Senior Client Data Operations Specialist

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🕒 Junho 11

🇺🇸 Estados Unidos – Remoto (EUA)

💵 $80.000 - $100.000 / ano

⏰ Tempo Integral

🟠 Sênior

⚙️ Operações

🦅 Patrocina Visto H1B

info

🗣️🇺🇸🇬🇧 Inglês obrigatório

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Logo of Vida Health

Vida Health

501 - 1000 funcionários

Fundada em 2014

⚕️ Seguro de Saúde

🧘 Bem-estar

☁️ SaaS

Healthcare Insurance • Wellness • SaaS

A Vida Health é uma empresa comprometida em melhorar os resultados de saúde para várias condições físicas e mentais, incluindo diabetes, obesidade, depressão e hipertensão. Oferecem um cuidado personalizado, liderado por profissionais humanos, combinado com tecnologia digital para gerenciar e tratar essas condições complexas. A Vida Health faz parcerias com empregadores, planos de saúde e consultores para fornecer soluções abrangentes de saúde. Seus serviços incluem bate-papos por vídeo e mensagens de texto com provedores de saúde, e utilizam aprendizado de máquina e dispositivos sincronizados para personalizar o atendimento aos membros. Eles focam em economias de custo significativas e na melhoria dos resultados de saúde para condições cardiometabólicas, garantindo resultados e oferecendo até 100% das taxas de risco tanto para cuidados físicos quanto mentais.

Descrição

• 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. • 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.

🎯 Requisitos

• 5+ years of experience in data operations, data integration, or technical client success- ideally in a healthcare SaaS environment. • Hands-on experience with SFTP/managed file transfer (MFT)- setup, troubleshooting, and spec documentation. • Strong working knowledge of common healthcare data formats (e.g., EDI 834/837, HL7, FHIR, delimited flat files). • Demonstrated ability to communicate technical requirements clearly to both technical and non-technical client stakeholders. • A strong bias toward quality ownership- you don't pass bad data downstream and ask questions later. • Experience identifying and leading process improvement initiatives- you don't wait to be asked. • Comfortable working across product, engineering, and client-facing teams simultaneously.

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