AI Change & Enablement Manager
Reports to: Chief Solutions Officer
Location: Home Based - UK
Context and Overall Purpose of Role
Total Negotiation Group is hiring an AI Change & Enablement Manager to drive practical AI adoption across internal teams and client delivery. This is a hands-on transformation role focused on behaviour change, workflow redesign, capability building, and productising proven AI use cases.
This role is less about defining high-level AI strategy and more about making AI work in day-to-day operations and client outcomes.
Key Responsibilities:
1) AI Change Management & Adoption
- Lead structured AI adoption across non-technical and commercial teams.
- Design and run communication, training, coaching, and reinforcement programmes.
- Define practical responsible-AI usage standards and team playbooks.
- Track adoption and usage outcomes; remove blockers and improve uptake.
2) Workflow Redesign & AI Implementation
- Identify manual/high-friction workflows and redesign them using AI and automation.
- Build or coordinate practical solutions using appropriate tooling (directly or via partners).
- Ensure workflows are usable, secure, and embedded into operating routines.
3) Client Delivery Enablement
- Equip consultants/facilitators with AI methods, prompts, templates, and assets.
- Integrate AI into workshops, training programmes, and client engagements.
- Help teams translate business problems into practical AI-enabled interventions.
4) Productisation & Commercial Application
- Turn successful internal/client use cases into repeatable, sellable offerings.
- Define value proposition, scope, delivery model, and pricing logic.
- Support go-to-market messaging with practical proof points.
Tooling & Platform Fluency: -
The role requires broad tooling literacy, with ability to work hands-on where appropriate and lead cross-functional implementation where deeper specialists are needed.
Expected platform awareness
- Cloud AI ecosystems: Azure AI services, AWS AI/ML services (and equivalent)
- Workplace AI platforms: Microsoft Copilot ecosystem, Anthropic Claude, enterprise assistants
- Automation/orchestration: n8n, Make, Zapier, Power Automate
- LLM application stack: prompt design, copilots/agents, RAG concepts, evaluation basics
- Data/knowledge integration: document sources, vector/search patterns, basic data readiness
- Governance/security basics: access controls, privacy, model risk, responsible use
- Direct vs indirect expectation
- Direct: Can prototype workflows, test tools, and run pilots.
- Indirect: Can scope architecture-level decisions, evaluate vendors/platforms, and coordinate with IT/data/security/engineering for production rollout.
Skills Required:
Change, Adoption & Capability Building
- Change management leadership
- Facilitation & capability transfer
- Stakeholder influence & communication
Applied AI Delivery & Tooling Fluency
- Workflow automation & process redesign
- Cross-platform AI tooling literacy (Azure, Copilot, automation stack)
- Practical LLM fluency and execution discipline
Experience Required: -
- 2-5 years experience
- Strong change/adoption transformation track record.
- Demonstrated experience embedding AI into real workflows and team behaviour.
- Broad AI tooling exposure across enterprise ecosystems (not limited to one toolset).
- Comfortable working both hands-on and through specialist partners.
- Product-minded and commercially credible in client-facing environments.
Benefits: -
- Performance Bonus
- Competitive Salary
- Paid Birthday leave
- 27 days annual leave
- Employer supported volunteering
- Flexible working hours
- Study allowances
- Private Health Cover
- Electric car scheme
- Employee Ownership Trust