SAP Fioneer
AI Knowledge Manager (m/f/d) - Banking
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AI Knowledge Manager (m/f/d)
As an AI Knowledge Manager (m/f/d), you will be responsible for the quality and governance of the knowledge powering SAP Fioneer's AI solutions for Banking. Working at the intersection of banking domain expertise, knowledge management, and Generative AI, you will ensure that our AI applications provide accurate, reliable, and trustworthy answers by continuously improving the underlying semantic knowledge layer. You will collaborate closely with product experts, consultants, and AI engineers to transform banking expertise into structured, scalable knowledge assets.
Key Responsibilities
- Own and continuously improve the semantic knowledge layer that powers SAP Fioneer's Banking AI solutions.
- Structure, curate, and enrich product knowledge using consistent metadata to ensure reliable retrieval and high-quality AI responses.
- Identify knowledge gaps and close them by creating documentation, commissioning content, or eliciting expertise from subject matter experts.
- Define and maintain strategies for integrating project-specific knowledge into AI solutions, including golden sources, grounding content, and reusable knowledge assets.
- Analyze low-quality AI responses, identify their root causes (e.g., missing content, retrieval issues, metadata inconsistencies), and implement sustainable improvements.
- Build, maintain, and continuously expand evaluation datasets ("golden datasets") to measure and improve AI answer quality.
- Define and maintain content governance standards, including classification, access management, legal review, and content lifecycle management.
- Design feedback loops that transform user interactions into structured knowledge improvements in close collaboration with AI engineers.
- Partner with Banking experts, Product Management, Consulting, and AI Engineering to continuously improve the quality of our AI-powered solutions.
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Requirements
- Domain knowledge: a basic understanding of banking processes and of our documentation landscape (product handbooks, IMG documentation, configuration material), sufficient to judge independently whether an answer is substantively correct.
- AI and RAG literacy: enough understanding of how retrieval-augmented generation works to judge where AI fits and why a given answer went wrong, without building the system.
- Analytical QA mindset: comfortable working with evaluation datasets and able to trace weak answers back to their content causes in a structured, evidence-based way.
- Professional background: in topic-related fields such as bank domain knowledge management, domain business analyst with SAP/banking background, or a project / product-facing role within banking.
- Ability to advance the quality: of our solution to the next level.
- Familiarity with Confluence and SharePoint: based content landscapes.
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Benefits
We offer a comprehensive benefits package that includes occupational pension provisions, support for health and wellbeing, various mobility options like bike leasing and transportation allowances, as well as additional perks such as celebration rewards, meal programs, jubilee recognition, and relocation reimbursement.
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