AI Ops Adoption & Enablement Analyst

Micron Technology•Boise, ID

About The Position

As an AI Ops Adoption & Enablement Analyst in Micron's AI Operations Center of Excellence (AI Ops COE), you will help accelerate adoption of AI capabilities across Micron IT. You will partner with IT leaders, solution owners, architects, cybersecurity teams, and delivery collaborators to support effective deployment and integration of AI initiatives into daily operations. The position combines adoption enablement, organizational change, customer engagement, communications, operational coordination, and value realization. Working with AI Ops COE leadership, implementation teams, IT partners, and executive sponsors, you will support readiness, solution rollouts, adoption measurement, and realization of operational value. Through training, communication, coaching, coordination, and value-realization activities, you will help translate AI capabilities into sustainable operational improvements across the enterprise.

Requirements

Bachelor's degree in Business, Information Systems, Organizational Development, Communications, Project Management, or a related field, or equivalent experience.
Demonstrated ability in organizational transitions, technology adoption, enablement, customer success, project coordination, training, communications, or related work that helps users adopt new technologies.
Demonstrated experience coordinating multifunctional initiatives through planning, roadmap management, achievement tracking, action management, dependency coordination, executive reporting, communications, and execution support.
Ability to communicate effectively with technical and non-technical audiences, facilitate discussions, influence outcomes, and build trusted relationships across organizational boundaries.
Experience gathering feedback, analyzing adoption data, identifying trends, and translating findings into actionable recommendations and continuous-improvement opportunities.

Nice To Haves

Experience supporting adoption of artificial intelligence, automation, digital workplace technologies, Copilot platforms, or enterprise transformation initiatives.
Familiarity with organizational change frameworks, stakeholder analysis, readiness assessments, communications planning, and adoption measurement practices.
Experience supporting enterprise initiatives through roadmap management, action-item tracking, dashboard development, leadership reporting, working-session facilitation, and value-realization measurement.
Experience facilitating workshops, developing learning materials, leading office hours, creating enablement content, or supporting adult learning initiatives.
Experience working directly with senior leaders and supporting executive adoption of new technologies, operating models, and transformation initiatives.

Responsibilities

Collaborate with key parties to develop and implement adoption strategies that prepare teams for new AI capabilities and support organizational change.
Provide hands-on support, coaching, and guidance to users adopting AI solutions, helping teams understand how AI can improve efficiency, decision-making, service delivery, and employee experience.
Build relationships with technical teams, solution owners, managers, and executive leaders; address concerns, gather feedback, and encourage adoption.
Provide tailored guidance and white-glove support to senior leaders so they can understand, adopt, and champion AI solutions.
Develop and maintain implementation plans, turning point schedules, action-item tracking, dependencies, and delivery roadmaps across AI Ops initiatives.
Coordinate working sessions, planning meetings, readiness reviews, and collaborator forums; document decisions, track actions, follow up on commitments, and help remove delivery and adoption blockers.
Prepare executive presentations, leadership briefings, status reports, dashboards, and portfolio updates communicating progress, dependencies, risks, achievements, adoption metrics, and upcoming successes.
Coordinate communications, awareness campaigns, workshops, office hours, learning sessions, and enablement activities that reinforce responsible AI adoption and continuous learning.
Collect user feedback, adoption insights, and lessons learned to identify opportunities for solution improvements, training enhancements, and process optimization.
Develop and maintain adoption metrics, readiness indicators, usage trends, benchmark reporting, and operational value measurements; assess realized benefits and improvement opportunities.
Contribute to rollout playbooks, communication frameworks, enablement methodologies, reporting standards, and adoption protocols to improve consistency and scalability across AI initiatives.