J.P. Morgan is seeking a talented candidate for the Commercial & Investment Bank (CIB) Chief Data & Analytics Office (CDAO). The GenAI Strategy & Enablement team is responsible for driving the adoption of LLMs and GenAI across the CIB (e.g. Markets, Banking, Payments, Securities Services).

As a GenAI Strategy & Enablement Associate in the Commercial & Investment Bank (CIB) Chief Data & Analytics Office (CDAO), you will play a pivotal role in driving the CIB’s GenAI agenda, in particular around Large Language Models (LLMs) and Agents. In partnership with business and technical stakeholders, the team helps maximize the impact of GenAI for the CIB, including leading the CIB rollout of LLM Suite and driving adoption of the tool, as well as identifying and accelerating the most impactful LLM Use Cases.

Job responsibilities:

Drive the adoption of GenAI across the CIB through best practices, prompt training and knowledge sharing Develop technical expertise in AI&ML and become an SME on LLMs and Agents, in order to identify business problems that can be solved with this technology  Define and deconstruct complex problems through strategic business deep dives and develop communication skills by providing synthesized analysis to the CIB Chief Analytics Officer and In-Business Chief Data Analytics Officers across sub-LOBs Identify priority GenAI use cases for the CIB and drive execution of CIB CDAO’s top strategic initiatives, as well as working closely with Firmwide AI stakeholders Recognize emerging trends in GenAI ahead of broader market adoption and monitor competitor approaches and latest product releases as the AI market evolves

Required qualifications, capabilities, and skills:

Diverse problem solving experience, with 2+ years’ work experience in strategy role preferred (top management consultancy or internal strategy); other similar fields also considered, including investment banking, private equity, etc.   BSc or MSc degree in relevant STEM field preferred but not required (e.g. Data Science, Computer Science) Knowledge and understanding of GenAI and emerging technologies preferred, though curiosity in the subject enough given the fast evolving space An outstanding ability to analyze problems and apply quantitative analytical approaches Ability to quickly assimilate new topics/information and synthesize with excellent attention to detail Proficiency in MS Excel and PowerPoint  Knowledge of Python, orchestration frameworks (e.g. LangGraph) and visualization tools (e.g. Tableau) preferred but not required