• Lead the evaluation and continuous improvement of entity resolution and entity linking pipelines. • Debug new builds, identify anomalies, and recommend modeling or system-level improvements. • Define, implement, and maintain scalable performance and quality metrics, leveraging automation and LLM-based approaches where appropriate. • Partner with Engineering to optimize entity linking and ranking systems using Learning-to-Rank and related techniques. • Design methods to assess and classify entity confidence and quality across the graph. • Design and implement a comprehensive data quality framework for graph-based identity data. • Translate abstract quality concepts (e.g., reliability, stability, consistency) into measurable signals. • Identify and operationalize generalized, high-impact predictive signals derived from graph structure, temporal dynamics, and relational patterns. • Collaborate closely with Engineering, Product Management, Compliance, and downstream product teams. • Act as a technical leader within the Identity organization, influencing modeling standards, experimentation rigor, and best practices.