Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Lead AI adoption across EMEA, turning tech into measurable business value.
- Company: Join a dynamic team at the forefront of AI innovation.
- Benefits: Competitive salary, strategic exposure, and opportunities for professional growth.
- Why this job: Shape AI strategy and make a real impact in a high-visibility role.
- Qualifications: 6-8 years in tech/business roles; strong stakeholder management skills.
- Other info: Exciting chance to work with executive leadership and cutting-edge technology.
The predicted salary is between 70000 - 90000 ÂŁ per year.
This is an opportunity to play a pivotal role in accelerating and structuring AI adoption across the region. It is a strategic and hands‑on enablement position at the intersection of business, technology, and change. 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 in close partnership with the regional PMO and report jointly to the Regional CEO and Head of the AI CoE. The role is based in London, with occasional travel to Tradition’s headquarters in Switzerland and other EMEA offices.
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 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.
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 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 organisation 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 a structured technical brief for data scientists, and communicate technical constraints clearly to non‑technical stakeholders.
- Pragmatism: Focuses execution on usable, scalable outcomes.
- 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 recognised 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 programme 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.
Regional AI Adoption Lead (EMEA) employer: Tradition
Contact Detail:
Tradition Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Regional AI Adoption Lead (EMEA)
✨Tip Number 1
Network like a pro! Get out there and connect with people in the AI space. Attend industry events, webinars, or even local meetups. The more you engage, the better your chances of landing that dream role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your past projects or case studies related to AI adoption. This will not only demonstrate your expertise but also give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Be an AI ambassador! Share your insights and knowledge on social media or professional platforms like LinkedIn. Engaging with the community can help you stand out and attract attention from recruiters looking for someone just like you.
✨Tip Number 4
Apply through our website! We love seeing candidates who are genuinely interested in joining us. Tailor your application to highlight how your experience aligns with our mission of turning AI into measurable business value.
We think you need these skills to ace Regional AI Adoption Lead (EMEA)
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter to highlight your experience in AI adoption and stakeholder management. We want to see how your background aligns with the role of Regional AI Adoption Lead, so don’t hold back on showcasing relevant projects!
Showcase Your Soft Skills: This role is all about bridging gaps and fostering collaboration. Be sure to emphasise your communication skills and ability to translate technical jargon into business language. We love candidates who can engage with both techies and non-techies alike!
Highlight Your Training Experience: Since you'll be designing and delivering training sessions, it’s crucial to mention any past experiences you have in this area. We’re looking for someone who can make complex concepts accessible, so share examples of how you've done this before.
Apply Through Our Website: We encourage you to submit your application through our website. It’s the best way for us to keep track of your application and ensure it gets the attention it deserves. Plus, it shows you’re keen to join our team at StudySmarter!
How to prepare for a job interview at Tradition
✨Know Your AI Stuff
Make sure you brush up on your understanding of machine learning and generative AI. Be ready to discuss how these technologies can solve real business problems, as you'll need to translate complex concepts into actionable insights for non-technical stakeholders.
✨Showcase Your Stakeholder Skills
Prepare examples that highlight your experience in engaging with diverse stakeholders, from C-suite executives to operational teams. Think about how you've successfully navigated dual reporting lines or matrix structures in the past, as this will be crucial for the role.
✨Demonstrate Change Management Experience
Be ready to share specific instances where you've led technology adoption and cultural change within an organisation. Highlight your strategies for building trust and ensuring sustained usage of new tools, as this is a key part of the job.
✨Engage with Training and Community Building
Think about your past experiences designing and delivering training sessions for non-technical audiences. Be prepared to discuss how you've animated communities of practice or user groups, as fostering grassroots adoption will be a big part of your role.