresenius Medical Care Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Fresenius Medical Care and has not been reviewed or approved by Fresenius Medical Care.
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Leave & Time Off Breadth — PTO is described as ample for 3x12-hour shifts and is complemented by paid caregiver leave, holidays, and sick time. This range of time-off options provides meaningful flexibility for many roles.
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Healthcare Strength — Medical coverage includes 100% preventive care, office-visit copays, prescription coverage, and disability insurance, while dental covers preventive, basic, and major restorative services up to an annual limit. Vision benefits are also available.
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Wellbeing & Lifestyle Benefits — Wellness programs feature the Rally app with fitness rewards, virtual therapy, and an Employee Assistance Program with free counseling. Additional offerings like digital physical therapy and expert medical opinions broaden holistic support.
Fresenius Medical Care Insights
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The Company
What We Do
Fresenius Medical Care is the world’s leading provider of products and services for individuals with renal diseases. We aim to create a future worth living for chronically and critically ill patients – worldwide and every day. Thanks to our decades of experience in dialysis, our innovative research and our value-based care approach, we can help them to enjoy the very best quality of life. Our portfolio encompasses a comprehensive range of high-quality health care products and services as well as various dialysis treatment options for both in-center and home dialysis that are individually tailored to our patients’ needs.
