AI Excellence, Decision Enablement Intern

Johnson & Johnson•Spring House, PA

3d•Onsite

About The Position

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. Decision Enablement SUMMER INTERN LOCATION: Horsham, PA SCHEDULE: Full-time ORGANIZATION: Global Regulatory Affairs (GRA) TEAM: RKPE, Decision Enablement DATES: June through mid-August REPORTS TO: Senior Manager, Decision Enablement Why This Role Matters What happens when decision enablement, data, process come together to help organizations make better decisions? The Decision Enablement team helps Global Regulatory Affairs transform complexity into actionable decisions. We connect business strategy, decision science, data, process excellence, and emerging technologies to help leaders make more informed, transparent, and scalable decisions. This role supports priorities within both the Decision Enablement strategy and the GRA AI Excellence Program. This internship is ideal for students interested in how organizations adopt new technologies, make strategic decisions, and translate technical capabilities into business value. The Opportunity What You’ll Do Explore how AI, analytics, and decision science are applied to real-world business challenges Support initiatives that integrate AI into regulatory workflows and decision-making Participate in stakeholder interviews, workshops, and cross-functional discussions Research trends in AI, agentic AI, decision intelligence, and digital transformation Help assess opportunities to improve business processes, decision quality, and organizational effectiveness Contribute to AI adoption, change management, measurement, and reporting Develop executive-ready presentations, summaries, and recommendations Collaborate across business and technical teams to connect capabilities with business needs What You’ll Learn How large organizations evaluate and adopt AI technologies How decision science and structured approaches strengthen business outcomes How leaders consider risk, opportunity, assumptions, and trade-offs How AI agents and digital assistants can augment human decision-making How cross-functional teams advance digital transformation and organizational change How to translate technical concepts into practical business recommendations How organizations build sustainable capabilities rather than one-time technology deployments AI Excellence & Adoption Support the GRA AI Excellence Program by helping assess organizational AI maturity, gather stakeholder insights, identify adoption opportunities, and contribute to initiatives that accelerate responsible AI use across GRA. AI Use Cases for Regulatory Decision-Making Research and evaluate AI and agentic AI opportunities that could improve regulatory workflows, decision-making, knowledge management, and operational effectiveness. Assess business value, stakeholder impact, and adoption considerations. Decision Science & Decision Quality Explore how organizations make high-quality decisions in complex environments. Support projects that help leaders evaluate options, understand trade-offs, clarify assumptions, and improve decision transparency. Decision Intelligence & Business Analytics Assist in developing decision-ready insights through metrics, dashboards, performance reporting, business storytelling, and scenario analysis. Digital Transformation & Change Adoption Support communications, workshops, and engagement activities that help employees adopt AI-enabled workflows, data-informed practices, and new ways of working. Data & Process Culture Examine how data quality, governance, process excellence, and organizational behaviors influence decision-making. Help strengthen the foundations required for scalable and trusted decisions. Future of Work & Human-AI Collaboration Explore how people and AI can work together effectively, including AI agents, workforce readiness, role evolution, capability building, and the future of decision-making. Strategic Stakeholder Engagement Work with leaders, AI champions, and business teams to understand challenges, gather insights, facilitate discussions, and translate findings into actionable recommendations.

Requirements

Currently pursuing a bachelor’s degree in International Affairs, Health or Business Administration, Finance, Economics, Management Information Systems, or a related field
Strong interest in AI, business strategy, emerging technologies, and decision-making
Excellent written and verbal communication skills
Strong critical thinking and problem-solving abilities
Comfort working across business and technical teams
Curious, collaborative, and willing to learn
Permanently authorized to work in the U.S., must not require sponsorship of an employment visa (e.g., H-1B or green card) at the time of application or in the future.
Students currently on CPT, OPT, or STEM OPT usually requires future sponsorship for long term employment and do not meet the requirements for this program unless eligible for an alternative long-term status that does not require company sponsorship.

Nice To Haves

Coursework related to AI, business analytics, digital transformation, information systems, or technology strategy
Experience conducting research, analyzing information, or supporting project work
Interest in organizational change, innovation, and the future of work
Exposure to data visualization, process improvement, or technology adoption initiatives

Responsibilities

Explore how AI, analytics, and decision science are applied to real-world business challenges
Support initiatives that integrate AI into regulatory workflows and decision-making
Participate in stakeholder interviews, workshops, and cross-functional discussions
Research trends in AI, agentic AI, decision intelligence, and digital transformation
Help assess opportunities to improve business processes, decision quality, and organizational effectiveness
Contribute to AI adoption, change management, measurement, and reporting
Develop executive-ready presentations, summaries, and recommendations
Collaborate across business and technical teams to connect capabilities with business needs
Support the GRA AI Excellence Program by helping assess organizational AI maturity, gather stakeholder insights, identify adoption opportunities, and contribute to initiatives that accelerate responsible AI use across GRA.
Research and evaluate AI and agentic AI opportunities that could improve regulatory workflows, decision-making, knowledge management, and operational effectiveness.
Assess business value, stakeholder impact, and adoption considerations.
Explore how organizations make high-quality decisions in complex environments.
Support projects that help leaders evaluate options, understand trade-offs, clarify assumptions, and improve decision transparency.
Assist in developing decision-ready insights through metrics, dashboards, performance reporting, business storytelling, and scenario analysis.
Support communications, workshops, and engagement activities that help employees adopt AI-enabled workflows, data-informed practices, and new ways of working.
Examine how data quality, governance, process excellence, and organizational behaviors influence decision-making.
Help strengthen the foundations required for scalable and trusted decisions.
Explore how people and AI can work together effectively, including AI agents, workforce readiness, role evolution, capability building, and the future of decision-making.
Work with leaders, AI champions, and business teams to understand challenges, gather insights, facilitate discussions, and translate findings into actionable recommendations.