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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Digital Library Data Manager - **Company:** Stanford University - **Location:** Stanford, CA, United States (Remote available) - **Salary:** $132,498.0 - $157,989.0 - **Contract:** Permanent contract - **Skills:** Data Analysis, Databases, Data Governance, Extract Transform Load (ETL), Data Mining, Data Visualization, Software Debugging, Digital Content, Digital Libraries, Experimental Data, Human-Computer Interaction, Issue Tracking Systems, Data Intelligence, Machine Learning, Automation of Marketing, Metadata Standards, Electronic Filing System, Digital Archives - **Published:** July 6, 2026 - **Apply:** https://dejobs.org/x/x/543BF0A4BE444760A523EDA98CD47326/job/ ## About the Role · 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. At the Data Analyst 3 level, the incumbent will have: * Advanced experience applying analytical software, database management system software, database reporting software, database user interface and query software, and data mining software. * Advanced ability to collect data using a variety of methods, such as data mining, to improve or expand databases * Advanced experience utilizing complex statistical tools and techniques * Considerable interpersonal and communication skills to effectively convey findings and recommendations to a wide variety of audiences and influence senior leadership and faculty in key decisions. * Demonstrated experience in leading projects 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. ## Description 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., 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: 1. 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. 2. Apply an experimental, data-driven mindset to enhance digital content processing. Working collaboratively, investigate, apply and assessmachine 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. 3. 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 do troubleshooting of 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-dive 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., * 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, http://adminguide.stanford.edu . ## Related Videos - [Data Science on Software Data](https://www.wearedevelopers.com/videos/162-data-science-on-software-data) - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [Kubernetes and Microservices with Multi-Model Databases](https://www.wearedevelopers.com/videos/382-kubernetes-and-microservices-with-multi-model-databases) - [Data Mining Accessibility](https://www.wearedevelopers.com/videos/802-data-mining-accessibility) - [Fault Tolerance and Consistency at Scale: Harnessing the Power of Distributed SQL Databases](https://www.wearedevelopers.com/videos/1146-fault-tolerance-and-consistency-at-scale-harnessing-the-power-of-distributed-sql-databases) - [Modern Data Architectures need Software Engineering](https://www.wearedevelopers.com/videos/1030-modern-data-architectures-need-software-engineering) ## Related Articles - [Data Analyst Salary in the UK](https://www.wearedevelopers.com/magazine/278-data-analyst-salary-in-the-uk) - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Data Analyst Salary in Switzerland](https://www.wearedevelopers.com/magazine/276-data-analyst-salary-in-switzerland) - [Data Analyst Salary Austria](https://www.wearedevelopers.com/magazine/275-data-analyst-salary-austria) - [Data Analyst Salary Germany](https://www.wearedevelopers.com/magazine/277-data-analyst-salary-germany)