AI Adoption Lead

Jobgether; United States; On-site; USD 150,000 - 230,000; Full time

Benefits offered by this job

Medical, dental, and vision insurance

401(k) plan

Paid time off

Holidays

Job summary

Jobgether is seeking an AI Adoption Lead in the United States to bridge AI deployment with people, processes, and organizational changes to deliver lasting business value.

You will collaborate with business leaders to shape jobs, skills, and team structures, guiding adoption using workforce data and cross-functional partnerships. This role focuses on responsible, practical, and sustainable AI-augmented workplaces.

Qualifications

• 8+ years of experience in change management, HR transformation, organizational effectiveness, or related people-focused roles.
• Experience leading large-scale technology or digital transformation initiatives from the people and organizational perspective.
• Strong data literacy and comfort using adoption metrics and workforce analytics to inform decisions.

Responsibilities

• Partner with organizational change management teams to design and execute AI adoption strategies that move employees to sustained adoption.
• Develop stakeholder engagement plans, resistance-mapping approaches, influence strategies, and networks of AI champions.
• Monitor adoption signals and adjust interventions based on real-time usage and workforce data.
• Address employee concerns, anxiety, trust, and psychological safety throughout AI transformation initiatives.
• Deconstruct tasks across roles to determine what AI can automate, augment, or create.

Skills

Change management

HR transformation

Organizational development

Workforce analytics

AI fluency

Stakeholder management

Job description

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for an AI Adoption Lead based in United States.

The AI Adoption Lead bridges the gap between AI deployment and the people, processes, and organizational changes required to realize lasting business value. Embedded within a specific business unit, this role combines change management, organizational design, workforce strategy, coaching, and capability building. You will help employees transition from experimenting with AI to confidently integrating AI into everyday work. The role will shape how jobs, skills, workflows, management practices, and team structures evolve as AI adoption scales. Working closely with business leaders and cross-functional partners, you will use workforce and adoption data to guide transformation decisions. This is a highly strategic, people-centered opportunity for someone passionate about creating responsible, practical, and sustainable AI-augmented workplaces.

Accountabilities

• Partner with organizational change management teams to design and execute AI adoption strategies that move employees from experimentation to effective, sustained adoption.
• Develop stakeholder engagement plans, resistance-mapping approaches, influence strategies, and networks of AI champions and superusers.
• Monitor adoption signals and adjust interventions based on real-time usage and workforce data.
• Address employee concerns, anxiety, trust, and psychological safety throughout AI transformation initiatives.
• Deconstruct tasks across business-unit roles to determine what AI can automate, augment, or create.
• Redesign job descriptions, role profiles, job families, career pathways, and role-leveling frameworks to reflect evolving human-AI responsibilities.
• Identify roles potentially affected by AI-driven changes and develop proactive transition pathways.
• Assess AI fluency and capability gaps across functions, levels, and workforce segments, and develop targeted learning and enablement programs.
• Integrate AI capability building into everyday workflows and equip managers to lead AI-augmented teams.
• Build dynamic skills supply-and-demand models that account for both human employees and AI agents.
• Identify future workforce requirements over a 12-36 month horizon and inform build, buy, borrow, or automate decisions.
• Support scenario planning for workforce structure and headcount as AI adoption expands.
• Assess organizational structures and recommend changes to spans, layers, team composition, management accountabilities, and human-agent workflows.
• Identify and pilot new operating models, including human-in-the-loop decision-making approaches.
• Promote active participation in AI transformation while addressing fear, mistrust, equity concerns, and responsible AI considerations.
• Partner with talent and learning teams to deliver manager programs focused on judgment, coaching, and human-AI workflow oversight.
• Own the business unit's AI adoption measurement framework and develop meaningful metrics covering usage, frequency, depth, and adoption health.
• Partner with technology teams to make adoption data accessible and actionable, while identifying informal or shadow AI usage and channeling it toward governed adoption.
• Analyze adoption across workforce segments and share insights with enterprise transformation teams to inform broader AI strategy.

Requirements

• 8+ years of experience in change management, HR transformation, organizational effectiveness, organizational development, or related people-focused roles.
• Demonstrated experience leading large-scale technology or digital transformation initiatives from the people and organizational perspective.
• Strong understanding of change management frameworks and the ability to adapt them to AI-driven transformation.
• Experience in workforce planning, role design, job architecture, or related organizational disciplines.
• Ability to establish trust and credibility with business-unit leaders as well as frontline employees.
• Strong data literacy and comfort using adoption metrics and workforce analytics to inform decisions.
• Personal proficiency with AI tools and genuine enthusiasm for AI-augmented ways of working.
• Experience working directly within a business unit is preferred.
• Exposure to agentic AI, automation workflow design, or human-in-the-loop process redesign is preferred.
• Background in learning and development or large-scale capability building is a plus.
• Knowledge of organizational design principles and structural assessment methodologies is preferred.
• Experience with skills-based talent models and dynamic workforce planning tools is advantageous.
• Relevant industry knowledge aligned with the assigned business unit is beneficial.
• Certification or coursework in AI transformation leadership is a plus.

Benefits

• Compensation structured as On-Target Earnings (OTE), including base salary and any applicable target bonus; actual compensation may vary based on experience, qualifications, and geographic location.
• Medical, dental, and vision insurance.
• 401(k) plan.
• Paid company holidays.
• Paid time off.
• Paid parental and caregiver leave.
• Opportunities for professional growth, cross-department training, certifications, and continued learning.
• Access to technology-focused resources and development opportunities.
• Inclusive employee communities and initiatives supporting diversity, growth, and belonging.
• Additional employee benefits and resources available through the organization's benefits program.

Data Privacy Notice

By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

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.