Data Governance Analyst; LFI

Data Governance Analyst

The Data Governance Analyst will lead and support various data governance efforts across the Business Unit areas to ensure that enterprise data used for reporting, modeling, key business decisions and executing RJF end-to-end business processes is available, documented and 'fit for purpose'. This position will report to the Director of Data Governance in the Chief Administration Office and support RJF as it builds its capabilities to transition to a Category IV institution (LFI).

The Data Governance Analyst is responsible for supporting enterprise efforts underway to identify and document all business and technical metadata required to source data leveraged for various Enterprise deliverables outlined above. In addition, the Data Governance Analyst will be responsible for supporting the documentation of all identified gaps related to Data Sourcing; collaborating with Technology to ensure that data effectively traverses from source to target systems;

supporting the development and socialization of the appropriate metrics and progress reporting to various forums and councils; documenting and improving operational processes, including approval and escalation plans, data risk and controls adoption and implementation. The person in this role will partner with subject matter experts in Regulatory Reporting, Compliance, Technology, and other work streams in the Category IV program to drive data strategy and continue to scale and improve the operating model for sourcing Enterprise data.

• Fully understand various data and reporting flows across the Regulatory Reporting areas to identify data sourcing gaps
• Support the identification and documentation efforts for all Enterprise data sets
• 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 and required Business Terms and definitions, link Business to Technical Data Elements, categorize criticality of each Data Element, and complete the data lineage from upstream data sources to reports
• Correspond and execute deliverables aligned with principles, policies, frameworks and procedures laid at the firm or business unit or function levels as per the guidance from the Chief Administrative Officer heading up the Business Controls & Risk function.
• Collaborate with appropriate business stakeholders/remediation owners to implement the appropriate data quality controls, help remediate data gap issues and improve processes to prevent future data concerns.
• Ongoing monitoring and maintenance of Enterprise Business Glossaries and Data Dictionaries
• Track, resolve and escalate issues for own projects while keeping relevant stakeholders informed.
• Maintain project deliverables including reporting and tracking status using PowerPoint, Excel, SharePoint, Teams and Microsoft Azure Dev Ops (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.

• Foundational data governance principles and how they contribute to 'fit for purpose' data.
• Concepts, principles and practices of internal controls and data management and governance.
• Principles of banking, finance and securities industry operations, and familiarity with accounting and finance related topics.
• General familiarity with risk and control framework of Category IV financial institution.
• Concepts of business analytics and familiarity with business intelligence tools such as Python, Tableau, Qlik, MS Power BI, MS Teams, SharePoint, etc.
• Experience in using data gap remediation and data quality monitoring tools (particularly Microsoft Dev Ops (TFS), Ab Initio, Collibra, IBM Info Sphere or Informatica Data Quality) is a plus.
• Familiarity with Federal Reserve Bank (FRB) and/or Office of the Comptroller of the Currency (OCC) regulatory requirements is a plus.

• Hands-on expertise in leveraging Domain Specific Languages such as SQL to retrieve, combine and manipulate large data sets.
• Broad understanding of enterprise data management concepts, principles and current industry practices.
• Strong "soft" skills in collaboration, facilitation, coordination, logistics, presentation, marketing, and excellent communication skills (both written and verbal).
• Deep experience delivering data quality improvements and scaling data governance capabilities in a complex, transforming, multi-national banking environment.
• 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.
• Excellent communication skills (both written and verbal),…