AI-Driven Analytics Product Lead

Johnson & Johnson

Titusville (NJ)

On-site

USD 109,000 - 175,000

Full time

4 days ago
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Job summary

Johnson & Johnson is seeking a Lead, Technology Product Management – AI, Data & Insights to join our Data & Insights Product Group located in Titusville, NJ. The role blends technical product ownership with hands-on engineering to deliver scalable AI-enabled analytics solutions that transform pharma operations.

You will collaborate with IT peers, data scientists, and business partners to define strategy, manage backlog, and ensure rapid delivery of high-impact analytics platforms across the

Qualifications

  • Bachelor’s degree in CS/IT/IS or related field; master preferred.
  • 3+ years in data and insights technology product development.
  • Proven experience deploying LLMs, AI agents, GenAI-powered apps.
  • Strong Python and cloud-native AI services knowledge.
  • Experience leading data engineering and data science solutions.

Responsibilities

  • Define and communicate AI/GenAI analytics platform vision.
  • Prioritize features and manage product backlog.
  • Own ROI, TCO, and value realization for products.
  • Lead technical product ownership and hands-on AI delivery.
  • Architect GenAI capabilities on AWS/Azure stack.
  • Collaborate with data scientists and engineers.
  • Drive adoption, measurement, and customer satisfaction.
  • Lead cross-functional, agile delivery teams.

Skills

AI/GenAI
Data science
Cloud technologies
Python
LLMs

Education

Bachelor's degree in Computer Science / Information Technology / Information Systems
Master's degree preferred

Tools

AWS
Azure
Bedrock
SageMaker
OpenAI

Job description

Johnson & Johnson is seeking a Lead, Technology Product Management – AI, Data & Insights to join our Data & Insights Product Group located in Titusville, NJ. The role blends technical product ownership with hands-on engineering to deliver scalable AI-enabled analytics solutions that transform pharma operations.

You will collaborate with IT peers, data scientists, and business partners to define strategy, manage backlog, and ensure rapid delivery of high-impact analytics platforms across the

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