Contract Lifecycle Management Analyst | Data Analyst
UF Health Gainesville, Florida, United States
Hospitals and Health Care · 10,001+ employees
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About the role
Support the transition to a centralized Contract Lifecycle Management platform by triaging, validating, and migrating contract documents from legacy systems and other repositories. Ensure data accuracy, legal alignment, and compliance with defined scope standards to improve contract visibility and operational readiness.
What they look for
Requirements
A bachelor's degree is required, or at least three years of experience in document management, contracting, legal documents, accounting, finance, or supply chain. Candidates should have strong attention to detail, be able to apply repeatable decision criteria and work with large document sets and structured data, and demonstrate Microsoft Office proficiency and strong organizational and communication skills.
Full description
Overview
Contract Lifecycle Management Software
💻 Work Style: Onsite (hybrid options are available following 90-day training period)
📍 Location: Gainesville, Florida
🕒 FTE: Full-Time (1.0 FTE)
⏰ Schedule: Monday – Friday, 8:00 AM – 5:00 PM
The CLM Data Analyst is responsible for supporting UF Health's transition to a centralized Contract Lifecycle Management (CLM) platform (Evisort within Workday). This role focuses on triaging, validating, and migrating contract documents from legacy systems and other repositories into the CLM system while ensuring data accuracy, legal alignment, and adherence to defined scope standards. This position plays a critical role in improving contract visibility, compliance, and operational readiness.
Qualifications
Minimum Requirements:
Education: Bachelor's degree. In lieu of bachelor's degree, a minimum 3 years of experience in document management, contracting, legal documents, accounting, finance, or supply chain.
Experience: Strong attention to detail and ability to apply repeatable decision criteria. Ability to work with large document sets and structured data. Proficiency with Microsoft Office. Strong organizational and communication skills.
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