Reporting to the Associate University Librarian for the Digital Scholarship and Technology Services division at Washington University Libraries, the Head of Data Services oversees a team of professionals in the Data Services unit. Focus areas of the incumbent will include performing administrative duties for the leadership and direction of the Data Services unit; directing the research support services in the Libraries that support scholarly needs for GIS, research data management, and data curation; overseeing technical infrastructure, spaces, and resources supported by Data Services for GIS and spatial data services, research data curation, data visualization, and data analytics services in the Libraries; leading the development and implementation of education and outreach programming; and fostering collaborations within and outside of the Libraries to support data-intensive research.
PRIMARY DUTIES AND RESPONSIBILITIES:
Managerial Leadership: Provide leadership, vision, and direction for the Data Services program. Lead the work of collaborating staff, coordinate Libraries-wide work and program, and facilitate organizational contributions of the program with visible leadership that promotes a culture of performance. Initiate and lead the planning, implementation, and assessment of program services and activities in alignment with Library strategic directions. Lead the planning, development and implementation of a comprehensive Library-wide scholarly communication program, including research services, education and outreach programming, and policy protocols.
Performance Management: Hire, train, direct, and mentor staff to carry out duties at the expected high level of performance, and regularly assess staffing performance effectiveness with clearly articulated performance expectations and regular, timely feedback in alignment with organizational processes and standards.
Workplace Management: Develop, implement, and assess short- and long-term strategies for conducting unit services and key project activities; manage and regularly evaluate assignment of work and responsibilities for effective accomplishment of unit objectives; and manage an inclusive and equitable work environment for operations.
Managerial Communication: Consistently demonstrate accurate, timely, informed, bi-lateral communications relevant to unit, organizational, and institutional issues, and manage unit awareness of organizational communications, including unit requirements and goals resulting from organizational strategy.
Direct the development and implementation of research support services and other programmatic initiatives to the WU campus for GIS, research data curation, data management, and related areas to advance the Libraries’ support of scholarly research needs; lead the implementation of education and outreach in collaboration with Library colleagues for GIS, research data curation, data management, and related areas. Coordinate and facilitate DS staff consultations with faculty and researchers in the WU community to promote data management, data curation, and campus resources that support data-intensive research.
Foster collaborations within and outside of the Libraries to support research data activities
Work in collaboration with Library Technology Services and other relevant Libraries staff to manage technical infrastructure, software, and spaces for research data services, including the Research Studio, the Data Visualization and Exploration space; and computational tools for spatial data/GIS and research data management.
Build collaborations with key campus partners—including Becker Medical Library, WUIT, College of Arts & Sciences, Student Technology Services, and Humanities Digital Workshop—to provide research services and resources that support data management, data curation, and other data-intensive research activities to faculty, researchers, and students in the WU community. Facilitate collaborations with other relevant external stakeholders.
Engage in professional activities and investigate emerging technologies and services in data curation, data services, and GIS for appropriateness for the WU community. Represent WUSTL and WU Libraries nationally and internationally in professional associations and relevant forums for GIS, research data management, and data science. Perform other duties as assigned or as needed.
Bachelor’s in related field plus at least 5 years of relevant experience; or Master’s degree in Information Sciences, GIS, data science, or other related fields; or an equivalent combination of education and years of relevant work experience
Knowledge of trends, issues, and resources in data curation, GIS, data management, and/or data visualization in scholarship and research applications
Demonstrated knowledge of data curation and data management standards, approaches, and tools
Demonstrated experience with GIS research methods, tools and software, and applied scholarship
Experience in managing user-centered services
Demonstrated ability to collaboratively plan, coordinate, and implement effective projects, both independently and in a team environment; and manage multiple and simultaneous projects
Demonstrated experience in leading a team in planning, developing, and implementing short-term initiatives and/or long-term services
Ability to work with faculty and researchers in consultations
Ability to learn new technologies and train others in their uses
Demonstrated project management experience with complex digital initiatives involving many stakeholders
Advanced graduate degree in information sciences, computer science, GIS, data science, and/or another relevant field
At least 3 years of supervisory experience, especially in oversight of digital infrastructure and projects
Experience working in a large academic, cultural heritage, or research institution
Familiarity with scholarly workflows and research practices
Demonstrated experience in implementing services and infrastructure for data curation and data management
Demonstrated experience with database design and development, and management and deployment
Advanced knowledge of GIS tools, methods, and spatial data management
Advanced knowledge of data analytics in the sciences and/or social sciences
Experience with repository systems such as Fedora Commons, Hydra/Samvera, Islandora, DSpace, or other digital library applications and standards
Familiarity with non-MARC standards-based metadata and application, such as Dublin Core, MARC, METS, EAD, or OAI-PMH
A working understanding of code and script (e.g., R, Python, PHP, Ruby, Java)
Strong organizational skills and demonstrated ability to manage projects
Strong interpersonal skills, demonstrated ability to work in a collaborative team-based environment, and to communicate well with IT and non-IT staff
Demonstrated ability to write clear documentation
Ability to operationalize project requirements
Demonstrated capability as a self-starter
Ability to work and thrive within a rapidly changing professional environment