Lead, Digital & Data Analytics
Listed on 2026-09-04
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IT/Tech
Data Analyst, Data Science Manager
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 Med Tech, 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.
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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:Supply Chain Deliver
Job Sub Function:Deliver Excellence
Job Category:Professional
All Job Posting Locations:New Brunswick, New Jersey, United States of America
Job Description:Position Overview
The Digital & Data Analytics (D&D
A) 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 Manager, Digital & Data Analytics, this role is responsible for leading a diverse portfolio of AI, reporting, analytics, and digital transformation initiatives. The successful candidate will independently manage complex, cross-functional projects from ideation and intake through implementation, adoption, and value realization, ensuring alignment with strategic business objectives.
To succeed in this role, you will need 8 skills –AI & Digital Project & Portfolio Management, Data & Analytics, Stakeholder Management, Executive Communication, Power Platform & Data Solutions, UX/UI Design & User-Centered Solutions, Problem Solving & Decision Making, Change Management & Adoption.
60% - AI-Enabled Reporting and Analytical Solutions:- Lead the end-to-end delivery of a portfolio of AI, reporting, analytics, and digital transformation projects across Global Supply Chain Services.
- 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 analytics initiatives from intake through delivery, adoption, documentation, and value tracking.
- Partner with business stakeholders to identify opportunities, define requirements, prioritize initiatives, and develop delivery roadmaps
- Drive project governance, planning, execution, risk management, resource coordination, and value realization activities.
- Manage multiple concurrent projects while balancing scope, timelines, budget, and business priorities.
- Conversely, translate complex technical jargon into easy to digest information for our non-technical audience.
- Establish and maintain strong stakeholder relationships, ensuring alignment, transparency, and effective communication throughout project life cycles and with strong storytelling.
- Monitor project performance and business outcomes through defined success metrics and reporting frameworks.
- Proactively conduct lessons learned sessions to improve ways of working.
Required:
- Hands-on experience with leveraging multiple AI tools to deliver on reporting and analytics in conjunction with other digital tools.
- Hands-on experience with modern analytics and data platforms such as Power Platform, Power BI, SQL, Azure, APIs or similar technologies. Coding in Python will be a big bonus.
- Bachelor's degree in Business, Information Technology, Data Analytics, Computer Science, Engineering, or a related field.
- Proven experience managing complex,…
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