ChatGPT Jobs is seeking a Senior Solutions Engineer focused on Hospital Healthcare Data and Data Tools. The role emphasizes ensuring the accuracy and compliance of hospital and payer-facing healthcare data, translating business and clinical requirements into technical specifications, and communicating findings to various stakeholders.
Responsibilities:
- Translate business and clinical requirements into clear technical specifications for engineering and data teams
- Evaluate hospital and claims data for completeness, accuracy, and readiness for use in analytics products
- Identify data quality issues, missing fields, mapping gaps, and inconsistencies across EMR and claims sources
- Review SQL logic to confirm it matches product requirements, regulatory rules, and measure definitions
- Interpret and validate CMS, AHRQ, HEDIS, and other regulatory specifications to ensure correct implementation
- Document logic, data assumptions, and regulatory interpretations in a clear, traceable format
- Communicate findings to both technical and non‐technical stakeholders across product, engineering, and clinical teams
Requirements:
- Translate business and clinical requirements into clear technical specifications for engineering and data teams
- Evaluate hospital and claims data for completeness, accuracy, and readiness for use in analytics products
- Identify data quality issues, missing fields, mapping gaps, and inconsistencies across EMR and claims sources
- Review SQL logic to confirm it matches product requirements, regulatory rules, and measure definitions
- Interpret and validate CMS, AHRQ, HEDIS, and other regulatory specifications to ensure correct implementation
- Document logic, data assumptions, and regulatory interpretations in a clear, traceable format
- Communicate findings to both technical and non‐technical stakeholders across product, engineering, and clinical teams
- Strong background in healthcare analytics, hospital data, or payer-provider data workflows
- Hands-on experience with EMR data (Epic, Cerner strongly preferred)
- Strong SQL skills and ability to validate logic
- Familiarity with healthcare data standards (ICD, CPT, LOINC, SNOMED, NDC, HL7/FHIR)
- Experience interpreting CMS, AHRQ, HEDIS, or similar regulatory documentation
- Experience working with data warehouses (Snowflake, BigQuery, Redshift)
- Ability to work cross-functionally with product, engineering, and clinical stakeholders
- Curiosity about AI and willingness to use AI tools to accelerate analysis
- Epic/Cerner data is correctly understood, mapped, and validated early
- Regulatory rules and quality measures are implemented accurately with no rework
- Engineering builds align with requirements on the first pass
- Data issues are caught before they impact clients or downstream analytics
- A BS Degree is Preferred (MS Degree is a strong plus), Technical-Data-Focused Training or Certifications are preferred