
Wholesale Lending Data Project Manager - HEREDIA
- Heredia
- Permanente
- Tiempo completo
- 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
- Bachelor’s degree in Business, Finance, Data Science or Analytics, Statistics, Computer Science, Engineering, or other similar degrees
- Master’s degree is a plus