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- Tasks: Lead the AI function, driving strategy and adoption across a global enterprise.
- Company: Join a leading Scottish organisation at the forefront of AI innovation.
- Benefits: Enjoy hybrid working, competitive salary, bonuses, and a car allowance.
- Why this job: Shape the future of AI while making a tangible impact on business growth.
- Qualifications: Proven AI leadership experience with strong commercial acumen required.
- Other info: This is a unique opportunity to build an AI team from the ground up.
The predicted salary is between 43200 - 72000 £ per year.
Location: Glasgow, Other UK locations will be considered.
Full-time | Hybrid Working Available
Competitive Senior Level Salary + Bonus + Car Allowance + Benefits
MBN have partnered exclusively with a leading Scottish based organisation in search for a Head of Artificial Intelligence to join their established team. The Head of Artificial Intelligence will unlock the full potential of artificial intelligence across a global enterprise. This is a rare opportunity to shape and lead an AI function from the ground up — driving tangible value, accelerating business growth, and embedding AI into the core of how people work.
What You’ll Be Responsible For:- Define and execute an enterprise-wide AI strategy focused on commercial impact, adoption, and responsible innovation.
- Partner with executive leadership and regional business heads to identify and prioritise high-impact AI opportunities.
- Champion AI adoption through awareness, training, and up skilling initiatives across diverse global teams.
- Collaborate closely with IT, Data Science, Architecture, and InfoSec to build scalable, compliant, enterprise-grade AI solutions.
- Advise C-suite leaders on the value, risks, and ethical implications of AI technologies.
- Build and lead a high-performing AI team, establishing the delivery model and capabilities required to scale success.
- Quantifiable business value delivered via AI initiatives.
- Growth in AI literacy and solution adoption across the organisation.
- Deployment of a robust AI risk and ethics framework.
- A well-prioritised roadmap of AI opportunities with strong business sponsorship.
- A delivery-oriented leader with a track record of using AI to drive real business value in global, complex environments.
- Deep subject matter expertise in AI, with the ability to translate innovation into impact.
- Strong commercial acumen and experience aligning AI initiatives with business strategy.
- A strategic thinker who thrives in dynamic, fast-moving contexts.
- Proven leadership skills, able to influence, inspire, and execute across multiple stakeholder groups and geographies.
Head of Artificial Intelligence employer: MBN Solutions
Contact Detail:
MBN Solutions Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Head of Artificial Intelligence
✨Tip Number 1
Network with professionals in the AI field, especially those who have experience in leadership roles. Attend industry conferences, webinars, and local meetups to connect with potential colleagues and mentors who can provide insights into the role and the company.
✨Tip Number 2
Stay updated on the latest trends and advancements in artificial intelligence. Familiarise yourself with case studies that demonstrate successful AI implementations in businesses similar to the one you're applying to, as this knowledge will help you speak confidently about your vision for their AI strategy.
✨Tip Number 3
Prepare to discuss your leadership style and how you've successfully built and managed teams in the past. Be ready to share specific examples of how you've driven AI initiatives that resulted in measurable business value, as this will showcase your ability to align AI with business strategy.
✨Tip Number 4
Research the company's current AI initiatives and challenges. Understanding their existing landscape will allow you to propose tailored solutions and demonstrate your strategic thinking during discussions, making you a more attractive candidate for the role.
We think you need these skills to ace Head of Artificial Intelligence
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in AI and leadership roles. Focus on specific projects where you've driven business value through AI, and quantify your achievements to demonstrate impact.
Craft a Compelling Cover Letter: In your cover letter, express your passion for AI and how it aligns with the company's goals. Discuss your strategic vision for AI implementation and how you plan to lead a high-performing team.
Showcase Relevant Skills: Emphasise your deep subject matter expertise in AI and your ability to translate complex concepts into actionable strategies. Highlight your commercial acumen and experience in aligning AI initiatives with business objectives.
Prepare for Interviews: Anticipate questions about your leadership style and how you would approach building an AI function from the ground up. Be ready to discuss ethical implications of AI and how you would advise C-suite leaders on these matters.
How to prepare for a job interview at MBN Solutions
✨Showcase Your AI Expertise
Be prepared to discuss your deep subject matter expertise in AI. Highlight specific projects where you've successfully implemented AI solutions that drove business value, and be ready to explain the impact of those initiatives.
✨Demonstrate Strategic Thinking
As a strategic thinker, you should articulate how you align AI initiatives with broader business strategies. Prepare examples of how you've identified high-impact AI opportunities and prioritised them effectively in previous roles.
✨Emphasise Leadership Skills
Since this role involves building and leading a high-performing AI team, be sure to share your leadership experiences. Discuss how you've influenced and inspired teams across diverse stakeholder groups and geographies.
✨Prepare for Ethical Discussions
Given the importance of ethical implications in AI, be ready to discuss your approach to AI risk management and ethics. Share your thoughts on how to implement a robust AI risk and ethics framework within an organisation.
