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- 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, career growth, and the chance to shape AI strategy.
- Why this job: Make a real impact by bridging business and technology in AI.
- Qualifications: 6-8 years in tech/business roles; strong stakeholder management skills.
- Other info: Exciting opportunity for those passionate about AI and transformation.
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 handsâon 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 highâimpact 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 nonâtechnical 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: 6â8 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 engineeringâdriven organisations, or a data science/ML engineering role that evolved toward stakeholder management. International exposure and crossâcultural experience within EMEA environments are highly valued.
- Technical understanding (nonâcoding role): Machine learning foundations (highâlevel 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: Handsâon 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 nonâtechnical 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 Câsuite 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 nonâtechnical 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 STEMâbusiness (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 cuttingâedge technology.
- Influence global AI priorities while driving tangible local impact.
- Work in a highâvisibility role with strong strategic exposure.
Regional AI Adoption Lead (EMEA) in London employer: Tradition
Contact Detail:
Tradition Recruiting Team
StudySmarter Expert Advice đ¤Ť
We think this is how you could land Regional AI Adoption Lead (EMEA) in London
â¨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.
â¨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI projects or any relevant work you've done. This is your chance to demonstrate how you can turn AI into measurable business value, just like the role requires.
â¨Tip Number 3
Be an AI ambassador! Share your insights on social media or write articles about AI adoption strategies. This not only builds your personal brand but also shows potential employers that you're passionate about the field.
â¨Tip Number 4
Apply through our website! We love seeing candidates who are genuinely interested in joining us. Tailor your application to highlight your experience in driving technology adoption and stakeholder management, and letâs make AI happen together!
We think you need these skills to ace Regional AI Adoption Lead (EMEA) in London
Some tips for your application đŤĄ
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 donât hold back on showcasing relevant projects!
Showcase Your Technical Understanding: Even though this is a non-coding role, itâs crucial to demonstrate your grasp of machine learning concepts and data governance. Weâre looking for someone who can bridge the gap between technical teams and business functions, so let us know how youâve done this in the past.
Highlight Your Training Experience: Since training non-technical audiences is a big part of this role, share examples of how you've designed and delivered training sessions before. We love seeing candidates who are passionate about enabling others and fostering community engagement around AI.
Apply Through Our Website: We encourage you to submit your application through our website. Itâs the best way for us to keep track of your application and ensure it gets the attention it deserves. Plus, it shows youâre keen to join our team at StudySmarter!
How to prepare for a job interview at Tradition
â¨Know Your AI Stuff
Make sure you brush up on your understanding of AI concepts, especially those relevant to the role. Be ready to discuss how you've applied AI in past projects and how it can create business value. This will show that you're not just familiar with the tech but can also translate it into real-world applications.
â¨Showcase Your Stakeholder Skills
Prepare examples of how you've engaged with various stakeholders, from C-suite executives to operational teams. Highlight your experience in managing dual reporting lines or matrix structures, as this is crucial for the role. Being able to communicate effectively across different levels will set you apart.
â¨Demonstrate Change Management Experience
Be ready to share specific instances where you've led technology adoption or cultural change within an organisation. Discuss the strategies you used to build trust and ensure sustained usage of new tools. This will illustrate your hands-on experience and ability to drive transformation.
â¨Engage with Training and Community Building
Talk about your experience designing and delivering training sessions for non-technical audiences. If you've animated communities of practice or user groups, mention that too! Showing your passion for helping others become autonomous will resonate well with the interviewers.