Senior Manager, Data Science

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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, Finance, or a related discipline.

Experience and Skills:

Required:

• Typically, 6-8 years of progressive experience in data science, advanced analytics, machine learning, or related quantitative roles, including experience leading people and complex analytical workstreams.
• Demonstrated experience developing and operationalizing forecasting, predictive modeling, optimization, or other advanced analytics solutions.
• Experience managing and mentoring data science and analytics professionals and influencing stakeholders in a matrixed global environment.
• Strong understanding of finance processes and the ability to identify opportunities for data science and AI to improve efficiency, controls, and decision-making across Account to Report (A2R), Procure to Pay (P2P), and Invoice to Cash (I2C).
• Strong proficiency in relevant data science technologies and methods, such as Python or R, SQL, machine learning, statistical modeling, cloud data platforms, and business intelligence tools.

Preferred:

• Experience applying data science and AI within Finance or another complex business function in a global, highly regulated environment.
• Experience with generative AI, intelligent automation, MLOps, model governance, or responsible AI practices.

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