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 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 Responsibilities

1. 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

Requirements

Essential

• 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 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 Like

By April 4, 2026, you will have delivered:

• AI Code of Responsibilityready for publication (April 18 launch)

• Sacred Creative Zonesdocumented and adopted by Creative/Comms teams

• Interim AI Guidelinesissued (Week 1) and full governance framework operational

• Operational Quick Wins Roadmapsfor 3–4 priority use cases with vendor options, costs, and DIY guidance

• Environmental Impact Assessmentwith traffic-light classification of all AI tools

• Training materialsthat are reusable for future onboarding

• AI Decision Framework,our team can use independently to evaluate future tools

• Functioning governance modelwith clear roles, responsibilities, escalation paths, and incident reporting

• Data flow maphighlighting GDPR/AI Act compliance requirements

• Eliminated Shadow AI riskacross the organization

Originally posted on Himalayas