JPMorgan Asset Management - LLM Platform Strategist Executive Director 

United States, New York, New York 

127273570

Job responsibilities:

• Work collaboratively with cross-functional teams (e.g. technologists/engineers, product owners, data scientists/quants, business stakeholders) to ensure the successful development and implementation of an Asset Management-wide LLM platform in alignment with the business’ overarching AI strategy and objectives
• Manage multiple stakeholders, ensuring their needs are addressed, expectations are managed, and inputs are incorporated into the development of the LLM platform and related capabilities
• Create and maintain a platform roadmap to incorporate longer-term needs into the development process and provide transparency to stakeholders on delivery timelines
• Engage with engineers to understand their technical requirements for the LLM platform and ensure these requirements are incorporated into the backlog
• Maintain a governance structure to align the backlog with business priorities, ensuring that the LLM platform supports the overall strategic goals of the business
• Communicate regularly with stakeholders regarding progress, ensuring they are kept informed of status and any issues or challenges that arise
• Partner with fellow AI Strategists on the refinement of AM’s AI strategy to meet business needs and an evolving AI landscape
• Continuously seek ways to improve the development process and the LLM platform itself

Required qualifications, capabilities and skills:

• Proven track record in delivering a successful platform(s) in alignment with a broader strategy
• Strong leadership and stakeholder management abilities with success managing multiple stakeholders
• Experience working with data scientists/quants and engineers
• Experience in systems design for data-centric applications (e.g., prioritized and defined requirements for a scalable data pipeline for real-time analytics)
• Knowledge of data architectures and cloud technologies (e.g., set product vision for implementing a data lake on AWS for centralized data storage)
• Familiarity with RAG patterns and data privacy regulations (e.g., incorporated RAG based solutions into product features, ensured product compliance with GDPR)
• Proficiency in modern development practices (e.g., defined user stories and acceptance criteria for Agile development teams)

Preferred qualifications, capabilities and skills:

• Strong ability to problem-solve and think strategically, including the ability to identify root causes of issues and recommend solutions is preferred
• Entrepreneurial mindset; demonstrated ability to identify new opportunities for clients/stakeholders and/or process improvements and run with them
• Understanding of the modern AI landscape is preferred
• Understanding of the Asset Management industry is preferred
• Problem structuring and solving experience within a complex corporation is preferred
• Prior experience in a technical role is advantageous
• Excellent communication skills (both verbal and written) and the ability to present findings to a non-technical audience, advocate for initiatives and secure stakeholder support is highly preferred