| Location | Missoula, MT |
| Job Type | Full-time |
Experience:
• 2+ years of progressive experience in AI enablement
• 5+ years of technology adoption, business analysis, process improvement, change management, learning and development, data, analytics, or related technology roles.
• Demonstrated experience helping employees adopt new technology through training, hands-on workshops, coaching, office hours, demonstrations, job aids, or champion networks.
• Experience partnering with business teams to identify pain points, assess workflow opportunities, document use cases, define success measures, and translate needs into practical AI, automation, analytics, or process-improvement opportunities.
• Hands-on experience using Microsoft 365 Productivity suite and Microsoft 365 Copilot, Copilot Studio, Power Platform, generative AI, or other AI-enabled tools to improve processes, analyze information, develop examples or prototypes, and support measurable business value.AI Literacy & Enablement
• Build employee understanding of AI fundamentals, appropriate use, and practical ways AI can support everyday work.
• Develop and deliver hands-on learning experiences such as training sessions, demonstrations, workshops, office hours, and coaching.
• Create reusable enablement materials, including prompt examples, quick-reference guides, playbooks, role-based examples, and learning resources.
• Help employees become confident using Microsoft Copilot and other approved AI-enabled tools by explaining capabilities, limitations, and effective prompting techniques.
Business Opportunity Discovery & Development
• Build trusted relationships with leaders and employees to understand business priorities, pain points, repetitive work, and improvement opportunities.
• Facilitate discovery sessions that translate business challenges into clearly defined AI, automation, analytics, or process-improvement opportunities.
• Document use cases, including the business problem, users, expected value, readiness needs, owner, and success measures.
• Maintain an opportunity pipeline and coordinate handoffs to the appropriate delivery teams.
Change Adoption & Value Realization
• Develop adoption plans that help business teams move approved AI capabilities from awareness into consistent, practical use.
• Support change management activities, including stakeholder communication, readiness planning, reinforcement, feedback collection, and issue escalation.
• Identify adoption barriers such as low confidence, unclear use cases, workflow friction, access constraints, or content readiness, and recommend practical ways to address them.
• Track and communicate value measures such as active use, time saved, quality improvements, employee feedback, business outcomes, and next steps for continued adoption.
Technical Skills & Knowledge
• Working knowledge of Microsoft 365 Copilot, Copilot Studio, agents, Power Platform, workflow automation, Microsoft AI tools and the suite of Microsoft 365 products.
• Understanding of generative AI concepts, prompt techniques, copilots, agents, automation, and human review of AI-generated work.
• Ability to evaluate and demonstrate AI features embedded in enterprise applications and vendor software.
• Ability to create simple examples, prompts, demonstrations, agents, or low-code automations for learning and opportunity validation.
• Ability to interpret adoption and usage data and translate findings into practical recommendations.
Skills and Competencies Required
• Strong facilitation, presentation, coaching, and written communication skills.
• Ability to make technical concepts understandable, relevant, and approachable.
• Strong business curiosity and ability to learn varied functions, workflows, and operating models.
• Practical problem-solving skills, including the ability to define problems, assess options, and recommend next steps.
• Strong relationship-building skills across business, technical, management, and frontline audiences.
• Ability to support change, build confidence, and help employees adopt new ways of working.
• Strong organization and follow-through with the ability to manage multiple learning, discovery, and adoption efforts.
• Learning agility, sound judgment, and comfort adapting as AI tools and business needs evolve.