Information governance | metadata | AI-ready knowledge systems

I build the structures that make information findable, trustworthy, governable, and ready for use.

I connect governance operations, metadata and taxonomy, archives, analytics, and teaching into practical systems that help people find, trust, and use information.

  • 140property portfolio governed through reporting, policy, access, and stakeholder operations
  • 2,200units supported through board reporting, compliance documentation, and Appfolio workflows
  • MSLISSimmons University, Archives Management, conferred May 2026
  • MIT xPROAdvanced Analytics with AI, ML, and Data Science, enrolled
Jonathan Malchow Vega smiling outdoors

Practice areas

One body of work, three areas of practice

  • Governance

    Board governance, policy implementation, compliance documentation, vendor governance, reporting standards, system-of-record adoption, business continuity, data stewardship, and AI governance framework preparation.

  • Metadata and Knowledge Systems

    Taxonomy, controlled vocabularies, archival description, metadata schemas, linked data concepts, data catalogs, information architecture, semantic layers, LLMs, discovery systems, and AI-ready documentation.

  • Teaching and Research

    Structured, candid, inclusive, practice-based teaching in archives, metadata, digital stewardship, cultural heritage informatics, history, applied computing, information technology, research synthesis, and responsible technology.

Where I add value

Roles where this background is useful now

  • Information and Data Governance

    I help organizations strengthen governance, metadata, taxonomy, data stewardship, analytics, implementation practices, and LLM-ready documentation so information can be trusted and reused.

  • Academic and Teaching Practice

    I am prepared to teach online and practice-based courses in archival description, appraisal, arrangement and access, digital stewardship, metadata, web archiving, cultural heritage informatics, history, historical methods, public history, applied computing, SQL, database management, web technologies, AI literacy, and research writing.