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- Tasks: Bridge the gap between AI tech and users, ensuring smooth integration into daily operations.
- Company: Join a forward-thinking organisation committed to AI innovation and user empowerment.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Why this job: Be at the forefront of AI adoption, making a real difference in how teams work.
- Qualifications: Experience in change management and a passion for AI technology.
- Other info: Dynamic role with a focus on collaboration and continuous learning.
The predicted salary is between 36000 - 60000 £ per year.
The AI Enablement Specialist is responsible for ensuring that the organization doesn’t just deploy AI technology, but successfully integrates it into daily operations. While the delivery teams build the tools, this role ensures the workforce is ready, willing, and able to use them. You will act as the primary bridge between technical AI development and the end-users, focusing on human-centric adoption, prompt engineering excellence, and measurable productivity gains. The AI Enablement Specialist promotes the Group's AI vision and strategic objectives through clear company-wide communication and adoption initiatives with measurable value.
In collaboration with AI development teams and regional stakeholders, they drive the integration and adoption of new AI technologies across the organisation, ensuring a coordinated approach to AI solution delivery that maximises enterprise value and adoption.
The primary goals of the Group AI team include:
- Leading the definition and communication of the AI Products and technologies.
- Developing and maintaining a roadmap of products and initiatives.
- Gathering and analyzing needs and business requirements to identify technology solutions.
- Providing training and governance around the usage and development of AI solutions across the business.
- Ensuring AI product quality and alignment with user and business needs.
- Monitoring and analyzing product performance and user feedback to drive iterative improvements.
- Remaining up to date with modern AI and Data trends and business opportunities.
To ensure the successful adoption and long-term value realization of AI tools & initiatives by:
- Acting as the "AI Translator": Converting technical AI capabilities into practical, department-specific use cases for non-technical staff.
- Driving AI Fluency: Designing and delivering training programs that move employees from basic awareness to advanced AI proficiency.
- Optimizing Workflows: Partnering with regional leads to identify "bottleneck" processes that can be streamlined through AI-augmented workflows.
- Ensuring Ethical Use: Promoting and governing the safe, compliant, and ethical use of AI tools across the organization.
- AI Communication: Sharing opportunities and advancements in AI within the organisation through a trusted network of AI evangelists.
- Adoption Strategy & Planning: Define and execute an "Enablement Roadmap," ensuring AI tools are rolled out with clear change management plans and support structures.
- AI Pioneers: Develop and collaborate with a large network of AI evangelists across the organisation to create a culture of learning and knowledge sharing, from which to further reach business value and AI Adoption.
- Prompt Engineering & Best Practices: Develop and maintain a central library of "gold standard" prompts and templates for various business functions (e.g., Sales, HR, Finance).
- Stakeholder Engagement: Collaborate with regional leads to gather user feedback, identify "AI Champions" within departments, and address resistance to AI adoption.
- Value Realization & ROI Tracking: Define and monitor adoption KPIs (e.g., active user rates, time-saved metrics) to articulate the cumulative business value generated by AI investments.
- Training & Education: Lead workshops, webinars, and 1-on-1 coaching sessions to improve the organization's collective "AI IQ."
- Governance & Compliance: Champion AI governance frameworks, ensuring users adhere to GDPR, the EU AI Act, and internal data privacy policies when interacting with AI tools.
- Iterative Improvement: Monitor user feedback to provide the central AI team with actionable insights for product refinement and feature requests.
Experience:
- Proven experience in Change Management, Instructional Design, or Digital Transformation roles.
- Experience in a corporate setting driving the adoption of new technologies (highly desirable).
- Demonstrated experience in a client-facing or internal consulting role.
- Experience with AI/ML tools (e.g., Gemini, ChatGPT, Claude, Copilot) in a professional context.
- Experience working with partners on suppliers on planning and program delivery.
AI Literacy: Strong understanding of Generative AI concepts, LLM capabilities, and prompt engineering techniques.
Communication: Exceptional ability to translate complex technical concepts into simple, persuasive language for diverse audiences.
Analytical thinking: Ability to analyze business requirements and advise on scope for operational improvement through AI.
Influence: Ability to build effective relationships and influence stakeholders who may be skeptical of AI technology.
Knowledge & Skills:
- Autonomy: Works under broad direction. Is fully responsible for meeting allocated objectives. Establishes milestones and has a significant role in the assignment of tasks and/or responsibilities.
- Influence: Influences organisation, customers, suppliers, partners, and peers on the contribution of their own specialism. Builds appropriate and effective business relationships. Makes decisions that impact the success of assigned work, i.e. results, deadlines, and budget. Has significant influence over the allocation and management of resources appropriate to given assignments.
- Complexity: Performs an extensive range and variety of complex professional work activities. Undertakes work that requires the application of fundamental principles in a wide and often unpredictable range of contexts. Understands the relationship between own specialism and wider customer/organizational requirements.
- Business Skills: Advises on the available standards, methods, tools and applications relevant to own specialism and can make appropriate choices from alternatives. Analyzes, designs, plans, executes and evaluates work to time, cost and quality targets. Assesses and evaluates risk. Communicates effectively, both formally and informally. Demonstrates leadership. Facilitates collaboration between stakeholders who have diverse objectives. Takes all requirements into account when making proposals. Takes initiative to keep skills up to date. Mentors colleagues. Maintains an awareness of developments in the industry.
- Analytical: Analyses requirements and advises on scope and options for continuous operational improvement. Demonstrates creativity, innovation, and ethical thinking in applying solutions for the benefit of the customer/stakeholder.
Desirable:
- Scrum / Agile qualifications.
- Prosci or similar Change Management certification.
- Certifications in AI/Data literacy or Prompt Engineering.
AI Enablement Specialist in Crawley employer: Rentokil Initial Group
Contact Detail:
Rentokil Initial Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Enablement Specialist in Crawley
✨Tip Number 1
Network like a pro! Get out there and connect with people in the AI field. Attend meetups, webinars, or industry events. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio that highlights your experience with AI tools and projects. This could be anything from case studies to presentations. When you apply through our website, make sure to include links to your work!
✨Tip Number 3
Prepare for interviews by practising common questions related to AI adoption and change management. Think about how you can translate complex concepts into simple terms. We want to see how you can bridge the gap between tech and users!
✨Tip Number 4
Follow up after interviews! A quick thank-you email can go a long way. It shows your enthusiasm for the role and keeps you fresh in their minds. Plus, it’s a great chance to reiterate why you’re the perfect fit for the AI Enablement Specialist position.
We think you need these skills to ace AI Enablement Specialist in Crawley
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter for the AI Enablement Specialist role. Highlight your experience in change management and how you've successfully integrated new technologies in the past. We want to see how you can bridge the gap between tech and users!
Showcase Your AI Knowledge: Don’t hold back on your understanding of AI tools and concepts! Mention any hands-on experience with AI/ML tools like ChatGPT or Copilot, and how you've used them to drive productivity. This will show us you're not just familiar with the tech, but you know how to make it work for people.
Communicate Clearly: Remember, we’re looking for someone who can translate complex ideas into simple terms. Use clear, persuasive language in your application to demonstrate your communication skills. This is key for the role, so let your writing shine!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates. Plus, it shows you’re keen on joining our team at StudySmarter!
How to prepare for a job interview at Rentokil Initial Group
✨Know Your AI Stuff
Make sure you brush up on your knowledge of AI concepts, especially generative AI and prompt engineering techniques. Be ready to discuss how these can be applied in practical, department-specific scenarios. This will show that you can bridge the gap between technical teams and end-users.
✨Showcase Your Change Management Skills
Prepare examples from your past experiences where you've successfully driven the adoption of new technologies. Highlight your ability to influence stakeholders and manage resistance, as this is crucial for the role. Use specific metrics or outcomes to demonstrate your impact.
✨Communicate Clearly
Practice translating complex technical jargon into simple, persuasive language. You might be asked to explain AI tools to non-technical staff, so being able to communicate effectively is key. Think about how you would explain AI concepts to a friend who knows nothing about it.
✨Be Ready to Discuss Training Initiatives
Since training and education are vital parts of the role, come prepared with ideas for workshops or training programmes you could implement. Think about how you would move employees from basic awareness to advanced AI proficiency, and be ready to share your vision for fostering a culture of learning.
