This listing doesn't post a salary. Most similar roles pay
$193,000–$268,728.
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
46 open roles
on FindRole.
Listed pay typically runs
$117,000–$201,250
across 42 roles with salary data.
Senior Director, Global Commercial Data Platforms & AI Engineering leads the global commercial data platform and ecosystem strategy within the Innovative Medicine division. This leader defines the long-term roadmap for data architecture, products, and democratization while advancing AI-readiness to support agentic solutions and enhance decision-making across the organization. The role involves building scalable AI engineering capabilities, establishing MLOps and AIOps standards, and managing infrastructure for cloud-based analytics. Key responsibilities include overseeing data integration, ensuring compliance with privacy regulations, and fostering a high-performing team of engineers and architects. The position requires expertise in enterprise data architecture, generative AI, large language models, and common data modeling. Technical proficiency includes Snowflake, Databricks, Azure, and AWS. This role solves the challenge of delivering secure, reusable, and scalable data products to accelerate commercial engagement and innovation within the pharmaceutical and healthcare sectors.
Define and execute the long-term strategy for global commercial data platforms, including architecture, quality, and scalability.
Build and scale AI engineering capabilities to operationalize machine learning, generative AI, and agentic AI solutions.
Establish reusable frameworks, model deployment standards, and platform services to accelerate the development of AI products.
Lead engineering teams in managing data integration, cloud infrastructure, MLOps, AIOps, and production deployments.
Partner with internal business units to identify opportunities where data and automation drive measurable commercial impact.
Build and develop a high-performing organization of data engineers, AI engineers, architects, and technical leaders.
Serve as a senior advisor on AI governance, platform strategy, and data architecture decisions for the enterprise.
Manage external partnerships with technology vendors and lead pilot programs to evaluate emerging technologies.
What we're looking for
An advanced degree in Computer Science, Data Science, Engineering, Statistics, Applied Mathematics, Information Systems, or a related quantitative discipline is required.
Candidates must have at least 12 years of experience in data, analytics, AI, software engineering, platforms, or technology leadership.
Deep expertise in enterprise data architecture, cloud platforms, and modern analytics ecosystems is required.
Significant experience is required in designing and deploying AI/ML solutions, including generative AI, large language models, and agentic AI systems at scale.
Proven leadership experience is required for building and scaling data engineering, machine learning engineering, or AI engineering organizations.
Candidates must possess strong knowledge of data governance, privacy, security, and responsible AI practices.
Ability to translate business strategy into technology capabilities and influence senior executives in a complex matrixed organization is required.
Experience with enterprise data ecosystems such as Snowflake, Databricks, Azure, or AWS is preferred.
Data Management
Data Architecture
Analytics
AI
Machine Learning
Master Data Management
Data Governance
Cloud Platforms
Business Intelligence
Data Modeling
Automation
GxP
NIST AI RMF
ISO 42001
Data Quality
AI
Machine Learning
Generative AI
Advanced Analytics
Python
R
Scala
Java
Databricks
AWS
Azure
MLOps
Causal Inference
Optimization
Predictive Modeling
Data Engineering
Model Governance