Data Librarian
Aquent
Job Overview
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Job Description
About the Data Librarian Role at Aquent's Client
Our luxury retail client’s Creative Operations team is seeking a Data Librarian to steward high-volume product and creative metadata across their systems, with a primary focus on Digital Creative libraries, CMS content structures, Airtable, and translation databases. This role owns data integrity, schema/taxonomy management, and library migrations that support publishing and international translation workflows. The position is operational and systems-embedded (not business KPI analytics) and requires daily cross-functional coordination with PMs, digital librarians, linguists, developers, marketing and digital creatives, and external partners.
What You Bring
- Proactive, self-directed execution
- Collaborative cross-functionally across Creative, Dev/IT, and International teams
- Flexible under changing scopes and mid-course corrections
- Precise, process-driven, and documentation-oriented
- Must have strong time management & problem-solving skills
What You’ll Do
- Collect, map, cleanse, normalize, reconcile, and migrate data to keep databases accurate and consistent.
- Execute high-volume data operations (imports/exports, audits, comparisons, exception handling) and validate outputs through rigorous QA.
- Build, maintain, document, and improve operational workflows that support data management and publishing processes; identify gaps, propose fixes, and implement repeatable solutions.
- Provide cross-functional workflow training to colleagues with varying levels of experience in data management.
- Manage translation data operations: maintain product and non-product translation records, priority flags, submissions intake, and ongoing updates; ensure completeness and correctness of translation databases.
- Maintain and improve Translation Memory/Term Base structures and translation style guides; implement updates systematically.
- Execute translation deliverables for digital and print outputs
- Coordinate daily/weekly cross-functional working sessions; track decisions, manage follow-ups, and communicate requirements, risks, and release impacts.
Requirements
- Advanced Excel proficiency; able to manipulate and validate large datasets
- Intermediate-to-advanced SQL proficiency; able to author multi-join queries for exports, audits, and reconciliation.
- Demonstrated experience with metadata stewardship, controlled vocabularies, tagging, and schema management.
- Hands-on experience operating in system-embedded roles (CMS, Airtable, DAM//PLM environments).
- Proven data QA mindset with high accuracy and attention to detail.
- Strong written and verbal communication; able to translate technical data issues into actions for PMs, developers, librarians, and international partners.
- Ability to manage multiple parallel work streams and shifting priorities under deadline.
Preferred Requirements
- Python for automation and data transformations.
- Experience with Adobe Experience Manager (AEM), Contentful, or other CMS system.
- Experience with Airtable admin/builds, data migrations, and governance.
- Experience with CAT tool management.
- Background in digital librarianship, information science
Key Skills/Competency
- Data Integrity
- Metadata Stewardship
- Schema Management
- Taxonomy Management
- Data Migration
- SQL Proficiency
- Excel Proficiency
- CMS Experience
- Airtable
- Translation Management
How to Get Hired at Aquent
- Research Aquent's culture: Study their mission, values, recent news, and employee testimonials on LinkedIn and Glassdoor.
- Tailor your resume: Customize your resume to highlight metadata stewardship, SQL, Excel, and CMS experience relevant to the Data Librarian role.
- Showcase data expertise: Prepare examples demonstrating your experience with data integrity, schema management, and high-volume data operations.
- Practice technical skills: Sharpen your Excel and SQL skills, focusing on manipulating large datasets and multi-join queries.
- Highlight communication: Be ready to discuss how you translate complex technical data issues for diverse non-technical stakeholders.
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