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AI Adoption Strategist

Key Facts

Remote From: 
Full time
Senior (5-10 years)
English

Other Skills

  • Training And Development
  • Transformational Leadership
  • Communication
  • Leadership
  • Training And Development
  • Problem Solving

Roles & Responsibilities

  • 8+ years of experience in technology adoption, digital transformation, or change management
  • Proven experience supporting enterprise AI/ML adoption (e.g., generative AI, predictive analytics, RPA, intelligent automation)
  • Solid foundation in change management methodologies (e.g., Prosci, Kotter, or equivalent)
  • Experience designing enablement programs for non-technical audiences

Requirements:

  • Assess organizational readiness for AI adoption across cultural, technical, and capability dimensions
  • Design and execute AI adoption strategies that address user resistance, workflow integration, and behavioral change
  • Build AI governance frameworks, including responsible use policies, escalation paths, and human-in-the-loop protocols
  • Create and manage adoption dashboards tracking usage, proficiency, productivity impact, and business outcomes

Job description

This role is part of our ongoing bench program for upcoming client engagements. We are proactively identifying experienced consultants who can be deployed quickly as new projects are confirmed. While this position is not tied to an immediate start, it represents a strong opportunity to be considered for upcoming work aligned with your expertise and availability.

Please note that prior consulting experience is required, as this role will involve stepping into client environments with minimal ramp-up, working independently, and delivering high-quality outcomes. Qualified candidates will be contacted as relevant projects become available.

About the Role
We are seeking an AI Adoption Strategist to lead the successful integration of AI tools into business workflows, ensuring strong adoption and measurable business impact. This role blends strategy, change management, and enablement—helping organizations move beyond experimentation to real, sustained AI-driven outcomes.

Key Responsibilities

  • Assess organizational readiness for AI adoption across cultural, technical, and capability dimensions

  • Design and execute AI adoption strategies that address user resistance, workflow integration, and behavioral change

  • Develop role-specific enablement programs focused on practical AI application, not just tool functionality

  • Build AI governance frameworks, including responsible use policies, escalation paths, and human-in-the-loop protocols

  • Create and manage adoption dashboards tracking usage, proficiency, productivity impact, and business outcomes

  • Lead executive workshops on AI strategy, use case prioritization, and change leadership

  • Design communication strategies that address AI concerns, build trust, and encourage adoption

  • Partner with IT and data science teams to ensure AI solutions are deployed in ways that support real user adoption

  • Establish AI champion networks and peer learning communities to drive grassroots engagement

  • Identify automation opportunities and design human + AI workflows that optimize performance

Required Qualifications

  • 8+ years of experience in technology adoption, digital transformation, or change management

  • Proven experience supporting enterprise AI/ML adoption (e.g., generative AI, predictive analytics, RPA, intelligent automation)

  • Strong understanding of AI capabilities, limitations, and responsible use principles

  • Solid foundation in change management methodologies (e.g., Prosci, Kotter, or equivalent)

  • Experience designing enablement programs for non-technical audiences

  • Ability to translate complex technical concepts into clear, business-relevant narratives

  • Demonstrated track record of driving measurable adoption outcomes in technology transformation initiatives

  • Bachelor’s degree required; advanced degree in a relevant field preferred

Note: This role supports upcoming client engagements. Candidates should have prior consulting experience and be comfortable operating in fast-paced client environments with minimal ramp-up.

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