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 Portfolio Management

Job Category:

Professional

All Job Posting Locations:

Cambridge, Massachusetts, United States of America, Raritan, New Jersey, United States of America, Spring House, Pennsylvania, United States of America, Titusville, New Jersey, United States of America

Job Description:

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 https://www.jnj.com/innovative-medicine
 

Johnson & Johnson Innovative Medicine is seeking an Associate Director, Product Management to help drive the development, delivery, and lifecycle management of Generative AI–enabled products across R&D. This role will support a growing portfolio of GenAI capabilities focused on augmenting critical scientific, clinical, and operational workflows by leading cross-functional teams tasked with developing AI-driven products for specific, critical functions defined in collaboration with Immunology. Key functions include, but are not limited to, automating workflows, knowledge retrieval, AI-driven data models, and document generation.
 

This position sits at the intersection of product strategy, data science, and R&D domain workflows. The role will work closely with data scientists, engineers, and R&D stakeholders within Immunology to translate complex scientific and operational needs into scalable, compliant, and impactful AI-enabled products.

The ideal candidate brings strong product management fundamentals, comfort operating in regulated scientific environments, and the ability to bridge technical AI capabilities with  drug development workflows. This candidate should be able to connect technical software requirements to end-user outcomes, and to interact with both technical teams and biological sciences stakeholders.

Key Responsibilities:
 

Product Strategy & Road mapping

• Help develop, and execute, product strategy and roadmaps for GenAI‑enabled tools supporting R&D workflows, including scientific knowledge retrieval, document authoring, decision support, and productivity acceleration.
• Work with strategy leads to translate complex scientific, clinical, and operational workflows into clear product vision, requirements, and phased delivery plans.
• Contribute to portfolio-level prioritization and investment decisions to ensure resources are aligned with highest-impact R&D use cases

Stakeholder Engagement & Domain Partnership

• Partner across R&D stakeholders in Data Science & Digital Health, Regulatory, Clinical Development, Translational Science, Discovery, and IT to understand unmet needs and translate them into appropriate, discrete solutions within the appropriate product.
• Engage with Immunology stakeholders as a point of contact and accountability for products, and as a key source of domain input
• Represent product perspectives in senior R&D and Data Science & Digital Health leadership discussions, influencing direction without direct authority.

Product Development & Delivery

• Lead product teams in end-to-end execution from concept through launch and continued iteration cycles.
• Serves as product point of accountability, assessing and defining ROI, and balancing budget, timeline, and technical requirements throughout the development life cycle
• Ensure solutions meet expectations for usability, scalability, security, and compliance in regulated R&D environments.
• Serve as a product leader, setting best practices, standards, and ways of working for GenAI product development in R&D.

AI Technology Enablement

• Apply working knowledge of generative AI concepts (e.g., retrieval-augmented generation, knowledge graphs, agentic workflows, evaluation strategies) at a strategic level to guide product design and tradeoffs.
• Collaborate and coordinate with technical teams on data readiness, model integration, validation approaches, and iteration cycles.
• Support responsible AI practices, including transparency, traceability, and risk mitigation.

Required Qualifications

• Advanced degree (MS/PhD) or equivalent experience in life sciences, data science, computer science, biomedical engineering, or related field.
• 6–8+ years of experience in product management or digital product development.
• Demonstrated experience working with data science, machine learning, or AI-enabled products.
• Strong ability to translate complex workflows and stakeholder needs into actionable product requirements and communicating technical development to nontechnical stakeholders.
• Experience operating in matrixed, cross-functional environments.

Preferred Qualifications

• Experience supporting drug discovery, translational science, clinical development, regulatory, or other R&D workflows strongly preferred.
• Familiarity with immunology, immune/autoimmune/inflammatory diseases, or related therapeutic areas strongly preferred.
• Experience developing or scaling AI products in regulated or scientifically complex environments.
• Exposure to cloud platforms, data platforms, or enterprise AI architectures.

Core Competencies

• Product Leadership: Owns outcomes, balances competing priorities, and drives execution.
• Technical Acumen: Understands AI/ML fundamentals and collaborates effectively with technical teams.
• Scientific Curiosity: Engages meaningfully with scientific and clinical stakeholders without needing to be the domain expert.
• Strategic Thinking: Connects individual product decisions to broader R&D and organizational goals.
• Communication & Influence: Communicates clearly across disciplines and influences without authority. Ability to work with and manage complex teams of varying expertise

What We Offer

• Opportunity to shape how Generative AI is applied across R&D to accelerate development of transformational medicines.
• Exposure to cutting-edge AI technologies applied to real scientific and clinical problems.
• Collaboration with world‑class data scientists, engineers, clinicians, and product leaders.
• Competitive compensation and strong professional development opportunities.

This position will be located at one of our campuses in either Spring House PA, Cambridge MA, Titusville NJ, or Raritan, NJ (no fully remote option available). Occasional travel for cross‑functional workshops, design sessions, and team meetings 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 https://www.jnj.com/contact-us/careers , internal employees contact AskGS to be directed to your accommodation resource.
The anticipated base pay range for this position is $137,000 to $235,750. The Company maintains highly competitive, performance-based compensation programs. Under current guidelines, this position is eligible for an annual performance bonus in accordance with the terms of the applicable plan. The annual performance bonus is a cash bonus intended to provide an incentive to achieve annual targeted results by rewarding for individual and the corporation’s performance over a calendar/performance year. Bonuses are awarded at the Company’s discretion on an individual basis. Employees and/or eligible dependents may be 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. Employees may be eligible to participate in the Company’s consolidated retirement plan (pension) and savings plan (401(k)).

Employees are eligible for the following time off benefits:
Vacation – up to 120 hours per calendar year
Sick time - up to 40 hours per calendar year
Holiday pay, including Floating Holidays – up to 13 days per calendar year of Work, Personal and Family Time - up to 40 hours per calendar year
Additional information can be found through the link below. https://www.careers.jnj.com/employee-benefits

The compensation and benefits information set forth in this posting applies to candidates hired in the United States. Candidates hired outside the United States will be eligible for compensation and benefits in accordance with their local market.

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Required Skills:

 

 

Preferred Skills:

Advanced Analytics, Business Case Modeling, Consulting, Cross-Functional Collaboration, Data Privacy Standards, Data Science, Data Structures, Digital Fluency, Digital Strategy, End to End Implementation, Global Market, Negotiation, Organizing, Predictive Modeling, Process Improvements, Product Portfolio Management, Technical Credibility