AI Knowledge Manager
S
SAP FioneerBanking / AI
Germany. United Kingdom. AustriaFull-Time
Salary not disclosed
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Job Details
- Required Skills
- Business AnalysisSAPSharePointQuality AssuranceConfluence
Requirements
- Basic understanding of banking processes and documentation landscapes (product handbooks, IMG documentation, configuration material).
- Understanding of retrieval-augmented generation (RAG) concepts.
- Analytical QA mindset with experience working with evaluation datasets.
- Ability to trace weak AI answers back to content causes in a structured, evidence-based way.
- Professional background in bank domain knowledge management, business analysis with SAP/banking experience, or project/product-facing roles in banking.
- Ability to advance the quality of software solutions.
- Familiarity with Confluence and SharePoint based content landscapes.
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.
- Analyze low-quality AI responses, identify root causes, and implement sustainable improvements.
- Build, maintain, and expand evaluation datasets (golden datasets) to measure and improve AI answer quality.
- Define and maintain content governance standards, including classification, access management, and lifecycle management.
- Design feedback loops that transform user interactions into structured knowledge improvements in collaboration with AI engineers.
- Partner with Banking experts, Product Management, and Consulting to improve AI-powered solutions.
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