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For Companies At a Glance
- Tasks: Lead AI transformation for mid-market companies, embedding AI across operations and decision-making.
- Company: Join a forward-thinking network focused on AI-driven business evolution.
- Benefits: Flexible fractional role with diverse client engagements and impactful work.
- Other info: Ideal for adaptable leaders ready to make a significant impact in the AI landscape.
- Why this job: Shape the future of businesses by guiding them through AI adoption and innovation.
- Qualifications: 10-20+ years in AI, data, or digital transformation with strong leadership skills.
The predicted salary is between 72000 - 108000 £ per year.
Head of AI is seeking exceptional leaders to join our network of fractional Heads of AI. Our mission is to help mid-market companies (£20m–£500m turnover) evolve into AI-enabled organisations – embedding AI strategically across their operations, products, and decision-making. We are looking for individuals who combine deep technical fluency with board-level leadership, capable of guiding organisations as they adopt and scale the new era of generative and agentic AI.
We recognise that few professionals have completed a full AI transformation. Therefore, we seek leaders with proven experience in digital, data, or business transformation who are now applying that expertise to AI-led change. You understand how to translate ambition into action — guiding organisations through the cultural, operational, and governance shifts needed to unlock AI's potential.
What We Are Looking For:
- AI-Driven Business Transformation Leaders: Proven experience leading complex transformation programmes where technology, data, and innovation reshaped business performance. Able to apply that experience to the generative AI era — guiding organisations through the shifts required to become AI-enabled businesses. Can connect earlier digital or automation expertise with today's agentic and generative AI capabilities.
- Deep Technical Fluency: Fluent in modern AI ecosystems including generative AI, agentic systems, AI copilots, and orchestration frameworks (e.g. LangChain, AutoGen, CrewAI). Understands how to combine traditional ML and analytics with emerging AI architectures to deliver measurable commercial value. Evolved beyond a purely data science or analytics focus — can bridge data foundations with GenAI strategy, agentic systems, and organisational enablement. Can lead technical reviews and guide delivery teams even if not coding daily.
- C-Suite and Board-Level Communicators: Able to simplify complex AI topics for executives and align AI investments to business strategy. Confident advising CEOs, CTOs, and Boards on strategic implications, risk, and ROI.
- Change Leaders: Strong stakeholder engagement and ability to drive adoption. Skilled in mentoring internal teams, developing AI literacy, and ensuring responsible AI practice. Understands human-in-the-loop design and the organisational shifts required for AI success.
- Entrepreneurial Mindset: Thrives in ambiguity and fast-paced environments. Curious about new AI tooling and pragmatic about implementation. Focused on delivering measurable client outcomes through experimentation and iteration.
What we are not Looking For:
- Legacy executives (e.g. ex-CTO/CDO/CIO) without hands-on AI or GenAI understanding.
- Academic or research-focused professionals without applied business outcomes.
- Technologists who lack leadership or transformation delivery experience.
- Consultants who only advise but have not led execution or implementation teams.
- Corporate-only leaders reliant on large structures to operate effectively.
Desired Profile Summary
The ideal candidate will serve as a Fractional Head of AI / AI-Driven Transformation Leader, focused on helping mid-market organisations (£20m–£500m turnover) design and execute end-to-end AI strategies, roadmaps, execution plans, and governance frameworks. They will bring 10–20+ years of experience across AI, data, digital, or product innovation, demonstrating a proven ability to translate technology into measurable business outcomes.
They are experienced AI, digital, or data transformation leaders — such as former Heads of Data Science, CAIOs, or AI Strategy Leads — who have evolved beyond model development into organisational change and value delivery. Candidates with a data science foundation are welcome, provided they exhibit fluency in modern AI technologies (LLMs, copilots, orchestration frameworks) and possess strategic influence at the executive level.
They embody an entrepreneurial, adaptable, outcome-oriented, and collaborative mindset, thriving in fractional engagements typically spanning 1–5 days per week across multiple clients. We welcome applications from professionals who have led significant transformation initiatives and are ready to bring that expertise into the AI era. If you are passionate about helping businesses harness AI responsibly and at scale, we'd love to hear from you.
Fractional Head of AI - Recruitment Sector in Hull employer: Head of AI
Contact Detail:
Head of AI Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Fractional Head of AI - Recruitment Sector in Hull
✨Tip Number 1
Network like a pro! Get out there and connect with industry leaders, attend AI conferences, and join relevant online forums. The more people you know in the recruitment sector, the better your chances of landing that fractional Head of AI role.
✨Tip Number 2
Showcase your expertise! Create a portfolio or a personal website where you can highlight your past transformation projects and AI initiatives. This will give potential employers a clear view of what you bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your communication skills. Practice explaining complex AI concepts in simple terms, as you'll need to engage with C-suite executives who may not have a technical background.
✨Tip Number 4
Don't forget to apply through our website! We’re always on the lookout for exceptional talent, and applying directly can give you an edge. Plus, it shows you're genuinely interested in joining our mission to help businesses evolve with AI.
We think you need these skills to ace Fractional Head of AI - Recruitment Sector in Hull
Some tips for your application 🫡
Show Your Experience: When writing your application, make sure to highlight your experience in leading complex transformation programmes. We want to see how you've reshaped business performance with technology and data, especially in the context of AI.
Speak Our Language: Use terminology that resonates with us at StudySmarter. Mention your fluency in modern AI ecosystems and how you can bridge traditional data practices with generative AI strategies. This will show us you're on the same page!
Keep It Clear and Concise: Remember, we’re looking for C-suite communicators! Simplify complex AI topics in your application. Show us how you can align AI investments with business strategy without getting too technical or bogged down in jargon.
Emphasise Your Change Leadership: We love change leaders! In your application, share examples of how you've engaged stakeholders and driven adoption of new technologies. Highlight your mentoring skills and commitment to responsible AI practices to really stand out.
How to prepare for a job interview at Head of AI
✨Know Your AI Stuff
Make sure you brush up on the latest in generative AI, agentic systems, and orchestration frameworks. Be ready to discuss how these technologies can drive business transformation and provide real value to mid-market companies.
✨Showcase Your Leadership Experience
Prepare examples of your past leadership roles where you successfully guided teams through complex transformations. Highlight how you’ve engaged stakeholders and driven adoption of new technologies, especially in AI.
✨Simplify the Complex
Practice explaining intricate AI concepts in a way that’s easy for C-suite executives to grasp. They’ll want to know how AI aligns with their business strategy, so be ready to connect the dots between tech and ROI.
✨Embrace the Entrepreneurial Spirit
Demonstrate your adaptability and curiosity about new AI tools. Share instances where you’ve thrived in fast-paced environments and how you’ve delivered measurable outcomes through experimentation and iteration.