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Senior Manager, Data Science

Job in Raynham, Bristol County, Massachusetts, 02767, USA
Listing for: Johnson & Johnson Co.
Full Time position
Listed on 2026-10-26
Job specializations:
  • IT/Tech
    Data Science Manager, Data Analyst, Data Scientist, AI Engineer (Applied/Software)
Salary/Wage Range or Industry Benchmark: 137000 - 235750 USD Yearly USD 137000.00 235750.00 YEAR
Job Description & How to Apply Below

At Johnson & Johnson,we believe health is everything. Our strength in healthcare innovation empowers us to build aworld 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:
Palm Beach Gardens, Florida, United States of America, Raritan, New Jersey, United States of America, Raynham, Massachusetts, United States of America, Warsaw, Indiana, United States of America, West Chester, Pennsylvania, United States of America

Job Description:

DePuy Synthes is recruiting for a Manager, Data Science .This role can be based in Raynham, MA, West Chester, PA, or Raritan, NJ, The Data Science Manager plays a key leadership role in advancing data science, artificial intelligence, and analytics capabilities across Finance. This position leads a team responsible for developing scalable, business-focused solutions that improve forecasting, strengthen decision-making, and drive efficiency across Account to Report (A2R), Procure to Pay (P2P), and Invoice to Cash (I2C) processes.

The manager partners closely with Finance, Technology, and cross-functional stakeholders to translate business priorities into high-impact analytical products and to promote responsible, governed adoption of data science and AI. The role offers the opportunity to shape the team’s strategy, develop talent, and deliver measurable value across a broad portfolio of finance priorities.

Key Responsibilities

Lead a portfolio of data science, AI, and advanced analytics initiatives aligned with Finance priorities and measurable business outcomes.

Manage forecasting initiatives by guiding solution design, model development, validation, deployment, performance monitoring, and continuous improvement.

Identify and deliver opportunities to improve the efficiency, accuracy, and effectiveness of Account to Report (A2R), Procure to Pay (P2P), and Invoice to Cash (I2C) processes through data science, automation, and AI.

Partner with Finance, Technology, and other cross-functional stakeholders to translate business needs into clear analytical roadmaps, prioritized use cases, and scalable solutions.

Oversee the development of analytical products and decision-support tools that convert complex financial and operational data into clear, actionable insights.

Manage, coach, and develop data scientists and analytics professionals, fostering technical excellence, collaboration, accountability, and an inclusive high-performance culture.

Establish and maintain standards for model governance, data quality, documentation, validation, controls, and responsible AI in a regulated environment.

Drive adoption and sustained value by embedding data science and AI solutions into business processes, measuring impact, and supporting change management.

Qualifications

Education:

Required:

Bachelor’s degree in Data Science, Statistics, Mathematics, Computer Science, Engineering, Finance, Economics, or a related quantitative field. Preferred:
Master’s degree in Data Science, Statistics, Computer Science, Business Analytics,…

Position Requirements
10+ Years work experience
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