Player-coach who owns initiative outcomes, balances throughput, and is accountable for vision and quality of delivered solutions. UX Job Family Overview User 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) Level Scope & Accountability 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 workstreams 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. AI & Innovation Expectations Lead adoption 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. Enforce quality 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. Develop capability Coach and develop team AI fluency. Ensure designers have the skills and judgment to use AI tools responsibly and effectively — not just efficiently. Responsible use Maintain accountability for AI-assisted work across the initiative. Ensure outputs are traceable, validated, and meet quality, accessibility, and user trust standards before shipping
Stand Out From the Crowd
Upload your resume and get instant feedback on how well it matches this job.
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed