AI ENABLEMENT LEAD

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)