Director, Data Science – AI

Johnson & Johnson

. Lead execution of Data Science, Machine Learning, Generative AI, and Agentic AI initiatives across R&D, Supply Chain, Manufacturing, Quality, Commercial, and Corporate functions .

Posted 10/15/2026full-timeUnited StatesLead💰 $150,000 - $258,750 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in leading Data Science and AI initiatives, with a strong focus on machine learning, generative AI, and advanced analytics solutions. Proven ability to manage cross-functional teams, establish AI governance frameworks, and deliver high-value business outcomes through scalable AI applications.

Highest-signal resume keywords

Data Science LeadershipMachine Learning ExpertiseGenerative AI SolutionsMLOps Best PracticesAI Governance Compliance

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Machine LearningDeep LearningGenerative AILarge Language Models (LLMs)AI Application DevelopmentModel Lifecycle ManagementAutomationPredictive AnalyticsPrescriptive AnalyticsAdvanced Analytics

Soft Skills

Strong CommunicationStakeholder ManagementTeam Leadership

Tools & Technologies

DatabricksAWSAzureSageMakerVector DatabasesOrchestration FrameworksGenAI Ecosystems

Industry Keywords

AI GovernanceResponsible AIModel Risk ManagementData PrivacyHealthcareMedical TechnologyLife SciencesRegulated Industries

Tech Stack

Tools & technologies

AWSAzureCloud

About the role

Key responsibilities & impact

Lead execution of Data Science, Machine Learning, Generative AI, and Agentic AI initiatives across R&D, Supply Chain, Manufacturing, Quality, Commercial, and Corporate functions
Manage and mentor Full-Stack Data Engineers, Data Scientists, ML Engineers, and AI practitioners
Partner with business and functional leaders to identify, prioritize, and deliver high-value analytics and AI use cases
Translate business challenges into scalable AI, machine learning, and advanced analytics solutions
Lead design, development, deployment, and operationalization of predictive, prescriptive, and generative AI solutions
Establish delivery roadmaps, success metrics, and value realization frameworks
Serve as operational owner of the Enterprise AI Governance Board, coordinating governance processes, use case reviews, risk assessments, and approval workflows
Ensure AI solutions comply with governance standards, Responsible AI principles, model validation requirements, privacy expectations, and regulatory obligations
Collaborate with Data, Architecture, Security, Privacy, Legal, and Quality teams
Drive adoption of AI platform capabilities, reusable components, model development standards, and MLOps/LLMOps best practices
Monitor AI model performance, accuracy, explainability, drift detection, and operational metrics
Provide technical leadership on machine learning algorithms, agentic AI architectures, LLMs, orchestration frameworks, vector databases, and AI application development
Partner with Data Engineering and Platform teams to enable scalable data foundations and modern AI capabilities
Evaluate emerging AI technologies, tools, frameworks, and vendors
Present program status, value realization, risks, and strategic recommendations to senior leadership and governance forums

Requirements

What you’ll need

Bachelor’s degree required in Data Science, Computer Science, Engineering, Mathematics, Statistics, or a related field
10+ years of relevant experience in Data Science, Artificial Intelligence, Machine Learning, Advanced Analytics, or related fields
Experience leading Data Science, AI, or advanced analytics teams in a complex enterprise environment
Strong expertise across machine learning, deep learning, generative AI, large language models (LLMs), and agentic AI architectures
Hands-on experience building and deploying AI/ML solutions in production environments
Experience with MLOps, LLMOps, model lifecycle management, automation, and monitoring
Proficiency with Databricks, AWS, Azure, SageMaker, vector databases, orchestration frameworks, and GenAI ecosystems
Experience partnering with business stakeholders to identify, prioritize, and deliver AI-driven business outcomes
Understanding of AI governance, Responsible AI practices, model risk management, explainability, and compliance requirements
Ability to lead cross-functional teams and manage complex AI and analytics programs
Strong communication and stakeholder management skills
Experience managing globally distributed teams and working within matrixed organizations
English proficiency required
Up to ~20% domestic and international travel may be required
Preferred: experience in healthcare, medical technology, life sciences, or other regulated industries
Preferred: experience implementing Generative AI and Agentic AI solutions at enterprise scale
Preferred: familiarity with GxP, 21 CFR Part 11, SOX, data privacy, and regulated environment requirements
Preferred: experience establishing AI governance processes, operating models, and oversight mechanisms
Preferred: experience with cloud-native AI platforms and modern enterprise data ecosystems
Preferred: strong executive communication and storytelling skills using data and analytics
Preferred: experience leading cross-functional AI transformation initiatives with measurable business impact

Benefits

Comp & perks

Inclusive work environment
Employee wellness, career, and life support resources
Interview accommodations for applicants with disabilities
Equal opportunity employment