Wholesale Lending Data Project Manager

• Manage large, transformative initiatives that impact multiple LOBs and/or products
• Define key outcomes for the project and ensure clear communication and agreement with relevant stakeholders
• Communicate closely with business and technology partners to granularly define requirements and create systemic and/or manual processes to define solutions to satisfy said requirements
• Lead the project end to end, driving solutions with evidence through the performance of data analysis activities utilizing Excel, SQL and/or Python
• Define and own the resolution of issues by developing cross-functional solutions utilizing a strategy the candidate defined
• Ensure continuous measurement and communication of progress throughout project execution
• Record meeting summaries and follow-up actions for distribution to relevant stakeholders
• Closely monitor project progress, ensure proper engagement and timely completion
• Identify potential risks and issues and establish corresponding mitigation plans
• Execute mitigation plans to achieve path to green and ensure prompt escalation where needed
• Own project management activities & generation of project reporting, including Enterprise PM tool (PTS-W) documentation
• Generate presentations for senior stakeholders on project/program status
• Utilize already-established baseline understanding of financial instruments to build on the knowledge necessary to complete the project at hand
• Provide functional support to drive continuous process improvement across the Loans area

• 8+ years of experience executing and leading projects in Data or Business Analytics, Banking Consultancy, major Data Driven implementations or similar complex initiatives
• Experience working with financial data and baseline understanding of financial instruments, especially those related to loans
• An understanding of credit risk management, financial & regulatory reporting
• Advanced knowledge of MS Office, especially Excel, Visio, PowerPoint
• Foundational knowledge of SQL/Python a plus

Foundational knowledge of SQL/Python