Platform Product Manager — AI-Driven Ontology & Knowledge Graph

Vizient; Edina (MN); On-site; USD 77,000 - 135,000; Full time

Job summary

Vizient seeks an experienced product leader to own defined capabilities within the Knowledge & Semantic Platform, driving AI-powered intelligence across the organization. You will partner with engineering and internal clients to shape the ontology, knowledge graph, taxonomy, and metadata models while maintaining a scalable backlog and roadmap.

You will lead requirements, user stories, and validation approaches, collaborating across architecture, data engineering, security, and design teams to

Qualifications

• Experience with ontology, knowledge graphs, taxonomy, semantic modeling.
• Metadata management and graph databases familiarity.
• Experience with AI-enabled applications and RAG concepts.
• Proven ability to translate concepts into reusable semantic platform capabilities.

Responsibilities

• Own backlog and near-term roadmap for Knowledge & Semantic Platform capabilities.
• Conduct discovery with internal clients to understand needs and AI use cases.
• Define requirements, user stories, acceptance criteria, and semantic models.
• Collaborate with engineering, data teams, and security to implement capabilities.
• Balance priorities across client needs, architecture, governance and data stewardship.
• Support release readiness, documentation, validation and adoption activities.
• Use AI tools to improve discovery, requirements, and communication.

Skills

Analytical thinking

Stakeholder management

Communication

Collaboration

Education

Relevant degree preferred

Job description

Vizient seeks an experienced product leader to own defined capabilities within the Knowledge & Semantic Platform, driving AI-powered intelligence across the organization. You will partner with engineering and internal clients to shape the ontology, knowledge graph, taxonomy, and metadata models while maintaining a scalable backlog and roadmap.

You will lead requirements, user stories, and validation approaches, collaborating across architecture, data engineering, security, and design teams to