- Build end-to-end reporting solutions in data management and visualization tools specific to the health system business.
- Translate health system related business questions into clear metrics and executive-ready visualizations.
- Leverage AI-assisted tools (e.g., Cursor, Claude Code, Copilot) to accelerate development, automate workflows, and improve documentation.
- Improve scalability through reusable logic, standardized models, and quality checks and validation processes.
- Redesign operational workflows, especially around reporting and performance tracking.
- Replace manual, duplicative, or error-prone processes.
- Standardize how data is consumed across teams.
- Work across the organization to align on metric definitions and reporting requirements.
- Act as a central coordinator across teams to drive progress and accountability.
- Partner with IT and Engineering to ensure clean data pipelines.
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