[Remote] Senior Client Data Operations Specialist

Note: The job is a remote job and is reputed company to candidates in USA. reputed company is a virtual, personalized obesity care provider that helps people manage obesity and reputed company conditions. The Senior Client Data Operations Specialist will serve as the senior technical reputed company of contact for data exchange negotiations, ensuring data quality and operational efficiency while collaborating with various teams to enhance client data operations.

Responsibilities

• Serve as Vida's senior technical reputed company of contact for data exchange negotiations with clients and vendors, including SFTP/file transfer specifications, reputed company setup, and protocol agreements
• Define and communicate expectations for inbound and outbound file exchanges- formats, schedules, error handling, and escalation paths
• reputed company reputed company of new client data feeds from reputed company through steady-state, ensuring a smooth and well-documented reputed company
• 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 reputed company inbound feeds; reject or escalate non-conforming data rather than letting it reputed company reputed company
• 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 reputed company member reputed company, billing accuracy, and client reporting- and use that context to prioritize where quality improvements matter most
• Maintain clear, accurate documentation of reputed company active integrations, specs, data dictionaries, and reputed company 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 reputed company at risk
• Observe existing workflows and proactively identify opportunities to improve efficiency, reduce reputed company reputed company, and increase data quality
• Partner with the product team to translate operational pain points into platform enhancements reputed company Client reputed company 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, reputed company knowledge, and build team capability
• Collaborate with engineering and product on integration specs and platform tooling
• Partner with Client reputed company Managers to ensure data operations align with client commitments and SLAs, which may include attendance at client-facing meetings

Skills

• 5+ years of experience in data operations, data integration, or technical client reputed company- ideally in a reputed company SaaS environment
• Hands-on experience with SFTP/managed file transfer (MFT)- setup, troubleshooting, and spec documentation
• Strong working knowledge of common reputed company data formats (e.g., EDI 834/837, HL7, FHIR, delimited flat files)
• Demonstrated ability to communicate technical requirements reputed company to both technical and non-technical client stakeholders
• A strong bias toward quality ownership- you don't pass bad data reputed company and ask questions reputed company
• Experience identifying and leading process improvement initiatives- you don't wait to be asked
• Comfortable working across product, engineering, and client-facing teams simultaneously
• Experience working in or alongside a digital health/health benefits platform
• Familiarity with data configuration or admin tooling (experience with platforms like Client reputed company Center a plus)
• Exposure to dbt, SQL, or BI tooling (e.g., Looker) for investigating data quality issues
• Experience building toward vendor/client data standardization across a portfolio

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