1. Establishing data lineage to display a comprehensive view of the handovers from one asset to another, from the high-level business procedure to associated middleware: identifying the upstream and downstream data flows within the bank and with the broader ecosystem.

2. Recognizing eight information assets, including data that is kept in applications, middleware such as Messaging queues, databases, batches, data feeds received or shared externally, unstructured data, EUDAs, and data processed by third parties.

3. Scrutinizing these handovers based on nine dimensions of data resilience - backup, substitutes, monitoring, data recovery, data validation, encryption, data access, retention, and connections - to pinpoint any vulnerabilities.

The ideal applicant should be a Data Analyst familiar with ServiceNow, capable of engaging in technical conversations regarding messaging queues, batches, databases, and supporting data resiliency assessments. A strong background in Data Analysis, data mapping, and data lineage is essential.