Director, Enterprise AI & Data Science

6090-Johnson & Johnson Services Inc. Legal Entity

Raritan (NJ)

On-site

USD 150,000 - 300,000

Full time

2 days ago

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Benefits offered by this job

Vacation 120 hours/year

Sick time 40 hours/year (Colorado/WA:

Holiday pay

Job summary

DePuy Synthes, part of Johnson & Johnson, is seeking a Director of Technology Management to lead enterprise Data Science and AI initiatives from New Brunswick, NJ. You will manage a team of AI professionals, partner with business leaders, and drive the adoption of scalable AI solutions across R&D, manufacturing, and commercial functions.

The role requires hands-on leadership, deep ML/AI expertise, and a track record in governance, risk management, and regulatory compliance within

Qualifications

10+ years of relevant experience in Data Science, Artificial Intelligence, Machine Learning, Advanced Analytics, or related fields.
Demonstrated 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.
Strong proficiency with modern AI and data platforms such as Databricks, AWS, Azure, SageMaker, vector databases, orchestration frameworks, and GenAI ecosystems.

Responsibilities

Lead the 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 a team of Full‑Stack Data Engineers (FDEs), Data Scientists, ML Engineers, and AI practitioners, fostering a culture of innovation, accountability, and continuous learning.
Partner with business and functional leaders to identify, prioritize, and deliver high-value analytics and AI use cases aligned to enterprise objectives.
Translate business challenges into scalable AI, machine learning, and advanced analytics solutions that drive measurable business outcomes.
Lead the design, development, deployment, and operationalization of predictive, prescriptive, and generative AI solutions.
Establish delivery roadmaps, success metrics, and value realization frameworks for Data Science and AI initiatives.
Serve as the operational owner of the Enterprise AI Governance Board, coordinating governance processes, use case reviews, risk assessments, and approval workflows.
Ensure AI solutions comply with enterprise governance standards, Responsible AI principles, model validation requirements, privacy expectations, and regulatory obligations.
Collaborate with Enterprise Data, Architecture, Security, Privacy, Legal, and Quality teams to ensure AI solutions are scalable, secure, and compliant.
Drive adoption of AI platform capabilities, reusable components, model development standards, and MLOps/LLMOps best practices.
Establish and monitor AI model performance, accuracy, explainability, drift detection, and operational metrics.
Provide technical leadership and guidance 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 on enterprise platforms.
Evaluate emerging AI technologies, tools, frameworks, and vendors, providing recommendations for adoption and experimentation.
Present program status, value realization, risks, and strategic recommendations to senior leadership and governance forums.