Job Description
Title: OCM Lead - GenAI Transformation
Location - Remote
Contract
Job Summary:
We are seeking an experienced Organizational Change Management (OCM) Lead to drive enterprise-wide adoption of Generative AI (GenAI) solutions. This role will lead change strategy, stakeholder engagement, communications, and training to ensure successful integration of GenAI capabilities across business and technology teams.
- Key Responsibilities:
- Define and execute OCM strategy for GenAI-driven digital transformation initiatives
- Partner with business leaders, IT, AI/ML teams, and vendors to enable GenAI adoption at scale
- Conduct change impact assessments for GenAI use cases, workflows, and operating models
- Develop and deliver communication plans, executive messaging, and leadership readiness programs
- Design and implement training and enablement programs focused on GenAI tools, copilots, and AI-assisted workflows
- Drive user adoption, behavioral change, and value realization of GenAI solutions
- Establish change governance, KPIs, and adoption metrics (usage, productivity, sentiment)
- Manage resistance, risk, and cultural change related to AI ethics, trust, and responsible AI usage
- Coordinate with HR, L&D, Legal, Compliance, and Security on AI policy, ethics, and workforce impact
- Support post-go-live reinforcement and continuous improvement of GenAI initiatives Required Skills & Qualifications:
- 10+ years of experience in Organizational Change Management for large-scale digital programs
- Strong experience with AI, GenAI, automation, or advanced analytics initiatives
- Hands-on experience with OCM frameworks (Prosci, ADKAR, Kotter, etc.)
- Ability to translate complex GenAI concepts into business-friendly messaging
- Proven leadership in stakeholder management and executive communications
- Experience driving training, adoption, and transformation in enterprise environments
- Strong understanding of AI ethics, responsible AI, and change risks
- Excellent communication, facilitation, and influencing skills
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