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Business Analyst – People Content Optimization for AI

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Tier4 Group

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Location:
United States , Milwaukee

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Category:
IT - Administration

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Contract Type:
Not provided

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Salary:

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Job Description:

We are seeking an experienced Business Analyst to support the execution of a People Content Optimization for AI program. This role operates as a hands‑on practitioner in information architecture, taxonomy, ontology, and content modeling, translating strategy into actionable discovery, analysis, and delivery. You will play a critical role in shaping how People (HR) content is structured, labeled, related, and governed across platforms—ensuring content is findable, reusable, understandable, and ready to support AI‑powered search, assistants, and knowledge experiences. This role partners closely with content strategy, digital experience, data, architecture, and enablement teams to establish clear, scalable, and AI‑ready knowledge structures.

Job Responsibility:

  • Plan and execute discovery activities to assess content structure, information hierarchy, metadata models, and semantic relationships across People platforms
  • Conduct information architecture audits, including navigation models, content grouping, labeling, and cross‑platform consistency
  • Analyze content relationships (e.g., policies → procedures → FAQs → tasks) to inform future‑state ontology and knowledge‑graph readiness
  • Identify high‑demand content, duplication, staleness, and usability issues using behavioral data, search logs, and support insights
  • Document privacy, security, and regulatory constraints that influence content structuring, access, and AI usage
  • Inventory and evaluate existing taxonomies, controlled vocabularies, and tagging schemes
  • Design or refine taxonomies, metadata frameworks, and semantic relationships that improve findability and AI retrieval
  • Support ontology and knowledge‑modeling efforts that enable structured, connected, and AI‑ready content
  • Translate research findings into clear, actionable IA artifacts
  • Partner with Content Strategy, Digital Experience, Data, Enablement Architecture, and platform teams to align content structure with technical capabilities
  • Help operationalize content standards for naming, classification, tagging, and reuse
  • Support adoption of shared terminology, controlled vocabularies, and governance models across AI initiatives
  • Track milestones, risks, and dependencies in partnership with project leadership
  • Escalate insights and recommendations to support prioritization and architectural decisions

Requirements:

  • 7–9 years of experience in information architecture, content strategy, knowledge management, digital experience, or HR technology roles
  • Demonstrated experience designing or evaluating: Information hierarchies and navigation models
  • Taxonomies, controlled vocabularies, and metadata frameworks
  • Content classification and governance at scale
  • Working knowledge of ontology concepts, semantic relationships, and how structured content supports AI retrieval, search, and assistants
  • Experience working within enterprise content ecosystems (e.g., HR help platforms, portals, or intranets)
  • Ability to translate research and analysis into clear structural models and standards
  • Strong facilitation, synthesis, and stakeholder communication skills
  • Information Architecture & Hierarchy Design
  • Taxonomy & Controlled Vocabulary Design
  • Ontology & Semantic Relationship Modeling
  • Metadata Strategy & Content Modeling

Nice to have:

  • Retrieval‑Augmented Generation (RAG 1.0 / 2.0) best practices
  • AI agent or copilot knowledge‑center development
  • Advanced understanding of enterprise collaboration platforms (e.g., content management, workflow automation, productivity ecosystems)
What we offer:
  • Competitive Rates
  • Benefits
  • free daily lunch when onsite

Additional Information:

Job Posted:
April 01, 2026

Work Type:
Hybrid work
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