• Support ETS by supporting the identification of data risk, performing root-cause-analysis of data incidents, and contributing to the remediation of audit and regulatory feedback. 

• Develop a working knowledge of the Enterprise Data Management Operating Policy and ETS specific governance practices to support the Data Office in the execution of its role  

• Support platform data quality monitoring, including but not limited to key reports. 

• Perform data profiling to understand ETS data and identify data risks 

• Support the assessment and identification of data risk, working with upstream data providers, downstream business partners, as well as technology teams. 

• Partner with Process Owner and Data Custodian teams to write, test, implement data quality controls 

• Coordinate with Business Units and other Business Unit Data Offices to ensure System level Lineage is documented completely and accurately 

• Build platform expertise to aid in the identification of critical data elements and contribute to the roadmap to govern the data elements. 

• Support product managers to ensure new use cases are managed according to policy. 

• 2 – 5 years of experience executing data governance and data management responsibilities in a regulated or risk-managed environment (e.g., regulatory reporting, risk management, financial services). 

• Strong communication skills and ability to summarize information and tailor messaging depending on level of audience  

• Intermediate understanding of Data Management and Data Governance concepts (metadata, lineage, data quality, business glossary, data risk and incident management, etc.) and prior experience. 

• Prior experience with system or data analysis  

• Intermediate competency in SQL, BigQuery, Python or other programming languages. 

• Prior experience in Technology risk, IT governance or Technology Data Management preferred. 

• Prior experience with Agile or SAFe project methodologies. 

• Prior experience of data governance, metadata, and data lineage tools such as Collibra, MANTA, etc. 

• Bachelor's degree in Finance, Engineering, Mathematics, Statistics, Computer Science, or other similar fields. 

ORMCM
Guardian