Role details

Contract type

Temporary contract

Employment type

Full-time (> 32 hours)

Experience level

Expert

Experience required

5 years minimum

Working hours

Regular working hours

Job source

www.indeed.com

Tech stack

Business Analytics Applications Audit Trail Information Systems Graph Database Management of Software Versions Large Language Models Agentic-AI Information Technology Data Lineage Semantic Modeling

Job description

• Own the ontology product vision, roadmap, backlog, release planning, and adoption strategy.
• Define and maintain enterprise domain models, entity relationships, class hierarchies, taxonomies, controlled vocabularies, constraints, and semantic standards.
• Establish ontology governance practices, including stewardship, versioning, change control, impact assessment, data lineage, and quality metrics.
• Collaborate with business subject matter experts, data engineers, architects, and risk and compliance teams to map source systems and validate semantic models.
• Translate business requirements into epics, user stories, competency questions, acceptance criteria, and production validation tests.
• Enable governed semantic grounding for knowledge graphs, analytics platforms, large language models (LLMs), and AI agents.
• Ensure ontology models support appropriate data permissions, traceability, auditability, and enterprise governance.
• Manage complex, cross-functional initiatives involving multiple integrated business systems and departments.
• Identify opportunities to optimize business processes, improve operational efficiency, and streamline workflows through technology solutions.
• Drive stakeholder alignment and promote consistent ontology adoption across business and technology teams.

Requirements

• Bachelor’s degree in Computer Science, Information Systems, or a related field, or equivalent practical experience.
• 8-10 years of overall relevant professional experience, with at least 5 years in product management, business analysis, or data product ownership.
• Experience delivering semantic modeling, ontology, domain-modeling, or knowledge-representation solutions.
• Strong understanding of ontology concepts

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