Senior Client Data Operations Specialist
New
Based in the United StatesFull-TimeSenior
Salary80,000 - 100,000 USD per year
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Job Details
- Experience
- 5+ years
- Required Skills
- SQLdbtLooker
Requirements
- 5+ years of experience in data operations, data integration, technical client support, or similar roles in a healthcare SaaS or regulated environment.
- Hands-on experience with SFTP/MFT systems, including setup, troubleshooting, and documentation of file transfer specifications.
- Strong knowledge of healthcare data formats such as EDI 834/837, HL7, FHIR, and structured flat files.
- Proven ability to manage complex client integrations and communicate technical requirements to technical and non-technical stakeholders.
- Strong ownership mindset with a clear focus on data quality, accuracy, and downstream impact.
- Experience driving process improvements and standardization initiatives in data or integration workflows.
- Ability to collaborate effectively across engineering, product, analytics, and client-facing teams.
- Strong analytical and problem-solving skills with attention to detail and process rigor.
- Exposure to data tooling such as SQL, dbt, or BI platforms (e.g., Looker).
- Familiarity with healthcare or digital health ecosystems and client data configuration tools.
Responsibilities
- Serve as the senior technical point of contact for client and vendor data exchanges, including SFTP/MFT setup, file transfer configuration, and protocol alignment.
- Define, document, and enforce data exchange requirements, including file formats, schedules, error handling, and escalation procedures.
- Lead onboarding of new client data feeds from initial setup through stabilization, ensuring accurate and well-documented integration handoffs.
- Own inbound data quality, ensuring all client files are complete, accurate, timely, and fully compliant with defined specifications.
- Establish and enforce data quality standards and acceptance criteria, proactively rejecting or escalating non-compliant data.
- Monitor ongoing file exchanges to detect issues, performance degradation, or SLA risks, and coordinate timely resolution.
- Identify trends in data quality issues and proactively collaborate with client technical teams to resolve root causes.
- Maintain comprehensive documentation of all integrations, data specifications, dictionaries, and known issues.
- Partner with engineering, product, and analytics teams to understand downstream impact and prioritize data improvements.
- Identify and drive opportunities for standardization, automation, and process optimization across client integrations.
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