Note: The job is a remote job and is open to candidates in USA. Vida Health is a virtual, personalized obesity care provider focused on improving healthcare through evidence-based treatment. They are seeking a Senior Client Data Operations Specialist to manage data exchange between Vida and its clients and vendors, ensuring the reliability and quality of data feeds.
Responsibilities
- 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
Skills
- Bachelors degree preferred or equivalent applicable experience
- 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) with emphasis on: medical claims, eligibility files, plus pharmacy claims (NCPDP Post Adjudication), prior authorizations, rosters, vendor-transition files, and delimited flat files
- Experience mapping vendor data files to a defined target schema/spec
- Experience profiling, validating, and reconciling incoming data (data QA, error handling). Quality as a concrete competency, not just a mindset
- Working knowledge of data ingestion pipelines that includes how files are parsed, validated, transformed, and loaded; ability to debug pipeline failures and distinguish source-data problems from pipeline problems
- Working SQL proficiency for independent data quality investigation
- Experience handling many concurrent feeds with non-standard formats and varying quality across multiple carriers and cadences
- 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
- Experience working in or alongside a digital health/health benefits platform
- Familiarity with data configuration or admin tooling (experience with platforms like Client Command Center a plus)
- Familiarity with clinical data standards (HL7, FHIR) — useful but secondary to the claims focus of this role
- Experience building toward vendor/client data standardization across a portfolio
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