Lead GenAI & Data Platforms Program Manager

JPMorgan Chase; Greater London; On-site; GBP 120,000 - 180,000; Full time

Job summary

J.P. Morgan is seeking a Lead Technical Program Manager in Corporate Technology, AI/ML Data Platforms, to drive the delivery of complex technology programs and align initiatives with business goals across the firm.

You will lead cross-functional teams, manage budgets, and navigate ambiguity with analytical rigor to shape GenAI initiatives and risk management while communicating effectively with stakeholders.

Qualifications

• 5+ years of experience leading complex technology programs in a large organization.
• Advanced expertise in stakeholder management and cross-functional influence.
• Experience with vendor relations and enabling on-demand access to shared apps/services.
• Agile delivery mindset with JIRA, SQL/JQL, and CI/CD pipelines.
• Proven track record managing resources, budgets, and high-performing teams.
• Analytical problem-solving to translate objectives into actionable work.

Responsibilities

• Develops and executes comprehensive project plans with timelines and resources.
• Identifies and mitigates risks, ensuring momentum and contingency plans.
• Collaborates with engineering, product, and business stakeholders to define scope and deliverables.
• Uses data-driven analysis to improve program performance and efficiency.
• Leads GenAI initiatives with cross-functional stakeholders across products and lines of business.
• Synthesizes findings into clear business cases and action plans.
• Improves organizational structure and operational practices.

Skills

Technical program management

Stakeholder management

Vendor management

Analytical reasoning

Leadership

Tools

JIRA

SQL

CI/CD

Job description

J.P. Morgan is seeking a Lead Technical Program Manager in Corporate Technology, AI/ML Data Platforms, to drive the delivery of complex technology programs and align initiatives with business goals across the firm.

You will lead cross-functional teams, manage budgets, and navigate ambiguity with analytical rigor to shape GenAI initiatives and risk management while communicating effectively with stakeholders.