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As a Senior Data & AI Designer, you will have the opportunity to bring together the Design and Data & AI domains, designing solutions that have a real impact on staff and patient experiences. This includes developing intuitive ways of interacting with data through visual analytics, enhancing human-AI collaboration by designing AI interactions, creating customer-centric data collection experiences to improve data quality (UX Telemetry), and ensuring these insights integrate seamlessly into workflows and care pathways. You will collaborate with both designers and non-designers, engaging in technical dialogues to ensure our experience perspective is well embedded.
You are responsible for:
You are a part of:
The Data & AI Design team, a group of designers with expertise in UX, visualization, user experience research, prototyping, and service design. The team is part of a global community of over 400 designers, working on both business and research-driven projects.
To succeed in this role, you should have the following skills and experience:
How we work together:
We believe that we are better together than apart. For our office-based teams, this means working in-person at least 3 days per week. Onsite roles require full-time presence in the company’s facilities. Field roles are most effectively done outside of the company’s main facilities, generally at the customers’ or suppliers’ locations.
About Philips
We are a health technology company. We built our entire company around the belief that every human matters, and we won't stop until everybody everywhere has access to the quality healthcare that we all deserve. Do the work of your life to help the lives of others.
Philips is a leading health technology company focused on improving people’s lives across the health continuum – from healthy living and prevention, to diagnosis, treatment and home care. Applying advanced technologies and deep clinical and consumer insights, Philips delivers integrated solutions that address the Quadruple Aim: improved patient experience, better health outcomes, improved staff experience, and lower cost of care.
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