AI Implementation & Governance Consultant
MENA Alliances
59d ago
0OtherUnited Stateshimalayas
AI-ConsultingTechnology-GovernanceDigital-TransformationAI-ImplementationAI-Program-ManagementAI-Ethics-ConsultingRegulatory-Compliance-ConsultingAI-Governance-ConsultantAI-Implementation-ConsultantAI-Governance-ArchitectAI-Implementation-SpecialistAI-Integration-ConsultantAI-Implementation-ManagerAI-ConsultantAI-Transformation-ConsultantAI-Implementation-ManagementAI-Adoption-ConsultingSenior
Job Description
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 toexecute this strategy; not write more theory, but ship practical outcomes that our team can own and operate independently.You'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 efficiencywithoutdiluting 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+ yearsin AI implementation, digital transformation, or technology governance roles
Proven track recordoperationalising AI policies, ethical frameworks, or governance structures (not just writing them)
Deep understandingof 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 knowledgeof 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 withSMEs, B Corps, or regenerative/sustainable businesses
Exposure toenvironmental impact assessmentor sustainability frameworks applied to technology
Familiarity withe-commerce, creative industries, luxury/premium brands, or craft-led organisations
Experience designingtraining programmes or capability-building initiativesthat enable independence
Understanding ofAI Act risk classification(high-risk, limited-risk, minimal-risk systems)
Working Style We Value
Practical and grounded: You focus on w
