Senior AI Product Manager – Data & Insights Platforms

Johnson & Johnson Co.; Titusville (NJ); On-site; USD 109,000 - 175,000; Full time

Benefits offered by this job

Healthcare benefits

Retirement plan (401(k))

Paid time off

Job summary

Johnson & Johnson is seeking a Lead, Technology Product Management – AI, Data & Insights to join our Data & Insights Product Group in Titusville, NJ. This role blends technical product ownership with hands-on engineering to deliver scalable AI-enabled analytics platforms that transform pharmaceutical operations and enable data-driven decision making.

The ideal candidate will have a strong background in data science, data engineering, cloud technologies, and Agile methodologies, with the ability

Qualifications

• Bachelor’s degree required in a technical field; Master’s preferred.
• Proven experience deploying AI/GenAI in production.
• Strong knowledge of data analytics, data modeling, and BI tools.

Responsibilities

• Define and communicate product vision for AI/GenAI-enabled analytics platforms.
• Prioritize features backlog aligned with business strategy.
• Own total cost of ownership including vendors and services.
• Drive adoption, retention, and customer satisfaction of analytics products.
• Lead Technical Product Owner responsibilities with hands-on involvement in AI solutions.
• Ensure architecture and delivery of GenAI capabilities using cloud stacks (AWS/Azure).

Skills

Artificial Intelligence

Data Analysis

Data Visualization

Problem Solving

Communication

Education

Bachelor's degree in Computer Science, Information Technology, Information Systems, Statistics, Data Science, or equivalent

Master's degree preferred

Tools

Python

LangChain

Tableau

Power BI

AWS/Azure

CI/CD

Job description

Johnson & Johnson is seeking a Lead, Technology Product Management – AI, Data & Insights to join our Data & Insights Product Group in Titusville, NJ. This role blends technical product ownership with hands-on engineering to deliver scalable AI-enabled analytics platforms that transform pharmaceutical operations and enable data-driven decision making.

The ideal candidate will have a strong background in data science, data engineering, cloud technologies, and Agile methodologies, with the ability