Manager, Data Science - Global Finance

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:*
* People Leader

** All Job Posting Locations:*
* New Brunswick, New Jersey, United States of America

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* Job Description:

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* ** We are searching for the best talent for Manager, Data Science - Global Finance to be in New Brunswick, NJ*
* ** About Innovative Medicine*
* 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

** Purpose*
* As a Manager, Data Scientist in the Global Finance Data Science Team, you will develop data science products, including the application of Generative AI techniques, to deliver practical, high‑impact solutions within Global Finance.

This role combines advanced data science with software engineering. In addition to developing analytical and machine learning models, you will be responsible for engineering production‑ready applications and integrations that embed insights and automation into Finance and Compliance workflows at enterprise scale.

You will work alongside a global team of Data Scientists, Data Engineers, Machine Learning Engineers, and Finance partners to execute the Global Finance AI roadmap, reduce manual effort through automation, and improve decision quality and user experience.

** You will be responsible for:*
* + Develop end‑to‑end data science solutions, including business problem understanding, data preparation, modeling, visualization, insight generation, and communication to senior stakeholders.

+ Apply Generative AI methods to enhance analytics and decision support solutions, ensuring outputs are accurate, explainable, and aligned with Legal, Compliance, and IT policies.

+ Design and maintain  
** structured prompting and configuration strategies
** to ensure consistent, reliable behavior of Generative AI models in production environments.

+ Build  
** workflow‑oriented AI solutions
** that integrate models with enterprise data, tools, and business logic to support multi‑step Finance and Compliance processes.

+ Write production‑level, scalable code in Python or R and implement machine learning and statistical models for predictive analytics, time series forecasting, decision support, NLP, and GenAI use cases.

+ Execute projects end‑to‑end, from proof‑of‑concept to full production deployment, including integration with end‑user systems and processes.

+ Build and automate data processing and modeling pipelines, including orchestration of workflows and deployment of models into production.

+ Develop and operate  
** user‑facing applications, APIs, or services
** that surface actionable insights and automation to Finance and Compliance users.

+ Ensure production solutions meet enterprise requirements for scalability, security, monitoring, documentation, and maintainability.

+ Partner with Technology, Finance Systems & Data, Compliance, and Data Engineering teams to ensure solutions are adopted, supported, and continuously improved.

+ Stay current with evolving data science and AI techniques and responsibly apply them to business problems.

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* Quali…