Location: OH, United States

The Finance VP within the Firmwide Forecast & Aggregation (FFA) team is responsible for leading the delivery of firm-wide financial data, reporting, and projections for P&A, CFO, Board, and regulatory stakeholders at JPMorgan Chase. This role requires a seasoned leader who can take ownership of complex processes, drive tasks to completion even when all facts are not known, and inspire teams to deliver results under pressure. The VP will oversee data collection, enrichment, controls, financial calculations, and reporting, as well as identify and implement enhancements to data, systems, and forecast consolidation processes. The candidate will leverage advanced data analytics, collaborate with technology partners to modernize infrastructure, and support the development of flexible self-service tools. The VP will challenge and improve business processes and application architecture, ensuring robust controls and accurate financial insights.

Job Responsibilities:

• Lead and motivate cross-functional teams to deliver large-scale financial data initiatives and enhancements.
• Take ownership of end-to-end processes, ensuring tasks are driven to completion, even with limited information or direction.
• Oversee execution of consolidated P&L, balance sheet, capital forecasts, and key business metrics for the Firm and major Legal Entities.
• Streamline financial data collection and aggregation using advanced analytics and technology.
• Support and enhance controls around data and systems informing financial performance and projections.
• Partner with technology to modernize infrastructure and deliver self-service tools.
• Analyze and challenge current and future business processes to identify opportunities for improvement and automation.
• Present complex financial conclusions clearly to senior stakeholders.

Required qualifications, skills, and capabilities:

• Bachelor’s degree in Accounting, Finance, or a technical field.
• Minimum 7+ years of experience in finance, technology, or product ownership.
• Proven leadership skills with experience driving global teams and initiatives.
• Strong data analytics, problem-solving, and problem-solving abilities.
• Familiarity with financial concepts and calculations.
• Excellent communication and presentation skills.
• Ability to execute under pressure and with incomplete information.
• Advanced proficiency in SQL, Python, or other relevant programming languages.