Lead Information Architect, Enterprise Ontology – AI

🕒 vor 1 Monat

🏄 California – Remote

🏄 California – Remote

💵 $132.700 - $206.800 / Jahr

⏰ Vollzeit

🟠 Senior

🤖 Künstliche Intelligenz

🦅 H1B-Visum-Sponsor

Dieses Unternehmen hat in der Vergangenheit H1B-Visa gesponsert.

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Docusign

WebsiteLinkedInAlle Stellen

5001 - 10000 Mitarbeiter

Gegründet 2003

🛍️ eCommerce

💸 Finanzen

☁️ SaaS

eCommerce • Finance • SaaS

Docusign ist ein führender Anbieter von Technologien für elektronische Signaturen und Intelligent Agreement Management (IAM), die es Organisationen ermöglichen, Vereinbarungen digital zu erstellen, zu verwalten und abzusichern. Es vereinfacht das Vertragslebenszyklusmanagement, automatisiert Dokumentenprozesse und verbessert Kundenerfahrungen, indem es Vertragsdaten in verwertbare Einblicke verwandelt. Mit einer vertrauenswürdigen Plattform, die von Millionen weltweit genutzt wird, hilft Docusign Unternehmen, Risiken zu reduzieren, Zeit zu sparen und die Effizienz in verschiedenen Sektoren wie Finanzdienstleistungen, Versicherungen, Immobilien und Regierung zu verbessern.

Beschreibung

• Define, own, and evolve the enterprise ontology, taxonomy, and semantic layer • Translate business intent into a unified information architecture, including canonical entities, attributes, relationships, and scalable classification systems that power the underlying intelligence of our Agentic AI solutions • Design and maintain knowledge graph relationships that capture how agreements, parties, processes, and data connect across the business • Implement taxonomy, ontology, and metadata frameworks in priority systems and workflows to improve retrieval accuracy, consistency, explainability, and overall Agentic AI outcomes • Define and maintain enterprise taxonomies, controlled vocabularies, and content boundaries to ensure consistent labeling and discoverability across products, data, and content • Build and maintain a governed business glossary with canonical definitions, synonyms, and reference rules used across Product, GTM, AI, and Analytics • Configure and administer semantic platforms such as Semaphore or PoolParty, focusing on modeling and governance of taxonomies, ontologies, and semantic metadata • Ensure semantic assets are exposed in machine-usable formats to support AI, semantic search, analytics, and self-service reporting use cases • Establish and scale semantic standards across distributed teams, leveraging influence, credibility, and clear strategic communication to ensure company-wide governance • Partner with analytics, reporting, data platform, product, and AI teams to reconcile definitions and drive convergence on shared semantic models • Create and communicate a multi-year semantic architecture roadmap aligned with Docusign’s AI, data, and product strategies • Establish governance processes for semantic assets, including documentation, lineage, versioning, and change-management workflows • Define and run review and certification processes for new or updated terms, concepts, and relationships to maintain a trusted, auditable semantic layer • Create clear contribution and stewardship models so distributed teams know how to request changes and adopt standards at scale • Measure the impact of information architecture on Agentic AI and search performance, refining knowledge models based on real-world usage and feedback • Develop and track key health and adoption metrics for enterprise ontology, taxonomy, and semantic standards • Mentor cross-functional partners on best practices for structured information and semantic modeling • Provide thought leadership on how semantic architecture can unlock new AI, analytics, and product capabilities

🎯 Anforderungen

• Bachelor’s degree in Library Science, Information Management, Computer Science, or a related field, or equivalent practical experience • 8+ years of experience in taxonomy, ontology, and enterprise information architecture within a complex tech environment • Experience operationalizing information architecture models into production systems with measurable results • Experience in search systems, knowledge graphs, or AI-driven systems and an understanding of how structure impacts performance • Experience configuring semantic modeling tools and metadata management platforms such as Semaphore or PoolParty • Experience establishing governance practices for semantic assets including documentation, versioning, and review workflows

🏖️ Vorteile

• Paid Time Off: earned time off, as well as paid company holidays based on region • Paid Parental Leave: take up to six months off with your child after birth, adoption or foster care placement • Full Health Benefits Plans: options for 100% employer paid and minimum employee contribution health plans from day one of employment • Retirement Plans: select retirement and pension programs with potential for employer contributions • Learning and Development: options for coaching, online courses and education reimbursements • Compassionate Care Leave: paid time off following the loss of a loved one and other life-changing events