Note: The job is a remote job and is open to candidates in USA. Evolent is a healthcare company that partners with health plans and providers to improve outcomes for patients with complex health conditions. They are seeking a Senior Analyst for AI Transformation who will design and deploy AI-enabled analytics workflows, focusing on building data pipelines and supporting self-service analytics platforms.
Responsibilities
- Build Microsoft Fabric pipelines and consolidated Lakehouse models
- Develop certified views with reconciled metric definitions
- Engineer Azure OpenAI prompts for narrative and insight generation
- Build Python-based automation for reporting and compliance workflows
- Support self-service analytics platforms with text-to-SQL and routing logic
- Implement automated compliance and validation checks
- Build signal detection and alerting pipelines
- Track and analyze AI-driven program effectiveness
- Maintain build logs and time tracking aligned to ASC 350-40
- Create Copilot prompt playbooks and best practices
- Monitor pipeline health and resolve data issues
- Support Power BI automation and DAX libraries
Skills
- Bachelor's degree in a quantitative field (computer science, data science, statistics, mathematics, engineering) or healthcare-related discipline
- At least 3 years of professional experience in analytics engineering, data engineering, or applied AI/ML development
- Strong proficiency in Python (pandas, FastAPI, API integrations) and SQL (complex joins, window functions, CTEs across multiple database platforms)
- Experience with cloud data platforms, particularly Microsoft Azure (Azure Data Factory or Fabric, Azure SQL, Azure OpenAI or similar LLM APIs)
- Prompt engineering and LLM integration experience, including structured output generation and iterative prompt optimization
- Proficiency with Power BI and DAX; ability to build and troubleshoot reports and measures programmatically
- Experience with healthcare claims data, and healthcare-specific data structures
- Strong problem-solving abilities with a track record of building and deploying production-grade data pipelines and automation tools
- Ability to work independently with limited oversight while coordinating effectively with cross-functional teams
- Strong documentation practices, including the ability to maintain clear project logs, metric definition documents, and pipeline architecture records
- Master's degree in data science, computer science, or a related quantitative field
- Experience with Microsoft Fabric specifically (Data Factory pipelines, Lakehouse, Spark notebooks)
- Familiarity with python-pptx, openpyxl, or similar programmatic document generation libraries
- Experience with text-to-SQL systems or natural language interfaces to databases
- Knowledge of healthcare reimbursement (DRGs, CPT, RVUs) and utilization management analytics
- Experience with DevOps tooling (Azure DevOps, Git, CI/CD pipelines)
- Familiarity with capitalizable labor documentation under ASC 350-40 or similar frameworks
- Background in healthcare payer, managed care, or specialty risk-bearing organizations
Benefits
- Comprehensive benefits (including health insurance benefits) to qualifying employees
Company Overview