Principal, R&D Digital Enablement

Description

Kenvue is currently recruiting for a:

Principal, R&D Digital Enablement

What we do

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.

Who We Are

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.

For more information , click here .

Role reports to:
Assoc Director, R&D Digital Capabilities

Location:
North America, United States, New Jersey, Summit

Work Location:
Hybrid

What you will do

The Principal, R&D Digital Enablement will accelerate product development by identifying and deploying materials informatics and automation solutions to scientific and business problems.

Combining chemistry and product-development expertise with data-science literacy and business-analysis skills, this individual will assess opportunities, define requirements, connect R&D teams with technical experts, guide implementation and adoption, and demonstrate measurable value.

The role applies and guides computational modeling approaches - from statistical and mechanistic models to cheminformatics and machine learning - partnering with specialists for deep model development while remaining accountable for scientific framing, model fitness, and interpretation.

With appropriate attention to scientific, regulatory, quality, and compliance standards.

Key Responsibilities

Identify and Apply Scientific Modeling and Materials Informatics Solutions


* Apply systems thinking and structured problem framing to identify product-development problems that could be addressed through materials informatics methods-including predictive modeling, machine learning, simulation, and advanced analytics-or through decision-support tools, workflow automation, and simpler digital interventions.



* Evaluate materials informatics and automation opportunities based on the scientific question, data readiness, workflow maturity, integration needs, technical feasibility, validation requirements, adoption considerations, risk, and expected scientific and business value.


* Use business-analysis practices to define scientific and business problems, map current processes and decision points, develop use cases and requirements, identify data dependencies, establish success measures, and plan value realization.


* Partner with data sci...