
AI Adoption Lead
AHEAD
🇺🇸 United States
Remote
Staff / Principal
2 months ago
$110,000 – $150,000 / year
- AI
- Change Management
- Equity
- Pension
2 months ago
Not enough detail in this posting to match
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). Reporting to 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
- 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
- Conduct systematic task deconstruction across BU roles to identify what 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
- Identify roles at risk of displacement and proactively design transition pathways
- 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
- 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
- Coach and equip managers to lead AI-augmented teams, orchestrating humans and AI agents together, not just using AI tools themselves
- Run dedicatedBU manager learning programs focused on judgment, coaching, and human–AI workflow oversight
- Own the BU's AI adoption measurement framework, design and 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 theHive Transformation Office to inform org-wide strategy
AI Change Strategy & Adoption
Role & Job Redesign
Capability & Skill Building
Culture & Responsible AI
Manager Enablement
Adoption Measurement & Intelligence
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
- Personalproficiency 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 orCoE 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
Preferred:
AI Adoption Lead · AHEAD