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AI SME

Groupe Crédit Agricole

Groupe Crédit Agricole

Software Engineering, Data Science
New York, NY, USA
Posted on Jul 29, 2025

Job description

Summary

This position has been established to support CA-CIB Americas in developing and driving the innovation and AI portfolio.

The AI SME will be tasked with defining and executing the AI Americas strategy, which includes establishing effective governance with the AI factory team based in Paris, Headquarters.

Locally, the AI SME will be responsible for fostering strong collaborations with executive leadership across the Bank to identify AI opportunities. Additionally, they will work closely with various teams to achieve business goals and enhance client experiences.

The ideal candidate will drive the implementation of AI solutions, ensuring the Bank adheres to best-in-class delivery approaches for safe and scalable methods.

This role requires a solid understanding of the banking sector, expertise in AI/ML technologies, and the ability to integrate AI into banking processes effectively. The candidate must also be able to influence stakeholders while prioritizing and executing strategic initiatives successfully.

The AI SME will act as a leading authority on AI within CA-CIB Americas and report directly to the Americas Chief Information Officer/Head of Global IT (GIT) and functionally to the Head of the AI factory in Head office.

Key Responsibilities
• Serve as a key representative of the AI Factory, promoting and implementing AI solutions and culture throughout CA-CIB Americas

• Cultivate strong relationships with local C-suite executives to align AI strategies with broader organizational objectives, ensuring support and advocacy for AI initiatives

• Communicate local requirements and insights to the head office and the AI Factory, and generate relevant use cases

• Oversee local AI governance and reporting to ensure compliance and transparency in AI usage across Americas operations

• Build and manage the local portfolio of AI use cases in collaboration with business and IT teams, ensuring alignment with local needs

• Manage the “New Service & Usage” process related to AI solutions in collaboration with local support functions (Risk, Compliance, Legal, IT Security…).

• Develop a comprehensive training plan: identifying target audiences, training requirements, and priority areas.

• Establish the practice as a thought leader in the AI space through active industry participation, publications, and advocacy for ethical AI practices.

• Stay abreast of local AI market trends, including competitor activities and innovation, and provide regular insights to inform strategic decisions.

Communication
Key Internal Contacts

· Regional and local management,

· Central AI factory and GIT IT lines.

· Control functions in particular RPC, CPL, LGL and ISS, COO Office.

· Business lines

Key External Contacts

Local innovative and AI ecosystem.