The Knowledge Management (KM) team is a global function dedicated to building a robust internal knowledge ecosystem.
Requirements
Experience: Minimum of 4–6 years of professional experience in Knowledge Management, Operations, or Data Analysis, with a heavy emphasis on Knowledge Optimisation.
AI Expertise: Hands-on experience with AI tools and a deep understanding of how KM principles (taxonomies, and metadata) power AI discovery.
Prompt Engineering: Proven ability to craft and refine prompts to extract high-quality, structured information from AI models.
Governance Knowledge: Strong understanding of AI Governance, including data lineage, accuracy validation, and the risks associated with LLMs.
Project Leadership: Proven track record of managing multiple complex projects simultaneously in a fast-paced, high-growth environment.
Stakeholder Management: Exceptional communication skills with the ability to influence senior leaders on the strategic importance of KM in the AI era.
Analytical Mindset: Proficiency in data analysis and reporting to drive continuous improvement of knowledge assets.
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