Digital Engineering Data & AI Engineer

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:
Project/Program Management Group

Job Sub Function:
Technology Program/Portfolio Management

Job Category:
Professional

All Job Posting Locations:
New Brunswick, New Jersey, United States of America

Job Description:

Johnson & Johnson Engineering & Property Services is recruiting for a Digital Engineering Data & AI Engineer, located in New Brunswick, New Jersey.

An internal pre-identified candidate for consideration has been identified. However, all applications will be considered.

Join our Project Delivery Digital Engineering team and help improve how engineering standards, Building Information Modeling (BIM) data, and IDEA digital workflows are structured, connected, and used across capital projects and connected with facility lifecycle.

As a Digital Engineering Data and AI Engineer, you will develop scalable data and AI solutions that enable standards-driven designs, streamlined workflows, and data-informed decisions.

You will partner closely with the BIM Data Model Lead, who defines BIM data models and standards, to build solutions that apply those standards across analytics, digital workflows, and AI-enabled applications.

Your work will help teams make better decisions, improve consistency, and strengthen Digital Engineering capabilities across Project Delivery.

Key Responsibilities:
Design and Build Data Solutions

• Build structured data models that translate engineering standards and requirements into reusable digital assets
• Apply BIM data models and standards to support analytics, reporting, and workflow integration
• Support consistent and scalable use of BIM data across projects

Enable Data-Driven Workflows

• Design and deliver solutions that support the IDEA lifecycle (Ideation, Definition, Execution, Assessment)
• Build automated workflows that validate designs against PD Standards and support model-based decisions
• Improve quality, consistency, and efficiency across project delivery

Develop AI and Intelligent Applications

• Design and develop AI-enabled tools and applications that support engineering workflows
• Build search and knowledge capabilities that allow teams to find and use standards and BIM data
• Develop automated workflows that improve productivity and reduce manual effort

Build Analytics and Insights

• Create dashboards and reports that turn BIM and engineering data into clear insights
• Support data-informed decisions across project delivery and lifecycle performance
• Use analytics and machine learning to identify risks and improvement opportunities

Develop Data Pipelines and Integrations

• Build and maintain data pipelines that connect BIM platforms (e.g., Revit, FORMA, Building Connected, etc), Digital Engineering tools, and structured data sources
• Ensure data quality, consistency, and alignment with defined BIM standards

Collaborate Across Teams

• Partner with the BIM Data Model Lead to align solutions with BIM standards and governance
• Work with project delivery, project controls, engineering, design, and construction safety to define needs and deliver digital solutions
• Support adoption of Digital Engineering tools and BIM-enabled workflows

Qualifications

Education:

• Bachelor's or equivalent degree in Data Science, Computer Science, Engineering, Mathematics, or a related field required.

Experience and Skills:

Required:

• 2-4 years of experience delivering data, analytics, or AI solutions
• Proficiency in Python or R and strong SQL skills
• Experience building data models, pipelines, dashboards, or applications using structured and unstructured data
• Strong problem-solving skills and ability to turn business needs into practical technical solutions
• Clear communication skills with the ability to explain insights to both technical and non-technical audiences

Preferred:

• Experience with Digital Engineering, BIM, or model-based workflows
• Familiarity with Project Delivery Standards or structured requirements frameworks
• Experience with data-driven workflows
• Exposure to AI, machine learning, natural language processing, or automation
• Experience with cloud platforms such as AWS, Azure, or Google Cloud
• Familiarity with cloud platforms such as AWS, Google Cloud Platform, or Azure, along with big data tools and ML lifecycle concepts including deployment, monitoring, and MLOps fundamentals.
• Familiarity with NLP techniques such as RAG, agentic workflows, and prompt engineering, plus strong written and verbal communication skills.

Other:

• English proficiency, both oral and written, is required
• Up to 10% travel may be required

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 , internal employees contact AskGS to be directed to your accommodation resource.

Required Skills:

Preferred Skills:
Business Behavior, Coaching, Collaboration, Consulting, Continuous Improvement, Cross-Functional Collaboration, Customer Alignment, Data Analysis, Data Visualization, Information Technology Strategies, Problem Solving, Process Improvements, Product Portfolio Management, Project Management Methodology (PMM), Project Management Office (PMO), Technology Quotient, Vendor Managed Inventory (VMI)

The anticipated base pay range for this position is :
$79,000.00 - $127,650.00

Additional Description for Pay Transparency:
Subject to the terms of their respective plans, employees are eligible to participate in the Company's consolidated retirement plan (pension) and savings plan (401(k)).

Subject to the terms of their respective policies and date of hire, employees are eligible for the following time off benefits:

Vacation -120 hours per calendar year

Sick time - 40 hours per calendar year; for employees who reside in the State of Colorado -48 hours per calendar year; for employees who reside in the State of Washington -56 hours per calendar year

Holiday pay, including Floating Holidays -13 days per calendar year

Work, Personal and Family Time - up to 40 hours per calendar year

Parental Leave - 480 hours within one year of the birth/adoption/foster care of a child

Bereavement Leave - 240 hours for an immediate family member: 40 hours for an extended family member per calendar year

Caregiver Leave - 80 hours in a 52-week rolling period10 days

Volunteer Leave - 32 hours per calendar year

Military Spouse Time-Off - 80 hours per calendar year

For additional general information on Company benefits, please go to: -