• 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.