ABOUT US
At Vida, we help people get better- and we're helping the healthcare system get better, too.
Vida is a virtual, personalized obesity care provider that uses evidence-based treatment to help patients manage obesity and related conditions like diabetes, high blood pressure, anxiety and depression. Vida's team of Obesity Medicine-Certified Physicians, Registered Dietitians, Expert Coaches and Licensed Therapists takes a whole-person approach to care, helping people lose weight, reduce stress and improve their overall health.
By combining advanced technology with top-notch healthcare providers, Vida is breaking down the barriers that have historically kept people from getting the best care. It's trusted by Fortune 100 companies, major national payers and large providers to enable their employees to live their healthiest lives.
Responsibilities:
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.
Qualifications:
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.
Preferred:
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).
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.