Finance Data Science Manager - Forecasting & AI

Biopharma Careers; Raynham (MA); On-site; USD 180,000 - 240,000; Full time

Benefits offered by this job

Hybrid work model

Career development

Job summary

Johnson & Johnson in Raynham, MA seeks a Senior Manager, Data Science to lead a team delivering scalable analytics across Account to Report, Procure to Pay and Invoice to Cash. You will partner with Finance and Technology to translate priorities into impactful analytics products, driving forecasting accuracy and cost efficiency.

The role emphasizes governance, responsible AI, and talent development in a regulated healthcare environment with up to 10–15% travel.

Qualifications

• Bachelor's degree in a quantitative field is required; Master's preferred.
• 6–8 years in data science/advanced analytics with leadership experience.
• Strong skills in forecasting, modeling, and analysis for finance processes.

Responsibilities

• Lead data science, AI, and analytics initiatives aligned with Finance priorities.
• Oversee forecasting design, model development, validation, deployment and monitoring.
• Translate business needs into analytical roadmaps and scalable solutions.
• Coach data scientists, promote governance, and drive responsible AI practices.
• Embed analytics into finance processes (A2R, P2P, I2C) and measure impact.

Skills

Leadership

Data science

Forecasting

Python

R

SQL

Cloud platforms

BI tools

Education

Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, Engineering, Finance, Economics

Master's degree in Data Science, Statistics, Computer Science, Business Analytics, Finance

Tools

Python

R

SQL

Cloud platforms

Business Intelligence tools

Job description

Johnson & Johnson in Raynham, MA seeks a Senior Manager, Data Science to lead a team delivering scalable analytics across Account to Report, Procure to Pay and Invoice to Cash. You will partner with Finance and Technology to translate priorities into impactful analytics products, driving forecasting accuracy and cost efficiency.

The role emphasizes governance, responsible AI, and talent development in a regulated healthcare environment with up to 10–15% travel.