Digital Library Data Manager

Job Description This position is being dual posted at the Data Analyst 2 and Data Analyst 3 levels. About Stanford Libraries Stanford Libraries is a network of over 15 libraries with over 400 employees. We are committed to fueling the teaching, learning and research across Stanford by acquiring, stewarding, and making available a robust collection, currently in excess of 12 million items. Everyone in the organization plays a vital role in fulfilling that objective. Our dedication to discoverability and information management also has us engaged in dynamic global partnerships. We are constantly building and strengthening our organization, and we recognize striving for excellence is a marathon and not a sprint. We are constantly trying to strike the right pace and admit there are times when we find ourselves at a fast jog. While we hope to always find candidates who fit within our organization, what we truly seek is someone who will add to our culture, our profession as well as the greater academic arena. We are invested in the success of our teams and the individuals that represent Stanford Libraries. Stanford University Libraries (SUL) seek a curious and driven Data Manager to join its Digital Library Systems and Services (DLSS) team. Including digital library service managers, product owners, systems analysts, business analysts, data scientists, and project managers, DLSS is the division within SUL responsible for the development, promotion, delivery, and continuous improvement of digital library services for Stanford and the research community more broadly. The position reports to the Associate Director for Digital Library Services and has a base location on the historic campus of Stanford University in Stanford, California. The position is eligible for remote work. About The Position The Data Manager’s primary responsibility is to support and advance library operations, programs and services based on digital collections and administrative data, with a focus on the management, processing and analysis of metadata, files, and business workflows for a variety of digital content and pipelines. The Data Manager applies their data analysis skills and knowledge of library, archival and data science methods and standards with the goal of powering, extending and enhancing library services and the research enterprise at Stanford. The Role Has Several Distinct Areas Of Focus Engage in the deep‑dive analysis and integration of multi‑source research intelligence data. You will work closely with the team to understand, clean, and join complex metadata from various research platforms. This role involves creating bespoke data visualizations, building and maintaining dashboards, analyzing and summarizing research output data, and generating reports to meet internal and external stakeholder needs. Apply an experimental, data‑driven mindset to enhance digital content processing. Working collaboratively, investigate, apply and assess machine learning techniques for digital content processing workflows and services. Analyze and manipulate the Libraries’ extensive metadata stores—descriptive, structural, and administrative—to engineer the programmatic transformations required to migrate complex archival collections into modern management, discovery, access and analytics environments. Support data‑intensive processing operations for a host of library systems, including the ILS (FOLIO) and the Stanford Digital Repository. Serve as a technical and operational lead on intake, processing and accessioning of third‑party digital content, including large scale (petabyte‑level) digital collections and web archive packages. Develop new workflows to support the intake of web archive content from various capture systems and ingest them into Stanford systems for preservation and online display. Conduct audits, provide support and troubleshoot issues related to web archive capture and replay. Across these areas of focus, technical execution centers on building reproducible and scalable data workflows. This includes developing complex scripts for data automation; architecting ETL pipelines; and performing deep‑diving data analysis and remediation. The role will also operate and support pipelines once established. Beyond the code, this role acts as a technical translator, mapping ambiguous business requirements into rigorous data specifications. Functional responsibilities include identifying system‑wide patterns through issue tracking, designing technical documentation for complex workflows, and providing high‑level troubleshooting for data‑intensive systems. The successful candidate will navigate the space between experimental data science and operational pragmatism, possessing the persistence to debug a pipeline and the communication skills to explain its impact to stakeholders. Core Duties Serve as a lead on library data analysis and data science projects. Evaluate and develop new or modifications of usable data from complex data sources. Assess and produce relevant, standard, or custom information (reports, charts, graphs, and tables) from structured data sources by querying data repositories and generating the associated information. Devise methods for identifying patterns and trends in available information sources using a variety of qualitative and quantitative techniques. Determine and recommend additional data collection and reporting requirements. Design and customize reports based on data in the database. Distribute and disseminate reports to applicable agencies, researchers, management, and other internal end‑users. Create non‑routine databases and generate related information summaries. Perform statistical analyses appropriate to complex data and reporting requirements. Serve as a resource for non‑routine inquiries such as requests for statistics or surveys. Lead the implementation of data standards and common data elements for data collection. Collaborate with technical staff to standardize and systemize routine reports, dashboards, and metrics. May test prototype software and participate in the approval and release process for new software. The job duties listed are typical examples of work performed by positions in this job classification and are not designed to contain or be interpreted as a comprehensive inventory of all duties, tasks, and responsibilities. Specific duties and responsibilities may vary depending on department or program needs without changing the general nature and scope of the job or level of responsibility. Employees may also perform other duties as assigned. Qualifications Minimum Requirements Education & Experience At the Data Analyst 2 level, the incumbent will have a Bachelor's degree and three years of experience or a combination of education and relevant experience. Experience in a quantitative discipline such as economics, finance, statistics, or engineering. At the Data Analyst 3 level, the incumbent will have a Bachelor's degree and five years of experience or a combination of education and relevant experience. Experience in a quantitative discipline such as economics, finance, statistics, or engineering. Knowledge, Skills and Abilities In‑depth knowledge and experience using and applying analytical software, database management system software, database reporting software, database user interface and query software, and data mining software. Demonstrated ability to collect data using a variety of methods, such as data mining and hardcopy or electronic documentation study, to improve or expand databases. Intermediate statistical ability. Strong listening, verbal, and written communication skills. Ability to manage multiple activities in a deadline‑oriented environment; highly organized, flexible, and rigorous attention to detail. Ability to use logic to calculate data, efficiently construct a database or scrutinize the form of a question. Ability to work with data of varying levels of quality and validity. Demonstrated ability to produce data in a clear and understandable manner meeting user requirements. Ability to work effectively with multiple internal and external customers. Ability to take a leadership role on projects and with users/clients. Desired Qualifications Experience working in a digital archives or digital library environment, creating, enhancing or transforming digital content and metadata. Knowledge of library metadata standards, machine learning techniques, and data visualization platforms. A strong service orientation, with demonstrated experience working with customers to deliver products and services on time with a high level of professionalism. Physical Requirements Constantly perform desk‑based computer tasks. Frequently sit, sort, file paperwork or parts, grasp lightly, and use fine manipulation, lift, carry, push and pull objects that weigh 10 pounds or less. Occasionally write by hand, twist, bend, stoop and squat. Rarely stand, walk, reach, or work above shoulders and use a telephone. - Consistent with its obligations under the law, the University will provide reasonable accommodation to any employee with a disability who requires accommodation to perform the essential functions of his or her job. Working Conditions May work extended hours during peak business cycles. Work Standards Interpersonal Skills: Demonstrates the ability to work well with Stanford colleagues and clients and with external organizations. Promote Culture of Safety: Demonstrates commitment to personal responsibility and value for safety; communicates safety concerns; uses and promotes safe behaviors based on training and lessons learned. Subject to and expected to comply with all applicable University policies and procedures, including but not limited to the personnel policies and other policies found in the University’s Administrative Guide, . The expected pay range for this position at Level 2 is $108,002.00 to $128,138.00 and at Level 3 is $132,498.00 to $157,989.00 per annum. Stanford University provides pay ranges representing its good faith estimate of the salary wage the university reasonably expects to pay for a position upon hire. The pay offered to a selected candidate will be determined based on factors such as (but not limited to) the scope and responsibilities of the position, the qualifications of the selected candidate, departmental budget availability, internal equity, geographic location, and external market pay for comparable jobs. At Stanford University, base pay represents only one aspect of the comprehensive rewards package. Stanford is an equal employment opportunity and 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, protected veteran status, or any other characteristic protected by law. Why Stanford Is For You Imagine a world without search engines or social platforms. Consider lives saved through first‑ever organ transplants and research to cure illnesses. Stanford University has revolutionized the way we live and enrich the world. Supporting this mission is our diverse and dedicated 17,000 staff. We seek talent driven to impact the future of our legacy. Our culture and unique perks empower you with: Freedom to grow. We offer career development programs, tuition reimbursement, and course auditing. Join a TedTalk, watch a film screening, or listen a renowned author or global leader speak. A caring culture. We provide superb retirement plans, generous time‑off, and family care resources. A healthier you. Choose from hundreds of health or fitness classes at our world‑class exercise facilities. We provide excellent health care benefits. Discovery and fun. Stroll through historic sculptures, trails, and museums. Enviable resources. Enjoy free commuter programs, ridesharing incentives, discounts and more. #J-18808-Ljbffr Stanford University