Head, Practice Area Programming - AI/GenAI and Enterprise Capabilities

This global enterprise leadership role operates as a strategist, executive advisor, and change leader—translating business priorities, workforce needs, risk requirements, and technology trends into a measurable, multi-year capability portfolio. Leading a team of three direct reports and a broader partner ecosystem, the role defines the learning strategy, establishes outcomes and measurement, and drives adoption at scale.

Key Responsibilities

• Define and lead the enterprise capability roadmap for AI and critical future skills, aligning learning investments to business strategy, workforce transformation priorities, and J&J's Leadership Behaviors.
• Set the enterprise-wide capability strategies and outcomes for AI Literacy, AI Fluency and other priority capabilities.
• Own the measurement strategy, inclusive of defining metrics and experimental approaches that validate sustained behavior change.
• Design and deliver scalable, end-to-end learning journeys for the applicable practice areas.
• Oversee responsible AI learning governance in partnership with Legal, Compliance, Privacy, and Security.
• Activate enterprise adoption through AI Accelerators and other amplification mechanisms.
• Drive a coordinated enterprise upskilling approach across all capability owners.
• Lead a high-performing team and manage budget and vendor strategy.
• Serve as a trusted advisor to senior leaders and steward of the external ecosystem.

Required Qualifications

• Bachelor's degree required.
• 12+ years of progressive experience including 5+ years as a people leader.
• Deep subject matter expertise and experience launching AI/GenAI/Digital and other enterprise-wide initiatives at scale with measurable business impact.
• Strong fluency in AI and GenAI concepts and implications for work and the ability to translate for executives and non-technical audiences.
• Executive presence and influence: proven ability to align senior stakeholders, drive decisions, and navigate ambiguity and competing priorities.
• Financial and operational stewardship: experience owning budgets, managing vendors, and running portfolios with disciplined measurement and reporting.
• Data-driven approach to capability building: define metrics, interpret learning/skills data, and apply insights to improve outcomes.
• Exceptional communication and change leadership skills; able to mobilize adoption at global scale.

Preferred Qualifications

• Master's degree (e.g., MBA, MS).
• Experience launching enterprise-scale programs across multiple regions.
• Familiarity with responsible AI and AI governance topics and translating guardrails into practical employee behaviors.