Diversity, Equity, Accessibility, and Inclusion at Getty: Getty believes diversity, equity, accessibility and inclusion are essential to our excellence and to the execution of our mission. The Getty community values differences in the pursuit of inquiry and knowledge, mutual understanding, respect, trust, transparency, and cooperation. We are committed to creating a diverse and welcoming workplace that reflects the diversity of the communities we serve and includes individuals with diverse backgrounds and experiences. Individuals of color, women, LGBTQIA+, veterans and persons with disabilities are encouraged to apply. Job Summary:
The Office of the Associate Director for Research and Knowledge Creation at the Getty Research Institute seeks a creative candidate with strong partnership skills who will play a key role in developing the data infrastructure and assisting with the data needs of a vibrant division that sustains key resources and databases related to the study of art, architecture, and cultural heritage. The main duties will be to contribute to an array of data transformation, analysis, and facilitation activities for two product teams, the Getty Provenance Index and the Getty Vocabularies Program, both of which are moving to or have already transitioned to a Linked Data environment. The ideal candidate will execute and manage complex data tasks across the cycle of extraction, manipulation, analysis, and ingestion, while also advising on and helping to implement streamlined data-oriented workflows across the division. This position will report directly to the Associate Director for Research and Knowledge Creation.
Major Job Responsibilities:
- Transforms, reconciles, analyzes, and disseminates data of a high degree of complexity, including raw text data produced by Optical Character Recognition and data structured in various formats as contributed by a range of contributors and institutions
- Exercises expert knowledge of established standards and best practices related to data workflows and the semantic web
- Applies and investigates methods of computational analysis and the use of data management and analysis tools to execute and manage complex data tasks across the cycle of extraction, manipulation, analysis, and ingestion
- Provides guidance and mentorship to professional staff
- Provides management to consult on, design, and implement data workflows and management practices
- May provide service to the profession and contribute to new scholarship
- Analyzes highly complex problems, directs, and implements solutions, including recommending new standards, best practices, and approaches to data workflows
- Work in partnership internally across the division and with other Research Institute divisions, in addition to working closely with Getty Digital
- May research, plan, and manage projects
- May work in partnership on the development of data management plans and guidelines
- Engages in community management by contributing to the recommendation and implementation of policies and standards
Qualifications:
- Masters degree in data science, information and/or library science, or related discipline
- Minimum 7 years related professional experience
- Demonstrated experience working with Python, JSON, CSV, and XML, knowledge of R and CIDOC-CRM or linked.art schema highly desirable; will require developing expertise with JSON-LD and SPARQL
- Experience working with cultural heritage data
- Knowledge of and/or experience working in the visual arts, library, and/or archives domains highly desirable
Requirement: All employees must be fully-vaccinated against the COVID-19 virus as a condition of employment. Exemptions from this requirement as a reasonable accommodation due to medical contraindication, disability or sincerely held religious belief or practice will be considered. Knowledge, Skills and Abilities:
- Demonstrated capacity to partner with colleagues from various domains and on evolving projects with high levels of complexity
- Advanced project management skills
- Expert knowledge of established standards and best practices relevant to humanities data, linked data, and data ethics
- Expert-level facility with systems and computational techniques required to perform work duties, namely data management, digital asset management, thesaurus construction, data integration
- Background in technical report writing and programming languages
- Excellent communication skills
- Ability to conceptualize work products within broader GRI goals
- Advanced knowledge of new developments in the profession; requires experience with knowledge graphs and the semantic web
- Excellent analytical and problem solving skills
- An interest in pedagogy, technological training, and facilitating knowledge transfer
- Familiarity with linked data and its use by the academic research and library community; familiarity with humanities applications are highly desirable.
- Demonstrated resilience, diplomacy, influence, relationship building, and problem-solving skills in a variety of situations
- Demonstrated ability to work with a wide variety of audiences
Benefits and Perks:
Here are just some examples that Getty offers/provides for full-time employees:
- Medical, Dental and Vision insurance coverage, starting on date of hire. Getty pays 75%-95% of the premium, depending on the plan selected.
- 403(b) Employee Investment retirement plan – with up to 5% Getty Match
- Getty contribution of 6%, on behalf of employee, to 401(a) retirement account
- Educational Assistance and professional development
- Paid Vacation, Sick and Personal Days
- 12 Paid Holidays
- Many positions have bi-weekly Off-Fridays
- On-Site Fitness Center at Getty Center
- Community service opportunities
To learn more about our comprehensive benefits and long list of perks, go to Getty HR.
Equal Opportunity Employer: We are proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship or immigration status, color, disability, ethnicity, familial status, gender identity and/or expression, genetic information, marital status, national origin, race, religion, sex, sexual orientation, veteran status, or any other protected status.