Location: Main Campus-Berkeley
Job ID: 12844
At the University of California, Berkeley, we are committed to creating a community that fosters equity of experience and opportunity, and ensures that students, faculty, and staff of all backgrounds feel safe, welcome and included. Our culture of openness, freedom and belonging make it a special place for students, faculty and staff.
The University of California, Berkeley, is one of the world’s leading institutions of higher education, distinguished by its combination of internationally recognized academic and research excellence; the transformative opportunity it provides to a large and diverse student body; its public mission and commitment to equity and social justice; and its roots in the California experience, animated by such values as innovation, questioning the status quo, and respect for the environment and nature. Since its founding in 1868, Berkeley has fueled a perpetual renaissance, generating unparalleled intellectual, economic and social value in California, the United States and the world.
We are looking for equity-minded applicants who represent the full diversity of California and who demonstrate a sensitivity to and understanding of the diverse academic, socioeconomic, cultural, disability, gender identity, sexual orientation, and ethnic backgrounds present in our community. When you join the team at Berkeley, you can expect to be part of an inclusive, innovative and equity-focused community that approaches higher education as a matter of social justice that requires broad collaboration among faculty, staff, students and community partners. In deciding whether to apply for a position at Berkeley, you are strongly encouraged to consider whether your values align with our Guiding Values and Principles, our Principles of Community, and our Strategic Plan.
This is a shared position between the Division of Computing, Data Science, and Society (50%) and Research, Teaching and Learning Services (50%).
The Division of Computing, Data Science and Society (CDSS) brings together programs, schools, and departments from across campus to create rich educational opportunities and ignite groundbreaking research to meet society's greatest challenges. Over the past 5 years CDSS has scaled from a small server for teaching the popular Data 8 class, to the cloud-based educational Juptyerhub for teaching to thousands of users in dozens of departments across campus, the Berkeley DataHub. UC Berkeley has one of the premier deployments of a teaching Jupyterhub, and supporting this includes engineering new tools, developing novel curriculum, and documenting user practices. '
Research, Teaching, and Learning (RTL) supports the teaching and research needs of Berkeley faculty, students, and academic staff by offering expert consulting, providing vetted tools and essential services, and advocating for its broad constituency and mission-focused portfolio with campus policy makers and vendors. The combination of enterprise teaching and research technology groups within RTL improves coordination across functions; provides a richer, more seamless experience for end users; and creates opportunities for innovation. RTL has dual reporting lines to the Vice Chancellor for Undergraduate Education and the Office of the CIO.
Approach to Diversity, Inclusion, and Belonging:
Research, Teaching, and Learning and the Division of Computing, Data Science and Society believe in and foster a workplace environment where people can bring their diverse skills, perspectives and experiences toward achieving our goals through a process of critical inquiry, discovery, innovation, while simultaneously committing to making positive contributions towards the betterment of our world. Diversity, Inclusion, and Belonging are more than just suggestions for us. They are the guiding principles underlying how we come together, develop leaders at all levels of the organization, and create an environment that unites us. We affirm the dignity of all individuals, call upon our leaders to address critical issues with integrity and intention, respect our differences as well as our commonalities, and strive to uphold a just community free from discrimination and hate.
About the Position
The Data Hub Service Lead will lead and coordinate efforts around designing and scaling the Berkeley DataHub - a service that provides interactive computing environments to educators and students across campus using open source tools in the Jupyter ecosystem and beyond. This position will directly interact with Faculty, IT Support and the DevOps backend team, and provide training, communications, and resources to a range of users. It will also interface with open source communities that develop tools we use in our deployments - in particular the Jupyter community and the Jupyter team at UC Berkeley.
Over the past 5 years the UC Berkeley DataHub has scaled from a small server for launching the popular Data 8 class, to the cloud-based educational hub for teaching to thousands of users in dozens of departments. UC Berkeley has one of the premier deployments of a teaching Jupyterhub, and supporting this includes engineering new tools, developing novel curriculum, and documenting user practices. This role will oversee the evolution and development of the DataHub to ensure that it continues to serve the educational community at Berkeley.
This role is split between two organizations: The Division of Computing, Data Science and Society (CDSS) brings together programs, schools, and departments from across campus to create rich educational opportunities and ignite groundbreaking research to meet society's greatest challenges. Research, Teaching, and Learning (RTL) supports the teaching and research needs of Berkeley faculty, students, and academic staff by offering expert consulting, providing vetted tools and essential services. This is a full-time position, in a career appointment, jointly funded by these two organizations.
- Advanced knowledge of business and process analysis functions.
- Experience with open source communities and development practices.
- Demonstrated skills needed to develop conversion process and system implementation plans.
- Demonstrated effective communication and interpersonal skills.
- Demonstrated ability to communicate technical information to technical and non-technical personnel at various levels in the organization.
- Interpersonal and communications skills to work with both technical and nontechnical personnel at various levels in the organization.
- Experience with the Jupyter ecosystem in an educational context.
- Knowledge relating to the design of applications programs in an academic setting.
- Advanced skills associated with programming design, modification, and implementation.
- Bachelor's degree and/or equivalent experience/training.
- Demonstrated experience with process analysis, systems analysis, process architectures and systems analysis methodologies and practices including traditional waterfall, Agile, Agile Scrum, UML, UML Enterprise, et cetera.
- Knowledge of department processes and procedures.
Salary and Benefits
This is an exempt, monthly paid position. Annual salary is commensurate with experience.
For information on the comprehensive benefits package offered by the University visit: