
11 - 50 employees
Founded 2011
💼 Consulting
📦 Logistics
📣 Marketing
Consulting • Logistics • Marketing
Third Iron is a leading software company building innovative information solutions for libraries and their users throughout the world. The company delivers technology that benefits libraries and the researchers they serve, focusing on enhancing the functionality and efficiency of library services.
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11 - 50 employees
Founded 2011
💼 Consulting
📦 Logistics
📣 Marketing
Consulting • Logistics • Marketing
Third Iron is a leading software company building innovative information solutions for libraries and their users throughout the world. The company delivers technology that benefits libraries and the researchers they serve, focusing on enhancing the functionality and efficiency of library services.
• Analyze, clean, reconcile, and enrich large-scale bibliographic and holdings datasets • Investigate metadata quality, duplication, normalization, matching, and entity-resolution issues • Use Excel, SQL, AI tools, and other data-analysis methods to identify patterns, exceptions, and improvement opportunities • Design and refine metadata rules, mappings, validation processes, and automated workflows • Evaluate bibliographic data from publishers, aggregators, libraries, and other external sources • Support the evolution of metadata architecture, discovery capabilities, and knowledge-base systems • Develop repeatable methods for assessing metadata completeness, accuracy, consistency, and timeliness • Document data sources, standards, workflows, decisions, and quality-control procedures • Use AI-assisted approaches while validating results and maintaining standards for accuracy, privacy, and responsible use • Collaborate with technical and product teams to strengthen metadata quality, coverage, matching, and interoperability • Improve bibliographic data accuracy, consistency, and coverage • Develop scalable approaches to data analysis and quality control • Turn complex bibliographic data into more reliable experiences for libraries and their users
• At least 2 years of professional work experience in libraries, data science, metadata analysis, or a similar role • Master's degree in library and information science, a related field, or equivalent professional experience • Professional experience with bibliographic metadata, library systems, discovery services, knowledge bases, or scholarly information • Strong working knowledge of Excel, including functions, filters, lookups, data transformation, and analysis of large datasets • High degree of comfort using AI tools for research, analysis, vibe coding mini apps, workflow development, and problem-solving • Familiarity with bibliographic identifiers and metadata standards such as DOI, ISSN, ISBN, MARC, KBART, and Dublin Core • Strong analytical skills and persistence investigating ambiguous or incomplete data • Ability to explain metadata and data-quality issues to technical and nontechnical colleagues • Excellent written communication, documentation, and remote-collaboration skills • Experience with APIs, JSON, XML, regular expressions, scripting, or data-transformation tools • Comfort reviewing metadata samples and designing tools to analyze data mechanically with AI • Ability to work independently, manage priorities, and contribute within a distributed team • Preferred: SQL query experience • Preferred: familiarity with publisher, aggregator, link-resolver, or library-vendor metadata • Preferred: entity resolution, record matching, deduplication, authority control, or identifier reconciliation • Preferred: scholarly communication data sources such as Crossref, PubMed, OpenAlex, ORCID, or library knowledge bases • Preferred: AI-assisted metadata workflow experience • Preferred: collaboration with software engineers, product managers, or data teams • Preferred: 1+ year of successful remote work • Ability to formulate and refine effective AI prompts and apply human judgment and verification
• Health • Dental • Long-term disability • Paid time-off • Home-office stipend • Remote-first, fully distributed work environment
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