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Data Hub Service Lead (0657U) - 12844

Employer
University of California, Berkeley
Location
San Francisco

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Employment Type
Full Time
Institution Type
Four-Year Institution


Data Hub Service Lead (0657U) - 12844 About Berkeley

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.

Departmental Overview

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 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, and advocating for its broad constituency and mission-focused portfolio with campus policy makers and vendors. 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. The Data Hub Service Lead will use skills as a seasoned, experienced professional to lead and design a service that supports effective delivery of interactive computing environments to educators and students using the DataHub; resolves a wide range of business processing challenges. This is a full-time position in a career appointment.

Responsibilities

DataHub Service Lead:
  • Acts as Service Lead for the campus DataHub.
  • Serve as functional owner of the UC Berkeley DataHub.
  • Coordinate integration with and serve as a functionality liaison with other services, e.g., the learning management system (bCourses).
  • Identify and execute on creative, strategic and business opportunities across campus.
  • Coordinate with technical teams to guide development and deployment of the DataHub service.
  • Participate with key stakeholders and governance groups to develop Campus-wide data science service strategy.
  • Coordinate with cloud vendors to ensure the continued service of the DataHub on any vendor infrastructure.
  • Develop and communicate service roadmap.
  • Create/negotiate service and operating level agreements.
  • Identify and advocate for appropriate support resources needed to deliver service within established service levels.
  • Establish and maintain support model and service documentation (e.g., knowledge base, trainings/workshops, consultations, web-presence, etc.).
  • Define support processes, key performance indicators, and partnerships/contracts are in place to deliver the service within established service levels.
  • Coordinate with the Project Management Office (PMO) for service transition projects: rollout (operationalization), improvements, and decommissioning.
  • Monitor and report on critical success factors and key performance indicators of the service.
  • Manage service communications to stakeholders, constituents, and customers; and coordinate feedback from the community regarding future directions.
  • Participate in incident/problem management.
  • Establish and document partnerships via MOU.
  • Ensure continuity of operations.

DataHub Design Lead:
  • Leads in cross-functional service design for individual and departmental users.
  • Develop and implement strategies to promote the service.
  • Adapt outreach and communications efforts to different audiences: instructors, students, staff.
  • Provide technical expertise in identifying, evaluating, and developing complex systems and procedures.
  • Gather, analyze, prepare, and summarize business and user needs, documenting requirements, and revising existing system logic difficulties as necessary.
  • Validate requirements against needs.
  • Apply business systems concepts to design details of complex automated systems.
  • Keep abreast of trends and development in the field.
  • Present at professional conferences.
  • Pursue relevant training and certification as part of a professional development plan.
  • Other duties as assigned by supervisor.

Required Qualifications
  • 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.

Education/Training:
  • Bachelor's degree and/or equivalent experience/training.

Preferred Qualifications
  • 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 & 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:

https://ucnet.universityofcalifornia.edu/compensation-and-benefits/index.html

How to Apply

Please submit your cover letter and resume as a single attachment when applying.

Conviction History Background

This is a designated position requiring fingerprinting and a background check due to the nature of the job responsibilities. Berkeley does hire people with conviction histories and reviews information received in the context of the job responsibilities. The University reserves the right to make employment contingent upon successful completion of the background check.

Equal Employment Opportunity

The University of California is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status. For more information about your rights as an applicant see:

https://www.eeoc.gov/sites/default/files/migrated_files/employers/poster_screen_reader_optimized.pdf
For the complete University of California nondiscrimination and affirmative action policy see:
http://policy.ucop.edu/doc/4000376/NondiscrimAffirmAct



To apply, visit https://careerspub.universityofcalifornia.edu/psp/ucb/EMPLOYEE/HRMS/c/HRS_HRAM.HRS_APP_SCHJOB.GBL?Page=HRS_APP_JBPST&Action=U&FOCUS=Applicant&SiteId=21&JobOpeningId=12844&PostingSeq=1





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