JPMorgan Lead Program Manager - Post Trade Technology Derivatives E2E 

United Kingdom, England, London 

715916175

Job responsibilities

• Lead the creation and implementation of a strategic roadmap for allocation transformation, ensuring alignment with the firm's long-term goals and objectives.
• Conduct thorough analysis of current allocation processes and identify areas for improvement and innovation.
• Develop metrics and KPIs to measure the success of transformation initiatives and report progress to senior leadership.
• Drive the design and development of data products that enhance allocation processes and provide actionable insights to stakeholders.
• Collaborate with data engineering and analytics teams to build scalable and robust data solutions that support business needs.
• Define data product requirements, including data sources, integration points, and user interfaces, ensuring they align with strategic objectives.
• Apply deep knowledge of finance, P&A, and allocations to guide strategic decisions and ensure alignment with industry best practices.
• Provide expert advice on financial modeling, budgeting, and forecasting to support allocation strategy.
• Lead pilot projects to test new technologies and methodologies, evaluating their potential impact on the firm.

Required qualifications, capabilities, and skills

• Significant experience in software engineering and delivery experience
• Experience in leading transformation projects and managing change within an organization
• Experience developing or leading large or cross-functional teams of technologists
• Demonstrated prior experience influencing across highly matrixed, complex organizations and delivering value at scale
• Experience leading complex projects supporting system design, testing, and operational stability
• Experience with hiring, developing, and recognizing talent
• Extensive practical cloud native experience
• Expertise in Computer Science, Computer Engineering, Mathematics, or a related technical field

Preferred qualifications, capabilities, and skills

• Strong understanding of data engineering principles and practices.
• Demonstrated ability to influence stakeholders and drive strategic initiatives.