Lead Information Architect, Enterprise Ontology and AI

Docusign brings agreements to life. Over 1.5 million customers and more than a billion people in over 180 countries use Docusign solutions to accelerate the process of doing business and simplify people's lives. With intelligent agreement management, Docusign unleashes business-critical data that is trapped inside of documents. Until now, these were disconnected from business systems of record, costing businesses time, money, and opportunity. Using Docusign's Intelligent Agreement Management platform, companies can create, commit, and manage agreements with solutions created by the #1 company in e-signature and contract lifecycle management (CLM).

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.

Responsibility

• 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

Remote: Employee is not required to be in or near an office frequently and works from a designated remote work location for the majority of the time.

Positions at Docusign are assigned a job designation of either In Office, Hybrid or Remote and are specific to the role/job. Preferred job designations are not guaranteed when changing positions within Docusign. Docusign reserves the right to change a position's job designation depending on business needs and as permitted by local law.

Basic

• 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

Preferred

• 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

Pay for this position is based on a number of factors including geographic location and may vary depending on job-related knowledge, skills, and experience.

Based on applicable legislation, the below details pay ranges in the following locations:

California: $132,700.00 - $206,800.00 base salary

Illinois, Colorado, Massachusetts and Minnesota: $126,500.00 - $173,900.00 base salary

Washington, Maryland, New Jersey and New York (including NYC metro area): $126,500.00 - $182,500.00 base salary

Washington DC: $132,700.00 - $182,500.00 base salary

Ohio: $111,100.00 - $152,725.00 base salary

This role is also eligible for the following:

• 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).

Global benefits provide options for the following:

• 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

Work Authorization Notice: Please note that we do not provide visa sponsorship or immigration support for this position. Applicants must already be authorized to work in the United States on a full-time, permanent basis without the need for current or future sponsorship.

Working here

Docusign is committed to building trust and making the world more agreeable for our employees, customers and the communities in which we live and work. You can count on us to listen, be honest, and try our best to do what's right, every day. At Docusign, everything is equal.

We each have a responsibility to ensure every team member has an equal opportunity to succeed, to be heard, to exchange ideas openly, to build lasting relationships, and to do the work of their life. Best of all, you will be able to feel deep pride in the work you do, because your contribution helps us make the world better than we found it. And for that, you'll be loved by us, our customers, and the world in which we live.

Accommodation

Docusign is committed to providing reasonable accommodations for qualified individuals with disabilities in our job application procedures. If you need such an accommodation, or a religious accommodation, during the application process, please contact us at accommodations@docusign.com.

If you experience any issues, concerns, or technical difficulties during the application process please get in touch with our Talent organization at taops@docusign.com for assistance.

Applicant and Candidate Privacy Notice

This position is not eligible for employment in the following states: Alaska, Hawaii, Maine, Mississippi, North Dakota, South Dakota, Vermont, West Virginia and Wyoming.

It's important to us that we build a talented team that is as diverse as our customers and where all employees feel a deep sense of belonging and thrive. We encourage great talent who bring a range of perspectives to apply for our open positions. Docusign is an Equal Opportunity Employer and makes hiring decisions based on experience, skill, aptitude and a can-do approach. We will not discriminate based on race, ethnicity, color, age, sex, religion, national origin, ancestry, pregnancy, sexual orientation, gender identity, gender expression, genetic information, physical or mental disability, registered domestic partner status, caregiver status, marital status, veteran or military status, or any other legally protected category.

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