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Principal, R&D Digital Enablement

Job in Summit, Union County, New Jersey, 07901, USA
Listing for: Kenvue
Full Time position
Listed on 2026-09-05
Job specializations:
  • IT/Tech
    AI Engineer (Applied/Software), AI Business & Operations
Job Description & How to Apply Below

Principal Scientist, Digital Enablement

At Kenvue, we realize the extraordinary power of everyday care. Built on over a century of heritage and rooted in science, we're the house of iconic brands - including NEUTROGENA®, AVEENO®, TYLENOL®, LISTERINE®, JOHNSON'S® and BAND-AID® that you already know and love. Science is our passion; care is our talent.

Our global team is ~ 22,000 brilliant people with a workplace culture where every voice matters, and every contribution is appreciated. We are passionate about insights, innovation and committed to delivering the best products to our customers. With expertise and empathy, being a Kenvuer means having the power to impact millions of people every day. We put people first, care fiercely, earn trust with science and solve with courage – and have brilliant opportunities waiting for you!

Join us in shaping our future–and yours.

Role reports to:
Assoc Director, Self Care RD Engineering

Location:

North America, United States, New Jersey, Summit

Work Location:

Hybrid

The Principal Scientist, Digital Enablement will play a key role in accelerating innovation across Kenvue by embedding digital technologies, AI capabilities, and data-driven solutions into product development teams. This individual will lead the identification, development, and deployment of digital tools and frameworks that improve scientific workflows, enhance knowledge management, and drive greater efficiency, productivity, and decision-making across R&D. Partnering closely with scientists, engineers, and cross-functional stakeholders, they will translate complex technical challenges into scalable digital solutions that support faster, more effective product development.

The role requires a unique blend of hands-on product development expertise, digital transformation leadership, process improvement, and change management capabilities. In addition, the Principal Scientist will champion the adoption of emerging technologies, mentor colleagues, and help shape the future of AI-enabled innovation at Kenvue while ensuring rigorous scientific, regulatory, and compliance standards are maintained.

Key Responsibilities
  • Lead R&D Digital Transformation
    • Identify, prioritize, and deploy high-impact digital capabilities across the product development lifecycle.
    • Accelerate the adoption of generative AI (e.g. Microsoft Copilot), AI-enabled workflows, knowledge systems, digital laboratories, and emerging technologies.
    • Partner with Tech & Data, digital capabilities team, external partners, and R&D leadership to develop and execute strategic capability roadmaps.
    • Establish scalable approaches for AI-enabled product development and innovation processes.
  • Enable Product Development Excellence
    • Embed directly within R&D project teams to identify workflow inefficiencies and improvement opportunities.
    • Improve speed, quality, knowledge reuse, and decision-making across new product development programs.
    • Support teams from concept generation through commercialization using modern digital capabilities.
    • Help establish best practices that enhance first-time-right execution and reduce cycle times.
  • Advance Front-End Innovation
    • Support concept generation, opportunity identification, and technical feasibility assessments.
    • Leverage AI, digital insights, and data-driven methods to strengthen innovation pipelines.
    • Improve translation of consumer, healthcare professional, and market insights into actionable technical development plans.
    • Promote rapid experimentation, learning cycles, and innovation efficiency.
  • Build R&D Knowledge Systems
    • Develop and improve knowledge management practices, metadata standards, and structured documentation approaches.
    • Support enterprise knowledge platforms and AI-ready content strategies.
    • Improve discoverability and reuse of technical knowledge across projects and functional teams.
    • Promote strong data governance and documentation practices.
  • Drive Adoption and Organizational Change
    • Champion new ways of working across technical organizations.
    • Develop training materials, best practices, communities of practice, and reusable playbooks.
    • Coach scientists and engineers on AI, automation, and digital capability utilization.
    • Build…
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