AI and Automation Executive

Silver Cloud

AI and Automation Executive helping Silver Cloud, a consulting business, identify, implement, govern, and measure practical AI solutions. Building colleague capability and improving delivery efficiency.

Posted 8/5/2026full-timeRemote • 🇬🇧 United KingdomMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in developing and implementing AI strategies, utilizing generative AI and automation tools, and managing projects to enhance operational efficiency. Strong analytical and problem-solving skills are essential for evaluating AI opportunities and translating business challenges into effective solutions.

Highest-signal resume keywords

Generative AI ToolsAI Strategy DevelopmentAutomation ImplementationData AnalysisProject Management

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Hard Skills

Artificial IntelligenceMachine LearningData ScienceAutomationLow-Code ToolsPrompt DesignAPIsWorkflow AutomationAnalytical SkillsProblem-Solving

Soft Skills

Strong Communication SkillsOrganisedSelf-MotivatedCollaborativeHigh Integrity

Tools & Technologies

Microsoft 365 CopilotGenerative AI ToolsNo-Code Automation Platforms

Industry Keywords

AI GovernanceData ProtectionInformation SecurityResponsible AI PrinciplesConsulting Methodologies

Tech Stack

Tools & technologies

Cloud

About the role

Key responsibilities & impact

Support the development and delivery of Silver Cloud’s AI strategy and implementation roadmap
Understand Silver Cloud’s services, consulting methodologies, and internal processes
Identify manual, repetitive, or inefficient activities suitable for AI or automation
Research AI developments, tools, and emerging practices
Maintain a prioritised pipeline of AI opportunities based on value, feasibility, risk, and strategic alignment
Define experiments, pilots, and implementation plans
Develop and test AI-enabled solutions using generative AI, automation, data, and low-code tools
Gather requirements, test solutions, and incorporate user feedback
Evaluate pilot outcomes and recommend adoption, improvement, scaling, or discontinuation
Support implementation, documentation, and review of successful solutions
Improve consulting delivery lifecycle and internal operations
Develop AI-enabled tools, templates, and approaches to reduce administration
Explore AI applications in discovery, requirements gathering, project management, documentation, testing, reporting, and knowledge management
Identify opportunities to strengthen the client proposition and develop new services or thought leadership
Act as an internal AI champion and developing subject-matter expert
Build colleague confidence through demonstrations, workshops, guidance, and hands-on support
Create prompt libraries, user guides, playbooks, and good-practice examples
Support adoption of new tools and ways of working
Support responsible AI policies, principles, and controls
Consider data protection, security, confidentiality, intellectual property, accuracy, bias, and human oversight
Assess new tools and use cases and escalate material risks
Establish success measures and track time, cost, quality, and business benefits
Provide regular updates to the SLT and wider business on progress, outcomes, risks, and priorities

Requirements

What you’ll need

A degree, or equivalent practical experience, in artificial intelligence, computer science, data science, business technology, information systems, or another relevant subject
Additional learning in AI, generative AI, machine learning, automation, data, or a related area through academic study, online courses, certifications, personal projects, or practical experimentation
Practical experience using generative AI tools to research, analyse, create, automate, or solve problems
Ability to quickly learn and evaluate new technologies
Strong problem-solving skills and interest in understanding processes
Analytical approach with ability to assess information, identify patterns, and reach reasoned conclusions
Confidence experimenting with new tools through testing and iteration
Strong written and verbal communication skills, including explaining technical concepts to non-technical audiences
Organised and self-motivated, with ability to manage priorities and several activities or experiments
Comfortable working where the answer or approach is not already known
High integrity and care when handling confidential, personal, or client information
Collaborative approach and willingness to work with colleagues at all organisational levels
Desirable: academic, personal, or professional AI, automation, or technology projects
Desirable: experience with low-code or no-code automation platforms
Desirable: understanding of prompt design, APIs, data analysis, or workflow automation
Desirable: knowledge of Microsoft 365 Copilot or comparable business technology
Desirable: ability to translate business challenges into practical solutions
Desirable: awareness of AI governance, data protection, information security, and responsible AI principles
Desirable: experience supporting a change, improvement, or technology implementation project
Desirable: experience presenting findings, delivering demonstrations, or supporting technology learning
Desirable: understanding how to measure benefits or return on investment of a technology initiative

Benefits

Comp & perks

25 days plus bank holidays
Day off for your birthday
Volunteering day
Enhanced family, sick, and bereavement leave
Counselling
Pension through salary sacrifice with the Pension People
WeCare 24/7 helpline
Second Medical Opinion
Flexibility from day one
Profit share bonus scheme
Refer a friend bonus
Life insurance x3 annual salary
Income protection
Private healthcare
Supportive team