Job Description

DATA SOURCING MANAGER

W2 contract (USC/GC)

St. Petersburg, FL

The Data Sourcing Manager will lead and participate in data scoping and procurement efforts across the Business Unit areas to ensure that enterprise data used for Regulatory reporting, modeling, key business decisions and executing business processes is effectively sourced from the appropriate data systems. This position will report to the Director of Data Remediation in the Chief Administration Office and support RJF as it builds its capabilities to transition to a Category IV institution (LFI).

• The Data Sourcing Manager is responsible for collaborating with Business Subject Matter Experts (SMEs), Data Custodians and Regulatory reporting SMEs to identify and document all business and technical metadata required to source data required for various Enterprise deliverables outlined above.
• In addition, the Data Sourcing Manager will be responsible for documenting all identified gaps related to Data Sourcing; collaborating with Technology to ensure that data effectively traverses from source to target systems;
• Developing and publishing 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 others 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 gaps
• 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.
• Lead identification and documentation efforts for all Enterprise data sets.
• Lead the analysis and documentation of 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
• Lead processes that leverage 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
• Collaborate with appropriate business stakeholders/remediation owners to implement data quality controls, help remediate data gap issues and improve processes to prevent future data concerns.
• 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 DevOps (TFS) tracking tool.
• Create effective presentations to be used with business audiences of various levels.

Skills:

• Lead all day-to-day activities to support data sourcing, and to optimize metrics and progress reporting processes.
• Foundational data governance principles and how they contribute to trusted data.
• General familiarity with regulatory reports of Category IV (or higher) financial institutions and experience in interpreting regulatory reporting instructions.
• 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 DevOps (TFS), Ab Initio, Collibra, IBM InfoSphere 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.
• Deep understanding of enterprise data management concepts, principles and practices.
• Strong “soft” skills in collaboration, facilitation, coordination, logistics, presentation, marketing, and excellent communication skills (both written and verbal).
• Outstanding project management skills; proficient with project management tools and techniques; can easily manage multiple issues simultaneously.
• Experience delivering data quality improvements 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), including the ability to present complex concepts and strategies successfully.
• Leverage strong negotiation, influencing and stakeholder management skills across different levels of the organization
• Demonstrated strong execution capabilities and entrepreneurial mind set to go above and beyond delivering core responsibilities.

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