Lead, Technology Product Management – Ai, Data & Insights

Johnson & Johnson Johnson & Johnson · Pharma · Titusville, NJ +1

Lead Technology Product Manager for AI, Data & Insights role blends technical product ownership with hands-on engineering, focusing on the delivery of scalable commercial solutions including AI that transform pharma operations. The role requires architecting and building AI/GenAI capabilities, including LLMs, AI agents, and cloud-native data platforms, with fluency in data science, data engineering, and cloud technologies.

What you'd actually do

  1. Define and communicate product vision for AI/GenAI-enabled analytics platforms. Prioritize features that leverage GenAI to enhance commercial decision-making.
  2. Along with the Technical Product owner, define and communicate to key partners the product vision and strategy including new features and improvements for products in Data & Insights portfolio. They will identify and prioritize product features backlog in alignment with business strategy.
  3. Define business value, measurement of return on investment, and realization of business outcomes. They will own and manage total cost of ownership, including spend on vendors and services throughout product life cycle.
  4. Drive and measure adoption, retention, and customer satisfaction of Data Analytics products.
  5. Serve as Technical Product Owner with hands-on involvement in building AI/GenAI solutions.

Skills

Required

  • Product Management
  • AI/GenAI
  • LLMs
  • AI agents
  • Cloud-native data platforms
  • Data Science
  • Data Engineering
  • Cloud Technologies (AWS/Azure)
  • Retrieval-Augmented Generation (RAG)
  • Agentic workflows

Nice to have

  • Technical Product Ownership
  • Commercial Analytics Use Cases
  • Project Management

What the JD emphasized

  • hands-on involvement
  • architecting and building AI/GenAI capabilities
  • LLMs
  • AI agents
  • cloud-native data platforms
  • data science
  • data engineering
  • cloud technologies
  • production-grade solutions

Other signals

  • AI/GenAI capabilities
  • LLMs
  • AI agents
  • cloud-native data platforms
  • data science
  • data engineering
  • cloud technologies
  • production-grade solutions