University IT 2025-2027 Priority Initiatives

To ensure the security and integrity of Stanford’s data and systems, this initiative includes implementing Microsoft Entra ID as a secondary identity provider, alongside the existing Shibboleth platform. It also includes rolling out Intune and upgraded MyDevices for improved device management.

The IT Service Management program builds on our strong foundation by focusing on two core priorities: (1) User Journey and (2) Service Health. ITSM is a multiyear priority; FY26 focuses on service manager and user enablement, and foundational improvements to the SNOW platform and processes.

Simplify research data security compliance, address evolving federal requirements, and strengthen our institutional security posture. Deliver an affordable and portable alternative for current large-scale computing systems, and develop a Cybersecurity Maturity Model Certification Level 2 compliance environment for School of Engineering.

A multi-year initiative to rollout Sequoia (HR and payroll solution) to replace PeopleSoft HR for Stanford and SLAC. Sequoia runs on Oracle Human Capital Management, a new cloud-based platform that streamlines and improves access to and delivery of HR and payroll services.

A multi-year initiative to rollout an enterprise learning platform using Cornerstone OnDemand, replacing STARS, which currently supports 50K+ learners and 30+ business units to assign, deliver, and track compliance training for Stanford.

This two-phase program will replace Oracle Enterprise Asset Management with IBM Maximo to support facilities and asset management needs for six Stanford units.

Stanford Navigator will unify class search and enrollment into a single, personalized platform, modernize the Stanford Bulletin for degree and course information, and provide robust APIs to make trusted curricular data widely accessible.

Replace a legacy student system and websites, plus associated applications such as marketing automation and curriculum management for the Stanford Continuing Studies Program, which serves more than 17,000 lifelong learners every year.

Ensuring Stanford provides technologies critical for data-driven discovery and AI/machine learning during the next decade, while addressing the ever increasing demand for research computing capacity. Dramatic increases in power requirements for AI also drives need for substantially expanded and upgraded data center facilities.

Streamline the management of Stanford's faculty and teaching/research staff lifecycle for 9K+ community members at Stanford, Harmony seeks to improve efficiency in processes from recruitment to appointments, promotions, and retirement and reduce administrative burden.

Create a centralized, scalable infrastructure for data de-identification, particularly for unstructured data that creates significant challenges in the Data Risk Assessment process. The absence of standardized processes and validation mechanisms creates operational bottlenecks; establishing a reliable and scalable de-identification process will help mitigate risk and improve research efficiency.

A new effort to support our campus community with their wide-ranging needs for AI services. 

A secure, on-premise computational environment for PHI and high-risk data. Carina 2.0 will improve the researcher experience by replacing aging hardware, modernizing and simplifying the current technology stack, gaining efficiencies, and creating a more stable and robust cluster. 

Marlowe, Stanford's flagship GPU-based computing instrument, is a collaboration between Stanford Data Science, Vice Provost and Dean of Research, and Stanford Research Computing. These groups are working together and with our NVIDIA partners to optimize the use of Marlowe for the broader campus research community.

AcademicWorks, a standalone cloud system, will be developed to manage student scholarships and funds for Stanford's Financial Aid Office. The current system lacks automation, requires significant manual work, and has not evolved to meet Stanford’s needs.

The new Elm storage service addresses a growing need to archive large volumes of data, including high-risk data and PHI. Key milestones include achieving compliance and formal approval for Elm to store high-risk data in 2026.

Create a centralized and efficient system to collect, manage, and track data required by the new Stanford Graduate Workers Union contract. This initiative will deliver a unified graduate assistantship intake system to streamline data collection, improve accuracy, and ensure timely, contract-compliant administration of graduate appointments.