You'll drive the build-out of a platform that ingests data from a wide variety of source systems, maps it to a canonical ontology, surfaces discrepancies ("breaks") between source data and ontology definitions, and gives business and technical users configurable tools to manage those mappings and exceptions, all in a financial services data environment where scale, correctness, and auditability matter. Experience building configurable, multi-tenant-style platforms or internal products where business users define behavior (rules, mappings, workflows) without engineering intervention, e.g., rules engines, low-code configuration layers, or plugin/connector architectures.