RCM Data & Migration Lead

RCM Data & Migration Lead

Location: Chicago, IL

Onsite Flexibility: Remote

Contract Details

• Position Type: Contract
• Contract Duration: 3 months (with potential for extension supporting additional practice migrations)
• Pay Rate: $40.00 $45.00 / Hour (USD)
• Shift / Schedule: Days; strong coverage during U.S. business hours required; 40 hours per week
• Work Authorization: Applicants must be authorized to work for ANY employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time.

Job Summary

Our client is seeking an experienced RCM Data & Migration Lead to support a physician-practice revenue cycle management migration to Unlimited Financials / Unlimited Systems. This is a hands-on, techno-functional role requiring strong experience across RCM operations, healthcare data, platform migration and data validation. The successful candidate will work closely with business, platform and data teams to support source-to-target mapping, data cleanup, migration testing, reconciliation and issue resolution. The ideal candidate will bring direct experience within physician-practice or oncology RCM environments and be comfortable translating between operational stakeholders and technical delivery teams.

Key Responsibilities

• Serve as the primary techno-functional liaison across RCM business, Unlimited Financials platform and data teams.
• Lead and support source-to-target data mapping for physician-practice RCM migrations.
• Perform and coordinate data cleanup, transformation, validation and reconciliation activities.
• Develop detailed migration test cases and support execution across test and validation cycles.
• Analyze data discrepancies and migration issues and drive resolution across business and technical teams.
• Validate migrated data for completeness, accuracy and business usability.
• Identify and communicate migration risks, dependencies, issues and progress to project stakeholders.
• Support troubleshooting across source systems, target platform and data pipelines.
• Maintain clear documentation for data mappings, validation rules, issues and migration decisions.
• Work appropriately with protected health information (PHI) in accordance with HIPAA requirements.

Required Skills

• Strong experience with data mapping.
• Strong experience with data reconciliation.
• Strong experience with data validation.
• Strong experience with migration testing.
• Strong experience with issue analysis and resolution.
• Strong SQL and data-analysis skills.
• Experience supporting complex data migration initiatives involving multiple business and technical stakeholders.
• Experience handling PHI in HIPAA-regulated environments.
• Strong written and verbal communication skills.
• Ability to translate effectively between business requirements, platform capabilities and technical data requirements.

Preferred Skills

• Experience supporting multiple physician-practice migrations.
• Previous experience within oncology, specialty care or healthcare services environments.
• Experience working across legacy and target RCM platforms during large-scale migration programs.
• Familiarity with data quality, migration controls and production validation processes.
• Experience working in consulting or client-facing delivery environments.

Required Experience

• 7 years of relevant experience across RCM, healthcare data, data migration or related technical delivery roles.
• Hands-on experience with physician-practice or oncology revenue cycle management.
• Experience working with Unlimited Financials / Unlimited Systems.

Benefits

• Medical, Vision, and Dental Insurance Plans
• 401k Retirement Fund

About GTT

GTT is a minority-owned staffing firm and a subsidiary of Chenega Corporation, a Native American-owned company in Alaska. We highly value diverse and inclusive workplaces and support Fortune 500 organizations across banking, financial services, technology, life sciences, biotech, utilities, and retail sectors throughout the U.S. and Canada.

Job Number: 26-14919 Industry: Data & Analytics

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