Director, Data Science and AI

Johnson & Johnson

. Lead enterprise 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. Proven ability to manage cross-functional teams, ensure compliance with governance standards, and deliver high-value AI-driven business outcomes.

Highest-signal resume keywords

Data Science LeadershipMachine Learning ExpertiseGenerative AI SolutionsMLOps 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/ML Solution DeploymentModel Lifecycle ManagementAutomationMonitoringData ScienceAdvanced Analytics

Soft Skills

Strong CommunicationStakeholder ManagementTeam Leadership

Tools & Technologies

DatabricksAWSAzureSageMakerVector DatabasesOrchestration FrameworksGenAI Ecosystems

Industry Keywords

AI GovernanceResponsible AIModel Risk ManagementExplainabilityCompliance Requirements

Tech Stack

Tools & technologies

AWSAzure

About the role

Key responsibilities & impact

Lead enterprise 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
Identify, prioritize, and deliver high-value analytics and AI use cases with business and functional leaders
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 compliance 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 platforms, reusable components, model development standards, and MLOps/LLMOps 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 in 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 deliver AI-driven business outcomes
Understanding of AI governance, Responsible AI, 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

Benefits

Comp & perks

Inclusive work environment
Employee wellness, career, and life journey support
Reasonable accommodation support for applicants with disabilities
Equal opportunity employment