AI Implementation & Governance Consultant

This is a remote position.We are implementing a comprehensive AI Strategy & Code of Responsibility that balances operational efficiency with our regenerative values, creative craft, and B Corp commitments. We need an experienced consultant to execute this strategyYou'll work across leadership, creative, operations, and sustainability teams to implement governance frameworks, operational quick wins, environmental accountability mechanisms, and training programmes. This role requires someone who can facilitate workshops with creative teams, translate AI risks into clear language, and navigate the tension between efficiency and craft.This is a delivery role. We have the strategy. We need someone who can operationalize it on time and within our SME reality.Key Responsibilities1. AI Governance & Policy Implementation

Operationalize our AI Code of Responsibility and internal governance framework
Issue and embed interim AI usage guidelines (Week 1) to eliminate "Shadow AI" risks
Define clear decision rights, escalation paths, and accountability owners for AI decisions
Ensure alignment with GDPR and EU AI Act requirements, appropriately scaled for a 35-person team
Establish incident reporting pathways and simple governance structures (AI Steering Group, departmental champions)
2. Sacred Creative Zones & Values Integrity

Facilitate workshops with Creative, Comms, and Leadership to define and document explicit no-AI boundaries
Translate creative boundaries into enforceable, day-to-day guidelines
Ensure AI adoption enhances efficiency without diluting craft, brand voice, artisan relationships, or human creativity
Balance aspiration with practical application across 3 stakeholder review cycles
3. Operational AI Quick Wins (Strategic Roadmapping)

Develop implementation-ready roadmaps for 3–4 priority use cases:

Shipping cost automation (Shopify integration)
Upholstery fabric calculators
Purchase Order / Sales Order admin automation
Data entry elimination

Evaluate vendor solutions vs DIY implementation options with cost-benefit analysis
Provide vendor shortlists, cost estimates, technical prerequisites, and sequencing recommendations
Note: This role delivers strategic roadmaps, not technical implementation (though technical fluency is essential)
4. Environmental & Ethical Accountability

Conduct an environmental impact assessment of all AI tools in use (energy, water, carbon footprint)
Implement a traffic-light classification system (Green/Amber/Red) aligned with our regenerative mission
Assess fairness, non-discrimination, and data privacy risks across AI-enabled workflows
Map personal/confidential data flows and GDPR compliance requirements
Identify compensating controls where high-value tools carry elevated risk
5. Training & Change Enablement

Design and deliver 90-minute foundation AI training workshop
Develop reusable training materials: role-based guides (Creative, Commercial, Ops, Leadership), onboarding checklists, FAQ documentation
Create AI Decision Framework: simple, one-page tool for evaluating future AI investments
Equip teams to manage AI responsibly without ongoing consultant dependency
6. Stakeholder Management & Communication

Act as a trusted partner to the CEO, Nature Director (sustainability lead), and department heads
Translate complex AI, ethical, and regulatory concepts into accessible language for non-technical, creative teams
Facilitate co-creation sessions that respect creative expertise and lived experience
Navigate the cultural nuances of working with craft-led, values-driven organizations



RequirementsEssential

8+ years in AI implementation, digital transformation, or technology governance roles
Proven track record operationalising AI policies, ethical frameworks, or governance structures (not just writing them)
Deep understanding of generative AI risks: IP exposure, brand dilution, bias/fairness, environmental impact, data privacy
Experience working with non-technical stakeholders, particularly creative, mission-driven, or values-led teams
Practical knowledge of GDPR and emerging AI regulation (EU/UK AI Act preferred)
Excellent facilitation skills: ability to run workshops that surface nuanced boundaries and build consensus
Strong documentation and communication: ability to translate complexity into clear, actionable guidance
Delivery orientation: you ship outcomes, not decks
Highly Desirable

Experience with SMEs, B Corps, or regenerative/sustainable businesses
Exposure to environmental impact assessment or sustainability frameworks applied to technology
Familiarity with e-commerce, creative industries, luxury/premium brands, or craft-led organisations
Experience designing training programmes or capability-building initiatives that enable independence
Understanding of AI Act risk classification (high-risk, limited-risk, minimal-risk systems)
Working Style We Value

Practical and grounded: You focus on what works in an SME context, not enterprise-grade complexity
Values-driven without being dogmatic: You respect our regenerative mission and creative integrity, but balance it with operational pragmatism
Comfortable with ambiguity and co-creation: You bring frameworks and facilitation, not prescriptive answers
Collaborative and respectful: You understand that creative teams know where the lines are; your job is to help them document and enforce those boundaries
What Success Looks LikeBy April 4, 2026, you will have delivered:

AI Code of Responsibility ready for publication (April 18 launch)
Sacred Creative Zones documented and adopted by Creative/Comms teams
Interim AI Guidelines issued (Week 1) and full governance framework operational
Operational Quick Wins Roadmaps for 3–4 priority use cases with vendor options, costs, and DIY guidance
Environmental Impact Assessment with traffic-light classification of all AI tools
Training materials that are reusable for future onboarding
AI Decision Framework, our team can use independently to evaluate future tools
Functioning governance model with clear roles, responsibilities, escalation paths, and incident reporting
Data flow map highlighting GDPR/AI Act compliance requirements
Eliminated Shadow AI risk across the organization


Most importantly, our team will be equipped to manage AI responsibly without ongoing consultant dependency.
BenefitsCompetitive daily/project rates based on experience and scopeProfessional development through exposure to multinational corporate trainingPortfolio building with anonymized case studies and impact metricsNetwork expansion across MENA corporate learning community






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