Partner with data engineering and business stakeholders to modernize static data quality rules, such as null checks, format checks, and cross-field validations, by introducing contextual quality validation that can learn from historical data, market behavior, and cross-dataset relationships. Support the design, governance, and transformation activities for portfolio, security master, and reference data across enterprise platforms, including data model review, conversion analysis, controls, and cross-functional stakeholder alignment.