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AI Adoption Lead

AHEAD
USD 130,000 - 150,000 / year

About this role

Job title: AI Adoption Lead

About the Role The AI Adoption Lead is AHEAD's embedded human answer to the gap between AI deployment and realized value. This BU-focused transformation role blends change management, org design and workforce strategy to ensure the BU'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. Reporting to the VP, Talent and Workforce Transformation, this role drives business unit-level AI adoption and responsible AI practices.

What You'll Do

  • Partner with the OCM team to design and execute 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
  • Define AI-augmented job families and career pathways with BU leaders
  • Identify roles at risk of displacement and proactively design transition pathways
  • Partner with job architects and compensation teams to update role-leveling frameworks
  • Assess BU-level AI fluency and identify skill gaps; commission or co-design targeted learning programs
  • Integrate AI capability-building into daily workflows and develop manager enablement for AI-augmented teams
  • Track and report capability uplift against transformation milestones
  • Build a dynamic skills supply/demand picture accounting for humans and AI agents
  • Inform build/buy/borrow/automate decisions for critical gaps; support scenario planning for headcount and structure as AI scales
  • Advise on organizational design changes — spans, layers, team composition, and human–agent workflow
  • Pilot new operating models, such as human-in-the-loop decision flows; share patterns for replication
  • Cultivate culture of active participation and embed responsible AI practices into team norms
  • Run BU manager learning programs focused on judgment, coaching, and oversight of human–AI workflows
  • Own the BU's AI adoption measurement framework; design metrics and partner with eTech for accessible data
  • Surface informal/shadow AI use and channel into governed adoption; track health across segments
  • Feed BU insights to the Hive Transformation Office to inform enterprise strategy

What We're Looking For

  • Proven experience leading AI adoption, organizational change management, or transformation at the BU level
  • Strong stakeholder engagement, communication, and influence across executives and frontline managers
  • Experience in role design, capability-building, learning program development, and manager enablement
  • Ability to design and monitor adoption metrics, analyze uptake data, and translate insights into interventions
  • Knowledge of responsible AI practices, governance, and human-in-the-loop workflows
  • Comfortable with workforce planning, scenario planning, and cross-functional collaboration
  • Strategic thinker with the ability to operate in ambiguous, evolving AI-enabled environments

Nice to Have

  • Prior BU-level AI adoption experience in large enterprises
  • Background in OCM, org design, and data-driven decision making
  • Experience with AI/automation in technology or digital services environments

Compensation & Benefits

  • Salary range: $130,000 - $150,000 yearly (OTE includes base plus target bonus)
  • USA benefits: Medical, Dental, Vision; 401(k); paid holidays; paid time off; paid parental and caregiver leave
  • Additional perks: access to a multi-million-dollar tech lab and continuous learning opportunities

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