Senior Manager, 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:

Titusville, New Jersey, United States of America

Job Description:

We are searching for the best talent for Senior Manager, 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 a Senior Manager, AI Enablement. The primary location for this position is Titusville, NJ, with consideration given to Horsham, PA. This role may require up to 10% domestic and international travel.

Purpose:

Johnson & Johnson Innovative Medicine Technology is seeking a technologist with strong artificial intelligence experience to support the safe, scalable adoption of AI, including generative and agentic AI, across North America (NA) commercial teams. As Senior Manager, AI Enablement, you will play a critical role in realizing strategic NA Commercial priorities through the power of AI, translating key opportunities into well-articulated problem statements, requirements, and success criteria — partnering with AI platform team to deliver fit-for-purpose solutions with measurable business impact.

You will serve as a bridge between product, platform, and AI teams working seamlessly with business stakeholders—beginning with CRM and Patient Experience—using product management and design thinking practices to define clear problem statements, validate value propositions, and establish KPIs/OKRs that demonstrate value realization. You will lead day-to-day cross-functional delivery and adoption activities to move solutions from experimentation to scale, ensuring appropriate governance through structured demand intake, triage, and prioritization, and positioning capabilities to be reused and scaled across the portfolio in a compliant, responsible manner.

Key responsibilities

• Execute the AI enablement strategy by partnering with product, data, and AI platform teams to translate business priorities into clear problem statements, user needs, and outcome hypotheses, with explicit value propositions and measurable KPIs/OKRs.

• Serve as the day-to-day bridge between business stakeholders and Product, Data, AI Engineering, Data Sciences, and business teams, applying Product Management and Design Thinking principles to define clear problem statements, validate value propositions, and ensure business requirements are faithfully translated for AI delivery teams.

• Enable adoption and operationalization by partnering on change management (communications, training, UAT, rollout plans) and coordinating run-state handoffs; contribute business context and stakeholder requirements to build-vs-buy evaluations; support vendor engagement by articulating business needs and success criteria.

• Manage governance for a subset of AI demand by establishing structure for intake, triage, and prioritization (e.g., strategic alignment, value vs. effort, readiness, risk/compliance), surfacing business requirements