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**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
Job Description:
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 https://www.jnj.com/innovative-medicine
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.
Qualifications / Requirements:
Minimum of 6 years of relevant industry experience.
Bachelor’s degree required (preferred fields include Computer Science, Engineering, Data Science, Business Analytics, Finance, or other quantitative/STEM disciplines); Master’s degree preferred.
Proven experience building production applications that operationalize analytics or machine learning (e.g., web applications, backend services, APIs, or workflow tools), beyond exploratory analysis or notebooks.
Hands‑on experience implementing and maintaining Generative AI solutions in production, including:
- Structured prompting approaches
- Integration with enterprise data sources or tools
- Validation, guardrails, and quality controls to ensure reliable outputs.
Experience developing AI‑enabled systems that support multi‑step workflows (sometimes referred to as agent‑based or tool‑enabled approaches) rather than single‑response use cases.
Experience deploying, running, and supporting solutions in AWS and/or Azure environments using enterprise services, such as: SageMaker, ECS or EKS, Lambda, API Gateway, Step Functions, CloudWatch / Azure Machine Learning, AKS, App Service, Functions, API Management, Azure Data Factory, Azure Monitor / Application Insights
Strong engineering practices, including version control, documentation, automated workflows, monitoring, and support of production systems.
Demonstrated experience executing Data Science projects from initiation through proof‑of‑concept to production deployment.
Strong foundation in machine learning, statistics, data engineering concepts, and software development.
Experience collaborating with cross‑functional stakeholders, including senior leaders, in regulated or large enterprise environments.
Other:
- Remote work options may be considered on a case-by-case basis and if approved by the Company.
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.
Required Skills:
Preferred Skills:
Advanced Analytics, Compliance Management, Critical Thinking, Data Analysis, Data Privacy Standards, Data Quality, Data Reporting, Data Savvy, Data Science, Data Visualization, Developing Others, Digital Fluency, Give Feedback, Inclusive Leadership, Leadership, Proactive Behavior, Resource Allocation, Strategic Thinking, Team Management
The anticipated base pay range for this position is :
The anticipated base pay range for this position is $117,000 to $201,250 USD.
Additional Description for Pay Transparency:
Subject to the terms of their respective plans, employees and/or eligible dependents are 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. 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. 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 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 Condolence Leave – 30 days for an immediate family member: 5 days for an extended family member Caregiver Leave – 10 days Volunteer Leave – 4 days Military Spouse Time-Off – 80 hours Additional information can be found through the link below. https://www.careers.jnj.com/employee-benefits