Lead Information Architect, Enterprise Ontology – AI

This is a fully remote position, open to applicants in California.

📋 Description

• Define, manage, and enhance the enterprise ontology, taxonomy, and semantic framework.

• Convert business objectives into a cohesive information architecture, which includes canonical entities, attributes, relationships, and scalable classification systems that underpin our Agentic AI solutions.

• Design and uphold knowledge graph relationships that illustrate how agreements, parties, processes, and data interconnect throughout the organization.

• Implement taxonomy, ontology, and metadata structures in priority systems and workflows to enhance retrieval accuracy, consistency, explainability, and overall outcomes for Agentic AI.

• Define and sustain enterprise taxonomies, controlled vocabularies, and content boundaries to guarantee consistent labeling and discoverability across products, data, and content.

• Develop and maintain a governed business glossary featuring canonical definitions, synonyms, and reference rules utilized across Product, GTM, AI, and Analytics.

• Configure and manage semantic platforms like Semaphore or PoolParty, concentrating on the modeling and governance of taxonomies, ontologies, and semantic metadata.

• Ensure that semantic assets are accessible in machine-readable formats to support AI, semantic search, analytics, and self-service reporting applications.

• Establish and expand semantic standards across distributed teams, leveraging influence, credibility, and effective strategic communication to ensure governance company-wide.

• Collaborate with analytics, reporting, data platform, product, and AI teams to harmonize definitions and promote convergence on shared semantic models.

• Create and articulate a multi-year semantic architecture roadmap that aligns with Docusign’s AI, data, and product strategies.

• Implement governance processes for semantic assets, including documentation, lineage, versioning, and change-management workflows.

• Define and execute review and certification processes for new or updated terms, concepts, and relationships to maintain a reliable and auditable semantic layer.

• Establish clear contribution and stewardship models so that distributed teams understand how to request changes and adopt standards at scale.

• Assess the impact of information architecture on Agentic AI and search performance, refining knowledge models based on actual usage and feedback.

• Develop and monitor 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 facilitate new AI, analytics, and product capabilities.

⛳️ Requirements

• 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 technology environment.

• Proven experience in operationalizing information architecture models into production systems with measurable outcomes.

• Familiarity with search systems, knowledge graphs, or AI-driven systems and an understanding of how structure influences performance.

• Experience in configuring semantic modeling tools and metadata management platforms like Semaphore or PoolParty.

• Proven track record in establishing governance practices for semantic assets, including documentation, versioning, and review workflows.

🏝️ Benefits

• Paid Time Off: earned time off, in addition to paid company holidays depending on the region.

• Paid Parental Leave: take up to six months off with your child following birth, adoption, or foster care placement.

• Full Health Benefits Plans: options for 100% employer-funded and minimum employee contribution health plans starting from day one of employment.

• Retirement Plans: selection of retirement and pension programs with potential employer contributions.

• Learning and Development: opportunities for coaching, online courses, and education reimbursements.

• Compassionate Care Leave: paid time off granted following the loss of a loved one or other significant life events.