Overview

The Associate Director, Business Intelligence will provide strategic direction, leadership, and oversight for the management and consumption of financial data throughout the University. Reporting to the Assistant Vice President of Finance Technology within the Office of Finance & Treasury (F&T), this role will define and implement F&T’s reporting and analytics strategy and enable capabilities that will deliver financial information in a consumable manner to facilitate business decisions. This position will require close collaboration with senior leadership in F&T, the Office of Information Technology (OIT), the University Data Office (UDO), and campus customers.

The successful candidate will manage the full system lifecycle of financial reporting and analytics capabilities and will be responsible for leading the modeling, quality, and delivery mechanisms of financial data maintained by the University. The individual will manage a team of business intelligence analysts seeking opportunities to leverage data to increase operational efficiency. The Associate Director will also partner with collaborative groups of IT partners, data stewards, analysts, and the UDO to implement a strategy for accessible integrated cross-functional analytics balanced with data governance.

The Associate Director will be curious, keeping abreast of evolving data analytics platforms, design, and presentation methods. The individual must have strong project management and technical skills; a person who is self-motivated and organized, highly observant of and sensitive to the culture of the University and its many constituencies, inherently collegial and service oriented, and an excellent communicator.

The Office of Finance & Treasury actively searches for staff members of exceptional ability and promise who share in Princeton University's commitment to excellence, and who present a diversity of viewpoints and cultures. We offer varied professional opportunities spanning all aspects of financial management, analysis, and processing in support of the teaching and research mission. As part of the University community, we respect the dignity and individuality of each member while trying to foster a sense of shared experience and common purpose. We are unwavering in our commitment to both diversity and community and embrace the variety of talents, backgrounds, and perspectives of all our colleagues.

Responsibilities

Data Analytics Strategy and Execution

• Responsible for defining the University financial reporting and analytics strategy and roadmap, and identifying future initiatives that support our business analysis needs.
• Serve as a leader in driving and executing the data analytics vision and evangelizing the power of data in the day-to-day business processes for functional teams across the organization.
• Collaborate with OIT in evaluating BI/Analytics tool capabilities, newer functionalities and deploying version upgrades.
• Design and maintain the architecture and tools to support the financial data warehouse.
• Spearhead our data analytics program by leveraging IBM Cognos/Tableau visualization capabilities; design integrated dashboards combining various data families that provide a cohesive, logical story and actionable insight to business owners and senior leadership.
• Partner with other administrative units across the University to integrate financial data with non-financial data, incorporating into an institutional data architecture to enable streamlined access to information and easier reconciliation.
• Collaborate with the University Data Officer, data stewards, and subject matter experts in creating data dictionaries and role-based access models, and work with OIT to implement in a modern data catalog and governance platforms.
• Collaborate with the UDO, data stewards, and analysts to develop University-wide reporting standards, curriculum, training guides and outreach programs for analytics adoption.
• Collaborate with DBA group in optimizing report/dashboard performance and document technical best practices and methodologies.

Lead Business Intelligence Projects

• Lead projects to deliver new business intelligence capabilities; develop the plan, objectives, timeline and deliverables; manage resources, schedules, scope, issues, and risks.
• Review and document use cases and requirements for transactional reports, summary reports, analytics capabilities, visualizations, and ad-hoc reporting.
• Plan and lead design, development, and testing for all analytics and reporting impacts with the implementation of new financial applications and integrating systems.
• Understand users’ information delivery needs and functional reporting requirements, translating them into technical solutions.
• Develop reporting design principles and development standards for Finance & Treasury reporting and analytics capabilities, and ensure consistent application. Contribute to the establishment of University-wide standards.
• Establish repeatable process for report testing with an emphasis on data quality.
• Contribute to the development and delivery of communication and training in support of new reporting and analytics solutions.
• Act as the primary liaison between business leaders, functional analysts, and application developers to clarify functional design questions and implement standards for managing data.
• Provide guidance in developing ETL specifications, building data integrations and ensuring financial reports produce consistent and accurate information across financial systems.

Team Leadership and Supervision

• Lead a team of business intelligence analysts through the planning, design, and delivery of data, insights, and reporting solutions. Provide supervision, mentoring, and honing performance to maximize the team's impact.
• Institute daily processes to monitor, investigate and reconcile data integrity and data quality between PeopleSoft ERP, other financial systems and the data warehouse.
• Lead the Finance & Treasury Data Analysis Community of Practice to enhance data literacy and data storytelling skills across the division. Contribute to university-wide data analysis collaboration groups.
• Seek opportunities to create and automate repeatable analyses or build streamlined data flows for business leaders.
• Continuously improve data analytics and insights capabilities and spreading that knowledge and expertise throughout the organization.
• Stay abreast of leading practices in data analytics emerging technologies, business, and market trends to support the implementation of innovative solutions (e.g., AI, predictive analytics, etc.).
• Manage production support activities and the investigation of defects and enhancement requests; lead resolution of Information Warehouse reporting issues; recommend solutions.

Qualifications

• 10 years of progressive technical leadership experience in analytics, business intelligence, reporting, or similar data-related functions in an enterprise environment.
• Strong conceptual and technical understanding of, Data Warehousing and the development of reporting and self-service analytics platforms.
• 10 years of experience generating analytical insights to drive business actions, including proficiency with programming / database querying tools (Oracle, SQL, Python, etc.) and reporting/data visualization tools (IBM Cognos Analytics, Tableau, etc.) is required.
• 7 years staff management experience including demonstrated ability to effectively lead and mentor individuals with diverse backgrounds.
• Excellent project management experience with planning, problem solving and organization development skills, demonstrated by a record of successful major project and process management transformations.
• Demonstrated ability to multitask between leadership, projects, operations, and support.
• Self-starter and be able to handle multiple tasks and priorities in a matrix organization.
• Exceptional interpersonal skills, communication skills, and the ability to engage effectively with a diverse constituent base including cross-functional teams and senior leadership.
• Data analysis experience with financial data
• Bachelor's degree or higher in Engineering, Mathematics or Computer Science, or equivalent work experience.

Preferred Qualifications:

• Experience with PeopleSoft Financials
• Experience in Oracle EPM suite of products including EPBCS/PBCS
• Familiarity with cloud-based data architecture and analytics platforms Infrastructure (OCI)
• Experience with financial management, procurement, sponsored research and budgeting processes in a Higher Education setting

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. KNOW YOUR RIGHTS

Standard Weekly Hours

Eligible for Overtime

Benefits Eligible

Probationary Period

Essential Services Personnel (see policy for detail)

Physical Capacity Exam Required

Valid Driver’s License Required

Experience Level