AI Change Management Lead

Job Description

Job Description

Our clients are mid-market and enterprise organizations actively operationalizing AI-driven workflows across their finance, accounting, and operations functions. They need an experienced change management leader who can bridge the gap between technology implementation and organizational adoption. This interim consultant role is focused on driving the people side of AI transformation: ensuring employees understand, adopt, and sustain new AI-enabled processes and tools.

Responsibilities:

• Design and execute a comprehensive change management strategy aligned to the client's AI implementation roadmap
• Conduct stakeholder assessments and impact analyses across impacted business units and roles
• Develop communication plans that translate complex AI and automation changes into clear, audience-appropriate messaging
• Lead training design and delivery, including role-specific enablement for finance, accounting, and operations teams
• Build and coach a network of internal change champions to sustain adoption beyond the engagement
• Identify and proactively manage resistance, cultural barriers, and organizational readiness gaps
• Define and track change adoption KPIs and report progress to senior leadership and project sponsors
• Partner closely with IT, HR, and business unit leaders to align change timelines with deployment milestones
• Advise on organizational design adjustments needed to support new AI-enabled operating models

• 8+ years of change management experience with demonstrated delivery on large-scale technology or digital transformation programs
• Hands-on experience leading change for AI, automation, or ERP implementations within accounting, finance, or shared services environments
• Proficiency in structured change methodologies (Prosci/ADKAR, Kotter, McKinsey Influence Model, or equivalent)
• Strong executive presence with the ability to influence C-suite and board-level stakeholders
• Experience developing and facilitating role-based training and communications across multi-functional teams
• Proven track record measuring and reporting adoption outcomes tied to business impact

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We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.