The company is looking to ensure that enterprise data used for reporting, modeling, key business decisions and executing end-to-end business processes is ‘fit for purpose’.
Requirements
- Foundational data quality principles and how they contribute to ‘fit for purpose’ data
- Hands-on expertise in leveraging Domain Specific Languages such as SQL to retrieve, combine and manipulate large data sets
- Deep understanding of enterprise data management concepts, principles and current industry practices
- Experience in using data gap remediation and data quality monitoring tools (particularly Microsoft DevOps (TFS), Ab Initio, Collibra, IBM InfoSphere or Informatica Data Quality)
- Familiarity with Federal Reserve Bank (FRB) and/or Office of the Comptroller of the Currency (OCC) regulatory requirements
- Concepts of business analytics and familiarity with business intelligence tools such as Python, Tableau, Qlik, MS Power BI, MS Teams, SharePoint, etc
- General familiarity with risk and control framework of Category IV financial institution
Responsibilities
- Fully understand various data and reporting flows across the Regulatory Reporting areas to identify data sourcing gaps
- Analyze and document the data flows from source to target systems into a Business Requirements document, identifying the data transformations that are required, as well as improvement opportunities for the data flows
- Use Ab Initio tool to load data catalogs, required business terms / definitions, link business to technical data elements, categorizing criticality of each data element, and working with IT to complete the data lineage from data sources to reports
- Maintain project deliverables including reporting and tracking status using PowerPoint, Excel, SharePoint, Teams and Microsoft Azure DevOps (TFS) tracking tool
- Create effective presentations to be used with business audiences of various levels
- Support day-to-day activities that align to data sourcing, and to optimize metrics and progress reporting processes
- Track, resolve and escalate issues for own projects while keeping relevant stakeholders informed
Other
- BS/BA degree in Computer Science / Business / MIS (equivalent combination of education, experience and/or training approved by Human Resources) preferred, with a minimum of 3-5 years of Data Governance experience
- Strong “soft” skills in collaboration, facilitation, coordination, logistics, presentation, marketing, and excellent communication skills (both written and verbal)
- Organizational and planning skills, showing an ability to operate in a multi-geography, matrix organization; managing and where necessary leading activities through cross-functional teams, with the discipline to track delivery of complex deliverables over multiple months
- Less than 25% travel required
- Hybrid workstyle
- Industry certification around data management and data quality controls desired (DAMA-DMBOK/DCAM or similar)
