Senior Manager – Workflow, Applications & Plug-ins Team

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 Sciences Job Sub Function: Data Science Job Category: Scientific/Technology All Job Posting Locations: Raritan, New Jersey, United States of America, Spring House, Pennsylvania, United States of America, Titusville, New Jersey, United States of America Job Description: Company Overview Johnson & Johnson Innovative Medicine (J&J IM) develops treatments that improve the health and well-being of people worldwide. Research and development areas encompass oncology, cardiovascular and retina disorders, immunology, and neuroscience. Our goal is to help people live longer and healthier lives. We have produced and marketed many first-in-class prescription medications and are poised to serve the broad needs of the healthcare market, from patients to practitioners and from clinics to hospitals. To learn more about J&J IM, please visit https://www.jnj.com/ . Johnson & Johnson Innovative Medicine (J&J IM) is recruiting for a Senior Manager – Workflow, Applications & Plug-ins Team This position has a primary location of Raritan / Titusville, New Jersey ; Spring House, Penssylvania. (US based). This is a hybrid role. Role Summary As an Senior Manager in the Workflow, Applications and Plug-ins team within Data, Data Science and AI Org , you will lead the engineering delivery of reusable GenAI applications and scientific workflows across R&D. Translate agreed product priorities into robust application designs, realistic delivery plans and maintainable releases. Provide technical leadership and coaching while partnering with Platforms, Innovation Engine, World Model, Data, AI Ops, AI Safety, evaluation and business teams. Key Responsibilities Own the integrated application delivery plan, including milestones, engineering capacity, dependencies and release risks across approved use cases. Translate validated user stories into technical designs and work packages. Define application interfaces and document architecture decisions with platform and enterprise technology partners. Guide evidence-grounded generation, retrieval and agent workflow implementation. Evaluate build-versus-buy options using quality, integration effort, maintainability and cost. Establish code review, automated testing and application release practices. Incorporate evaluation standards, access controls, traceability and human-review requirements. Coordinate application integration with approved data products and vendor services. Agree clear handoffs for deployment, monitoring, incident response and ongoing support. Mentor scientists and engineers, review technical work and coordinate employees, contractors and federated contributors against agreed deliverables. Communicate delivery tradeoffs and capacity constraints to leadership. Propose scope sequencing when demand exceeds available resources. The role provides delivery and technical leadership. Formal line-management responsibilities follow the approved organization design. Required Qualifications Master's degree in AI/ML, Computer Science, Engineering, Bioinformatics, or related field with 3+ years of hands-on experience in AI/GenAI Science/Engineering. Demonstrated experience delivering production software or AI applications and leading complex technical work across multiple contributors. Strong AI/Gen AI Scientists fundamentals, including Python or a comparable language, APIs, version control, testing and cloud application delivery. Practical understanding of large language models, RAGs, evaluation and the limitations of agentic workflows. Ability to reason about data access, security, reliability and maintainability, and to partner with specialists for implementation. Evidence of effective technical mentoring, stakeholder communication and prioritization under competing demands. Preferred Qualifications Life-sciences R&D, scientific document workflows or other environments requiring traceable evidence and controlled human review. Reusable plugin architectures, workflow orchestration, enterprise integrations and management of vendor engineering contributions. Operational monitoring, regression testing and cost/performance optimization for AI-enabled applications. Experience fine-tuning LLMs for specialized domains and deploying AI systems in cloud environments (AWS or Azure). Strong understanding of statistical validation methods for AI-driven workflows. Experience with Git-based development and CI/CD pipelines. Our Values 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. #LI-GR1 #LI-Hybrid #JNJDataScience #JDR #JDRDS Required Skills: Preferred Skills: Advanced Analytics, Consulting, Critical Thinking, Data Analysis, Data Privacy Standards, Data Quality, Data Reporting, Data Savvy, Data Science, Data Visualization, Digital Fluency, Econometric Models, Mentorship, Strategic Thinking, Tactical Planning, Techni