JPMorgan has appointed Guy Halamish as COO of its commercial and investment bank to embed artificial intelligence and data strategy at the heart of its operations, signalling a major acceleration of its AI transformation.
JPMorgan Chase has appointed Guy Halamish as Chief Operating Officer of its commercial and investment bank, handing him responsibility for steering the division’s data and artificial intelligence strategy as part of a significant organisational overhaul. The move was confirmed in an internal memorandum signed by CIB co-heads Doug Petno and Troy Rohrbaugh, signalling a decisive shift in how the bank intends to embed AI into its core operations.
Halamish, a more than two-decade veteran of the firm, steps into a role that departs markedly from the traditional COO brief of streamlining processes and managing costs. Instead, he has been charged with maximising the impact of AI and harnessing the bank’s extensive data assets across a division that generated roughly half of JPMorgan’s net income last year. He will work closely with the heads of the CIB’s four principal businesses to ensure data, analytics and AI initiatives are integrated directly into day-to-day commercial activity.
Central to the reorganisation is the introduction of a new data operating model. Each of the major CIB businesses, spanning global banking, markets, payments and securities services, will appoint its own chief data and analytics officer. These executives will report jointly to Halamish and their respective business heads in a dual-reporting structure designed to prevent AI initiatives from being isolated within a standalone technology function. The model aims to ensure that strategy remains closely aligned with operational realities while promoting consistent standards across the division.
These leaders will oversee the full lifecycle of data and AI within their segments, from improving data quality and governance to building shared platforms and delivering production-ready use cases. The bank has already strengthened its bench by hiring Zachery Anderson from NatWest as chief data and analytics officer for the payments division, underscoring its determination to attract experienced talent capable of pushing the boundaries of applied AI in financial services.
The newly formed team has been tasked with a broad and ambitious agenda. It will define and execute the division’s overarching data and analytics strategy, enhance governance frameworks, and develop platforms that unlock value from the bank’s vast data reserves. Preparing infrastructure for more advanced AI capabilities and the expanded use of AI agents is also a priority, reflecting JPMorgan’s belief that automation and intelligent systems will become embedded across its operations.
Early transformation efforts are expected to focus on credit processing and client onboarding, areas where AI has the potential to reduce friction, shorten turnaround times and improve accuracy. By targeting such high-impact workflows, the bank is seeking to demonstrate tangible operational gains rather than confining AI to experimental or peripheral projects.
The restructuring builds on groundwork laid under Teresa Heitsenrether, JPMorgan’s Chief Data & Analytics Officer, whose team has been expanding since 2023 as part of a broader modernisation drive. Halamish’s appointment adds an operational layer intended to accelerate execution and strengthen coordination across business lines, reflecting a growing urgency to convert strategic ambition into measurable results.
The commercial and investment bank is a critical profit engine for JPMorgan, generating 25 billion dollars in net income out of the firm’s total 58.5 billion dollars in 2024, according to its annual report. With the group allocating 18 billion dollars to technology spending in 2025, the stakes surrounding AI deployment are particularly high, both in terms of performance and competitive positioning on Wall Street.
One of the most visible outcomes of the bank’s AI investment to date has been its proprietary generative AI platform, LLM Suite. Launched in 2024, the system reached 200,000 onboarded users within eight months, driven largely by internal demand and what executives have described as a culture of healthy competition that encouraged rapid uptake. The platform functions as a research assistant capable of providing information, solutions and analytical support across topics, while acting as an abstraction layer that allows large language models such as GPT-4 to be swapped in and out without locking the bank into a single provider. Employees across legal, banking, payments and asset management teams use the tool for tasks ranging from contract analysis and document summarisation to content generation and idea development.
With Halamish now responsible for scaling this infrastructure further across the commercial and investment bank, LLM Suite is expected to evolve from a productivity enhancer into a more deeply embedded operational system supporting some of the institution’s most complex and high-value activities. Chief executive Jamie Dimon has been outspoken in defending the bank’s heavy technology spending, insisting that JPMorgan intends to remain at the forefront of innovation even as rivals race to deploy similar capabilities.
