Director, AI Adoption & Change Management
New
P
phDataData and AI Consultancy
Remote-first data and AI consultancy company with employees across the United States, Latin America, and IndiaFull-TimeDirector
Salary not disclosed
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Job Details
- Experience
- 10+ years in management consulting or advisory; 7+ years leading organizational change management
- Required Skills
- Stakeholder managementChange ManagementLLM
Requirements
- 10+ years in management consulting or advisory with deep exposure to enterprise transformation programs.
- 7+ years leading organizational change management for technology transformations such as AI/ML, data platforms, or cloud migrations.
- Hands-on experience driving adoption of AI, LLM, or advanced analytics solutions.
- Proven track record owning or heavily influencing sales, including discovery, solution shaping, and closing large consulting deals.
- Ability to oversee complex, multi-workstream programs as an engagement leader.
- Deep familiarity with change management frameworks like Prosci ADKAR, Kotter, or ACMP.
- Exceptional executive communication and storytelling skills.
- Strong stakeholder management and influence skills.
- Fluency in agentic AI architectures, LLM platforms, and modern data stacks.
- Willingness to travel up to 50% per month when required.
Responsibilities
- Lead pre-sales engagements including discovery sessions, executive workshops, SOW scoping, and outcome-focused storytelling.
- Develop pipeline for adoption and change offerings, including repeatable collateral, playbooks, and case studies.
- Serve as executive sponsor or engagement leader, overseeing delivery quality, risk, and business outcomes.
- Oversee change roadmaps, stakeholder analyses, and communications strategies to pair AI initiatives with necessary operating model changes.
- Coach project managers, change leads, and technical teams to manage resistance and protect project scope.
- Manage customer satisfaction, renewals, and expansions by building relationships with C-suite stakeholders.
- Track and report on adoption KPIs, such as usage and productivity lift, to influence service offerings.
- Create and sponsor thought leadership, frameworks, and reusable assets for AI adoption.
- Mentor practitioners and define the long-term talent strategy for the change management capability.
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