Regional AI Adoption Lead in London

Tradition is the interdealer broking arm of Compagnie Financière Tradition and one of the world's largest interdealer brokers in over-the-counter financial and commodity related products. CFT is represented in over 28 countries, employing over 2,500 people. Tradition’s goal is to provide superior client services. It believes its business success is a direct reflection of its employees and recruits. As such, teamwork, creativity, reliability and integrity are components of a work ethic taken very seriously since the company was founded in 1959.

Main responsibilities within the Regional AI Adoption Lead position include:

• AI use case identification and structuring: Partner with regional leadership and their teams to identify high-impact AI opportunities. Translate business challenges into structured project briefs (scope, data needs, KPIs). Ensure use cases are sufficiently mature and viable before submission to the CoE.
• Adoption and change management: Lead the regional rollout of bespoke AI solutions and general productivity tools. Develop and execute strategies to build trust, and ensure sustained usage across teams. Act as a visible AI ambassador within the region.
• Training and community animation: Design and deliver training sessions for non-technical audiences. Develop practical learning pathways (workshop, playbooks). Identify and coordinate a network of regional AI Champions to support grassroots adoption. Animate an active community of practice around AI usage.
• Feedback and prioritisation: Collect feedback from users and stakeholders. Surface regional needs, and help prioritise feature requests and new use cases within the global roadmap.
• Tech intelligence: In conjunction with the CoE, share relevant developments in AI with regional stakeholders and help teams identify where new capabilities could apply to their workflows.
• PMO partnership: Collaborate closely with the Regional PMO to ensure AI projects are aligned with regional timelines, budgets, and governance. The PMO provides operational rigour; the Regional AI Adoption Lead provides technical relevance, feasibility assessment, and user trust.

Key skills, experience and competencies required to be successful in this role:

• Background: Proven experience in one or more of the following: product management in a data/AI context, technical project management, business analysis within engineering-driven organisations, or a data science / ML engineering role that evolved toward stakeholder management. International exposure and cross-cultural experience within EMEA environments are highly valued.
• Technical understanding (non-coding role): Machine learning foundations (high level understanding of production deployment, large language models & generative AI (architecture, strength, and limitations of LLMs, awareness of evolving GenAI ecosystem), Data & Infrastructure (understanding of governance, compliance, and regulated data environments, enterprise data landscapes).
• Demonstrated experience in leading technology adoption: Hands-on experience in driving sustained workflow transformation and cultural change within an organization is a key requirement.
• Training for enablement: Experience designing and delivering training to non-technical audiences. The ideal candidate is patient, engaging, and genuinely enjoys helping others become autonomous. Past experience in animating communities of practice or user groups is a strong plus.
• Stakeholder management: Experience engaging with a wide range of stakeholders, from C-suite executives to operational teams across functions. Comfort with dual reporting lines or matrix structures is essential.

Tradition welcome all suitable applications and are an equal opportunity employer who value diversity. All employment is decided on the basis of qualifications and merit.