UX / IA Lead

Further•Dallas, TX

11h•Hybrid

About The Position

Further is a data, cloud, and AI company focused on helping companies turn raw data into the right decisions. They have an award-winning culture and aim to enable people to thrive so that businesses can thrive. They believe work should be meaningful and have a positive impact. This role is for an Associate UX / IA Director who will serve as the strategy and measurement anchor for clients making data-driven decisions. The role involves analytics program design, measurement frameworks, data strategy, and client leadership, with a focus on seeing recommendations through. The individual will bring business thinking, shape client strategies, and act as a player-coach. Responsibilities include leading discovery sessions, pressure-testing hypotheses, presenting to senior stakeholders weekly, owning client relationships, driving business development, and mentoring team members. The primary goal is to improve clients' data utilization for business operations.

Requirements

10+ years of product design experience, with at least 4 in a senior, lead, or principal role at a complex B2B SaaS, platform, or operator-facing product.
A portfolio that proves craft at complexity, including IA ownership that made a hard product feel obvious, organized and intentional Figma files, and interaction design for high-stakes workflows.
Experience owning a design system in production: components, tokens, patterns, governance, and the engineering partnership.
Direct research experience with senior practitioners or executives, including running interviews, synthesizing findings, and presenting to challenging audiences.
Strong product instincts to argue for or against scope, sequence, or features based on user need, business context, and platform coherence.
A track record of mentoring designers, formally or informally.

Responsibilities

Own the information architecture: navigation, taxonomy, page hierarchy, language, concept grouping.
Design the critical workflows: how operators triage signals, configure actions, review AI outputs, and approve high-stakes decisions.
Build and maintain the design system: components, patterns, tokens, accessibility, and documentation.
Set the bar for visual craft.
Run user research with operators, account leads, and executives.
Shape the product, not just the design; influence the roadmap.
Partner cross-functionally with engineering on feasibility, solution architecture on what needs surfaces, data architecture on what's queryable, and leadership on what the product should mean.