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AI Technology Adoption Specialist
London & Partners. Act as the primary contact for SMEs participating in the AI Integrate Accelerator programme .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in AI technology solutions and digital transformation for SMEs, with a strong focus on relationship management, stakeholder engagement, and tailored technology adoption strategies. Proficient in project management and capable of delivering impactful training and support to enhance business productivity and operational efficiency.
Highest-signal resume keywords
AI Technology SolutionsStakeholder EngagementProject Management TechniquesData LiteracyDigital Transformation
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Generative AIMachine LearningPredictive AnalyticsData AnalyticsNatural Language ProcessingConversational AIComputer VisionAI-Enabled AutomationPrompt EngineeringAI Integration
Soft Skills
Communication SkillsNetworking SkillsAnalytical SkillsOrganizational SkillsPresentation Skills
Tools & Technologies
CRM DatabasesRemote Collaboration ToolsSpreadsheetsEmail SystemsDiary Management
Certifications & Qualifications
Degree in Digital TechnologyDegree in Computer ScienceDegree in DataDegree in EngineeringDegree in Business Technology
Industry Keywords
AI Adoption PrinciplesDigital TransformationSME EngagementBusiness ImprovementTechnology Adoption Roadmaps
About the role
Key responsibilities & impact- Act as the primary contact for SMEs participating in the AI Integrate Accelerator programme
- Build relationships with clients and understand their business needs and challenges
- Manage a portfolio of approximately 40 London-based SME manufacturers
- Assess client readiness for AI digital transformation and identify suitable support
- Develop tailored technology adoption roadmaps
- Deliver one-to-one specialist advice and technical initiatives supporting AI implementation
- Signpost alternative support offered by London & Partners
- Share SME and delivery insights with programme leadership to improve outcomes and operations
- Maintain awareness of new technology developments and industrial applications
- Engage SMEs across London to promote the programme and encourage registrations
- Liaise with regional managers, business support managers, and SME sector networks
- Represent the programme at business and industry events
- Assist with development of case studies
- Coordinate site visits and remote consultations
- Monitor progress against transformation plans and provide ongoing support
- Track client engagements in the CRM for impact tracking and funder reporting
- Work with course providers to ensure content meets client needs
Requirements
What you’ll need- Proven experience advising on or implementing AI technology solutions within SME contexts
- Proven experience helping businesses achieve increased productivity, enhanced competitiveness, improved operational efficiency, new or improved products and services, or improved customer experience
- Track record working with SMEs, diagnosing business needs and developing practical strategic action plans for AI and digital technologies
- Experience supporting technology adoption from identifying and prioritising use cases through experimentation, implementation and integration
- Experience in stakeholder engagement and relationship management, including working with senior management
- Experience delivering training, workshops or one-to-one technical support relating to AI, digital technologies or business improvement
- Understanding and experience of project management techniques
- Strong understanding and technical skills across generative AI, LLMs, prompt engineering, AI-enabled automation, machine learning, predictive analytics, data analytics, NLP, conversational AI, computer vision, image recognition, AI agents, and integration of AI tools with business systems
- Strong understanding of data literacy and data readiness for AI
- Strong understanding of responsible AI, including privacy, security, ethics, bias, transparency, governance and human oversight
- Understanding of digital transformation and AI adoption principles
- Degree or equivalent qualification in digital technology, computer science, data, engineering, business technology or a related field, or equivalent relevant professional experience
- Strong practical AI and data literacy
- Strong written and oral presentation abilities
- Excellent communication and networking skills
- Ability to explain complex AI and technical concepts simply
- Ability to analyse business challenges and identify appropriate AI use cases and solutions
- Strong planning, organisational, administrative and project management skills
- Well-developed IT and digital skills, including AI tools, remote collaboration tools, spreadsheets, diary management, email systems and CRM databases
Benefits
Comp & perks- 30 Days Annual Leave
- Competitive Salary
- Learning & Development Opportunities
- Strong Culture of Belonging
- Various Networks for Staff
- Competitive Pension Scheme
- Networking Opportunities
- Geopolitical Insights
- Hybrid Working Arrangement
- WorkFlex: opportunities to work abroad
- Flexible working patterns, including full-time, job-share, or part-time