Qualified Health

Data Scientist

• Own the roadmap for data and analytics products, balancing customer commitments, internal builder needs, and platform reuse
• Define serving contracts, gold-layer marts, and semantic views for AI assistants, chat, workflows, and dashboards
• Own customer-facing dashboards, usage and adoption analytics, cost and token observability, and the KPI catalog
• Turn per-customer data builds into reusable data products with clear interfaces
• Define generalization requirements for scored and modeled outputs
• Write complete acceptance criteria before work enters a sprint
• Run the vetting process for customer-facing KPIs and own the metrics catalog
• Own cost observability, attributing model calls and pricing workflows
• Define reusable evaluation gates for AI-powered products, including validation, scale generalization, and post-go-live monitoring
• Own the governance product surface, including audit trails, monitoring, and compliance evidence
• Establish ownership contracts for ETL, business logic, and integration surfaces
• Define success metrics for reuse and data product health
• Navigate HIPAA, data privacy, and clinical safety requirements
• Sit on the Platform pod, report to the SVP of Product, and partner with data platform, analytics, engineering, and product leadership

Senior AI Product Manager – Data and Governance

Frontend Engineer

• Develop and implement the user experience of our AI SaaS platform and integrate it into the rest of our infrastructure
• Write clean, maintainable code using modern front-end tech stacks
• Optimize the platform experience for speed and scalability
• Rapidly iterate based on user feedback and analytics
• Participate in code reviews and contribute to the overall architecture

Senior AI Product Manager – Data and Governance

Staff Frontend Engineer