Platform Product Manager — Ontology & Knowledge Graph (AI)

Vizient

Irving (TX)

On-site

USD 77,000 - 135,000

Full time

3 days ago

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Benefits offered by this job

Incentive eligible

Job summary

Vizient seeks a product owner to independently own defined capabilities within the Knowledge & Semantic Platform, enabling AI-powered products and consistent intelligence delivery across the organization. You will partner with engineering and internal clients to define and evolve ontology, knowledge graph, taxonomy, and metadata models, while managing the backlog and roadmap.

You will collaborate with AI delivery, data engineering, security, and design teams to translate business concepts into

Qualifications

2+ years of relevant experience required.
3–5 years in product management, ownership, or enterprise platforms.
Experience with ontology, knowledge graphs, semantic modeling is preferred.
Familiarity with AI-enabled apps and retrieval-augmented generation (RAG) is preferred.

Responsibilities

Own the backlog and near-term roadmap for Knowledge & Semantic Platform capabilities, including ontology, knowledge graph, taxonomy, metadata management, semantic modeling, and related services.
Conduct discovery with internal clients to understand business concepts, workflows, data relationships, AI use cases, and opportunities to improve semantic delivery.
Define product requirements, user stories, acceptance criteria, semantic models, entity relationships, and metadata standards.
Partner with engineering leads, architects, AI Delivery, data engineering, security and design teams to translate business concepts into reusable semantic platform capabilities.
Balance delivery priorities across internal client needs, engineering capacity, governance, data stewardship, and AI-enabled development opportunities.
Collaborate with teams using agentic coding tools and AI-assisted development environments to improve delivery quality and speed.
Support implementation planning, release readiness, documentation, validation, and adoption while promoting semantic standards.
Use metrics and client feedback to refine backlog priorities and improve ontology, metadata quality, semantic relationships, and platform adoption.
Create guidance and enablement resources to help internal teams leverage semantic platform capabilities and knowledge graphs.
Identify opportunities to improve metadata quality, semantic consistency, data stewardship, self-service, and reusable knowledge assets that enhance AI-enabled products.