Business Analyst – People Content Optimization for AI Job at Tier4 Group (Milwaukee)

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

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Business Analyst – People Content Optimization for AI

Job Description

Job Responsibility

Requirements

Nice to have

What we offer

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