Data Analyst – Sr Specialist

We are seeking a Taxonomist / Metadata Specialist to serve as the lead subject matter expert for standardizing and governing metadata across HR content platforms and the core HR management system. This role plays a critical part in establishing a trusted, consistent data foundation that enables AI‑driven search, discovery, and intelligent HR experiences.

This is a hands‑on, execution‑focused role suited for a practitioner who can balance theory with delivery. You will design, implement, and operationalize metadata and taxonomy standards in a developing or greenfield environment, delivering production‑ready outcomes that improve content findability, reuse, and AI performance.

What You’ll Do

• Analyze existing metadata structures across HR systems and content platforms to identify gaps, overlaps, and inconsistencies
• Define and implement an enterprise‑ready metadata, taxonomy, and ontology strategy tailored to HR and AI use cases
• Develop and operationalize a sustainable metadata framework that supports AI‑driven search, retrieval, and future agentic experiences
• Establish metadata standards, governance processes, approval workflows, and operational rules to maintain integrity over time
• Partner with HR subject‑matter experts, content strategists, technology teams, and business stakeholders to align on metadata design
• Facilitate and/or lead co‑creation workshops to gather input, validate taxonomy models, and drive stakeholder adoption
• Consult with technology teams to ensure metadata aligns with AI infrastructure and platform capabilities
• Drive education, documentation, and best practices for tagging and metadata usage in partnership with change management teams
• Audit real content, search logs, and consumption data to continuously refine taxonomy and metadata models
• Serve as a single‑practitioner metadata and taxonomy lead, setting standards, templates, and repeatable processes

Required Skills & Qualifications

Must‑Have Skills

• Hands‑on experience developing and implementing taxonomies and metadata across enterprise platforms to improve search, reuse, and AI experiences
• Experience designing and operationalizing metadata governance, including standards, templates, workflows, and quality rules
• Strong stakeholder facilitation skills, with the ability to reconcile competing mental models into a shared framework
• Ability to work independently in a less‑mature or greenfield environment and deliver production‑ready outcomes

Minimum Qualifications

• Bachelor’s degree in information science, library science, semantics, ontology, or a related field (or equivalent experience)
• 2+ years of professional experience in taxonomy, metadata, ontology, or related disciplines
• Demonstrated experience supporting AI‑enabled or search‑driven experiences using structured metadata
• Hands‑on experience implementing metadata standards within CMS and/or enterprise search platforms
• Strong written and verbal communication skills, including the ability to influence without authority

Nice to Have

• Familiarity with knowledge graphs, graph databases, and semantic technologies
• Experience with metadata governance tools and platforms (e.g., Collibra, Informatica, Atlan)
• Understanding of data management fundamentals such as cataloging, lineage, and classification
• Experience using analytics (search logs, content audits, usage data) to optimize metadata models
• Exposure to enterprise HR systems, content management platforms, and search technologies

Key Deliverables

• A fully documented, HR‑wide standardized metadata framework
• Governance standards, workflows, and operational guidelines
• Training materials and stakeholder education sessions
• An HR ontology designed to support AI‑driven experiences
• Implementation roadmap for ongoing refinement and sustainability
• Technology advisory recommendations to support metadata standardization

Why This Role Matters

This role directly enables the future of intelligent HR experiences by ensuring the data and content foundations are AI‑ready, scalable, and trusted. You’ll have the opportunity to shape how HR knowledge is structured, discovered, and used—making a lasting impact across the organization.