Associate Director, AI Next Frontiers

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

Associate Director, AI Next Frontiers role at Johnson & Johnson focused on shaping, building, and scaling next-generation AI capabilities, specifically Generative AI and Agentic AI, for Marketing, Patient, and Commercial Operations within the US Pharmaceutical organization. The role involves leading end-to-end AI product development, translating business needs into AI solutions, collaborating with cross-functional teams, and ensuring alignment with regulatory standards. Requires strong expertise in modern AI technologies including LLMs, Agentic AI, NLP, and hands-on experience with LLM applications, prompt engineering, RAG, and/or AI agents.

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. Drive cross-functional collaboration with stakeholders across Marketing, Sales, Patient Services, Commercial Operations, and Medical Affairs.
  4. Partner with data science, engineering, and design teams to deliver production-ready AI solutions integrated into the Engagement.AI ecosystem (WithMe CRM and Connext).
  5. Support evaluation and management of external AI vendors, platforms, and strategic partnerships across all three pillars.

Skills

Required

  • 7+ 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 audience.

Nice to have

  • 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

  • AI-driven transformation initiatives
  • Generative AI
  • Agentic AI systems
  • LLM applications
  • prompt engineering
  • RAG architectures
  • AI agents

Other signals

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