Stock Markets February 12, 2026

JPMorgan Elevates Guy Halamish to COO Role to Fast-Track AI Across Commercial and Investment Bank

Veteran bank executive to lead data and analytics buildout across markets, global banking, payments and securities services

By Ajmal Hussain
JPMorgan Elevates Guy Halamish to COO Role to Fast-Track AI Across Commercial and Investment Bank

JPMorgan Chase has named Guy Halamish as chief operating officer of its commercial and investment bank, tasking him with speeding the roll-out of artificial-intelligence tools across the division. Halamish will work alongside segment leaders and is charged with creating a dedicated data and analytics leadership layer for markets, global banking, payments and securities services to drive data strategy, governance, platform development and value extraction from firmwide data assets.

Key Points

  • Guy Halamish named COO of JPMorgan's commercial and investment bank to accelerate AI deployment across markets, global banking, payments and securities services.
  • Halamish will appoint chief data and analytics officers for each segment to develop data strategy, ensure data quality and governance, build platforms, and extract value from firmwide data.
  • The bank’s co-heads emphasized the new data and analytics team will play a critical role in the division’s data strategy; the move aligns with industry efforts by financial institutions to implement AI using internal data.

JPMorgan Chase has appointed Guy Halamish to the role of chief operating officer for its commercial and investment bank with a specific mandate to accelerate the deployment of artificial-intelligence tools across that business unit.

Halamish, who has spent more than two decades at the bank, will coordinate directly with the heads of markets, global banking, payments and securities services to ensure AI initiatives move forward across those lines of business. Internal communications reviewed this week identified his primary objective as maximizing the impact of AI within the division.

As part of the execution plan, Halamish will install chief data and analytics officers for each of the business segments he will oversee. That group will be charged with several discrete responsibilities: shaping the bank’s data and analytics strategy, implementing measures to assure data quality and governance, constructing supporting platforms, and extracting value from the organization’s firmwide data assets.

In an internal memo, Doug Petno and Troy Rohrbaugh, the co-heads of the commercial and investment bank, described the new team as a "critical" element of the bank’s broader data strategy, underlining its centrality to the division’s priorities.


Halamish’s appointment consolidates operational leadership with an emphasis on accelerating AI adoption and formalizing data stewardship across multiple operating units. The structure being put in place signals an intent to align segment leadership, centralized data roles and platform work in service of AI-driven initiatives.

While the clear assignment of chiefs of data and analytics for each segment provides an organizational framework for the work ahead, the mandate highlights several practical tasks: ensuring data quality and governance at scale, building the technical platforms that support analytics and AI models, and creating processes to surface value from data assets held across the firm.

The memo from Petno and Rohrbaugh framed the initiative as central to the bank’s data efforts, and positioned Halamish as the operational lead to coordinate implementation across markets, global banking, payments and securities services.

Financial institutions across the industry are actively developing and implementing AI applications while leveraging internal data to pursue potential competitive advantages. JPMorgan’s reorganization and Halamish’s appointment reflect that broader push within the sector to align leadership, data governance and technical platforms in order to move AI projects from experimentation toward scaled deployment.


Because the internal memo and the responsibilities outlined come from the bank’s communications, details available at this time are constrained to the steps described - appointment of a COO for the commercial and investment bank focused on AI integration, creation of chief data and analytics roles per segment, and the specific functional responsibilities assigned to the new team.

Risks

  • Execution risk in implementing AI across multiple business segments - successful deployment depends on coordination between Halamish, segment leaders and the newly appointed data and analytics officers.
  • Dependence on establishing and maintaining data quality and governance - the effectiveness of AI tools will hinge on the team’s ability to ensure reliable, well-governed data.
  • Competitive pressure as financial institutions work to develop and implement AI - the outcome and advantages remain contingent on how effectively firms convert data assets into scalable AI applications.

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