Manager, Data Delivery & Operations at UNIVERSITY OF ILLINOIS FOUNDATION

Champaign, Illinois, United States -

Full Time

Start Date

Immediate

Expiry Date

07 Sep, 26

Salary

102000.0

Posted On

09 Jun, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Project Management, Data Warehouse Development, Business Intelligence, Agile Methodology, Release Management, Requirements Gathering, People Management, Data Analytics, Microsoft Fabric, Azure, Power BI, SQL Server Reporting Services, CRM Management, BI-DLC Processes, Backlog Grooming, Stakeholder Coordination

Industry

Philanthropic Fundraising Services

Description

Description UNIVERSITY OF ILLINOIS FOUNDATIONhas an immediate opening for aManager, Data Delivery & Operations The University of Illinois Foundation (Foundation) is the official fundraising and private gift-receiving organization of the University of Illinois (University). It works closely with alumni and friends, faculty and staff, corporations and foundations, as well as campus development professionals to create fundraising programs and opportunities that benefit the University. The Manager of Data Delivery & Operations oversees the intake, prioritization, coordination, and delivery of data warehouse and analytics development work for the organization’s enterprise data platform. Manages the operational workflow for the data engineering, development, and analytics teams, ensuring requests are properly defined, prioritized, and executed through established BI development lifecycle (BI-DLC) processes. This role functions similarly to a project manager for data platform delivery, coordinating small to mid-sized work efforts, partners with the PMO for larger initiatives, and supervises business analysts responsible for requirements gathering and documentation. DUTIES AND RESPONSIBILITIES: Manages a team of professionals, setting strategic priorities, directing, and prioritizing the team’s work. Delegates and reviews team members’ work to ensure it meets scope, requirements, and deadlines. Hires, trains, develops, and recognizes team members’ performance. Coordinate incoming work and regular releases by, prioritization, and coordination of work requests related to: Data warehouse development, semantic models, dashboards and reports, and other data requests Oversee and manage data projects of less than 100 hours, service packs, and operational requests. Establish and manage the data team intake process for new work requests and facilitate request intake meetings and backlog grooming. Serve as the primary coordination point for data-related projects and initiatives and partner with project managers to align significant data warehouse or reporting tasks with large projects. Ensure all work follows established software development lifecycle processes and improve and document processes related to data platform delivery and reporting development. REQUIRED QUALIFICATIONS: · Bachelor's degree, preferably in a business-related field, Information Systems, or Computer Science. Minimum 3-5 years of experience managing technical projects or coordinating work in a data warehouse, BI, or analytics environment. Experience coordinating technical team tasks related to software maintenance, enhancements, upgrades, releases activities, work prioritization and tasks coordination across teams. Knowledge of data warehouse development processes and reporting delivery lifecycles, and production support practices. Minimum of 2 years of release management coordination supporting technical teams such as data analysts, developers, and data engineers. Practical project management experience using Agile, hybrid or similar delivery methodologies. PREFERRED SKILLS/EXPERIENCE: Experience supporting Microsoft Fabric, Azure, or other cloud-based data and analytics platforms. Experience working with enterprise reporting and analytics tools such as Power BI, SQL Server Reporting Services (SSRS), or similar platforms. · Experience supporting data warehouse modernization, migration, or cloud transformation initiatives. · Experience working with fundraising, advancement, or nonprofit data environments, including CRM platforms such as Blackbaud CRM or similar donor management systems. · Knowledge of fundraising operations, philanthropy data, and advancement reporting practices · Project management certifications or accreditations (e.g., PMP, PMI-ACP, Certified Scrum Master, or similar). Application Deadline: June 21st, 2026 The starting salary range for this position is projected to be $92,000-$102,000 per year. While our job postings include salary ranges, your compensation will be based on your specific experience and qualifications—we're not limited by these posted ranges. You'll be inspired daily in our state-of-the-art, environmentally conscious workspace - a stunning LEED-certified building featuring contemporary amenities including an on-site wellness center and café with healthy dining options. We encourage work-life balance through our hybrid schedule for many positions, combining in-office collaboration with up to 2 days of remote work flexibility. Your comprehensive benefits package includes medical, vision, and dental coverage, company paid life insurance, generous vacation time including 24 days annually, and more. Generous pension benefits are also included. We invest in your present and future wellbeing, providing the support you need to succeed. Application Process: For full consideration for the role, all candidates must complete an online application and include a cover letter and resume. Candidates may create a profile through https://jobs.uif.uillinois.edu. For further information regarding application procedures, contact Foundation Human Resources at uifhrsearches@uif.uillinois.edu. THE UNIVERSITY OF ILLINOIS FOUNDATION IS AN EQUAL OPPORTUNITY EMPLOYER

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Responsibilities

Oversees the intake, prioritization, and delivery of data warehouse and analytics development for the enterprise data platform. Manages a team of professionals and coordinates the operational workflow for data engineering and analytics teams.