Senior Manager - Workflow, Applications & Plug-ins Team

Johnson Johnson; Titusville (NJ); Hybrid; USD 150,000 - 210,000; Full time

Job summary

Johnson & Johnson Innovative Medicine is hiring a Senior Manager for Workflow, Applications & Plug-ins in a hybrid role primarily located in Raritan/Titusville, NJ with US-based responsibilities. You will lead the engineering delivery of reusable GenAI applications and scientific workflows across R&D, translating priorities into robust designs and maintainable releases.

You will mentor scientists and engineers, coordinate with platforms and business teams, and drive delivery tradeoffs while

Qualifications

• Master-level degree in AI/ML, Computer Science, Engineering, Bioinformatics, or related field with 3+ years hands-on AI/GenAI experience.
• Proven track record delivering production AI software and leading complex technical work.
• Strong fundamentals in AI/GenAI, including Python, APIs, version control, testing, and cloud delivery.

Responsibilities

• Own the integrated application delivery plan with milestones, capacity, dependencies and release risks across approved use cases.
• Translate user stories into technical designs and document architecture decisions with partners.
• Guide generation, retrieval and agent workflow implementation; evaluate build-vs-buy options for maintainability and cost.
• Establish code review, automated testing and release practices with governance and security controls.
• Coordinate integration with data products and vendor services; define deployment and monitoring handoffs.

Skills

AI/GenAI engineering

Python

Cloud delivery

Leadership

Stakeholder comms

Education

Master's degree in AI/ML or related field

Tools

Git

APIs

Testing frameworks

Job 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 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, Pensylvania. (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.

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 fo