Senior Director, Enterprise Data Science & AI

Johnson & Johnson Innovation; Massachusetts; On-site; USD 196,000 - 343,000; Full time

Job summary

Johnson & Johnson is seeking a Sr. Director of Data Science & AI to drive enterprise‑wide data science capabilities across DePuy Synthes.

The role leads strategy, governance, and a multi‑functional team to deliver AI solutions that enable data‑driven decisions while ensuring regulatory alignment in a regulated MedTech environment. The position reports to the Chief Data and AI officer and requires deep expertise in AI/ML, governance, and cross‑functional leadership, with travel as needed to

Qualifications

• 12-14 years of relevant work experience, including senior leadership experience in data science, advanced analytics, or AI.
• Deep current expertise in AI/ML Landscape; classic ML, Deep Learning, generative AI/LLMs and agentic architectures.
• Demonstrated expertise in MLOps/LLMOps and production AI at enterprise scale.
• Working fluency with the modern AI/data stack; e.g.-Databricks/Snowflake/Sagemaker or comparable platforms, vector database orchestration frameworks and GenAI provider ecosystem (Anthropic, openAI, etc.).

Responsibilities

• Define and lead the enterprise Data Science & AI strategy, roadmap and investment in alignment with business priorities and IT objectives, spanning machine learning, generative AI and agentic AI.
• Build, lead, and develop high‑performing Data Science and AI team. Hire top talent define roles and career paths and establish a culture of rigor, speed and accountability.
• Serve as a senior Technical voice for AI across the enterprise, translating business problems into AI opportunities and setting realistic expectations grounding into what technology can and cannot do.
• Stand up and operate the enterprise AI hub; Shared platform, reusable patterns. Model registry and delivery accelerators through which all AI use cases are built and deployed.
• Establish standards and reference architectures for generative and agentic AI, orchestration frameworks, retrieval patterns, semantic layers/knowledge graphs, agent action boundaries, observability and Human in the loop controls.
• Evaluate and manage the AI tech stack and vendor ecosystem (cloud ML platforms, GenAI Providers, data science tooling) including build vs buy decisions and commercial negotiations in partnership with procurement.
• Partner with business and functional leaders to identify, prioritize, and deliver high‑value analytics and AI use cases.
• Design and operationalize the enterprise AI governance framework; Model risk management, validation standards, explainability, bias and fairness testing, drift monitoring and audit trails.
• Partner with Quality, Regulatory, legal and privacy to ensure AI deployments meet GxP,21 CFR Part 11, SOX and data privacy obligations.
• Track and evaluate emerging AI capabilities( frontier models, Agentic frameworks, domain specific models) and bring the right one into enterprise.
• Oversee the design, development, and deployment of scalable data science and AI solutions, including predictive and prescriptive analytics.
• Establish governance, standards, and best practices for data science, AI model development, validation, and lifecycle management.
• Collaborate with enterprise data, digital, and IT teams to enable modern data platforms and advanced analytics capabilities.
• Track performance, value realization, and adoption of Data & AI initiatives, continuously driving improvement and innovation.

Skills

Advanced Analytics

Business Storytelling

Consulting

Critical Thinking

Data Modeling

Data Privacy Standards

Data Science

Digital Fluency

Digital Strategy

End to End Implementation

Global Market

Negotiation

Product Portfolio Management

Program Management

Quality Control

Strategic Thinking

Education

Bachelor’s degree in a related field

Master’s degree or PhD preferred

Job description

Johnson & Johnson is seeking a Sr. Director of Data Science & AI to drive enterprise‑wide data science capabilities across DePuy Synthes.

The role leads strategy, governance, and a multi‑functional team to deliver AI solutions that enable data‑driven decisions while ensuring regulatory alignment in a regulated MedTech environment. The position reports to the Chief Data and AI officer and requires deep expertise in AI/ML, governance, and cross‑functional leadership, with travel as needed to