Director of Data Management and Reporting (UFA)

Rutgers University, United States

Updated: 5 days ago
Location: New Brunswick, NEW JERSEY
Deadline: ;

Position Details


Position Information


Recruitment/Posting Title Director of Data Management and Reporting (UFA)
Job Category Staff & Executive - Information Technology
Department UFA Data Analytics
Overview
Rutgers, The State University of New Jersey, is a leading national research university and the State of New Jersey’s 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 nation’s 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 university’s 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 https://finance.rutgers.edu/ .
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 UFA’s 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 UFA’s 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 UFA’s operational and analytics needs.
In close collaboration with OIT, this role assesses UFA’s data and reporting needs and contributes UFA’s 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 Technology’s (OIT) technology standards, platform guidance, and integration frameworks.
This role serves as UFA’s data and reporting partner to OIT, ensuring institutional alignment while maintaining the technical depth required to guide UFA’s 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 UFA’s 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 UFA’s 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 UFA’s 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 OIT’s 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 UFA’s data management and reporting function–including roadmaps, Jira/ServiceNow workflows, release/change management–ensuring 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 CDO’s 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 decisions—including business glossary, data definitions, metadata standards, lineage documentation, access controls, stewardship roles, and classification/retention requirements—ensuring 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 UFA’s 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
FLSA Exempt
Grade 10
Salary Details
Minimum Salary 143712.000
Mid Range Salary 181901.000
Maximum Salary 220090.000
Offer Information
The final salary offer may be determined by several factors, including, but not limited to, the candidate’s qualifications, experience, and expertise, and availability of department or grant funds to support the position. We also take into consideration market benchmarks, if and when appropriate, and internal equity to ensure fair compensation relative to the university’s broader compensation structure. We are committed to offering competitive and flexible compensation packages to attract and retain top talent.
Benefits
Rutgers provides a comprehensive benefits package to eligible employees. The specific benefits vary based on the position and may include:
  • Medical, prescription drug, and dental coverage
  • Paid vacation, holidays, and various leave programs
  • Competitive retirement benefits, including defined contribution plans and voluntary tax-deferred savings options
  • Employee and dependent educational benefits (when applicable)
  • Life insurance coverage
  • Employee discount programs
Position Status Full Time
Working Hours
Standard Hours 37.50
Daily Work Shift
Work Arrangement
Union Description Admin Assembly (MPSC)
Payroll Designation PeopleSoft
Seniority Unit
Terms of Appointment Staff - 12 month
Position Pension Eligibility ABP

Qualifications


Minimum Education and Experience
  • Bachelor’s degree in Information Systems, Computer Science, Data Analytics, or a related field.
  • At least ten (10) years of progressive experience in data management, data engineering, data architecture, or enterprise analytics, including recent (within the last 5–7 years) hands-on work with cloud-scale data platforms, modern integration frameworks, and data modeling.
Certifications/Licenses
Required Knowledge, Skills, and Abilities
  • Demonstrated experience assessing business, reporting, and downstream analytical needs and translating them into technical requirements that support enterprise-aligned data platforms, integration standards, and governance expectations.
  • Hands-on experience with modern data architecture patterns, including cloud warehousing/lakehouse structures, ELT/ETL modernization, semantic modeling, and governed data products.
  • Strong SQL and data modeling skills, including conceptual, logical, and physical modeling; performance tuning; normalization; and optimization.
  • Experience operationalizing data governance at scale, including metadata management, lineage, KPI standardization, data quality scoring, and stewardship frameworks.
  • Experience with ETL/ELT tools and pipeline automation (e.g., SSIS, Informatica, ADF, dbt, or similar).
  • 5+ years leading technical teams, including supervising senior technical staff or a frontline manager, with responsibility for delivery, coaching, and performance management.
  • Demonstrated experience establishing standards and operating models for data management, reporting, modeling, and integration in partnership with enterprise IT.
  • Strong understanding of ERP financial and administrative data structures (preferably Oracle ERP/HCM) and how operational reporting informs upstream data modeling and certified dataset design.
  • Excellent written and verbal communication skills, with the ability to present technical concepts to non-technical stakeholders.
  • Proven ability to collaborate across departments and campuses—including IT, Institutional Research, and administrative units—to meet data management, governance, and reporting objectives and to support stakeholders across UFA and the broader Rutgers community.
  • Working knowledge of how ERP operational reporting requirements influence upstream modeling, integration patterns, and data preparation for downstream analytics.


Core Competencies
  • Ability to ensure that data models, views, and schemas developed meet the functional and business needs
  • Technical leadership of data management, data architecture, and reporting functions, including leading managers and technical specialists.
  • Expertise in data modeling (conceptual, logical, physical) and modern warehouse/lakehouse design principles.
  • Expertise in integrating data from multiple source systems and domains, and in designing consistent, governed data structures for cross-system reporting and analysis.
  • Strong understanding of ERP data structures and administrative domains (preferably Oracle Cloud ERP/HCM).
  • Deep knowledge of data management disciplines, including metadata, lineage, stewardship, and data quality frameworks.
  • Ability to set and govern standards for data pipelines, ELT/ETL processes, integrations, and automation workflows.
  • Demonstrated ability to combine experienced team leadership with hands-on technical depth in modern data platforms, data modeling, and ELT/ETL practices.
  • Ability to evaluate and guide the use of SQL, Python, ETL/ELT frameworks, and other modern data engineering technologies.
  • Exceptional communication skills, with the ability to convey complex technical concepts clearly, influence diverse stakeholders, and set clear direction for a technical team.
  • Demonstrated ability to build cohesion across teams, foster a positive, collaborative, and solution-oriented work environment, and model accountability and transparency.
  • Ability to partner effectively with OIT on platform, modeling, and integration alignment, cloud direction, and security/privacy compliance.
  • Demonstrated ability to balance strategic vision with hands-on technical oversight and practical execution.
Preferred Qualifications
  • Master’s 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.
Equipment Utilized
  • Standard office and meeting technologies (computer, telephone, videoconferencing tools).
  • Enterprise data platforms and reporting environments, including:
  • SQL Server–based environments (e.g., SSIS/Visual Studio, SQL Server Management tools)
  • Oracle Cloud–based environments (e.g., Oracle ERP/HCM, OTBI, BI Publisher, OAC, Smart View)
  • Cloud data platforms and related services (e.g., Oracle Cloud Infrastructure (OCI), Azure, AWS)
  • Data warehousing and integration tools, such as Oracle FDI, SSIS/Visual Studio, Informatica, or equivalent modern ELT/ETL technologies.
  • Data modeling, SQL development, and analytics tools, including SQL client tools, Python-enabled environments, and Tableau for operational reporting.
  • Collaboration and project management tools (e.g., Jira/ServiceNow, Teams, SharePoint).
Physical Demands and Work Environment
Special Conditions

Posting Details


Posting Number 26ST0060
Posting Open Date 01/13/2026
Special Instructions to Applicants
Regional Campus Rutgers University-New Brunswick
Home Location Campus Off Campus
City Piscataway
State NJ
Location Details

Pre-employment Screenings


All offers of employment are contingent upon successful completion of all pre-employment screenings.



Immunization Requirements

Under Policy 100.3.1 Immunization Policy for Covered Individuals , if employment will commence during Flu Season, Rutgers University may require certain prospective employees to provide proof that they are vaccinated against Seasonal Influenza for the current Flu Season, unless the University has granted the individual a medical or religious exemption. Additional infection control and safety policies may apply. Prospective employees should speak with their hiring manager to determine which policies apply to the role or position for which they are applying. Failure to provide proof of vaccination for any required vaccines or obtain a medical or religious exemption from the University will result in rescission of a candidate’s offer of employment or disciplinary action up to and including termination.



Equal Employment Opportunity Statement


It is university policy to provide equal employment opportunity to all its employees and applicants for employment regardless of their race, creed, color, national origin, age, ancestry, nationality, marital or domestic partnership or civil union status, sex, pregnancy, gender identity or expression, disability status, liability for military service, protected veteran status, affectional or sexual orientation, atypical cellular or blood trait, genetic information (including the refusal to submit to genetic testing), or any other category protected by law. As an institution, we encourage all qualified applicants to apply. For additional information please see the Non-Discrimination Statement at the following web address: http://uhr.rutgers.edu/non-discrimination-statement



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