Manager, AI Next Frontiers

At Johnson & Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal. Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity. Learn more at jnj.com

As guided by Our Credo, Johnson & Johnson is responsible to our employees who work with us throughout the world.  We provide an inclusive work environment where each person is considered as an individual.  At Johnson & Johnson, we respect the diversity and dignity of our employees and recognize their merit.

Job Function:

Data Analytics & Computational Sciences

Job Sub Function:

Data Science

Job Category:

People Leader

All Job Posting Locations:

Titusville, New Jersey, United States of America

Job Description:

We are searching for the best talent for Manager, AI Next Frontiers

About Innovative Medicine

Our expertise in Innovative Medicine is informed and inspired by patients, whose insights fuel our science-based advancements. Visionaries like you work on teams that save lives by developing the medicines of tomorrow.

Join us in developing treatments, finding cures, and pioneering the path from lab to life while championing patients every step of the way.

Learn more at https://www.jnj.com/innovative-medicine 

Purpose:

The Manager, AI Next Frontiers will serve as a key leader in shaping, building, and scaling next-generation AI capabilities across Marketing and Field Engagement within the US Pharmaceutical organization. This role is focused on reimagining commercial engagement through Generative AI and Agentic AI — enabling intelligent, personalized, and scalable experiences for HCP engagement, field teams, marketers, commercial and internal stakeholders

The Manager will contribute to the AI Next Frontiers roadmap, lead high-impact AI product initiatives across Marketing and Field Engagement functions, and drive the development and deployment of AI-powered solutions that unlock growth, efficiency, and innovation across the commercial enterprise.

You Will Be Responsible For: 

Marketing & Field Engagement Strategy & Execution

• Lead end-to-end AI product development across Marketing and Field Engagement functions, including ideation, design, development, deployment, and performance measurement. 

• Translate business needs from Marketing, Field Engagement, and Commercial Excellence stakeholders into scalable AI-driven solutions and product opportunities.

• Partner with data science, engineering, and design teams to deliver production-ready AI solutions integrated into the Engagement.AI ecosystem (WithMe CRM and Connext). 

• Support evaluation and management of external AI vendors, platforms, and strategic partnerships across Marketing and Field Engagement pillars.

• Establish and contribute to best practices for AI product development, experimentation, and scaling across the commercial organization. 

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

• Champion adoption of AI capabilities across Marketing and Field Engagement teams, fostering a culture of innovation and experimentation. 

Qualifications / Requirements: 

Education 

• PhD or Master’s degree required.

• Advanced degree in Data Science, Computer Science, Statistics, Engineering, Marketing Analytics, Business Analytics, or related field preferred. 

  

Experience & Skills 

• 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, omnichannel engagement, field engagement, CRM, or commercial operations.

• Strong expertise in modern AI technologies including Generative AI (LLMs), Agentic AI systems, NLP, and machine learning. 

• Hands-on ex