Manager, AI Next Frontiers

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

Manager role focused on shaping, building, and scaling next-generation AI capabilities, specifically Generative AI and Agentic AI, for Marketing and Field Engagement within the US Pharmaceutical organization. The role involves leading end-to-end AI product development, translating business needs into AI solutions, and ensuring alignment with regulatory standards.

What you'd actually do

  1. Lead end-to-end AI product development across Marketing and Field Engagement functions, including ideation, design, development, deployment, and performance measurement.
  2. Translate business needs from Marketing, Field Engagement, and Commercial Excellence stakeholders into scalable AI-driven solutions and product opportunities.
  3. Partner with data science, engineering, and design teams to deliver production-ready AI solutions integrated into the Engagement.AI ecosystem (WithMe CRM and Connext).
  4. Support evaluation and management of external AI vendors, platforms, and strategic partnerships across Marketing and Field Engagement pillars.
  5. Establish and contribute to best practices for AI product development, experimentation, and scaling across the commercial organization.

Skills

Required

  • PhD or Master’s degree
  • 5+ years of experience in AI, machine learning, data science, marketing technology, commercial analytics, or advanced analytics
  • Demonstrated experience leading AI-driven transformation initiatives
  • Strong expertise in modern AI technologies including Generative AI (LLMs), Agentic AI systems, NLP, and machine learning
  • Hands-on experience with LLM applications, prompt engineering, RAG architectures, and/or AI agents
  • Ability to translate complex business needs into AI product strategies and scalable solutions
  • Experience collaborating with cross-functional teams
  • Experience evaluating or working with external AI vendors and enterprise AI platforms
  • Excellent communication, storytelling, and stakeholder influence skills

Nice to have

  • Advanced degree in Data Science, Computer Science, Statistics, Engineering, Marketing Analytics, Business Analytics, or related field
  • Pharma, healthcare, or regulated industry experience
  • Familiarity with CRM platforms (e.g., Veeva, Salesforce), omnichannel marketing ecosystems, field engagement platforms, and commercial execution workflows

What the JD emphasized

  • AI-driven transformation initiatives
  • Generative AI (LLMs)
  • Agentic AI systems
  • LLM applications
  • prompt engineering
  • RAG architectures
  • AI agents
  • regulatory
  • privacy
  • ethical
  • medical/legal/regulatory (MLR) standards

Other signals

  • Generative AI
  • Agentic AI
  • LLM applications
  • RAG architectures
  • AI agents