AI Adoption Lead

The AI Adoption Lead is AHEAD’s embedded human answer to the gap between AI deployment and realized value. This is a people-first, business-embedded transformation role, part change manager, part coach, and part internal consultant, dedicated to a specific business unit (BU). Reportingto the VP, Talent and Workforce Transformation, the AI Adoption Lead ensures that the business unit’s employees are genuinely ready to work alongside AI: with the right skills, redesigned roles, reimagined workflows, and the confidence to operate in a continuously evolving environment.

Duties/Responsibilities

AI Change Strategy & Adoption

• Design and consult on a BU-level AI change strategy, moving employees from AI experimenters to AI accelerators
• Develop and run stakeholder engagement plans, including resistance mapping and influence strategies
• Build a network of champions and superusers within the BU to sustain adoption momentum
• Monitor adoption signals and adjust interventions based on real-time uptake data
• Address employee anxiety and build psychological safety around AI-augmented work

Role & Job Redesign

• Conduct systematic task deconstruction across BU roles to identifywhat AI automates, augments, or creates
• Redesign job descriptions and role profiles to reflect new human-AI responsibilities
• Work with BU leaders to define new AI-augmented job families and career pathways
• Identifyroles at risk of displacement and proactively design transition pathways

Capability & Skill Building

• Assess BU-level AI fluency and identifyskill 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

Culture & Responsible AI

• Build a culture of active participation in AI transformation, not passive compliance
• Surface and address fear, mistrust, and equity concerns across BU employee groups
• Embed responsible AI practices,transparency, human validation, governance,into team norms

Manager Enablement

• Coach and equip managers to lead AI-augmented teams, orchestrating humansand AI agents together, not just using AI tools themselves
• Run dedicated BU manager learning programs focused on judgment, coaching, and human-AI workflow oversight

Adoption Measurement & Intelligence

• Own the BU's AI adoption measurement framework, designand instrument metrics, not just report on them
• Instrument and analyze adoption data (usage, frequency, depth) to make it accessible and actionable
• Surface informal and shadow AI use within the BU and channel it into governed, productive adoption
• Track adoption health across workforce segments including tenure, function, generation, and role level
• Feed BU intelligence upward into the Hive Transformation Office to inform org-wide strategy

Education and Experience

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 proficiencywith AI tools and genuine enthusiasm for AI-augmented work

Preferred:

• Experience embedded in a business unit or in a client-facing consulting capacity (not just HR or CoEroles)
• 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