Chief Research Data Architect Position
2 weeks ago
The University of California Los Angeles (UCLA) is seeking a visionary Chief Research Data Architect to enable data-driven research and scholarship at an R1 university with a focus on data science, AI, HPC, and cloud computing. This role requires strong relationship building and excellent communications skills across a variety of campus communities to create trust among UCLA researchers and the UCLA research data enterprise.
Key Responsibilities
As a Chief Research Data Architect, the ideal candidate will leverage an extensive data engineering background and experience collaborating with data scientists to help build UCLA's next generation research data and computing environment and collaborate with stakeholders to create supportive data services to enable cutting-edge academic research. The ideal candidate will have proven skills in collaborating with the research community and key stakeholders to create supportive data services to enable cutting-edge academic research. This will include continually assessing and evolving the data-driven technology landscape as academic research needs change and technology evolves. This role offers a unique opportunity to play a key role in shaping the research technology and data landscape for UCLA.
Requirements
The Chief Research Data Architect will collaborate directly with UCLA researchers across a multitude of disciplines and faculty-led research committees, such as the Institute for Digital Research and Education (IDRE) and DataX, to understand and gather requirements and collaborate on ongoing strategic directions. This role will work closely with internal peers across the OARC management team, OARC research experts and computational scientists, and a variety of campus partners, including, but not limited to IT Services, the Office of the Chief Information Security Officer, the Library, Academic Organizations, Professional Schools, and department level IT to understand local research and data support needs. In partnership with collaborators, the CRDA will publish and present white paper strategies that facilitate campus planning.
Preferred Qualifications
Contributions to open-source projects or community involvement. Experience in architecting solutions for generative and traditional AI models. Direct data science and AI project experience and/or contributions.
How to Apply
To apply, please visit: https://jobs.ucla.edu/careers-home/jobs/4197
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