Vida

Healthcare

SeniorClientDataOperationsSpecialist

$80–100k United States FULL TIME Remote Friendly
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Senior candidates.

The Brief

“Senior Client Data Operations Specialist at Vida”

Industry & Context.

Healthcare
Full Job Description

## Description ABOUT US   At Vida, we help people get better- and we're helping the healthcare system get better, too.   Vida is a virtual, personalized obesity care provider that uses evidence-based treatment to help patients manage obesity and related conditions like diabetes, high blood pressure, anxiety and depression. Vida's team of Obesity Medicine-Certified Physicians, Registered Dietitians, Expert Coaches and Licensed Therapists takes a whole-person approach to care, helping people lose weight, reduce stress and improve their overall health.   By combining advanced technology with top-notch healthcare providers, Vida is breaking down the barriers that have historically kept people from getting the best care. It's trusted by Fortune 100 companies, major national payers and large providers to enable their employees to live their healthiest lives. ## Responsibilities Serve as Vida's senior technical point of contact for data exchange negotiations with clients and vendors, including SFTP/file transfer specifications, connection setup, and protocol agreements. Define and communicate expectations for inbound and outbound file exchanges- formats, schedules, error handling, and escalation paths. Lead onboarding of new client data feeds from kickoff through steady-state, ensuring a smooth and well-documented handoff. Own the quality of data received from clients- you are the accountable party for ensuring inbound files are complete, accurate, timely, and spec-compliant. Establish and enforce data quality standards and acceptance criteria for all inbound feeds; reject or escalate non-conforming data rather than letting it flow downstream. Proactively detect quality degradation trends before they become business-impacting issues, and drive resolution directly with client technical teams. Partner with engineering and analytics to understand how upstream data quality affects downstream member outcomes, billing accuracy, and client reporting- and use that context to prior

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