Senior Director, AI Enablement

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:

Horsham, Pennsylvania, United States of America, Raritan, New Jersey, United States of America, Titusville, New Jersey, United States of America

Job Description:

We are searching for the best talent for Senior Director, AI Enablement

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

Johnson & Johnson Innovative Medicine Technology is recruiting for the Senior Director, AI Enablement. The preferred location for this position is Titusville, NJ, with consideration given to Raritan, NJ, and Horsham, PA. This role may require up to 10% domestic and international travel.

Purpose:

Johnson & Johnson Innovative Medicine Technology is seeking an exceptional Artificial Intelligence Leader to accelerate safe, scalable adoption of AI, including generative and agentic AI, across North America (NA) commercial teams. In this role, you will shape the AI enablement strategy and operating model, translate priority business opportunities into an outcome-driven portfolio, and partner across Product, Data, AI Engineering and Data Science, Security, Privacy, Legal/Compliance, and business leaders to move solutions from concept to production and sustained value. You will tackle pressing business challenges across the Commercial Pharmaceutical value chain, including sales, marketing, medical, patient engagement, and financial operations. You will build and lead a high-performing team of AI-first technologists who combine deep technical fluency with pragmatic delivery to improve how we engage customers, support patients, and run critical commercial workflows, connecting core AI capabilities to end-user facing AI solutions.

You will be responsible for:

• Defining and leading the NA Commercial AI Enablement strategy and operating model, including intake, prioritization, delivery governance, and value realization for an enterprise portfolio of AI products and capabilities.

• Partnering with business leaders to identify high-impact opportunities across sales, marketing, omnichannel execution, customer engagement, patient support, and core commercial operations; translate them into clear problem statements, success metrics, and roadmaps.

• Leading delivery of AI solutions across the buy/borrow/build continuum, selecting fit-for-purpose approaches (platform capabilities, vendor solutions, and custom builds) and ensuring reliable handoffs from pilot to scale and run-state.

• Champion responsible AI by embedding governance, security, privacy, and compliance-by-design into AI patterns and workflows, including human-in-the-loop practices, documentation, model monitoring, and auditability appropriate for regulated environments.

• Building and leading a team of AI-first leaders and practitioners (e.g., applied scientists, AI solution engineers, product/solution leads), providing coaching, technical mentorship, and talent development to drive retention and career growth.

• Establish scalable delivery patterns for GenAI and agentic systems (e