Senior Director, Data Science & AI, Orthopedics

Johnson & Johnson

Confirmed live yesterday High trust
Hybrid

Quick summary

Work type
Hybrid
Location
Raritan, NJWest Chester, PAPalm Beach Gardens, FLWarsaw, INRaynham, MA
Salary
$196,000–$342,700 / yr
Employment
Full-time
Posted
4 days ago
Freshness
Confirmed live yesterday
Closes
Oct 30, 2026

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $252k
This role $269k
$175k most similar roles pay here $361k

This role pays more than 62% of similar roles. Most pay $215,500–$288,650 — the shaded band above. At the midpoint, this role pays about $269k versus about $252k for comparable roles.

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 37 open roles on FindRole.

Listed pay typically runs $117,000–$201,250 across 36 roles with salary data.

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View all roles at Johnson & Johnson

At a glance

TL;DR · Senior Director, Data Science & AI, Orthopedics

The Sr. Director, Data Science & AI provides strategic and operational leadership for enterprise-wide data science and artificial intelligence capabilities supporting DePuy Synthes. Reporting to the Chief Data and AI officer, this role involves shaping the organization’s strategy, standing up an AI Hub, establishing technical standards, and building a high-performing team across R&D, Supply Chain, Manufacturing, Quality, Commercial, and Corporate functions. The position requires a hands-on technologist to manage the AI tech stack, including cloud ML platforms like Databricks, Snowflake, or Sagemaker, alongside vector database orchestration and GenAI provider ecosystems such as Anthropic and OpenAI. Key responsibilities include developing governance frameworks for model risk management, ensuring compliance with GxP and 21 CFR Part 11, and implementing predictive analytics. The role addresses the challenge of delivering scalable, safe, and defensible AI solutions within a regulated MedTech environment.

What you'll do

  • Define and lead the enterprise Data Science and AI strategy, roadmap, and investment across machine learning, generative AI, and agentic AI.
  • Build and lead a high-performing team by hiring top talent and establishing clear roles and career paths.
  • Stand up and operate an enterprise AI hub featuring shared platforms, reusable patterns, and delivery accelerators.
  • Establish technical standards and reference architectures for generative AI, including orchestration frameworks and retrieval patterns.
  • Manage the AI technology stack and vendor ecosystem, including build vs. buy decisions and commercial negotiations.
  • Design and operationalize a comprehensive AI governance framework to ensure compliance with GxP, 21 CFR Part 11, and data privacy laws.
  • Partner with business leaders to identify, prioritize, and deliver high-value analytics and AI use cases across the organization.
  • Track performance and value realization of AI initiatives to drive continuous improvement and innovation.

What we're looking for

  • Bachelor’s degree required in Data Science, Computer Science, Engineering, Mathematics, Statistics, or a related field.
  • Master’s degree or PhD preferred.
  • 12-14 years of relevant work experience including senior leadership in data science, advanced analytics, or AI.
  • Deep expertise in the AI/ML landscape, including classic ML, Deep Learning, generative AI/LLMs, and agentic architectures.
  • Demonstrated expertise in MLOps/LLMOps and production AI at enterprise scale.
  • Working fluency with modern AI/data stacks such as Databricks, Snowflake, Sagemaker, vector databases, and GenAI providers.
  • Experience in healthcare, medical technology, life sciences, or regulated industries (preferred).
  • Experience establishing AI governance, ethics frameworks, and model risk management (preferred).

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