Senior AI Product Knowledge Architect
The Planet Group · Chicago, Illinois, United States
FULL TIME
Job Description
Location: Chicago, IL preferred; remote candidates consideredWork Arrangement: Hybrid, onsite Tuesday–Thursday for Chicago-based candidatesPay: 75-85hr/w2Duration: Approximately 16 weeks, with potential for extension
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Our client is advancing a next-generation AI-powered product experience that combines healthcare data, proprietary research, methodologies, and intelligent insights to support strategic decision-making.
They are seeking a hands-on Senior AI Product Knowledge Architect / AIDLC Enablement Lead to transform fragmented product, research, data, and business knowledge into structured, validated, reusable assets that enable AI-driven workflows, ontology development, and intelligent orchestration.
This delivery-focused role will collaborate across Product, Data Science, Engineering, Ontology, and subject-matter expert (SME) teams to establish authoritative knowledge, resolve inconsistencies, formalize business logic, and develop practical standards that support an AI-enabled development lifecycle (AIDLC).
Key ResponsibilitiesInventory and organize product documentation, research, methodologies, business rules, terminology, and data definitions across enterprise knowledge repositories.Identify knowledge gaps, duplication, conflicting definitions, and ambiguities; partner with SMEs to validate and establish authoritative information.Develop AI-ready knowledge assets, including structured Markdown documentation, taxonomies, synonym maps, business-question catalogs, data crosswalks, entity relationships, and business rules.Translate product concepts, analytical intent, data relationships, and domain methodologies into structured inputs for ontology, data science, and engineering teams.Facilitate SME review sessions, document decisions, resolve discrepancies, and track outstanding questions and validation requirements.Establish reusable templates, repository standards, versioning conventions, stewardship models, and lightweight review and approval workflows.Apply AI-assisted knowledge extraction using large language models (LLMs), ensuring human validation, source traceability, and reliable information provenance.Deliver prioritized knowledge assets within the first 30–90 days and recommend a roadmap for ongoing AI enablement and ontology development.
Required Qualifications5+ years of relevant experience in product operations, information architecture, knowledge management, data governance, business analysis, semantic modeling, or a related field.Proven ability to transform fragmented or unstructured information into organized, validated, reusable business or product knowledge.Experience developing taxonomies, controlled vocabularies, metadata models, semantic crosswalks, business rules, or structured information architectures.Strong ability to translate complex business concepts, data definitions, methodologies, and workflows into clear, precise documentation.Experience collaborating across Product, Data, Engineering, and business subject-matter experts.Hands-on proficiency with structured documentation, Markdown, spreadsheets, and collaborative knowledge repositories.Excellent analytical, writing, facilitation, and problem-solving skills, including the ability to distinguish verified facts from assumptions and unresolved decisions.Demonstrated ability to work independently, prioritize deliverables, manage dependencies, and produce measurable results within a short engagement.
Preferred QualificationsExperience with generative AI, retrieval-augmented generation (RAG), knowledge graphs, ontology development, semantic layers, or intelligent orchestration.Familiarity with AI-enabled product development, AIDLC practices, data products, or AI product operations.Experience in healthcare analytics, healthcare data, or other complex, highly governed data environments.Exposure to Confluence, SharePoint, Adobe DAM, Databricks, enterprise search, vector search, or AI context libraries. xzbcwsv Experience converting proprietary research, domain expertise, or institutional knowledge into structured, machine-readable assets.
Considering applying for this job Do not delay, scroll down and make your application as soon as possible to avoid missing out.
Our client is advancing a next-generation AI-powered product experience that combines healthcare data, proprietary research, methodologies, and intelligent insights to support strategic decision-making.
They are seeking a hands-on Senior AI Product Knowledge Architect / AIDLC Enablement Lead to transform fragmented product, research, data, and business knowledge into structured, validated, reusable assets that enable AI-driven workflows, ontology development, and intelligent orchestration.
This delivery-focused role will collaborate across Product, Data Science, Engineering, Ontology, and subject-matter expert (SME) teams to establish authoritative knowledge, resolve inconsistencies, formalize business logic, and develop practical standards that support an AI-enabled development lifecycle (AIDLC).
Key ResponsibilitiesInventory and organize product documentation, research, methodologies, business rules, terminology, and data definitions across enterprise knowledge repositories.Identify knowledge gaps, duplication, conflicting definitions, and ambiguities; partner with SMEs to validate and establish authoritative information.Develop AI-ready knowledge assets, including structured Markdown documentation, taxonomies, synonym maps, business-question catalogs, data crosswalks, entity relationships, and business rules.Translate product concepts, analytical intent, data relationships, and domain methodologies into structured inputs for ontology, data science, and engineering teams.Facilitate SME review sessions, document decisions, resolve discrepancies, and track outstanding questions and validation requirements.Establish reusable templates, repository standards, versioning conventions, stewardship models, and lightweight review and approval workflows.Apply AI-assisted knowledge extraction using large language models (LLMs), ensuring human validation, source traceability, and reliable information provenance.Deliver prioritized knowledge assets within the first 30–90 days and recommend a roadmap for ongoing AI enablement and ontology development.
Required Qualifications5+ years of relevant experience in product operations, information architecture, knowledge management, data governance, business analysis, semantic modeling, or a related field.Proven ability to transform fragmented or unstructured information into organized, validated, reusable business or product knowledge.Experience developing taxonomies, controlled vocabularies, metadata models, semantic crosswalks, business rules, or structured information architectures.Strong ability to translate complex business concepts, data definitions, methodologies, and workflows into clear, precise documentation.Experience collaborating across Product, Data, Engineering, and business subject-matter experts.Hands-on proficiency with structured documentation, Markdown, spreadsheets, and collaborative knowledge repositories.Excellent analytical, writing, facilitation, and problem-solving skills, including the ability to distinguish verified facts from assumptions and unresolved decisions.Demonstrated ability to work independently, prioritize deliverables, manage dependencies, and produce measurable results within a short engagement.
Preferred QualificationsExperience with generative AI, retrieval-augmented generation (RAG), knowledge graphs, ontology development, semantic layers, or intelligent orchestration.Familiarity with AI-enabled product development, AIDLC practices, data products, or AI product operations.Experience in healthcare analytics, healthcare data, or other complex, highly governed data environments.Exposure to Confluence, SharePoint, Adobe DAM, Databricks, enterprise search, vector search, or AI context libraries. xzbcwsv Experience converting proprietary research, domain expertise, or institutional knowledge into structured, machine-readable assets.
Details
| Company | The Planet Group |
| Location | Chicago, Illinois, United States |
| Type | FULL TIME |
| Niche | tech |