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Manager AI Products

Job in Titusville, Brevard County, Florida, 32780, USA
Listing for: Biopharma Careers
Full Time position
Listed on 2026-09-03
Job specializations:
  • IT/Tech
    AI Engineer (Applied/Software), Data Science Manager, Data Analyst, Machine Learning/ ML Engineer
Salary/Wage Range or Industry Benchmark: 162000 - 182000 USD Yearly USD 162000.00 182000.00 YEAR
Job Description & How to Apply Below

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 Med Tech, 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  .

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:

Employer:

Janssen Pharmaceuticals, Inc.

Job Title:

Manager AI Products

Job Code: A011.9171

Job Location:

Titusville, NJ

Job Type: Full-Time

Rate of Pay: $162,000 - $182,000

Job Duties:

Drive the development and continuous innovation of AI/ML enabled closed loop digital products for commercial, medical, and patient engagements, with an initial focus on the Omnichannel program for healthcare providers and patients. Work closely with cross-functional partners to identify standardization opportunities across Therapeutic Areas (“TA”) as we scale our HCP, patient, and medical omnichannel solutions across all brands and ensure that commercial AI products are established as scalable and sustainable platforms that are responsive to evolving Janssen commercial needs.

Develop a deep understanding of the brand priorities and partnering with cross-functional strategic and technical partners to support the development and deployment of fit-for-purpose AI/ML solutions of varying sophistication. Understand the existing machine learning algorithms and data science pipelines within Janssen commercial and support individual brands and TAs with their data science, engineering, and operational excellence needs in response to and accordance with the changing business needs.

Collaborate and coordinate within a heavily matrixed environment across TA, AA, DE, and DE partners and Operations and other supporting teams to ensure timely development and deployment of AI/ML solutions. Provide leadership in effectively addressing obstacles to ensure data driven prioritization of AI/ML solutions in Janssen commercial TAs. Assist the leaders in the DS, DE and AA team in managing the releases together with the Janssen TAs to ensure timely delivery and continuous innovation.

Support the TA teams in eliciting requirements to advance AI products while ensuring coordination, standardization, and visibility across TAs. Drive clear and effective business translation of AI/ML products between business and technical stakeholders. Lead collaboration with partners across Marketing, Sales, StAT and Data Science teams to incorporate market research, strategic imperatives, competitive intelligence into AI products to influence key decisions and brand strategy.

Oversee the critical processes and resources that drive AI/ML products across brands. Proactively leverage AI/ML knowledge and business strategy to evolve the commercial model using common and novel sources of data (e.g., commercial pharma, consumer, and census data). Translate business questions into fitfor-purpose analytical solutions, and interpret outcomes of data science models into meaningful business insights and actionable recommendations.

May telecommute per company’s (hybrid) policy.

Requirements:

Employer will accept a Master's degree in Computer Science, Information Systems/Technology, Industrial/Systems Engineering or a related field and 3 years of experience in the job offered or in a Manager, AI Products-related occupation.

Subject to the terms of their respective plans, employees are eligible to participate in the Company’s consolidated retirement plan (pension) and savings…

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