VP, AI Analytics Portfolio Strategy

Testing Site - JPMC; Greater London; Sur place; GBP 150 000 - 230 000; Plein temps

Résumé du poste

J.P. Morgan's Chief Analytics Office (CAO) seeks a senior leader to drive the analytics agenda across Markets Trading, Sales & Research, Payments, Securities Services and Global Banking. You will accelerate AI adoption, set GenAI strategy around LLMs, and scale AI solutions across lines of business.

The role requires strong strategic and analytical skills, proficiency in Python, Tableau and Alteryx, and the ability to collaborate with diverse stakeholders to deliver high-impact AI initiatives.

Qualifications

• Strategic, curious mindset and willingness to challenge the status quo.
• Outstanding ability to analyze problems using quantitative methods.
• Proficiency in Python, data visualization (Tableau) and analytics tools (Alteryx).
• Able to lead across diverse partner groups, managing multiple deliverables under pressure.

Responsabilités

• Perform end-to-end analytics portfolio management for the CIB CAO, aligning with strategic AI priorities.
• Develop interactive dashboards and visualizations to communicate insights to senior stakeholders.
• Identify opportunities for reuse, scalability, and continuous improvement across the analytics portfolio.
• Partner with stakeholders to set objectives, allocate resources, and prioritise analytics initiatives.
• Design automated processes ensuring data integrity and real-time visibility.
• Manage analytics projects from ideation to prioritisation using quantitative frameworks.

Connaissances

Strategic mindset

Quantitative analysis

Strong communication

Deliver under pressure

Outils

Python

Tableau

Alteryx

Description du poste

J.P. Morgan's Chief Analytics Office (CAO) seeks a senior leader to drive the analytics agenda across Markets Trading, Sales & Research, Payments, Securities Services and Global Banking. You will accelerate AI adoption, set GenAI strategy around LLMs, and scale AI solutions across lines of business.

The role requires strong strategic and analytical skills, proficiency in Python, Tableau and Alteryx, and the ability to collaborate with diverse stakeholders to deliver high-impact AI initiatives.