Information architecture fundamentals (structuring, labeling, navigation, and findability)
Taxonomy and tagging design (clear categories, tags, and rules people can follow)
Metadata strategy (what fields exist, definitions, ownership, and consistent use)
Content modeling (defining reusable content types, fields, and relationships)
Data modeling basics and working knowledge of analytics/BI needs
Search experience and search tuning requirements (how content/data supports good results)
Governance and operating models (roles, workflows, decision rights, and standards)
Systems thinking (understanding how tools, processes, and people interact end-to-end)
Stakeholder leadership and influence (driving alignment without direct authority)
Communication skills (turning complex structures into clear guidance and stories)
Change management (helping teams adopt new standards and behaviors)
Privacy, compliance, and risk awareness (handling sensitive data and regulated content)