Princeton University

Overview The Office of Information Technology (OIT) empowers Princeton University's mission of advancing learning through world-class scholarships, research, and teaching. Within OIT, Enterprise Infrastructure Services (EIS) designs, builds, and operates campus and cloud-based IT that supports the University's academic and administrative goals. The Enterprise Infrastructure Services team is expanding infrastructure capabilities with a focus on DR/BC orchestration and hybrid cloud resilience. Current efforts will focus on consolidation of backup platforms, adoption of hybrid cloud virtualization platforms, and improvements to DR/BC workflows of evolving RTO/RPO targets. Success in these areas will directly enhance EIS' ability to meet business continuity goals and define and deliver best-in-class data protection strategy. The Infrastructure Operations Engineer reports to the Senior Manager of Infrastructure Operations and plays a critical role in ensuring secure, reliable infrastructure for Princeton University's academic and administrative operations. As part of the Infrastructure Operations team, this position provides first line of support for enterprise systems with key responsibilities focusing on: Backup Management: Oversee and maintain centralized backup solutions for Windows and Linux environments across on-premises and cloud platforms. Disaster Recovery and Business Continuity Administration: Develop, continually refine and periodically test DR/BC plans with Infrastructure teams and Service Owners to ensure the Universities' diverse business needs are met. Infrastructure Engineering: Design, implement, test and sustain secure, high-performance server and virtualization infrastructure to ensure reliable service delivery. Operational Support: Execute daily operational tasks and provide on-call coverage, including after-hours support, to maintain system availability and performance. This is a hybrid position. Responsibilities Operations Manage and maintain enterprise backup platforms to protect the University's data across virtual servers, physical servers, and NAS arrays. Monitor and manage daily backup operations, including scheduling, job success verification, onboarding new clients, performing restores, and troubleshooting failures. Support Disaster Recovery (DR) and Business Continuity (BC) operations, including restore testing and scenario-based recovery to meet RTO/RPO objectives. Maintain backup infrastructure components, ensuring software updates and security compliance. Perform daily management and monitoring of virtualization platforms, Windows servers, Linux systems, and hybrid environments. Ensure compliance with IT governance processes, including asset, change, incident, and problem management. When provided access to data classified as University "Restricted," "Confidential," "Internal to Princeton," or that is personal, proprietary, or otherwise considered sensitive/confidential, maintain such data in the strictest confidence, following standard procedures to ensure privacy, security, and proper use of data, in accordance with the Information Security Policy. Participate in on-call rotation to support the University's server and storage infrastructure. Engineering Collaborate with OIT groups and departmental staff to design and maintain resilient, secure backup infrastructure. Monitor and optimize scalability, performance, and data integrity of backup recovery solutions. Administer on-prem VMWare and Azure Infrastructure, including virtual servers VMware or Hyper-V based clusters. Oversee the monitoring and maintenance of compute infrastructure, including installation, configuration, and patching. Develop automation scripts to streamline system operations and improve efficiency. Create and execute testing and implementation plans for new or upgraded backup platforms. Establish and refine backup and restore policies for compliance and efficiency. Participate in special projects and assignments as required. Professional Development Stay current with emerging technologies and evaluate new products for adoption. Facilitate knowledge transfer by developing and delivering training sessions on backup and recovery best practices. PIc5b4659aa8-c143e31-5e48-4549-b2d185386

Overview The Associate CIO, Administrative Applications provides strategic leadership and operational oversight for Application Services (AS) within the Office of Information Technology (OIT). This role directs and manages key units, including ERP and Custom Development, Database Administration, and Package Adoption and Configuration (PAC). The position ensures these teams deliver robust, innovative, and compliant administrative application solutions that support institutional goals and drive operational excellence across the organization. The Associate CIO is responsible for establishing a long-term vision for administrative applications, guiding modernization initiatives, and overseeing the successful transition from legacy systems to cloud-based platforms while maintaining operational continuity. This role partners closely with academic, administrative, and IT leadership to align technology investments with institutional goals, drive business value, and enhance overall user experience. Through strong communication , collaboration, and change leadership, this role drives operational excellence, continuous improvement, and stakeholder satisfaction across the institution. Responsibilities Leadership Develop, articulate, and execute long-term strategies that align with institutional objectives and drive the effective deployment and optimization of administrative applications. Lead, motivate, and develop large and diverse teams of 50 or more employees while fostering a culture of collaboration, engagement, and high performance. Coach, mentor, and support professional growth to ensure team members have opportunities for skill development and career advancement. Manage organizational change within technology environments by guiding teams through transitions, building stakeholder buy-in, and minimizing disruption. Create and sustain an inclusive work environment where diverse perspectives are valued and all team members can contribute meaningfully. Apply strong analytical and judgment skills to make informed and timely decisions while balancing competing priorities and stakeholder interests. Address and resolve interpersonal and operational conflicts to promote a positive and productive workplace. Communicate vision, expectations, and feedback clearly to large teams and influence stakeholders at all levels of the institution. Organize complex operations, set clear goals, monitor results, and continuously improve processes and outcomes to drive operational excellence. Strategy & Planning Develop and execute strategic plans for cloud ERP and administrative application environments, ensuring alignment with institutional objectives and operational needs at the executive level. Ensure all applications, especially cloud ERP systems, meet business requirements, compliance standards, and end-user expectations. Analyze and enhance the effectiveness and efficiency of existing cloud ERP and administrative systems, identifying opportunities to leverage technology for institutional advancement. Champion and disseminate best practices in application usage, security, and data privacy across the organization. Acquisition & Deployment Lead the evaluation, selection, and implementation of cloud ERP solutions and other administrative applications, drawing upon direct executive-level cloud ERP implementation experience in higher education. Oversee configuration, deployment, and enhancement of new and existing cloud-based applications, ensuring seamless integration and interoperability. Collaborate with campus stakeholders, analysts, and technical teams to facilitate successful rollouts and adoption of cloud ERP and related systems. Review technical specifications and documentation for new applications to guarantee alignment with institutional requirements and compliance standards. Negotiate contracts and manage relationships with cloud service providers and software vendors. Coordinate feasibility studies and make recommendations based on findings regarding new technologies and application platforms. Operational Management Manage and provide strategic direction for the applications team supporting cloud ERP and administrative systems. Partner with IT leadership, network administrators, and software engineers to ensure quality assurance, data integrity, and robust operational support. Maintain a comprehensive inventory of software assets, contracts, and service agreements. Develop and deliver training, documentation, and support resources to end users, facilitating successful adoption and utilization of cloud ERP and other applications. Coordinate end-user testing and feedback processes for application enhancements and new implementations. Qualifications 10+ years of relevant practical experience Extensive executive-level experience implementing and managing cloud ERP systems in complex environments, with a demonstrated record of successful, large-scale deployments, upgrades, and system integrations. Experience managing and supporting on-premises and cloud-based systems Expertise in cloud technologies, enterprise resource planning, and administrative applications Strong understanding of software quality assurance, compliance standards, and data privacy regulations in complex environments, including those relevant to higher education Experience with project management methodologies and cross-functional team leadership Excellent understanding of institutional goals and the ability to translate them into technology solutions Proven research and analytical skills in evaluating application platforms and resolving issues Exceptional written and verbal communication skills Strong executive leadership, interpersonal, and customer-service orientation Ability to communicate complex technical concepts to diverse audiences Highly self-motivated, detail-oriented, and adept at prioritizing and executing tasks in fast-paced, high-pressure environments Demonstrated experience in collaborative, team-oriented settings Education: Bachelor's degree in computer science, information systems, or a related field Preferred Experience in higher education Relevant certifications in cloud ERP platforms (e.g., Workday, Oracle Cloud, SAP) and project management (e.g., PMP, ITIL) strongly preferred. Advanced degree Princeton University is an Equal Opportunity Employer and all qualified applicants will receive consideration for employment without regard to age, race, color, religion, sex, sexual orientation, gender identity or expression, national origin, disability status, protected veteran status, or any other characteristic protected by law. The University considers factors such as (but not limited to) scope and responsibilities of the position, candidate's qualifications, work experience, education/training, key skills, market, collective bargaining agreements as applicable, and organizational considerations when extending an offer. The posted salary range represents the University's good faith and reasonable estimate for a full-time position; salaries for part-time positions are pro-rated accordingly. If the salary range on the posted position shows an hourly rate, this is the baseline; the actual hourly rate may be higher, depending on the position and factors listed above. The University also offers a comprehensive benefit program to eligible employees. Please see this link for more information. PI4d15cf320f76-8313

Overview The Office of Information Technology (OIT) empowers Princeton University's mission of advancing learning through world-class scholarships, research, and teaching. Within OIT, Enterprise Infrastructure Services (EIS) designs, builds, and operates campus and cloud-based IT that supports the University's academic and administrative goals. The Enterprise Infrastructure Services team is expanding infrastructure capabilities with a focus on DR/BC orchestration and hybrid cloud resilience. Current efforts will focus on consolidation of backup platforms, adoption of hybrid cloud virtualization platforms, and improvements to DR/BC workflows of evolving RTO/RPO targets. Success in these areas will directly enhance EIS' ability to meet business continuity goals and define and deliver best-in-class data protection strategy. The Infrastructure Operations Engineer reports to the Senior Manager of Infrastructure Operations and plays a critical role in ensuring secure, reliable infrastructure for Princeton University's academic and administrative operations. As part of the Infrastructure Operations team, this position provides first line of support for enterprise systems with key responsibilities focusing on: Backup Management: Oversee and maintain centralized backup solutions for Windows and Linux environments across on-premises and cloud platforms. Disaster Recovery and Business Continuity Administration: Develop, continually refine and periodically test DR/BC plans with Infrastructure teams and Service Owners to ensure the Universities' diverse business needs are met. Infrastructure Engineering: Design, implement, test and sustain secure, high-performance server and virtualization infrastructure to ensure reliable service delivery. Operational Support: Execute daily operational tasks and provide on-call coverage, including after-hours support, to maintain system availability and performance. This is a hybrid position. Responsibilities Operations Manage and maintain enterprise backup platforms to protect the University's data across virtual servers, physical servers, and NAS arrays. Monitor and manage daily backup operations, including scheduling, job success verification, onboarding new clients, performing restores, and troubleshooting failures. Support Disaster Recovery (DR) and Business Continuity (BC) operations, including restore testing and scenario-based recovery to meet RTO/RPO objectives. Maintain backup infrastructure components, ensuring software updates and security compliance. Perform daily management and monitoring of virtualization platforms, Windows servers, Linux systems, and hybrid environments. Ensure compliance with IT governance processes, including asset, change, incident, and problem management. When provided access to data classified as University "Restricted," "Confidential," "Internal to Princeton," or that is personal, proprietary, or otherwise considered sensitive/confidential, maintain such data in the strictest confidence, following standard procedures to ensure privacy, security, and proper use of data, in accordance with the Information Security Policy. Participate in on-call rotation to support the University's server and storage infrastructure. Engineering Collaborate with OIT groups and departmental staff to design and maintain resilient, secure backup infrastructure. Monitor and optimize scalability, performance, and data integrity of backup recovery solutions. Administer on-prem VMWare and Azure Infrastructure, including virtual servers VMware or Hyper-V based clusters. Oversee the monitoring and maintenance of compute infrastructure, including installation, configuration, and patching. Develop automation scripts to streamline system operations and improve efficiency. Create and execute testing and implementation plans for new or upgraded backup platforms. Establish and refine backup and restore policies for compliance and efficiency. Participate in special projects and assignments as required. Professional Development Stay current with emerging technologies and evaluate new products for adoption. Facilitate knowledge transfer by developing and delivering training sessions on backup and recovery best practices. Qualifications 5+ years of experience in enterprise backup engineering and virtualization management Strong expertise in enterprise backup platforms (e.g., Veeam, Cohesity, Rubrik). Proven experience as a Backup Engineer, protecting virtual machines, physical servers, and large NAS clusters. Managing and supporting enterprise hypervisor environments (Microsoft Hyper-V, VMware, vSphere). Strong troubleshooting and problem-solving skills in hybrid environments (AWS, Azure). Experience with automation and scripting for operational efficiency Ability to work independently and lead small project teams. Excellent interpersonal and communication skills for engaging diverse stakeholders. Commitment to high-quality customer service. Flexibility to work off-hours and weekends as part of an on-call rotation. Education: Bachelor's degree or equivalent professional work experience Preferred Broad operational knowledge (systems administration, application management, network infrastructure, and data center operations) Familiarity with DevOps principles and tools Princeton University is an Equal Opportunity Employer and all qualified applicants will receive consideration for employment without regard to age, race, color, religion, sex, sexual orientation, gender identity or expression, national origin, disability status, protected veteran status, or any other characteristic protected by law. The University considers factors such as (but not limited to) scope and responsibilities of the position, candidate's qualifications, work experience, education/training, key skills, market, collective bargaining agreements as applicable, and organizational considerations when extending an offer. The posted salary range represents the University's good faith and reasonable estimate for a full-time position; salaries for part-time positions are pro-rated accordingly. If the salary range on the posted position shows an hourly rate, this is the baseline; the actual hourly rate may be higher, depending on the position and factors listed above. The University also offers a comprehensive benefit program to eligible employees. Please see this link for more information. PI8f23c65bc7da-4553

Overview As part of University Advancement Data Strategy and Innovation team, the role of the Associate Director, Data Science is to turn data into tactical information and knowledge by applying statistical, algorithmic, mining and visualization techniques. Data Strategy and Innovation plays a critical strategic role within Advancement, providing the analytical framework, data architecture, application development, and tools for data-driven decision making at all levels of the organization. The person in this role should be a creative thinker and propose innovative ways to look at problems that can be used to make sound organizational decisions. The Associate Director, Data Science will need to be able to present their findings and communicate data in ways that can be easily understood by their business counterparts. Working with the department Executive Director, this role will supervise the activities of the data science team and provide management of day to day functional operations. In addition, this position will serve as a liaison to other teams within University Advancement - acting as a lead and driving strategic planning to successfully execute analytics strategies and solutions in support of the University fundraising and engagement operations. Responsibilities Statistical Modeling and Technical Exploration (40%) Utilizing a combination of business focus, strong analytical and problem-solving skills and programming knowledge, drive new innovations and data exploration Develop recommendation engines or automated lead scoring systems to drive our prospect management strategy and marketing segmentation, utilizing machine learning techniques Work with structured data and drive innovation in unstructured data architecture and analysis Work with statistical programming language, like R or Python, and database querying language like PL/SQL Utilize innovative approaches to drive knowledge, incorporate and promote a big data environment. Identify what data is available and relevant, including internal and external data sources, leveraging new data collection processes such as social media and web analytics Communication, Mentoring and Analytics Implementation (25%) Work with business users to define desired outcomes and business requirements of analyses, data visualization and other reporting Provide expertise on mathematical concepts for broader applied analytics and inspire the adoption of advanced analytics and data science across the Advancement Office Describe findings or the way techniques work to audiences, both technical and non-technical, effectively using presentation tools such as data visualization, PowerPoint and documentation to drive strategic decision making and understanding of business analytics at all levels of the organization Assist in addressing daily operational questions as needed, identify critical process improvement areas and collaborate in developing procedures and solutions for enhancing a high level of customer service Staff Management (20%) Serve as the team lead for projects and priorities of the data science team, working closely with the Executive Director, Prospect, Engagement, and Data Strategy to ensure projects are aligned with department and Advancement priorities Responsible for the hiring and professional development of staff including training, mentoring, and identifying goals, objectives and metrics Responsible for performance management of staff including staff appraisals and monitoring of activity and metrics Other related tasks as assigned Best Practices & Strategy (15%) Working closely with Data Strategy and Innovation team members, conceive of and contribute to strategies and best practices in maintaining a comprehensive, reliable, and innovative data environment Review and recommend use of new technologies, vendor services and information sources. Keep abreast of news and relevant industry trends in support of the Office of Advancement Develop and maintain proficiency in using advanced analytic and database tools, internet resources, in-house data, and other references Qualifications 7+ years of professional experience required in an analytical or information specialist role within an academic, nonprofit, corporate or consulting setting. Deep understanding of statistical and predictive modeling concepts, machine-learning approaches, clustering and classification techniques, and recommendation and optimization algorithms. Keen desire to solve business problems, and to find patterns and insights within structured and unstructured data. Expert in analyzing large, complex, multi-dimensional datasets with a variety of tools. Accomplished in the use of statistical analysis environments such as R, MATLAB, SPSS or SAS. Experience with BI tools such as Tableau. Having a good understanding of relational databases, warehouse design and architecture principles. Familiarity with big data frameworks (e.g., such as Hadoop, Hive, Spark). Good scripting and programming skills (e.g. familiarity with SQL, Python, Java). Strong foundation in statistical, mathematical, predictive modeling as well as business strategy skills to build the algorithms necessary to ask the right questions and find effective answers. Familiar with disciplines such as: natural language processing, machine learning, conceptual modelling, statistical analysis, predictive modeling and hypothesis testing. Able to create examples, prototypes, demonstrations to help management better understand the work. Able to work autonomously. Proficiency at planning and setting meaningful objectives to meet office goals. Ability to articulate and promote goals and implement strategic plans. Education: Bachelor's Degree in operations research, applied statistics, data mining, machine learning, or a related quantitative discipline required. Preferred: Knowledge of Princeton's mission Experience in higher education Master's degree or Ph.D. strongly preferred Understanding of philanthropy (mission, practice, trends) and fundraising practices (the development cycle, prospect management policies and practices) preferred. Princeton University is an Equal Opportunity Employer and all qualified applicants will receive consideration for employment without regard to age, race, color, religion, sex, sexual orientation, gender identity or expression, national origin, disability status, protected veteran status, or any other characteristic protected by law. The University considers factors such as (but not limited to) scope and responsibilities of the position, candidate's qualifications, work experience, education/training, key skills, market, collective bargaining agreements as applicable, and organizational considerations when extending an offer. The posted salary range represents the University's good faith and reasonable estimate for a full-time position; salaries for part-time positions are pro-rated accordingly. If the salary range on the posted position shows an hourly rate, this is the baseline; the actual hourly rate may be higher, depending on the position and factors listed above. The University also offers a comprehensive benefit program to eligible employees. Please see this link for more information. PIc6a9ea1d30dc-9287

Overview Princeton University is seeking an experienced Reporting and Analytics Lead to drive readiness, planning, and implementation of reporting for a new Enterprise Resource Planning (ERP) system across Human Capital Management (HCM), Finance, and Academic (Student) systems. Reporting to the University Data Office (UDO), this role will provide functional and technical expertise for data and reporting within modern cloud-based ERP systems and will establish the ERP reporting strategy, define requirements, and successfully deliver self-service reporting from within the ERP. This critical role will ensure that ERP reporting fits within Princeton's overall data strategy including reporting best practices and data governance. The ERP Reporting and Analytics Lead will work closely with the UDO, ERP Program team, functional units, reporting users, and implementation consultants to deliver ERP reporting aligned with functional objectives. This is a 2 year, benefits-eligible term appointment with a possibility of transitioning to an ongoing position after funding approval. This position is hybrid role. Responsibilities Reporting Management and Implementation: Lead the creation and maintenance of a prioritized future state reporting inventory based on the ERP reporting roadmap Lead and guide an ERP project reporting sub-team, including functional analysts and report developers (internal and consulting), to design and develop reports and dashboards within the ERP software to support operational and management reporting for business process and user needs Establish and implement quality control for all ERP report development activities, ensuring accuracy and alignment with functional objectives as well as on-time delivery Proactively identify and resolve ERP reporting issues, risks, and dependencies Mentor ERP reporting developers, providing skills development to ensure consistent application of the report development lifecycle across ERP modules including report and dashboard design standards; accessing ERP data structures for report development, all phases of testing including user acceptance testing; and effective knowledge transfer from implementation partners Ensure compliance with institutional data governance, security, and privacy standards Reporting Strategy and Leadership: Working with the readiness consulting partner, UDO, functional and Information Technology (IT) leaders, define the ERP reporting strategy and approach, aligning with institutional data strategy and related initiatives including the Analytics Hub Incorporate the reporting strategy into ERP planning, reporting readiness, and implementation activities across ERP modules and business processes Direct the gathering, analysis, and prioritization of reporting requirements from stakeholders and functional teams to develop an ERP reporting implementation roadmap Collaborate with UDO colleagues, data stewards, and implementation partners to establish data collection and quality standards in support of ERP conversion and reporting, design master data, structure and taxonomy that represents the institution and enables roll up reporting, develop role-based access models for reporting, and ensure compliance with regulatory guidelines. Stakeholder Engagement and Communication: Communicate ERP reporting concepts, requirements, and updates to stakeholders at all levels of the organization Working with implementation partners, delivering training to ERP report developers in the functional units, and users of ERP self-service reporting at implementation Stay current with ERP reporting tools and industry best practices to continuously improve reporting capabilities Qualifications 7+ years of experience implementing ERP reporting, including at least 3 years delivering native reporting with SaaS ERP (e.g. Oracle Cloud, Workday, or similar cloud platforms)Expertise with cloud-based ERP data structures and inline reporting toolsProven experience leading the design and implementation of self-service reporting for enterprise ERP initiativesStrong background in information architecture, best practice reporting methodology and standardsKnowledge of data governance including quality standards, security and access models,and compliance requirementsDemonstrated ability to communicate effectively (both verbally and in writing) and collaboratewith a diverse set of stakeholders including functional, technical, management and end-usersStrong analytical and problem-solving abilities Ability and desire to work in a rigorous, collaborative, project-based environment Experience with traditional and agile project approaches When provided access to personal, proprietary and/or otherwise confidential data, maintains such data in the strictest confidence and follows procedures to ensure the privacy, security and proper use of data Preferred Qualifications: Bachelor's degree preferred Experience working on higher education ERP reporting implementations Experience managing ERP reporting teams Recent experience implementing native reporting in Oracle Cloud or Workday Princeton University is an Equal Opportunity and all qualified applicants will receive consideration for employment without regard to age, race, color, religion, sex, sexual orientation, gender identity or expression, national origin, disability status, protected veteran status, or any other characteristic protected by law. The University considers factors such as (but not limited to) scope and responsibilities of the position, candidate's qualifications, work experience, education/training, key skills, market, collective bargaining agreements as applicable, and organizational considerations when extending an offer. The posted salary range represents the University's good faith and reasonable estimate for a full-time position; salaries for part-time positions are pro-rated accordingly. If the salary range on the posted position shows an hourly rate, this is the baseline; the actual hourly rate may be higher, depending on the position and factors listed above. The University also offers a comprehensive benefit program to eligible employees. Please see this link for more information. PIebf28-0023