VP, Data Analytics & AI: Portfolio Intelligence & Execution

Aumni; Jersey City (NJ); On-site; USD 250,000 - 400,000; Full time

Job summary

JPMorgan Chase & Co. in Jersey City seeks a Vice President to lead the evolution of Infrastructure Platforms' data and decision intelligence.

You will enable faster, more informed decision-making across portfolio management, investment governance and execution by leveraging analytics, automation and AI-enabled solutions. The role focuses on building reusable analytics patterns, scalable reporting, and stakeholder collaboration across technology, risk and controls to ensure responsible AI usage

Qualifications

• 8+ years in analytical solution development in finance or consulting.
• Ability to prioritize and deliver in a fast-paced environment.
• Strong problem-solving and analytical synthesis skills.
• Excellent stakeholder management and leadership.
• Experience with enterprise data ecosystems and cloud platforms.

Responsibilities

• Develop data solutions to support reviews and decision forums.
• Design AI-enabled decision-support to improve governance and execution.
• Build dashboards using visualization and transformation tools for leadership.
• Partner with tech, product, risk and controls for AI reporting with proper controls.
• Define reusable analytics patterns, metrics, and reporting standards.
• Work with stakeholders on requirements for business metrics, data sourcing and publishing.
• Manage multiple initiatives across domains independently.

Skills

Data analytics

Leadership

Stakeholder management

Problem solving

Generative AI

SQL

APIs

Data modeling

Cloud data platforms

Education

Bachelor's degree in a quantitative discipline

Tools

APIs

Job description

JPMorgan Chase & Co. in Jersey City seeks a Vice President to lead the evolution of Infrastructure Platforms' data and decision intelligence.

You will enable faster, more informed decision-making across portfolio management, investment governance and execution by leveraging analytics, automation and AI-enabled solutions. The role focuses on building reusable analytics patterns, scalable reporting, and stakeholder collaboration across technology, risk and controls to ensure responsible AI usage