Finance Data Science Manager: Forecasting & AI Leadership

Brighter Signals; Warsaw (IN); On-site; USD 137,000 - 236,000; Full time

Job summary

Johnson & Johnson’s DePuy Synthes division seeks a Manager, Data Science to lead analytics across Account to Report, Procure to Pay, and Invoice to Cash. You will shape strategy, supervise a team of data scientists, and deliver scalable, business-focused AI solutions that improve forecasting and decision-making.

You will collaborate with Finance, Technology, and cross-functional partners to translate priorities into actionable analytics roadmaps while upholding governance and responsible AI

Qualifications

• Bachelor’s degree in a quantitative field is required.
• Master’s degree preferred in a related discipline.
• 6–8 years in data science or analytics with leadership experience.

Responsibilities

• Lead data science, AI, and analytics initiatives aligned with Finance priorities.
• Guide forecasting, model development, validation, and deployment.
• Improve A2R, P2P, I2C processes through data science and automation.
• Translate business needs into analytical roadmaps and use cases.
• Develop analytical products and decision-support tools for leadership.
• Coach data scientists, foster collaboration, and define governance standards.
• Promote responsible AI and governance within regulated environments.
• Drive adoption of analytics and measure impact across processes.

Skills

Python

R

SQL

Machine learning

Cloud data platforms

Business intelligence tools

Education

Bachelor’s degree in Data Science/Statistics/Math/CS/Engineering/Finance/Economics

Master’s degree preferred

Tools

SQL

Cloud platforms

BI tools

Job description

Johnson & Johnson’s DePuy Synthes division seeks a Manager, Data Science to lead analytics across Account to Report, Procure to Pay, and Invoice to Cash. You will shape strategy, supervise a team of data scientists, and deliver scalable, business-focused AI solutions that improve forecasting and decision-making.

You will collaborate with Finance, Technology, and cross-functional partners to translate priorities into actionable analytics roadmaps while upholding governance and responsible AI