This job posting is anticipated to close on Sep 21 2026. We may however extend this time period, in which case the posting will remain available on www.careers.jnj.com to accept additional applications.
Description
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.
Job Function:
Data Analytics & Computational SciencesJob Sub Function:
Data EngineeringJob Category:
Scientific/TechnologyAll Job Posting Locations:
Malvern, Pennsylvania, United States of America, Spring House, Pennsylvania, United States of AmericaJob Description:
About Innovative Medicine
Our expertise in Innovative Medicine is informed and inspired by patients, whose insights fuel our science-based advancements. Visionaries like you work on teams that save lives by developing the medicines of tomorrow.
Join us in developing treatments, finding cures, and pioneering the path from lab to life while championing patients every step of the way.
Learn more at https://www.jnj.com/innovative-medicine
Please note that this role is available across multiple countries and may be posted under different requisition numbers to comply with local requirements. While you are welcome to apply to any or all of the postings, we recommend focusing on the specific country(s) that align with your preferred location(s):
US: Spring House, PA or Malvern, PA- Requisition Number: R-089403
Leiden, NL - Requisition Number: R-099323
Remember, whether you apply to one or all of these requisition numbers, your applications will be considered as a single submission.
We are searching for the best talent for a Digital Integrator, Material Management.
Position Summary
The Digital Integrator – Material Management serves as the digital lead and business integrator for material-related processes and data across Cell & Gene Therapy and Biologics Advanced Development. The role owns the development and execution of a clear, end-to-end digital material management strategy spanning development laboratories, pilot plants, quality laboratories, and supply-chain interfaces.
The Digital Integrator acts as the bridge between scientists, process and analytical development, manufacturing, quality, logistics, supply chain, Digital & Automation, DOS, and IT. The role ensures that material definitions, identifiers, specifications, status, inventories, genealogy, and usage are consistent, governed, and traceable across MES, ELN, LIMS, BIOVIA, and SAP.
The Digital Integrator is responsible for ensuring clear and integrated material management strategy:
MES material processes, and batch genealogy
ELN and BIOVIA material processes
Alignment with SAP
The position drives digital transformation that creates a trusted material record across the product lifecycle, reduces manual reconciliation and duplicate master data, improves inventory visibility and right-first-time execution, and enables compliant reporting, analytics, modelling, AI, and end-to-end material traceability.
Key Responsibilities
Material Management Digital Strategy & Business Partnership
Define and maintain material management digital strategy for CGT.
Establish clear system-of-record boundaries and data ownership across SAP, MES, ELN, BIOVIA, and LIMS.
Partner with Business functions to ensure compliance for material management digital processes
Ensure the strategy supports both development agility and GxP-compliant manufacturing operations across sites and external partners.
Cross-System Process and Data Integration
Design and implement connected material workflows across SAP, MES, ELN, BIOVIA, and LIMS, minimising manual handoffs and duplicate data entry.
Ensure material master data and approved terminology are embedded at the point of execution through governed ontology, metadata, and reference-data standards.
Define required integrations and event flows, including material creation and status from SAP, consumption and genealogy in MES, experimental use in ELN and BIOVIA, and testing and release status in LIMS.
Enable contextualised material data to flow to enterprise data platforms for reporting, investigations, comparability, modelling, and AI.
Identify and resolve gaps in material visibility, traceability, chain of custody, inventory status, expiry management, and data segregation.
Adoption, Change Management & Value Realization
Drive implementation and sustained adoption of standard material management processes and digital capabilities across participating functions and sites.
Translate complex cross-functional workflows into practical requirements, user stories, process designs, and implementation plans.
Coordinate training, communications, business readiness, and operating procedures for new material capabilities.
Continuously improve the strategy and roadmap using operational performance, user feedback, data-quality results, and evolving business priorities.
Required Qualifications and Experience
Bachelor’s degree in Life Sciences, Engineering, Supply Chain, Computer Science, Chemistry, Biotechnology, or a related discipline.
Minimum 5–8 years of experience in pharmaceutical, biotechnology, life sciences, manufacturing, laboratory informatics, supply chain, or material management environments.
Experience working with and integrating execution systems such as MES, ELN, LIMS, BIOVIA, and SAP.
Strong cross-functional leadership, stakeholder management, change management, communication, and facilitation skills.
Preferred Qualifications and Experience
Knowledge of ontology, semantic identifiers, metadata, reference data, and FAIR data principles.
Project, product, or program management experience delivering digital transformation initiatives.
Proven ability to translate business and scientific needs into scalable digital solutions and measurable outcomes.
Johnson & Johnson is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, protected veteran status or other characteristics protected by federal, state or local law. We actively seek qualified candidates who are protected veterans and individuals with disabilities as defined under VEVRAA and Section 503 of the Rehabilitation Act.
Johnson & Johnson is committed to providing an interview process that is inclusive of our applicants’ needs. If you are an individual with a disability and would like to request an accommodation, external applicants please contact us via https://www.jnj.com/contact-us/careers, internal employees contact AskGS to be directed to your accommodation resource.
If you are under 18 years of age you (the candidate) may need to obtain the necessary working papers or other documentation required by state law to start the assignment, as well as get a parent’s consent for the background check
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Required Skills:
Preferred Skills:
