Manager, Data Science Global Finance

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

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 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 highimpact solutions within Global Finance.

This role combines advanced data science with software addition to developing analytical and machine learning models you will be responsible for engineering productionready 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 endtoend 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 workfloworiented AI solutions that integrate models with enterprise data tools and business logic to support multistep Finance and Compliance processes.

• Write productionlevel 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 endtoend from proofofconcept to full production deployment including integration with enduser systems and processes.

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

• Develop and operate userfacing 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.

• Bachelors degree required (preferred fields include Computer Science Engineering Data Science Business Analytics Finance or other quantitative/STEM disciplines); Masters 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.

• Handson 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 AIenabled systems that support multistep workflows (sometimes referred to as agentbased or toolenabled approaches) rather than singleresponse 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 proofofconcept to production deployment.

• Strong foundation in machine learning statistics data engineering concepts and software development.

• Experience collaborating with crossfunctional 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 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 $117000 to $201250 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 Companys consolidated retirement plan (pension) and savings plan (401(k)). This position is eligible to participate in the Companys 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. Experience:

Manager