Data Integrations Lead, Gifts & Records

University of Florida; Gainesville (FL); On-site; USD 50,000 - 60,000; Full time

Benefits offered by this job

Health insurance

Retirement plan

Paid time off

Tuition assistance

Professional development

Job summary

The University of Florida in Gainesville seeks an Integrations Manager, Gifts & Records, to lead data integrations and reconciliation across advancement systems on Main Campus. You will monitor performance, define business requirements, and collaborate with DIS and Finance to strengthen data quality and automate processes.

Responsibilities include managing day-to-day integrations, validating loads, resolving data exceptions, and driving improvements through automation, AI, and emerging

Qualifications

• Bachelor's degree in an appropriate area and two years of relevant experience.
• Two years of gift processing experience.
• Knowledge of basic accounting policies and procedures.
• Ability to maintain confidentiality and discretion in all matters.
• Data entry, proofreading, grammar, and spelling skills.
• Strong analytical and problem-solving skills.

Responsibilities

• Lead day-to-day operation of advancement data integrations and automated data exchanges.
• Resolve biographical interims flagged for manual review and donor matching.
• Oversee validation of system-generated sessions and automated data loads.
• Establish controls to identify incomplete, duplicate, or inaccurate records.
• Lead resolution of complex data exceptions with DIS/Finance.

Skills

Gift processing

Data-driven

Organizational skills

Time management

Communication skills

Education

Bachelor's degree

Tools

Windows OS

Microsoft Word

Excel

Access

Donor databases

Contact management systems

Tracking systems

Job description

The University of Florida in Gainesville seeks an Integrations Manager, Gifts & Records, to lead data integrations and reconciliation across advancement systems on Main Campus. You will monitor performance, define business requirements, and collaborate with DIS and Finance to strengthen data quality and automate processes.

Responsibilities include managing day-to-day integrations, validating loads, resolving data exceptions, and driving improvements through automation, AI, and emerging