Enterprise AI Adoption & Change Lead

Orion Innovation

Woodbridge Township (NJ)

On-site

USD 120,000 - 170,000

Full time

5 days ago

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Job summary

Orion Innovation is seeking an experienced Adoption & Change Lead to drive the successful adoption of Microsoft 365 Copilot, Copilot Studio agents, and other enterprise AI capabilities across the client’s organization. You will translate AI deployments into measurable business adoption and partner with leaders, IT, HR, and end users to embed new ways of working.

The role requires strategic change management, stakeholder engagement, and hands-on enablement of adoption programs to maximize

Qualifications

8-10 years of experience in organizational change management, digital transformation, enterprise technology adoption, or business transformation.
Demonstrated experience planning and executing change management initiatives for enterprise technology implementations.
Strong skills in stakeholder analysis, change impact assessment, readiness evaluation, communications planning, and adoption measurement.
Experience developing role-based adoption strategies, engagement programs, champion networks, and user enablement initiatives.
Ability to work with senior business stakeholders, IT teams, HR, communications, and operational teams.

Responsibilities

Develop and execute change management and adoption strategies for Microsoft 365 Copilot, enterprise AI agents, and related productivity solutions.
Conduct stakeholder analysis, change impact assessments, user segmentation, and readiness assessments across business functions.
Identify business scenarios and workflows where AI capabilities can improve productivity, collaboration, and operational effectiveness.
Develop adoption roadmaps, communications plans, engagement campaigns, champion networks, and role-based enablement programs.
Partner with business leaders and functional teams to identify adoption barriers, address resistance, and build confidence in using AI responsibly.
Coordinate with Copilot trainers and enablement specialists to align learning programs with business workflows and user needs.
Design and facilitate workshops, demonstrations, office hours, feedback sessions, and other adoption activities.
Establish adoption measurement frameworks using relevant usage insights, surveys, feedback, and business outcome metrics.
Analyze adoption trends, identify underutilized capabilities, and recommend targeted interventions to improve sustained usage.
Work with IT and governance teams to ensure communications and adoption practices reflect approved AI usage policies, data protection requirements, and responsible AI guidelines.
Develop adoption dashboards, stakeholder reports, playbooks, communications materials, and change management documentation.
Capture lessons learned, success stories, and reusable adoption practices to support the wider enterprise AI rollout.