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Tradition is a leading international institutionalbrokerage group with over 2,500 professionals in more than 30 countries.  Our customers are the world’s largest trading participants in financial and commodity‐related markets, such as global and regional investment and commercial banks, hedge funds and energy trading companies.  

 

Regional AI Adoption Lead, Americas

 

This is an opportunity to play a pivotal role in accelerating and structuring AI adoption across the Americas region. You will act as the bridge between our Global AI Centre of Excellence (CoE) and regional business functions, ensuring that AI initiatives are relevant, feasible, adopted, and impactful. Your mission: turn AI into measurable business value. 

You will work closely with the management team and report jointly to the Regional CEO and the Head of the AI CoE.  The role is based in New York, with occasional domestic and international travel within the region and to Tradition’s headquarters in Switzerland.

 

 

Your role:

 

  • 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 prioritization: Collect feedback from users and stakeholders. identify regional needs, and help prioritize 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.

 

 

Your profile

 

  • Experience: 6–8 years of professional experience in a role combining business-exposure and technical proximity
  • 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 organizations, or a data science / ML engineering role that evolved toward stakeholder management. International exposure and cross-cultural experience within AMER 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.

 

Soft Skills

  • Translation ability: Ability to convert a business pain point into structured technical brief for data scientists, and communicate technical constraints clearly to non-technical stakeholders
  • Pragmatism: Focuses execution on usable, scalable outcomes
  • Diplomacy: manages expectations constructively
  • Intellectual curiosity: Passionate about AI impact and business implications
  • Team orientation: Thrives in a model where priorities are set jointly with the CoE and regional needs are advocated for within a global framework. Sees amplifying the central team’s impact as the mission

 

Academic Background

  • Master’s degree from a recognized institution in a STEM field or hybrid  STEM-business (e.g., Management Information Systems, Industrial Engineering, Data Science, Economics with a quantitative focus).
  • MBA or Executive education program is a plus.

 

Why Join Us?

 

  • A newly created position in a stimulating entrepreneurial group.
  • Shape AI strategy and adoption across an entire region.
  • Operate at the intersection of executive leadership and cutting-edge technology.
  • Influence global AI priorities while driving tangible local impact.
  • Work in a high-visibility role with strong strategic exposure.

 

 

All applications will be handled in the strictest confidence.  We will not accept any CVs via agencies.