AI Change Enablement Consultant

SHI International Corp.

About The Position

The SHI Services AI Change Enablement Consultant plays a critical role in enabling exceptional client experiences with Microsoft Copilot, Copilot agents, and adjacent AI-powered services. This role focuses on helping clients reimagine how work gets done through design-led thinking, intentional ways of working, and practical enablement that drives measurable outcomes. This individual partners closely with architects, delivery teams, and client stakeholders to facilitate design-led thinking sessions, identify moments that matter in daily work, prioritize high-value Copilot use cases, and guide clients from ideation through adoption and value realization. In addition to experience design, the role owns core change management disciplines, including communication planning, enablement programs such as Prompt-a-thons, and evaluation of outcomes aligned with client objectives. This role is not traditional training delivery. Enablement in this role means building durable capability and confidence so individuals can apply Copilot and agents across varied scenarios, not simply learning how to use specific features. This role sits at the intersection of AI innovation, human experience, and responsible enablement. It offers the opportunity to shape how organizations build lasting capability with Copilot and workforce agents while contributing to the evolution of SHI’s Microsoft Services practice.

Requirements

Bachelor’s degree in a technical, business, or related field.
Experience leading enablement, adoption, or change management efforts that help people embrace new tools and ways of working.
Strong facilitation and communication skills, including experience leading design-led thinking sessions, workshops, or working sessions.
Prosci certification or formal training in change management.
Familiarity with Microsoft Copilot, Copilot Studio, declarative or embedded agents, or similar AI-assisted workflow patterns.
Familiarity with using the Power Platform to design workflows, automation, or AI-enabled experiences.
Ability to translate business objectives into practical enablement strategies and measurable outcomes.
Consultative mindset with the ability to work effectively across technical and non-technical stakeholders.
Ability to work independently and as part of a collaborative, cross-functional team.
Ability to travel for organizational and client engagements, up to 20%.
Willingness to continuously learn Microsoft Copilot, AI capabilities, and enablement best practices.
Strong ethical standards and adherence to data privacy, governance, and security policies.

Nice To Haves

Microsoft Copilot, agent, AI, or Power Platform certifications, including:
Microsoft 365 Copilot and Agent Administration Fundamentals (AB 900)
Microsoft Agentic AI Business Solutions Architect (AB 100)
Microsoft AI Business Professional (AB 730)
Microsoft AI Transformation Leader (AB 731)
Microsoft Azure AI Fundamentals (AI 900)
Microsoft Azure AI Engineer Associate (AI 102)
Exposure to governance, security, or responsible AI considerations in enterprise environments.
Candidates should not self-select out if they do not meet all of these.

Responsibilities

Enable clients to build new AI-powered capabilities by leading design-led thinking sessions and discovery workshops that uncover how work gets done, where Copilot can be applied, and why it matters.
Help clients move beyond isolated use cases by translating design insights into repeatable Copilot and agent scenarios that can be applied across roles, workflows, and business contexts.
Partner with architects and engineers to ensure Copilot and agent solutions are implemented in ways that reinforce scalable behaviors, decision-making patterns, and operating models.
Design and execute enablement strategies that empower users to apply Copilot effectively in their daily work, not just learn features or complete training.
Develop targeted communication and enablement experiences, including Prompt-a-thons, scenario-based workshops, and role-specific learning journeys, that build confidence and fluency over time.
Create practical enablement assets such as playbooks, prompt libraries, and internal enablement sites that support ongoing experimentation and application.
Assess readiness, engage stakeholders, and identify barriers that limit capability development, adjusting enablement approaches based on feedback and observed usage.
Define and measure success in terms of sustained capability, productivity, efficiency, and experience, using data and outcomes to continuously refine enablement strategies.