Jie Zangs

Jie Zangs

Senior UX/UI Designer @ Thomson Reuters

About Jie Zangs

Jie Zangs is a Senior UX/UI Designer who leads a product design squad focused on healthy UX practices and community skill growth. With extensive experience in various design roles, Jie emphasizes empathy, problem-solving, and the creation of user-centered products.

Current Role as Senior UX/UI Designer

Jie Zangs currently serves as a Senior UX/UI Designer at Thomson Reuters, a position held since 2022. In this role, Jie leads a product design squad that emphasizes healthy UX practices and fosters a community for skill development among team members. Jie focuses on creating inclusive environments and strives to design products that meet users' needs with a custom-built feel.

Previous Experience at Thomson Reuters

Prior to the current role, Jie Zangs worked at Thomson Reuters as a Senior UI/UX Designer from 2018 to 2022. During this time, Jie served as Squad Lead for one year and contributed to various design projects, utilizing an iterative design process to enhance product outcomes. This experience provided a foundation for Jie's current responsibilities.

Education and Design Background

Jie Zangs studied at Luxun Academy of Fine Arts, where they focused on interactive and visual design, earning a degree in Graphic Design from 2008 to 2012. This educational background laid the groundwork for Jie's career in UX/UI design, enabling a strong understanding of design principles and user experience.

Technical Skills and Tools

Jie Zangs possesses advanced knowledge of various industry-standard UX tools, including Sketch, InVision, Abstract, Figma, Adobe Creative Suite, Jira, Lucidchart, Miro, and Hotjar. This expertise allows Jie to effectively execute design projects and collaborate with team members in creating user-centered solutions.

Professional Interests and Emerging Technologies

Jie Zangs has a keen interest in emerging technologies, particularly in areas such as decentralized finance (DeFi), blockchain, artificial intelligence (AI), and machine learning. This interest informs Jie's design approach, particularly in simplifying complex technological experiences for end-users.

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