Business Analyst -AI 5043

Location: Milwaukee, WI-Type: Hybrid (3 days onsite per week) Duration: ASAP - 01/31/2027 Perks: Competitive Rates, Benefits, free daily lunch when onsite Job Description: We are seeking an experienced Associate Director 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. What You’ll Do Information Architecture & Discovery • 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. Taxonomy, Ontology & Content Modeling • 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, including:Content inventories and audits • Taxonomy and metadata gap analyses • Information hierarchy and navigation models • Discovery and synthesis reports Collaboration & Delivery • 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. Success Looks Like • High‑quality discovery and information architecture artifacts aligned to program standards. • Clear visibility into current‑state content structure, hierarchy, and semantic gaps. • Improved alignment between user intent, information hierarchy, and content organization. • Strong cross‑functional alignment on terminology, taxonomy, and future‑state content models. • Actionable inputs that accelerate planning and AI‑readiness decisions. Required Qualifications • 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. Must Have • 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)