Nox Group is scaling its Claude AI rollout from executive and director-level use to team-wide adoption across our subsidiaries. We're looking for an AI Enablement Lead to own the next phase: working directly with directors and their teams to turn identified use cases into real, working AI tools — primarily in the form of Claude “skills,” reusable prompts, and guided workflows — and to train frontline teams to use them confidently and correctly.

This is not a software engineering role. The ideal candidate is a strong communicator and systems thinker who deeply understands how Claude works (skills, projects, prompting, context management) and can translate a subject-matter expert's tacit knowledge into a reliable, documented, repeatable AI workflow — without needing to write production code.

Key Responsibilities

Use Case → Solution Translation

• Partner with directors and team leads to gather and prioritize AI use cases surfaced during rollout
• Run structured interviews/working sessions with SMEs to extract process knowledge (similar to Standard Works development)
• Design and build Claude skills, custom Projects, and prompt templates that solve real team workflows

Skill & Content Development

• Own the end-to-end skill creation pipeline: intake → drafting → testing → documentation → deployment
• Maintain a library of reusable skills, prompt patterns, and example outputs across subsidiaries
• Ensure consistency with existing Nox Group AI assets (Guru knowledge base, AI Acceptable Use Policy, branded templates)

Training & Enablement

• Design and deliver onboarding/training for teams receiving new Claude access or skills
• Create simple, non-technical documentation (quick-start guides, FAQs, video walkthroughs)
• Act as the first line of support for “how do I use this” and “can Claude do X” questions

Program Management

• Track adoption metrics by department/subsidiary (usage, seat utilization, use case throughput)
• Maintain a rolling backlog of requested use cases and report status to ELT/directors
• Identify patterns across departments where a single skill could serve multiple teams

Governance & Quality

• Ensure new skills/use cases comply with the AI Acceptable Use Policy
• Flag use cases that need engineering involvement (e.g., MCP/API integration) and coordinate handoff to the technical team
• Maintain quality/testing standards so skills behave predictably before wide release

Required Qualifications

• 3+ years in a role involving process documentation, training/L&D, business analysis, instructional design, or knowledge management
• Hands-on, practical fluency with Claude or a comparable LLM (extensive personal or professional use — not just awareness)
• Demonstrated experience building or maintaining a prompt/skill library, custom instructions, or similar AI configuration work
• Demonstrated ability to translate ambiguous, real-world processes into clear, structured documentation
• Strong facilitation skills — comfortable running working sessions with directors and frontline staff alike
• Excellent written communication; able to write for a non-technical audience
• Self-directed; comfortable owning a program with light day-to-day oversight

Preferred Qualifications

• Background in construction, industrial, or multi-entity/subsidiary organizations
• Experience designing training programs or adult-learning curricula
• Basic understanding of what's technically feasible (APIs, integrations) even without building it themselves — enough to scope work for engineering

Explicitly Not Required

• Software engineering or programming experience
• Data science / ML model development background

Success Metrics (First 6–12 Months)

• Number of teams onboarded beyond ELT/directors
• Number of production skills built and actively used
• Reduction in “how do I...” support requests via better docs/training
• Director/team satisfaction with AI tools (qualitative feedback)
• Use case backlog conversion rate (requested → shipped)