Associate Director, AI Next Frontier

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

Associate Director, AI Next Frontier role at Johnson & Johnson focused on leading end-to-end AI product development using Generative AI and Agentic AI for Marketing, Patient, and Commercial Operations within the US Pharmaceutical organization. The role involves translating business needs into AI solutions, driving cross-functional collaboration, and ensuring alignment with regulatory standards.

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.
  5. Ensure all AI initiatives align with regulatory, privacy, ethical, and medical/legal/regulatory (MLR) standards.

Skills

Required

  • PhD preferred, Master’s degree required.
  • Advanced degree in Data Science, Computer Science, Statistics, Engineering, Marketing Analytics, Business Analytics, or related field preferred.
  • 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 audiences.

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

  • Generative AI
  • Agentic AI
  • 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