Lead Information Architect, Enterprise Ontology and AI

Docusign

3d • Remote

About The Position

A Lead Information Architect, Enterprise Ontology and AI is a visionary strategist responsible for the structural foundation of Docusign’s intelligent agreement ecosystem. You design the semantic models and knowledge frameworks that transform disconnected data into machine-understandable intelligence, enabling our AI engines to deliver precise, context-aware outcomes. You are the architect of the connective tissue that ensures our AI agents and search systems understand the complex relationships between documents, data, and business workflows. A Lead Information Architect, Enterprise Ontology and AI helps drive the evolution of our global information standards by bridging the gap between human intent and technical execution. This position requires a rare blend of deep linguistic expertise, technical systems thinking, and the ability to influence high-level technical roadmaps. You will collaborate on high-stakes initiatives across Product, GTM, and AI Engineering to ensure a unified semantic layer that powers our next generation of Agentic AI.
This position is an individual contributor role reporting to the Director, Knowledge Management.

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 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

Nice To Haves

• Advanced degree (Masters or PhD) in Information Science, Linguistics, or a related discipline
• Experience working specifically with LLMs, RAG (Retrieval-Augmented Generation), and Agentic AI workflows
• Familiarity with graph database concepts and knowledge graph design patterns
• Exceptional ability to translate high-level business workflows and domain knowledge into scalable semantic and classification systems
• Demonstrated success in driving adoption of standards across global, distributed organizations through effective storytelling and clear thinking
• Experience mentoring others or leading semantic and data-governance initiatives without formal people-management responsibility
• Ability to influence, challenge, and scale standards without direct authority across engineering, product, and GTM teams

Responsibilities

• 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

Benefits

• Bonus: Sales personnel are eligible for variable incentive pay dependent on their achievement of pre-established sales goals. Non-Sales roles are eligible for a company bonus plan, which is calculated as a percentage of eligible wages and dependent on company performance.
• Stock: This role is eligible to receive Restricted Stock Units (RSUs).
• 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

What This Job Offers

• Job Type: Full-time
• Career Level: Senior