Role Overview

• Lead design efforts for Catalog and Insights products focusing on data discovery, metadata management, and analytics governance.
• Create intuitive experiences for analytics engineers, data practitioners, and business users to understand complex data relationships.
• Design interfaces that enhance usability and data trust, enabling confident navigation and classification of data assets.
• Own full design processes from user research to prototyping and production.
• Collaborate with product managers and engineers to shape long-term vision for data discovery and governance experiences.

Key Initiatives

• Enhanced Search: Re-imagine how users find and filter data assets across organizations.
• Catalog as Governance Interface: Design accessible tools for data classification and compliance.
• BI Integration & Extended Lineage: Visualize data flow from source to dashboard.
• Cost Insights: Help data teams understand and optimize warehouse spend.

Responsibilities

• Conduct user research and apply insights to guide design decisions.
• Prototype, test, and iterate quickly with real users.
• Collaborate closely with PMs, engineers, and designers to deliver cohesive and accessible experiences.
• Contribute to the design system and improve consistency across products.
• Mentor junior designers and participate in team critiques.

Requirements

• 5+ years of product design experience creating complex B2B or enterprise tools.
• Strong portfolio demonstrating design process, decisions, and outcomes.
• Experience with iterative design, rapid prototyping, and testing.
• Ability to conduct user research and incorporate insights into design.
• Strong collaboration skills and a low-ego approach.
• Ability to manage ambiguity and prioritize effectively.
• Familiarity with modern data ecosystem or experience with data-focused teams.

Preferred Qualifications

• Experience designing interfaces for data discovery or catalog systems.
• Understanding of data governance concepts (ownership, sensitivity, classification).
• Familiarity with enterprise data ecosystems collaboration.
• Basic understanding of front-end development (HTML, CSS).
• Experience with product analytics tools, dbt, or data engineering workflows.
• Awareness of accessibility best practices for technical products.