Strong experience designing relational and multi-dimensional models
Good analysis and problem-solving skills
Experience performing data selection and SQL development using PL/SQL and Oracle Stored Procedures
Strong understanding of data architecture requirements for BI reporting tools
Strong customer service orientation
Responsibilities
Lead the design and enhancement of the Advancement Data Warehouse platform
Develop and maintain data models for reporting and analytics
Design and oversee ELT pipelines for data transformation
Establish standards for data modeling and warehouse development
Collaborate with stakeholders to translate information needs into scalable solutions
Promote best practices in warehouse development and documentation
Recruit and mentor direct reports, fostering teamwork and communication
Benefits
Eligible for benefits
Hybrid work environment
Professional development opportunities
Supportive team culture
Commitment to diversity and inclusion
Full Job Description
Overview
Reporting to the Director, Data & Analytics, the Associate Director is a member of the Data & Analytics Management Team within the department of Data Strategy & Innovation (DS&I). DS&I is dedicated to housing, managing, analyzing and disseminating information and data to inform Advancement Office strategy; foster strong relationships with donors, volunteers and campus partners; and promote effective integration.
The Associate Director manages a Data Systems Engineer, and performs a variety of tasks to deliver technology improvements to the Data Warehouse environment. The specific responsibilities of this position include developing and testing extraction, transformation, and load (ETL) processes; defining and capturing metadata and rules associated with ETL processes; adapting ETL processes to accommodate changes in source systems and new business user requirements; working with both technical staff and business constituents to translate business requirements into technical solutions; maintaining technical and user documentation.
This is a hybrid role.
Responsibilities
Data Warehouse Development and Strategy:
Lead the design, implementation, and ongoing enhancement of the Advancement Data Warehouse platform.
Develop and maintain conceptual, logical, and physical data models supporting reporting, analytics, and operational intelligence.
Design and oversee ELT pipelines that ingest and transform data.
Establish standards for data modeling, business rules implementation, and warehouse development practices.
Lead development of curated reporting and analytic data structures that balance usability, performance, and long-term maintainability.
Maintain technical documentation, source-to-target mappings, and data lineage associated with warehouse assets.
Cross-Team and Departmental Collaboration:
Partner with reporting analysts and business stakeholders to translate information needs into scalable warehouse solutions.
Serve as the primary technical authority on Advancement reporting data structures and warehouse design.
Collaborate with analysts to ensure reporting assets accurately reflect institutional business definitions and reporting requirements.
Support implementation of enterprise reporting and analytics initiatives through the delivery of trusted data assets.
Guide stakeholders in effective use and interpretation of warehouse data.
Best Practices and Process Improvements:
Establish and maintain data quality controls within the data warehouse environment.
Define and manage warehouse business rules, transformation logic, and metadata standards.
Collaborate with institutional data governance partners to implement approved data standards within reporting and analytics platforms.
Develop monitoring and reconciliation processes to identify and resolve data integrity issues.
Promote best practices in warehouse development, documentation, testing, and release management.
Identify opportunities to improve scalability, automation, performance, and maintainability of warehouse processes.
Staff Management:
Recruit, mentor and direct the development of direct reports, including setting performance standards and measures; providing appropriate levels of training, mentoring and professional development; and fostering a strong sense of teamwork and cross-functional communication and collaboration among direct reports, the ADM staff, and with other groups within Advancement and the University.
Qualifications
Bachelor's degree required
5+ years of related work experience
Strong experience designing relational and multi-dimensional models
Good analysis and problem-solving skills to understand business information requirements and resolve data quality issues in delivered BI solutions
Experience performing data selection and SQL development using PL/SQL and Oracle Stored Procedures
Strong understanding of data architecture requirements for BI reporting tools (Cognos, MS Reporting, and Tableau preferred)
Experience developing solutions using Excel and MS Access
Experience with office tools such as PowerPoint and Word
Familiarity with project management
Strong customer service orientation
Organizational skills to handle several projects simultaneously to accommodate shifting priorities and meet deadlines
Effective communication, presentation and facilitation skills
Strong initiative, self-motivation and the ability to work both independently and in teams
Demonstrated ability to work effectively and collaboratively with others
High degree of professionalism, a positive 'can do' attitude and strong work ethic
Commitment to University Advancement's mission to inform, involve, and inspire Princeton's global community of alumni and friends, and adhering to its guiding principles of High Performance, Innovation, Civility, and Collaboration.
Demonstrated ability to work effectively and build relationships with individuals from diverse backgrounds, identities, abilities, and experiences.
Preferred:
Prior business or technical staff management experience in delegating, planning and mentoring to ensure staff meet and exceed expectations.
Knowledge of Princeton's mission
Experience in higher education
Familiar with the applications in use by the Office of Development including SunGard Advance and OnBase is preferred
Sense of humor is a plus.
Standard Weekly Hours
36.25
Eligible for Overtime
No
Benefits Eligible
Yes
Probationary Period
180 days
Essential Services Personnel (see policy for detail)