The Senior Analyst, AI Transformation is a hands-on builder who designs and deploys AI-enabled analytics workflows.
This role blends analytics engineering, automation, and practical AI implementation.
This role works directly on the technical execution of transformation initiatives.
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.

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.

Senior Analyst, AI Transformation

Key skills