Director of Data Management and Reporting (UFA)

Posting Summary
Rutgers The State University of New Jersey is seeking a Director of Data Management and Reporting ( UFA ) for University Finance & Administration. The Director of Data Management & Reporting is an experienced team leader who leads the modernization of UFAs data foundation ensuring secure trusted and analytics-ready data that supports financial and administrative decision-making across UFA and its stakeholders throughout Rutgers. Reporting to the Chief Data Officer ( CDO ) this role executes UFAs data management and reporting vision by providing strong technical and functional leadership in data modeling multi-source data integration and the design of data structures that support UFAs operational and analytics close collaboration with OIT this role assesses UFAs data and reporting needs and contributes UFAs functional and technical requirements to the design and implementation of a modern scalable data platform. The platform will enable strong governance cross-domain integration and operational/ ERP reporting while aligning with the Office of Information Technologys ( OIT ) technology standards platform guidance and integration frameworks. This role serves as UFAs data and reporting partner to OIT ensuring institutional alignment while maintaining the technical depth required to guide UFAs internal implementation. The Director brings recent hands-on experience with modern data platforms data modeling and ELT / ETL patterns enabling UFA to deliver certified analytics-ready datasets for operational reporting and to support downstream analytics used across Rutgers. Among the key duties of this position are the following: Provides technical leadership for UFAs data environment including conceptual/logical/physical data modeling warehouse/lake structures semantic layers and reusable data products working collaboratively with OIT to ensure architectural and security alignment. Contributes to integration standards ( ETL / ELT ) across systems (e.g. Oracle ERP / HCM Banner) by advising on reliability scalability performance tuning observability and secure data movement in coordination with OIT integration teams. Establishes and promotes UFAs internal standards for modeling transformation logic views/materialized views semantic layers and certified datasets that support operational reporting and downstream analytics while ensuring consistency with enterprise guidance. Translates business needs into technical requirements specific to UFA and contributes to sequencing modernization priorities under the direction of the CDO and in partnership with OIT . Evaluates UFAs data and reporting needs and determines how they can be best supported through institutional data platforms (e.g. Oracle FDI cloud data warehouse/lakehouse patterns) ensuring alignment with OITs cloud integration and security frameworks through close partnership with OIT . Applies strong hands-on expertise in SQL optimization indexing normalization modern ELT / ETL approaches and cloud-scale data platform capabilities to guide internal design choices mentor staff and support the adoption of modern patterns in close collaboration with OIT . Partners with OIT functional leaders and stakeholders across all campuses and central units to translate business needs into data platform modeling and governance requirements; promotes adoption of modern data practices and strengthens data literacy across UFA . Oversees the delivery and operating model for UFAs data management and reporting functionincluding roadmaps Jira/ServiceNow workflows release/change managementensuring predictable transparent and timely outcomes. Leads and develops the team by modeling a collaborative accountable and service-oriented culture; sets goals coaches performance builds capabilities reinforces documentation and establishes succession plans. Serves as the escalation point for complex reporting integration data modeling or governance issues recommends modernization options (e.g. platform capabilities vendor tools buy vs. build decisions) aligned with institutional strategy and the CDOs direction. Provides seasoned leadership and hands-on technical experience in modern data platforms data modeling and ELT / ETL practices to strengthen staff capabilities and ensure consistent high-quality outcomes across UFA and the stakeholders it serves. Operationalizes UFA governance decisionsincluding business glossary data definitions metadata standards lineage documentation access controls stewardship roles and classification/retention requirementsensuring compliance with FERPA GLBA and institutional policies. Establishes and promotes data-quality controls (e.g. validation reconciliation profiling) across source staging and presentation layers; publishes quality metrics partners with data owners and stewards on remediation and monitors progress. Oversees Oracle ERP / HCM reporting ( OTBI BI Publisher OAC Smart View) and associated SQL processes; manages intake prioritization SLAs user acceptance testing quality assurance and release/change management for UFAs operational reporting needs in coordination with OIT supporting thousands of users across all Rutgers campuses who rely on accurate consistent and timely ERP reporting. Oversees Tableau-based operational reporting (non-dashboard non-analytical reports) by maintaining governed views/materialized views and certified Tableau data sources that support transactional compliance and operational use cases; ensure adherence to KPI definitions metadata standards and governance decisions. Enables operational self-service reporting by curating certified datasets and semantic layers aligned with day-to-day business needs; provides guidance to operational users and ensures that curated datasets appropriately support downstream analytics developed by other analytics teams

Overview
Rutgers The State University of New Jersey is a leading national research university and the State of New Jerseys preeminent comprehensive public institution of higher education. As one of the largest employers in the State of New Jersey Rutgers University is committed not only to the students and the State that we serve but also to the faculty and staff who work on our campuses. Ranked in 2022 by Forbes as a top 100 best large employer in America Rutgers commitment to its employees includes maintaining and fostering a safe diverse and respectful workplace environment creating employment opportunities for our nations military veterans and ensuring accessibility and accommodation for individuals with disabilities. University Finance and Administration ( UFA ) advances Rutgers strategic priorities through the management of all central financial administrative and student information systems and processes. We supply the universitys financial community the professional guidance services tools and information needed to make the informed decisions that contribute to Rutgers standing as an academic health and research powerhouse. We are deeply committed to our guiding principles and the core values that are critical for the long-term strategic growth of our division and the university. For more information please visit .

Preferred Qualifications
Masters degree in computer science Data Science Information Systems Business Analytics or a related field. Demonstrated experience in modernizing or transforming a data management data architecture or operational reporting function in a complex matrixed environment. Familiarity with higher education administrative systems including Banner Institutional Research systems Oracle ERP / HCM and related platforms. Recent hands-on experience implementing or modernizing cloud data platforms such as Oracle FDI Snowflake Databricks Lakehouse Microsoft Fabric Redshift BigQuery or equivalent. Experience bringing new data platform capabilities into production. Professional certifications such as Microsoft Certified: Azure Data Engineer Associate AWS / GCP Data Engineer Oracle data management certifications or Certified Data Management Professional ( CDMP ). Strong knowledge of data security privacy and compliance standards (e.g. FERPA GLBA ) and how they inform data governance and data-quality practices. Demonstrated success leading cross-functional data initiatives and contributing to enterprise-aligned data governance or data platform solutions in partnership with IT organizations.