Manager, Semantic Intelligence

At Johnson & Johnsonwe believe health is everything. Our strength in healthcare innovation empowers us to build aworld where complex diseases are prevented treated and curedwhere treatments are smarter and less invasive andsolutions are 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 more at

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 Sciences

Job Sub Function:

Data Science

Job Category:

Scientific/Technology

All Job Posting Locations:

Titusville New Jersey United States of America

Job Description:

We are searching for the best talent for Manager Semantic Intelligence to be in Titusville NJ

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

Purpose:

Johnson & Johnson Innovative Medicine Technology is seeking a Manager Semantic Intelligence to lead the development of Semantic Intelligence within the J&J Innovative Medicine Technology team on the data platform and partner closely with the Global Commercial Strategy Organization (GCSO) business stakeholders product teams and technology teams.

This is a technical leadership role responsible for translating complex business and data requirements into scalable platform solutions. Operating through a forward-deployed engineering model the successful candidate will work directly with stakeholders and engineering teams to design build deploy and support production-grade data and AI capabilities.

The role requires strong experience in enterprise data products cloud computing data infrastructure software engineering and modern AI technologies together with the ability to lead cross-functional delivery in a complex and regulated enterprise environment.

You will be responsible for:

• Partnering with the Global Commercial Strategy Organization (GCSO) and other stakeholders to understand complex business and technical needs and translate them into scalable data and AI solutions.
• Leading the technical design development deployment and ongoing enhancement of Semantic Intelligence capabilities on the data platform.
• Apply a forward-deployed engineering approach by working directly with users product teams architects and engineers from problem definition through production adoption.
• Design and deliver reusable data products and platform capabilities that improve enterprise data accessibility interoperability and AI readiness.
• Provide technical leadership across cloud computing data engineering data infrastructure APIs metadata semantic technologies and AI-enabled applications.
• Collaborate with engineering architecture data science product management security privacy and governance teams to deliver secure reliable and scalable solutions.
• Establish and promote engineering standards for architecture software development testing deployment observability documentation and production support.
• Evaluate emerging data and AI technologies and recommend practical approaches aligned with enterprise architecture security privacy compliance and responsible AI requirements.
• Manage technical priorities delivery plans dependencies risks and stakeholder expectations across multiple initiatives.
• Mentor technical team members oversee delivery partners and contribute reusable engineering practices across the Johnson & Johnson Data and AI community.

Qualifications / Requirements:

• Ph.D. with 2 years of relevant industry experience or M.S. with 5 years of relevant industry experience in Computer Science Data Science Artificial Intelligence Software Engineering Information Systems Computational Informatics Engineering or a related technical discipline.
• Significant experience designing developing and deploying enterprise-scale data products cloud platforms data infrastructure analytics solutions or AI-enabled applications in production environments.
• Experience with semantic modeling enterprise metadata knowledge graphs graph data models or comparable approaches that connect enterprise data with business context.
• Strong understanding of modern AI architectures including large language models retrieval-augmented generation vector retrieval semantic search AI agents orchestration frameworks evaluation monitoring and responsible AI controls across cloud and open-source ecosystems.
• Experience in a forward-deployed engineering solutions engineering product engineering or technology consulting role involving direct collaboration with end users.
• Experience delivering enterprise data platforms semantic layers AI-enabled data products or knowledge management solutions at scale.
• Experience integrating AI capabilities into enterprise products applications and workflows using cloud-agnostic and open-source technologies.
• Strong experience with modern cloud and data platforms including Snowflake Amazon Web Services (AWS) Databricks and related cloud-native services.
• Demonstrated experience across the data product lifecycle including data ingestion transformation storage modeling APIs metadata governance data quality orchestration observability security and operational support.
• Strong software engineering and technical delivery skills including Python SQL distributed computing source control automated testing CI/CD containerization and infrastructure automation.
• Experience designing and deploying reusable platform services and data products with defined interfaces ownership quality controls documentation service-level expectations and production support.
• Demonstrated experience moving technical solutions from discovery and prototyping through architecture engineering production deployment monitoring and continuous improvement.
• Experience leading multidisciplinary technical teams and working across product management architecture engineering data science cybersecurity privacy and governance functions.
• Ability to diagnose complex technical and operational issues across application data integration and infrastructure layers.
• Strong communication and stakeholder management skills with the ability to explain architecture technical trade-offs delivery risks and solution outcomes to technical and non-technical audiences.
• Demonstrated ability to manage competing priorities operate effectively in ambiguous environments and influence decisions across a matrixed organization.
• Experience in pharmaceutical healthcare life sciences commercial technology or another regulated industry.
• Experience managing internal engineers external delivery teams vendors or consulting partners.
• Familiarity with pharmaceutical commercial medical real-world evidence clinical or patient data and associated privacy and governance requirements.

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.

#LI-Hybrid #JNJDataScience #JNJIMCommercial-DS

Required Skills:

AI Agents Artificial Intelligence (AI) Semantic Modeling

Preferred Skills:

Advanced Analytics Coaching Critical Thinking Data Analysis Data Privacy Standards Data Quality Data Reporting Data Savvy Data Science Data Visualization Digital Fluency Econometric Models Organizing Process Improvements Strategic Thinking Technical Credibility Workflow Analysis

The anticipated base pay range for this position is :

The anticipated base pay range for this position is $117000 and $201250 USD.

Additional Description for Pay Transparency:

Subject to the terms of their respective plans employees and/or eligible dependents are eligible to participate in the following Company sponsored employee benefit programs: medical dental vision life insurance short- and long-term disability business accident insurance and group legal insurance. Subject to the terms of their respective plans employees are eligible to participate in the Companys consolidated retirement plan (pension) and savings plan (401(k)). This position is eligible to participate in the Companys long-term incentive program. 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 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 Condolence Leave 30 days for an immediate family member: 5 days for an extended family member Caregiver Leave 10 days Volunteer Leave 4 days Military Spouse Time-Off 80 hours Additional information can be found through the link below. Experience:

Manager