Technical Operations Associate

• Load and process incoming healthcare files (labs, claims, pharmacy) via secure SFTP delivery.
• Monitor file receipt and structure; troubleshoot schema mismatches or formatting issues.
• Maintain mapping dictionaries and manage ingestion tracking to ensure SLA
  compliance.
• Collaborate with Data Operations and Engineering to validate ingestion pipelines and
  surface file anomalies.
• Own outbound file delivery setup including: client-specific data dictionary creation,
  report-generator YAML configuration, SFTP connection management, and QA.
• Run outbound data generation scripts and validate files against client specs.
• Submit and manage PRs and coordinate with cross functional stakeholders as needed.
• Implement billing workflows using Google Sheets, dbt, and SQL transformations.
• Configure pricing, billable items, engagement rules, and grace periods based on contract requirements.
• Validate end-to-end setup using dashboards and raw data pipelines.
• Ensure all upcoming launch paying organizations are configured appropriately to ensure reporting pipelines reflect updated information.
• Run validations in BigQuery and Looker to confirm reporting dashboard accuracy.
• Source and align on requirements for program configuration alongside Product and
  Account Management stakeholders.
• Update operational tables and maintain changelogs for rule configuration changes.
• Deploy optimized program rules using custom Python scripts and Firestore.
• Partner with QA to validate member onboarding logic to ensure setup was implemented
  accurately.
• Coordinate with Product, Client Success, Engineering, and Analytics to ensure readiness across all launch-related workflows.
• Communicate clearly with both technical and non-technical stakeholders.
• Participate in continuous improvement efforts for tooling, templates, and SOPs.

Requirements:

• Bachelor’s degree in Health Informatics, Data Science, Business, Information Systems,
  or a related field.
• 1–3 years of experience in data operations, analytics, health tech, or implementation.
• Advanced working knowledge of SQL and strong skills in Excel/Google Sheets required.
• Experience using SFTP clients for secure file transfer, with the ability to navigate server
  directories, manage file permissions, and support user access configurations.
• Experience with dbt, GitHub workflows, and YAML configs preferred.
• Familiarity with healthcare data domains—labs, claims, pharmacy (Rx), or medical billing workflows—is strongly preferred and will help accelerate success in this role.
• Past working examples of using scripting languages (e.g., Python) to automate and
  execute tasks is a major bonus.