AI Enablement Specialist

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.

● Provide 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.

● Remain 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.

Requirements:

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/organisational requirements.

● Business Skills: Advises on the available standards, methods, tools and applications relevant to own specialism and can make

appropriate choices from alternatives. Analyses, 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. Take all requirements into account when making proposals.

Take 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.

Benefits:

Desirable

● Scrum / Agile qualifications

● Prosci or similar Change Management certification.

● Certifications in AI/Data literacy or Prompt Engineering.