Vendor Support Specialist

Datavant
Remote - United StatesPosted 16 March 2026

Tech Stack

Job Description

Datavant is the data collaboration platform trusted for healthcare. Guided by our mission to make the world’s health data secure, accessible and actionable, we provide critical data solutions for organizations across the healthcare ecosystem - including providers, health plans, researchers, and life sciences companies. From fulfilling a single patient’s request for their medical records to powering the AI revolution in healthcare, Datavanters are building the future of how data is connected and used to improve health. By joining Datavant today, you’re stepping onto a driven and highly collaborative team that is passionate about creating transformative change in healthcare. Description Introduction Datavant is a data platform company and the world’s leader in health data exchange. Our vision is that every healthcare decision is powered by the right data, at the right time, in the right format. Our platform is powered by the largest, most diverse health data network in the U.S., enabling data to be secure, accessible and usable to inform better health decisions. Datavant is trusted by the world’s leading life sciences companies, government agencies, and those who deliver and pay for care. By joining Datavant today, you’re stepping onto a high-performing, values-driven team. Together, we’re rising to the challenge of tackling some of healthcare’s most complex problems with technology-forward solutions. Datavanters bring a diversity of professional, educational and life experiences to realize our bold vision for healthcare. What We’re Looking For: We are seeking a Vendor Support Specialist to support vendor operations through centralized review of incoming files and early identification of errors that could lead to inaccurate chart requests. This role focuses on file accuracy, pattern recognition, and clear communication with internal teams to prevent waste and improve downstream retrieval performance. The ideal candidate brings strong attention to detail, comfort working with data, and a steady approach to spotting issues and recommending improvements. What You Will Do: Review HIH files to confirm completion and accuracy. Identify errors that could trigger inaccurate chart requests and flag issues for correction to reduce operational waste. Track recurring error types and share findings with department leadership for process improvement. Maintain clear documentation of review outcomes, error trends, and required adjustments. Partner with internal teams to clarify file requirements and update review criteria as business needs change. Assist in root cause analysis when large scale or repeated file issues surface. Monitor vendor performance related to file quality and escalate concerns when thresholds are not met. Support training efforts by providing real examples of common errors and recommended fixes. Contribute to reporting on accuracy rates, trends, and the impact of QA review on downstream retrieval performance. Support the review of internal client-related support requests and provide timely responses via Datavant’s support ticketing system within defined SLA expectations. Ensure that submitted tickets for inventory disposition changes are accurate and correctly reflect the work done. Review documentation quality of notes included with disposition tickets to ensure they are accurate and represent the work done What You Need to Succeed: At least 2 years of professional experience in healthcare operations Experience with provider record retrieval workflows, financial analysis, or data analysis preferred Strong proficiency in Excel required, familiarity with PowerBI and/or Sigma preferred; comfortable working with data to validate accuracy and spot trends. Sharp attention to detail and sound judgment when reviewing inventory files and identifying potential errors. Ability to break down issues, document findings clearly, and work with partners to resolve problems. Collaborative communication style and e ... (truncated, view full listing at source)
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