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Job ID: 189564

Data Services Manager (0599U) - 35381
University of California, Berkeley

Date Posted Jul. 8, 2022
Title Data Services Manager (0599U) - 35381
University University of California, Berkeley
Berkeley, CA, United States
Application Deadline Open until filled
Position Start Date Available immediately
  • Professional Staff
  • Information Technology

Data Services Manager (0599U) - 35381

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

Based out of the Division of Social Sciences and part of the Division of Computing, Data Science, and Society, D-Lab is a research accelerator, equipping scholars with the necessary knowledge, skills, and tools for cutting edge research. And, the D-Lab is a research incubator, co-constructing expansive communities of practice. D-Lab works with Berkeley faculty, research staff, and graduate students to advance data-intensive social science and humanities research. We support the exploration, development, dissemination, and application of methodologies, toolkits, and resources for engaging with next-generation data sources using innovative analytics. We think of data as a capacious category, one that is constantly changing as the research frontier moves. D-Lab's signature focus is research design - intelligent, rigorous, and tuned to the transformative opportunities opened up by a data- and computationally-rich world.

D-Lab provides cross-disciplinary resources for in-depth consulting and advising, access to staff support, and training and provisioning for software and other infrastructure needs. We offer a collaborative venue for intellectual and methodological exchange. Networking with other Berkeley centers and facilities and with our departments and schools, we offer our services to researchers across the disciplines and underwrite the breadth of excellence of Berkeley's graduate programs and faculty research.

D-Lab's user base is strongly interdisciplinary and campus-wide, including the professional schools as well as disciplinary departments. It serves more than 2000 researchers yearly with public and private workshops, consulting, events, working groups, data services, and other academic programs, like the year-long Computational Social Sciences course, and the Digital Humanities Summer Minor and Certificate Program. D-Lab has a strong culture of responsiveness to users and internal empowerment of professional and graduate staff. It is an internally differentiated organization with several teams while maintaining a relatively flat organizational structure.

Application Review Date

The First Review Date for this job is: 05/20/2022, for full consideration, please apply by June 10, 2022.


Develops, maintains and directs archival operations and related data services for D-Lab data archives and repositories, applying advanced professional concepts to perform highly complex responsibilities in the following data specialties:

  • Collection Development: Develops and manages D-Lab's collection of social and economic datasets, including acquisition of new datasets, and continued development and evolution of data archive policies such as data citation, documentation, and metadata policies.
  • Reference & Consultation: Serves as a reference source providing data support services to researchers using data resources and other information resources in a wide range of formats, languages, and disciplines.
  • Analysis: Leads and implements data use, management, analysis and visualization on a project by project basis.
  • Presentations: Develops and conducts presentations and workshops on data resources for students and staff researchers at the D-Lab, elsewhere on campus, and with external partners.
  • Inter-archive services: Negotiates, establishes, and interprets shared data service agreements with other institutions.
  • Documentation: Develops metadata and related documentation for archival collections and online resources.
    • Integrates current and new holdings for online analysis.
    • Directs the design and development of the online presence for data holdings in the archive, such as the IGS Polls.
    • Establishes and implements preservation policies and holdings.
  • Addresses issues surrounding data security, data privacy, and protection of sensitive data for staff and researchers.

As Co-Director for the California Federal Statistical Research Data Center at Berkeley, or Berkeley FSRDC, develops data resources, support, and infrastructure in the following areas:

  • Evaluates users' specific research needs, identifies appropriate resources, and evaluates and consults on complex, multi-year research proposals.
  • Negotiates and facilitates data use agreements with researchers, the Census Bureau, and other institutions.
  • Negotiates project hosting and researcher access usage fees for data available within the Berkeley RDC with external organizations.
  • Develops funding strategies and resources for support of the RDC, develop multi-institution partnerships to broaden usage and secure financial resources.
  • Provides outreach, communications and web resources to reach researchers with potential projects requiring restricted access data.

Serves as a liaison or representative to the CA Census State Center network, Federal Statistical Research Data Center network, ICPSR, and the Roper Center; manages listserv for National State SDC network.

Senior Management for D-Lab:

  • Participates in the management of computing resources for data support and access, including coordination of hardware and software purchase and, monitoring of software license agreements, and coordination with collaborators and vendors.
  • Designs and develops data collection and analysis of organizational administrative data and survey data for program assessment and strategic planning, using Qualtrics, Drupal, R and/or Python.
  • Designs, collects and manages data use agreements for collaborative collections.
  • Participates in the development of D-Lab agreements, contracts, and grants.

Required Qualifications

  • Possesses and conveys an in-depth understanding of at least two of the following data types:
    • Administrative data, geospatial data, survey data, social media data, text data or instrument collected data, and has extensive familiarity with two more.
    • This knowledge may be acquired through considerable experience, possibly in combination with specialized training and skills or relevant academic preparation.
  • Demonstrated ability to work with others from diverse backgrounds.
  • Demonstrated effective communication and interpersonal skills.
  • Excellent working knowledge of:
    • Data repositories like ICPSR, Roper, Github or Dataverse;
    • Linking across and within major domains of data (e.g. economic, education, health, demographic, international, criminal justice, environment etc.);
    • Data producers (e.g. Census, BLS, CDC, USGS, NOAA, Twitter, Academic, State);
    • Statistical software, such as R, Stata, SPSS, or Python; and Data collection software like Qualtrics.
  • Demonstrated knowledge of legal and ethical limitations on disclosure and/or restricted use data (e.g. HIPAA, CPHS, GDPR) and of relevant rules and regulations.
  • Advanced knowledge of data management systems, practices and standards.
  • Demonstrated ability to communicate technical information to technical and non-technical personnel at various levels in the organization.
  • Demonstrated ability to communicate technical information to technical and non-technical personnel at various levels in the organization.
  • Self-motivated and works independently and as part of a team.
  • Strong organizational skills.
  • Demonstrated advanced problem-solving skills.
  • Able to learn effectively and meet deadlines.
  • Advanced analytical and design skills, including the ability to abstract information requirements from real-world processes to understand information flows in computer systems.
  • Ability to represent relevant information in abstract models.
  • Critical thinking skills and attention to detail.


  • Bachelor's degree in related area and/or equivalent experience/training.

Preferred Qualifications

  • Advanced professional knowledge enabling the performance of a full range of management, coordinating, and/or highly specialized functional subject area research activities.


  • PhD in related area and/or equivalent experience/training highly preferred.

Salary & Benefits

This is a 12-month, full-time (40 hours/week), Contract Appointment, eligible for full UC benefits with the possibility of extension. This is an exempt position which is paid monthly, annual salary is commensurate with experience. For information on the comprehensive benefits package offered by the University visit:

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:
For the complete University of California nondiscrimination and affirmative action policy see:


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