This listing doesn't post a salary. Most similar roles pay
$184,737–$278,212.
Based on 240 similar postings.
Employer
About Johnson & Johnson
Johnson & Johnson is a multinational corporation operating in three main segments: consumer health products, pharmaceuticals, and medical devices, known for brands like Tylenol, Band-Aid, and Janssen. Industry: Pharmaceuticals & Medical Devices
Johnson & Johnson currently has
38 open roles
on FindRole.
Listed pay typically runs
$117,000–$201,250
across 36 roles with salary data.
Senior Director, Global AI Fluency leads the global AI fluency strategy for the Global Commercial Strategy Organization. This role is responsible for establishing the enterprise capability agenda, operating model, and governance approach required for commercial teams to utilize artificial intelligence responsibly and at scale. The individual will design and scale a comprehensive ecosystem including role-based learning journeys, certifications, and communities of practice focused on generative AI, agentic AI, and digital productivity tools. Key responsibilities include managing the AI fluency budget, overseeing investment prioritization, and driving change management to integrate AI into everyday workflows. The position requires expertise in data science, organizational psychology, and learning sciences to translate emerging technologies into measurable business outcomes. This role addresses the challenge of fostering widespread AI adoption while ensuring compliance with privacy, security, and healthcare regulations within a complex, regulated environment.
Define and lead the global AI fluency strategy and multi-year roadmap for the Global Commercial Strategy Organization.
Establish the enterprise capability framework, including proficiency standards, operating models, and governance approaches for responsible AI use.
Design and scale a comprehensive AI ecosystem featuring role-based learning journeys, certifications, and communities of practice.
Drive organizational change management by identifying priority workflows and embedding AI into daily work processes to ensure behavior change.
Translate advanced technologies like generative and agentic AI into measurable business outcomes and productivity gains.
Manage the AI fluency budget, including investment prioritization, resource allocation, vendor engagement, and ROI measurement.
Build and manage strategic relationships with internal and external partners to integrate innovative AI solutions into the organization.
Establish governance, measurement frameworks, and executive reporting for AI adoption across various business units.
What we're looking for
Bachelor's degree required.
Advanced degree in business, organizational psychology, learning sciences, data science, artificial intelligence, technology management, or a related field (preferred).
Experience leading global, enterprise-scale transformation, digital/AI adoption, capability building, and change management in complex, regulated, matrixed environments.
Strong understanding of generative AI, agentic AI, digital productivity tools, enterprise adoption models, and responsible AI principles.
Ability to translate emerging technology into practical, role-based adoption strategies and measurable business value.
Experience developing global capability frameworks, learning strategies, change plans, governance models, and adoption measurement approaches.
Demonstrated executive influence, facilitation, and communication skills to align senior stakeholders and drive enterprise decisions.
Strong analytical, program management, portfolio prioritization, and budget stewardship skills.
Generative AI
LLMs
Agentic AI
AI Platforms
Enterprise Architecture
Cloud Platforms
Data Ecosystems
Software Development
Automation
Intelligent Workflows
Governance Models
Management Consulting
Generative AI
Agentic AI
LLMs
NLP
Machine Learning
RAG
Prompt Engineering
Data Science
Advanced Analytics
CRM
Veeva
Salesforce
Marketing Technology
Data Visualization
Data Analysis
Data Science
Artificial Intelligence
Generative AI
Agentic Workflows
Python
R
SQL
Cloud Platforms
Machine Learning
Digital Health
Workflow Automation
Real-World Data
Imaging
Omics
Analytics
Data Platforms
Agentic AI
LLM
Machine Learning
PyTorch
Huggingface
VectorDBs
Nemo Guardrails
AWS
Model Evaluation
Similarity Search
AI Infrastructure
SaaS
Open Source