Career Center

The Senior Director Data Engineering and Analytics will provide strategic direction, leadership, and oversight of Princeton’s Center for Data, Analytics and Reporting (CeDAR). CeDAR provides the resources, data engineering platforms, data architecture, tools, and support to meet the University's needs for data analytics and reporting. This data infrastructure currently includes the Information Warehouse, IBM/Cognos and Tableau Business Intelligence tools, IBM/DataStage ETL tools, IBM/Information Governance Catalog, data integration, and other software. CeDAR is part of the Software and Application Services (SAS) department in the Office of Information Technology (OIT) with a dotted line to the University Data Officer (UDO). SAS manages the University’s ERP, packaged and custom applications, web development, data integration services, and data engineering systems. The UDO is responsible for supporting the effective use of administrative data by establishing and sustaining a campus-wide data governance and analytics infrastructure.

The Senior Director of Data Engineering and Analytics will be an individual with a passion for thoughtfully implementing modern technology to enable authorized access and use of data for analytics, statistical modeling, data research and exploration, reporting, and presentation. The Senior Director will be a people-focused leader, working with a diverse team of talented and motivated individuals to transition an on-premise reporting data infrastructure to an offsite multipurpose data architecture that is scalable, resilient, compliant, and flexible.

The Senior Director will be curious, keeping abreast of evolving data engineering platforms, data architectures and modeling methods, and data management tools that will enable Princeton’s strategic roadmap for institutional data and analytics. The Senior Director will be collaborative, maintaining trusted relationships with OIT leaders and functional partners to enable a reporting strategy that encompasses operational reporting from ERP and application systems, as well as integrated analytics to answer Princeton’s most pressing strategic questions. The Senior Director will be systematic yet agile, incorporating architecture, design, and project management standards across projects and operations, while encouraging demonstration projects to incrementally build capacity for data-informed decision making.

• Work with the Associate CIO and Directors on the approach, positioning, and implementation of data engineering and analytic services across current and future integration stacks, the ERP, and reporting/analytic platforms
• Work with the UDO in creating an enterprise data strategy for the effective use of data and information to support strategic decision making, and lead related implementation projects
• Work with the UDO, SAS, data stewards, and other CeDAR customers to craft and implement an inclusive and forward-looking vision and plan for CeDAR’s continued support of the University’s data and information needs
• Collaborate with SAS’ Associate CIO and Directors to monitor SAS objectives and initiatives, share information, and foster smooth operations
• Assess the current organizational structure of CeDAR and develop a long-term strategy for the most effective and efficient use of human resources, including the filling of open positions and the possible restructuring of current job descriptions, responsibilities, and reporting structures
• Lead initiatives including the selection of a new suite of tools for reporting and analytics, the re-platforming of CeDAR applications to offsite data centers, and meeting the growing need for integrated enterprise data
• Actively engage in relevant peer and user communities
• Represent CeDAR at Project Management Team (PMT) meetings
• Participate in the OIT Leadership group
• Manage CeDAR’s budget, vendor and consulting relationships, software asset management, and other University resources
• Provide guidance and mentoring to the CeDAR team
• Create and maintain an environment that is supportive and encouraging of the members of CeDAR, including their professional development
• Promulgate standards-based design and implementation approaches for data architecture, analytic systems and deliverables, and master data management
• Ensure accurate and competent support to all CeDAR customers
• Serve as a stakeholder on OIT projects as appropriate
• Support the goals of OIT and the OIT Core Values
• When provided access to personal, proprietary and/or otherwise confidential data, maintain such data in the strictest confidence and follow procedures to ensure the privacy, security, and proper use of data

Essential Qualifications

• 10+ years technical leadership experience working within a large, complex IT environment
• Proven data engineering experience leading the implementation of offsite analytics solutions, preferably using Azure or OCI architectures
• Strong experience as a senior developer or architect on projects using modern technologies including data lakes, data warehouses, and big data systems
• Strong experience leading the architecture of large-scale data engineering pipelines including different ETL operations for quantitative analysis systems
• Experience successfully developing off premise application solutions using current methods including Python, SQL, and/or Spark
• 7+ years staff management experience including a demonstrated ability to effectively lead and mentor diverse teams
• Experience implementing and supporting production reporting and analytic systems to exacting service levels that deliver multiple subject areas with cross functional integration
• Excellent planning and organization skills to estimate, track, and complete projects and deliverables
• Exceptional interpersonal skills, communication (oral and written) skills, and the ability to engage effectively with a diverse constituent base including data stewards, managers, and data users having varied levels of technical proficiencies
• Possess vision concerning emerging trends in information technology and the higher education landscape
• Demonstrated ability to multitask between leadership, projects, operations, and support
• Education: Bachelor's degree or higher, or equivalent combination of skills and experience

Preferred Qualifications

• Information warehousing leadership role within an R1 institution
• Key roles in a related national organization

Princeton University is an Equal Opportunity/Affirmative Action 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. EEO IS THE LAW

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