Senior Manager – Workflow, Applications & Plug-ins Team

Johnson & Johnson Innovative Medicine; Spring House (PA); On-site; USD 137,000 - 236,000; Full time

Job summary

Johnson & Johnson Innovative Medicine seeks a Senior Manager to lead the engineering delivery of reusable GenAI applications and scientific workflows across R&D. Translate priorities into robust designs and realistic delivery plans while mentoring engineers.

You will collaborate with Platforms, AI Ops and business teams to establish release practices, ensure maintainable solutions, and uphold data governance and security standards.

Qualifications

• Master's degree in AI/ML, CS, engineering, bioinformatics or related field with 3+ years of hands-on AI experience.
• Experience delivering production software or AI applications and leading complex technical work.
• Strong AI/GenAI fundamentals, including Python, APIs, version control, testing and cloud delivery.
• Practical understanding of large language models, RAGs, evaluation and agentic workflows.
• Ability to reason about data access, security, reliability and maintainability, and to partner with specialists for implementation.
• Evidence of effective technical mentoring and stakeholder communication.

Responsibilities

• Lead engineering delivery of reusable GenAI apps and scientific workflows across R&D.
• Translate product priorities into technical designs and work packages; define interfaces.
• Guide evidence-grounded generation, retrieval and agent workflow implementation.
• Establish code review, automated testing and release practices; ensure governance.
• Coordinate integration with data products and vendor services; plan handoffs.
• Mentor scientists and engineers; manage teams and contractors against deliverables.
• Communicate tradeoffs and capacity constraints to leadership; sequence scope.
• Provide delivery and technical leadership; oversee organizational staffing.

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

Technical Credibility

Education

Master's degree in AI/ML

Tools

Git

CI/CD

Cloud (AWS/Azure)

Job description

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

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/.

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.

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Required 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, Technical Credibility

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, Technical Credibility

The anticipated base pay range for this position is :

$137,000.00 - $235,750.00

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)). This position is eligible to participate in the Company’s long-term incentive program.

Benefits

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: https://www.careers.jnj.com/employee-benefits