VP, Knowledge Management - C13 - DUBLIN

For additional information, please review . VP, Knowledge Management - C13 - DUBLIN Knowledge Discovery & Acquisition - data and knowledge inventory mapping including internal tacit knowledge harvesting from SMEs Knowledge Structuring & Ontology Management - define standard taxonomies and ontologies. Metadata management by tagging knowledge with consistent metadata to improve AI discoverability and retrieval Content & Knowledge Curation - governance and version control. Auto tagging and summarization. De-duplication and quality assurance of knowledge Knowledge Sharing & Collaboration - provide intelligent knowledge portals with AI assisted recommendations and collaborative tools to support peer-to-peer knowledge exchange. Facilitate cross-domain knowledge exchange between repositories, collaboration tools and business units Knowledge Access and Retrieval Optimization - enable AI-enhanced search to understand user intent, synonyms and financial context and that can personalize recommendations. APIs for knowledge access, allowing AI systems to query Data lineage & Explainability - track where knowledge comes from, who has changed it and why, essential for AI transparency and auditability Access Controls & Permissions - compliance aligned KM policies e.g. GDPR, MiFID II etc AI Training & Feedback Loops - curating AI training using KM processes, knowledge informed fine tuning. Human in the loop feedback to enhance underlying knowledge assets Change Management & Corporate Culture - help validate AI outputs. KM Champions and Networks to support adoption, training and awareness 3 - 5 years of experience in knowledge management, ideally in a large global financial organization BSc or MSc degree in Finance or related subjects would be preferred Proven experience in delivering project outcomes through dealing with multiple stakeholders and teams across the firm Strong interpersonal and relationship-building skills with the ability to address different priorities from teams Experience in combining knowledge management and AI would be a big bonus Working knowledge of SQL, visualization and BI tools Strong organizational and project management skills, including a thorough understanding of how to interpret business requirements and turn them into actionable plans to executions Excellent communication skills. Proven ability to explain technical content to non-technical audience Great attention to detail is a must