Principal Product Designer/Information Architect

Overview

This position is within the Product Management division, which is accountable for the success of our software solutions by working cross-functionally with teams that develop, market, sell and support them. 

 

The Opportunity

As a Product Designer specializing in Information Architecture, you will champion the needs and goals of our business users by defining and executing strategic initiatives to support the development of a company-wide data model. You will champion the needs and goals of our business users while positioning our products for an AI-first future by defining and executing strategic data initiatives.  This role requires extensive collaboration with SMEs, engineers, and business leaders to facilitate a conceptual model of how data is used to facilitate workflow and information discovery in our products. You will effectively communicate and advocate for end user needs in the in the design, validation, and implementation of organizational data models.

As the expert on the design team on our data and its structure, you will also collaborate with other designers and teams to create effective workflows for data capture and consumption.  Moreover, you will be responsible for ensuring consistency in how data is used, updated, and referenced across our products.

Responsibilities

What You’ll Be Doing

• Develop the information architecture of products and features, including organizing content and features to ensure users can easily find what they're looking for across multiple products
• With minimal supervision, create conceptual models and content maps to link related data
• Inform the design of the Enterprise Data Model based on program and project level engagement, supporting reuse.
• Partner with business and technical users to gather and analyze metadata requirements, shaping structured models
• Support the design of workflows for capturing and consuming data
• Ensure that information structures and systems support current and future product and data needs.
• Design information architectures that enable AI capabilities, including structuring data schemas and taxonomies to support machine learning models, AI-powered search, intelligent recommendations, and automated workflows
• Collaborate with data science and AI/ML teams to ensure data structures facilitate model training, feature engineering, and AI-driven user experiences
• Define metadata standards and semantic relationships that enable natural language processing, contextual understanding, and intelligent data discovery
• Architect information systems that support both human and AI agents, ensuring data is structured for consumption by AI systems while maintaining human usability
• As needed, partner with other product designers and user experience researchers to test and implement information structures in user interfaces.
• Document best practices and processes for managing taxonomies and metadata.
• Create and maintain content governance frameworks; Conduct periodic audits and recommend taxonomy principles, standards and best practices on the performance of the system to align to the broader data strategy and framework, including keeping the strategy relevant.
• Collaborate with product management and development to realize the product vision, product strategy, product discovery, roll out of data-related tools, platforms and the implementation of data product roadmap.
• Be involved in all aspects of design execution, from concept creation to prototyping, user testing, and final production.
• Visually communicate your work for influence and impact.
• This job description in no way implies that the duties listed here are the only ones that team members can be required to perform

Qualifications

What You Bring to the Team  

• 8+ years of experience in strategic initiatives managing the Information Architecture for complex data products, with a background in information architecture, structuring taxonomies, and product design
• Preferred: Master’s in Library Science, Information Science, Computational Linguistics, Human-Computer Interaction or related field
• Preferred: Certification in OOUX
• Experience designing information architectures for AI-enabled products or working with data science/ML teams
• Understanding of how data structure impacts AI model performance, including knowledge graphs, ontologies, and semantic relationships
• Familiarity with AI/ML concepts such as vector embeddings, retrieval-augmented generation (RAG), or knowledge management systems
• High level of motivation, self-starter, ability to demonstrate effective project management and completion of complex tasks with little guidance.