- Partner with Product Management and Architecture to define experience strategy across key platform
areas — shaping not just what we build, but how intelligent, AI-driven capabilities are surfaced and experienced.
- Lead problem framing and user insight development for complex supply chain workflows, leveraging a
mix of user research, data, and AI-assisted discovery techniques to uncover high-impact opportunities.
- Translate ambiguity into clear experience direction using appropriate fidelity — from rapid concepts to
information architecture, wireframes, prototypes, interaction models, design specifications, and polished high-fidelity UI designs.
- Design AI-centered user experiences that leverage recommendation systems, intelligent automation,
conversational interfaces, predictive intelligence, decision-support workflows, and agentic interaction models.
- Use AI-assisted workflows throughout the UX process — including research synthesis, ideation,
prototyping, content generation, design exploration, usability analysis, and documentation acceleration.
- Drive continuous validation and learning, combining qualitative and quantitative methods to evaluate
experience effectiveness and inform product decisions.
- Collaborate deeply with engineering teams to ensure high-quality implementation — iterating in real
time, influencing trade-offs, and ensuring experiences meet a high bar for usefulness, usability, and polish.
- Act as a strong UX voice in cross-functional decision-making, advocating for user and business
outcomes while helping teams navigate complexity and ambiguity.
- Shape and scale design systems and interaction patterns that support consistency while enabling
innovation — particularly for AI-driven and data-rich experiences.
- Contribute to a culture of design excellence and innovation, raising the bar for craft, systems thinking,
and the role of UX in an AI-centered product development lifecycle.