Operations Associate, AI Solutions & Business Enablement

JPMorgan Chase & Co.; Greater London; On-site; GBP 55,000 - 75,000; Full time

Job summary

JPMorgan Chase & Co. in London is seeking an Associate in the Chief Data and Analytics Office to support the day-to-day operations, governance, and business management of LLM Suite, our flagship GenAI application.

You will collaborate with product, engineering, and risk stakeholders to ensure reliable and responsible operation. This role offers the chance to manage multiple workstreams, improve processes, and contribute to governance, controls, and reporting in a fast-moving tech environment

Qualifications

• Bachelor's degree in a relevant field.
• Analytical techniques and tools proficiency.
• Interpersonal and influencing skills across levels.
• Excellent communication and presentation skills; experience with operating models.
• Ability to identify and resolve issues with urgency; strong teamwork.
• Ability to define and drive a delivery roadmap with milestones.
• Flexibility to manage multiple priorities across regions/time zones.

Responsibilities

• Support release coordination activities, tracking milestones, dependencies, approvals, communications, and open risks.
• Support monthly billing processes for LLM Suite, token spend analysis, usage reporting, variance investigation, and follow-ups.
• Assist stakeholder meeting preparation, materials, action item tracking, follow-ups, and status reporting.
• Support responses to inquiries from control, compliance, legal, technology risk, and model risk stakeholders.
• Manage and triage operational intake requests related to LLM Suite, and identify common servicing themes and recommend improvements to reduce repeat issues.
• Support resiliency-related initiatives, including documentation, runbook maintenance, testing coordination, and follow-up tracking.
• Support access troubleshooting, entitlement reviews, and user issue resolution in partnership with relevant internal teams.
• Assist with audit fact-finding, investigation support, and RFI responses.
• Support monitoring and reporting of usage limits, spend caps, capacity needs, and subscription mapping, and assist with use case-level capacity planning, including analysis of demand, consumption trends, and user-level limits.
• Maintain and update application profile records for LLM Suite and related capabilities in internal systems.

Skills

Business management

Operations

Project management

Risk & controls

Tech governance

Product ops

Bachelor's degree

Education

Bachelor's degree

Tools

Python

Alteryx

Tableau

Job description

Are you ready to shape the future of GenAI at JPMorganChase? Join our AI Solutions and Business Enablement team, where your skills and passion will help deliver secure, scalable solutions for over 200,000 employees. You will thrive in a collaborative environment, gain exposure to cutting-edge technology, and enjoy opportunities for career growth and mobility. Your contributions will empower teams across the firm to safely leverage GenAI capabilities and make a real impact.

As an Associate in the Chief Data and Analytics Office, you will support the day-to-day operations, governance, and business management of LLM Suite, our flagship GenAI application. You will work closely with product, engineering, and risk stakeholders to ensure LLM Suite operates reliably and responsibly. This role offers you the chance to manage multiple workstreams, improve processes, and operate in a fast-moving technology environment. You will be part of a team that values innovation, collaboration, and continuous improvement.

Job Responsibilities

• Support release coordination activities, including tracking milestones, dependencies, approvals, communications, and open risks.
• Support monthly billing processes for LLM Suite, including token spend analysis, usage reporting, variance investigation, and stakeholder follow-ups.
• Assist with stakeholder meeting preparation, including materials, action item tracking, follow-ups, and status reporting.
• Support responses to inquiries from control, compliance, legal, technology risk, and model risk stakeholders.
• Manage and triage operational intake requests related to LLM Suite, and identify common servicing themes and recommend improvements to reduce repeat issues.
• Support resiliency-related initiatives, including documentation, runbook maintenance, testing coordination, and follow-up tracking.
• Support access troubleshooting, entitlement reviews, and user issue resolution in partnership with relevant internal teams.
• Assist with audit fact-finding, investigation support, and RFI responses.
• Support monitoring and reporting of usage limits, spend caps, capacity needs, and subscription mapping, and assist with use case-level capacity planning, including analysis of demand, consumption trends, and user-level limits.
• Maintain and update application profile records for LLM Suite and related capabilities in internal systems
  

Required Qualifications, Capabilities, and Skills

• Strong experience in business management, operations, project management, risk and controls, tech governance, product ops, or a related role, with a Bachelor's degree
• Proficiency in analytical techniques and tools
• Strong interpersonal and influencing skills, with the ability to interact with colleagues at all levels and achieve goals without direct control over resources
• Exceptional communication and presentation skills, with experience in designing and delivering target operating models and processes
• Ability to identify and resolve issues with urgency, demonstrating strong teamwork and collaboration skills
• Capability to define and drive a delivery roadmap, including milestone deliveries and status reporting
• Flexibility to manage multiple, changing priorities independently, inspiring collaboration among diverse teams across regions and time zones.
  

Preferred Qualifications, Capabilities, and Skills

• Familiarity with LLMs, AI/ML, and technology management processes, or experience with innovative technologies such as AI, Cloud services, and Digital Products.
• Experience with Python, Alteryx, Tableau, or similar
• Degree in a STEM field preferred.