Lead, Digital & Data Analytics

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.

The Digital & Data Analytics (D&DA) team within Global Supply Chain Services is transforming how the organization leverages data, analytics, and AI to improve productivity, drive Continuous Process Improvements (CPIs), and enable faster, more informed business decisions. The team focuses on delivering scalable, cost-effective digital solutions with speed, simplicity, and measurable business value.

Reporting to the Sr. Manager, D&DA, Global Supply Chain Services, you will lead a balanced portfolio of AI and data automation projects. You will be expected to independently manage complex, cross-functional initiatives from intake through value realization.

The successful candidate will bring prior expertise in leveraging AI for digital, managing ambiguous business problems, and delivering multiple projects in parallel. To succeed in this role, you will need 5 skills – AI, project management, stakeholder management, stellar communications and prior hands-on experience with Data Automation tools.

• Lead, design, deliver, and scale automated data and AI-enabled solutions to replace manual processes, improve data quality, and accelerate digital delivery..

• Apply approved AI, GenAI, Copilot, and automation tools to improve development speed, documentation, testing, user enablement, and solution quality.

• Champion the adoption of AI, automation, analytics, and data-driven decision-making.

• Identify opportunities for continuous improvement and operational efficiency across business processes and digital capabilities.

• Lead complex digital and analytics initiatives from intake through delivery, adoption, documentation, and value tracking.
• Translate ambiguous business needs into clear problem statements, scope, milestones, success measures, risks, and delivery plans.
• Conversely, translate complex technical jargon into easy to digest information for our non-technical audience
• Manage multiple concurrent projects while balancing scope, timelines, budget, and business priorities.
• Establish and maintain strong stakeholder relationships, ensuring alignment, transparency, and effective communication throughout project lifecycles.
• Communicate progress, decisions, risks, value, and adoption needs through concise executive updates and strong storytelling.
• Proactively conduct lessons learned sessions to improve ways of working.

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