Manager, AI Next Frontier

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

Manager, AI Next Frontier role at Johnson & Johnson focused on leading the development and deployment of Generative AI and Agentic AI solutions for Marketing, Patient, and Commercial Operations within the US Pharmaceutical organization. The role involves end-to-end product development, translating business needs into AI solutions, partnering with data science and engineering teams, and managing external AI vendors. Emphasis on creating intelligent, personalized, and scalable experiences for stakeholders.

What you'd actually do

  1. Lead end-to-end AI product development across all three pillars, including ideation, design, development, deployment, and performance measurement.
  2. Translate business needs from Marketing, Patient, and Commercial Operations 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 all three pillars.
  5. Establish and contribute to best practices for AI product development, experimentation, and scaling across the commercial organization.

Skills

Required

  • 5+ years of experience in AI, machine learning, data science, marketing technology, commercial analytics, or advanced analytics.
  • Demonstrated experience leading AI-driven transformation initiatives across one or more of the following: marketing, patient services, or commercial operations.
  • 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 across marketing, patient, and commercial operations domains into AI product strategies and scalable solutions.
  • Experience collaborating with cross-functional teams across business and technical domains.
  • Experience evaluating or working with external AI vendors and enterprise AI platforms.
  • Excellent communication, storytelling, and stakeholder influence skills across both technical and executive audiences.

Nice to have

  • PhD or Master’s degree required.
  • Advanced degree in Data Science, Computer Science, Statistics, Engineering, Marketing Analytics, Business Analytics, or related field preferred.
  • Pharma, healthcare, or regulated industry experience preferred.
  • Familiarity with CRM platforms (e.g., Veeva, Salesforce), omnichannel marketing ecosystems, and patient hub operations is a plus.

What the JD emphasized

  • Generative AI
  • Agentic AI
  • LLM applications
  • prompt engineering
  • RAG architectures
  • AI agents
  • Pharma, healthcare, or regulated industry experience

Other signals

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