Principal Product Designer/Information Architect

ConstructConnect•Atlanta, GA

8d•Hybrid

About The Position

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. This job description in no way implies that the duties listed here are the only ones that team members can be required to perform

Requirements

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
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.
Exceptional ability to work with business leaders, SMEs, and cross-functional teams to shape structured knowledge models.
Knowledge of modern metadata management and data catalog tools.
Ability to earn trust, maintain positive relationships, and contribute to a culture of inclusion.
Intense curiosity for understanding the details of our business.
Excellent written and verbal communication skills.
Effective time management skills.
Natural curiosity to explore how to make products better for users.

Nice To Haves

Preferred: Master’s in Library Science, Information Science, Computational Linguistics, Human-Computer Interaction or related field
Preferred: Certification in OOUX

Responsibilities

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.