Jonathan Malchow in a library with shelves behind

About Me

From operations leader to data and business analyst, data-architecture practitioner, and metadata specialist — driven by a lifelong belief that access to the right information at the right time changes lives, decisions, and outcomes.

What led me here

Libraries were my first refuge. Growing up, the Lake County Public Library offered a sense of belonging and possibility that shaped how I see the world. After a decade leading operations and teams — building reporting systems, KPI dashboards, and data-driven decision frameworks — I returned to academic research at Harvard Extension School and encountered a turning point: while studying the Montagu case in England, I discovered that the key court transcript had rarely been consulted because it was not digitized or easily accessible. That gap did not just complicate the history — it limited who could participate in telling it. That experience pushed me toward library and information science, where I found that the questions I had been solving informally — how do we structure data, surface the right metrics, build governance frameworks that scale, and design systems where information stays findable, interoperable, and reusable — are entire disciplines.

Three tracks, one toolkit

I work across three closely related disciplines, and each draws on the same underlying foundation of structured data, classification, reporting, and governance.

Data and business analytics. A decade of building KPI dashboards, financial reports, variance analysis, and data-driven decision systems. Hands-on with SQL, Python, advanced Excel (Pivot Tables, VLOOKUP / XLOOKUP, Power Query), relational database design, and rigorous statistical methodology — including a PRISMA systematic review across 892 papers and 7 academic databases co‑authored with the Simmons HCI/VIS Research Group.

Data architecture, information governance, and knowledge management. Enterprise platform selection and full implementation, asset classification schemas, role-based access controls, governance frameworks, and compliance reporting. The MLIS lens turns operations work into formal information architecture: data modeling, master data management concepts, and stewardship across the lifecycle.

Metadata, ontology, and taxonomy. Metadata schema design, controlled vocabularies, authority control, faceted classification, RDF / XSLT crosswalking, and the broader semantic layer. Standards and vocabularies include Dublin Core, CDWA-Lite, PREMIS, EAD3 / DACS, MODS, LCSH, LCNAF, AAT, ULAN, TGN, RDF, SKOS, and ISO 25964‑1. In April 2026 I attended Taxonomy Boot Camp London and hold the Certificate of Attendance, with direct exposure to semantic interoperability, knowledge graphs, taxonomy management platforms (Synaptica, PoolParty, Smartlogic), structured content architectures, LLM‑enriched taxonomy workflows, cognitive graphs, neuro‑symbolic AI, and the role of structured knowledge in retrieval‑augmented generation.

What I bring from past roles

My background as a director of operations taught me to lead teams, manage complex portfolios, and build evidence-based processes. At Property Management One I governed a portfolio of 140 properties and 2,200 units, established compliance and reporting frameworks for HOA boards and owners, and led the enterprise selection and full implementation of Appfolio — defining the data architecture, asset classification schemas, role-based access controls, and real-time performance dashboards that unified reporting across the portfolio. At MindinMotion I drove $500,000 in annual revenue across wholesale and e-commerce channels by analyzing product performance by category, channel, and SKU; built the business case for a Shopify-to-QuickBooks platform migration including labor cost analysis; led the migration; and recovered 40 hours per week of operational labor. At Forever 21 I increased revenue 30 percent in six months through traffic, conversion, and Units-per-Transaction analysis — outperforming the comp set on every reported KPI.

What this means for the analyst track: I have actually owned the P&L, the platform, and the stakeholders behind the dashboards. What it means for the architecture track: I have stood up enterprise platforms in production and lived with them for years. What it means for the metadata track: I have designed classification systems that real businesses depend on, and I now bring graduate-level information-organization training to that work.

Availability and authorization

Open to roles across three tracks: (1) Data Analyst, Business Analyst, Operations Analyst, BI Analyst, Reporting Analyst; (2) Data Architecture, Information Governance, Knowledge Management, Data Stewardship, Information Architecture; (3) Metadata Specialist, Taxonomist, Ontologist. Authorized to work in the United States and across the European Union (permanent residency, Spain — no sponsorship required). Bilingual English / Spanish.

Explore my portfolio View résumés