AI Adoption Lead

Minimum Required:

• Master's or PhD in Industrial-Organizational Psychology, Organizational Behavior, or a related field - or equivalent applied experience
• 4-8 years in change management, internal or management consulting, HR transformation, org effectiveness, or related people and OD roles
• Demonstrated experience leading large-scale technology or digital transformation from the people side
• Strong grasp of change management frameworks and ability to adapt them to AI contexts
• Experience in role design, job architecture, or organizational assessment
• Ability to build trust and credibility with business unit leaders and frontline employees as a consultative thought partner
• Data literacy with comfort using adoption metrics and workforce analytics to drive decisions
• Personal proficiency with AI tools and genuine enthusiasm for AI-augmented work

• Experience embedded in a business unit or in a client-facing consulting capacity (not just HR or CoE roles)
• Exposure to agentic AI, automation workflow design, or human-in-the-loop process redesign
• Background in learning & development or capability-building at scale
• Applied experience in assessment, survey design, or behavioral measurement
• Industry knowledge aligned to the target business unit
• Certification or coursework in AI transformation leadership

The compensation range indicated in this posting reflects the On-Target Earnings (“OTE”) for this role, which includes a base salary and any applicable target bonus amount. This OTE range may vary based on the candidate’s relevant experience, qualifications, and geographic location.

Why AHEAD:

Through our daily work and internal groups like Moving Women AHEAD and RISE AHEAD, we value and benefit from diversity of people, ideas, experience, and everything in between.

We fuel growth by stacking our office with top-notch technologies in a multi-million-dollar lab, by encouraging cross department training and development, sponsoring certifications and credentials for continued learning.

• Assess BU-level AI fluency and identify skill gaps across functions, levels, and workforce segments
• Commission or co-design targeted learning programs — technical, workflow, and mindset
• Integrate AI capability-building into daily workflows, not just stand-alone training events
• Develop manager enablement specifically for leading AI-augmented teams
• Track and report on capability uplift against BU transformation milestones