
Ai-powered User Experience Leader
2 weeks ago
This position is focused on leading the design and development of AI-powered tools and user experiences that inform data-driven decisions.
You will work closely with cross-functional teams to ensure every solution is intuitive, accessible, and impactful.
Key Responsibilities: Lead UX strategy for commercial AI products, focusing on usability, trust, and adoption across various personas.
Design intelligent user interfaces that translate complex AI/ML outputs into actionable workflows.
Collaborate with product leads, data scientists, CRM architects, and omnichannel strategists to align business goals with user needs and technical feasibility.
Develop end-to-end design solutions, from user research to high-fidelity UI, ensuring seamless collaboration with front-end developers.
Guide the evolution of a commercial design system, aligning with the company's brand and scaling across multiple tools and platforms.
Act as a UX evangelist, presenting to senior stakeholders and influencing design thinking across regions and business units.
Requirements: Experience working with AI/ML teams and translating model outputs into usable, transparent, and explainable UIs.
Strong technical fluency in frontend technologies and familiarity with enterprise-scale design system implementation.
Exceptional communication and stakeholder engagement skills, with the ability to present design rationale to cross-functional teams and senior leadership.
Proficiency in Figma, Adobe XD, or similar tools, and experience with accessibility and compliance in regulated environments.
Experience designing solutions for commercial functions in pharma, life sciences, or healthcare.
Desirable Requirements: Bachelor's or Master's degree in computer science, engineering, business, or related field.
7+ years of experience in UI/UX design or UX engineering, with at least 2 years in a leadership or high-impact role within large-scale commercial environments.
A proven track record of designing AI-integrated interfaces for sales, marketing, CRM, or omnichannel platforms.
Strong understanding of human-centered design, information architecture, and user psychology, especially in data-rich or decision-support environments.
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