User Experience Lead
Listed on 2026-06-30
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IT/Tech
AI Business & Operations, AI Evaluation, Change Management
Job Summary / Objective
Player‑coach who owns initiative outcomes, balances throughput, and is accountable for vision and quality of delivered solutions.
UX Job Family OverviewUser Experience (UX) roles design and validate user‑centered experiences for complex enterprise software. Across levels, the work spans discovery (research and synthesis), design (information architecture, interaction design, prototyping), documentation (wireframes/specifications), and validation (usability testing and iteration). AI is used to accelerate evidence capture, synthesis, ideation, and delivery—while maintaining responsible, transparent, and user‑trustworthy outcomes.
Core Work Domains- Discovery & Research (plan, conduct, synthesize)
- Design & Prototyping (flows, IA, interactions, prototypes)
- Documentation & Handoff (specs, annotations, acceptance criteria support)
- Validation (usability testing, iteration, quality verification)
- Standards (accessibility, consistency, design system usage)
- AI Acceleration (synthesis, ideation, workflow automation with guardrails)
Scope:
Major initiatives and cross‑team delivery outcomes.
Design Responsibility: final UX quality gate for initiative; owns delivery trade‑offs with product/engineering partners.
Typical experience guidance: 7–12+ years with proven initiative ownership and mentorship.
Key Responsibilities- Define, ensure alignment, and communicate a shared UX vision across the initiative or product family, bringing together multiple work streams into a cohesive experience direction.
- Drive throughput: break down work, assign/coordinate across designers, and manage delivery dependencies.
- Provide final design review and quality gate across the initiative; ensure consistency and accessibility.
- Contribute hands‑on to complex/high‑risk areas; unblock delivery as needed.
- Mentor heavily: coaching, critique leadership, skill development and confidence building.
- Lead adoption of AI‑enabled workflows for the initiative while enforcing quality guardrails.
- Lead adoption of AI‑enabled workflows across the initiative.
- Identify high‑value opportunities to accelerate delivery through AI while maintaining the quality and coherence of the user experience.
- Actively encourage the team to use AI tools for realistic prototyping; ensure this capability is supported, practiced, and evaluated as part of the initiative's design workflow.
- Define and enforce guardrails for AI use within the team—what requires human review, what can be AI‑accelerated, and what should not be AI‑assisted.
- Hold the quality gate on AI‑assisted work that ships.
- Coaching and developing team AI fluency; ensure designers have the skills and judgment to use AI tools responsibly and effectively.
- Maintain accountability for AI‑assisted work across the initiative; ensure outputs are traceable, validated, and meet quality, accessibility, and user trust standards before shipping.
- Demonstrated ability to own end‑to‑end UX quality across a major initiative or product family, with accountability for outcomes.
- Experience coordinating design work across multiple designers or work streams—breaking down work, managing dependencies, unblocking delivery.
- Strong mentorship track record; able to develop designer capability, build confidence, and lead critique culture.
- Balances hands‑on design contribution with initiative‑level coordination and stakeholder alignment simultaneously.
- Sets the standard for design communication across the initiative — from critique and feedback to stakeholder alignment and delivery trade‑offs.
- Experience running design programs or initiatives spanning multiple teams or product areas.
- History of improving team delivery practices—review cadence, critique quality, handoff consistency.
- Experience working within or enforcing design system governance across teams.
- Familiarity with AI‑enabled design workflows and experience governing their responsible use.
- Experience with resource planning or capacity management for a design function.
- Initiatives deliver high‑quality UX outcomes on time with reduced rework.
- Teams move faster due to…
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