• Define and maintain KPIs and metrics across the customer and patient lifecycle. • Use BI tools (e.g., Snowflake, Looker, Salesforce) to build and maintain internal and external reporting, such as OKR dashboards, scorecards, and healthcare program performance. • Work closely with Engineering and Product (Studio) teams on underlying data models, metric definitions, and data pipelines to ensure consistency across the organization. • Support development of QBRs, executive business reports, and Board materials by assembling data, generating insights, building visualizations, and crafting clear narratives for clinical, operational, and financial KPIs. • Design. launch, and operationalize LLM-enabled workflows and AI-powered assistants that turn raw data into usable narratives and insights (e.g., summarizing account performance, drafting QBR materials, synthesizing qualitative feedback), in close partnership with Studio. • Evaluate emerging LLM/AI capabilities to automate or augment commercial reporting and decision-making (e.g., automated account health digests, opportunity risk flags, pipeline and utilization summaries). • Analyze data to identify trends, leading indicators, and risk signals related to program health, customer satisfaction, renewals, and expansion opportunities.