Padmi
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Vida Health

virtual obesity care · GLP-1 medications

Senior Client Data Operations Specialist

Remote · United States$80k–$100k/yrPosted 3 months ago
Data Science And StatisticsSeniorFull Time Exempt
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Own ingestion of inbound feeds including eligibility records, medical and pharmacy claims, PAs, rosters, and vendor transitions. These datasets are sent by different carriers on varying cadences and quality standards.

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 prioritize where quality improvements matter most.

Maintain clear, accurate documentation of all active integrations, specs, data dictionaries, and known quality issues.

Monitor and manage ongoing inbound and outbound file exchange workflows, triaging issues and driving resolution with internal and external stakeholders.

Maintain SLA awareness across client feeds and escalate proactively when at risk.

Understand and troubleshoot ingestion pipeline behavior (parse → validate → transform → load); partner with engineering on root-cause analysis of failures, distinguishing source-data problems from pipeline problems.

Observe existing workflows and proactively identify opportunities to improve efficiency, reduce manual touchpoints, and increase data quality.

Partner with the product team to translate operational pain points into platform enhancements within Client Command Center: Configure.

Identify and drive standardization opportunities across clients and vendors- reducing one-off configurations and building toward scalable, repeatable patterns.

Work closely with the Data Management Associate to divide coverage, share knowledge, and build team capability.

Collaborate with engineering and product on integration specs and platform tooling.

Partner with Client Success Managers to ensure data operations align with client commitments and SLAs, which may include attendance at client-facing meetings.

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