Senior Manager, Data Science

About the role

DePuy Synthes is recruiting for a Manager, Data Science to lead a portfolio of data science, AI, and advanced analytics initiatives aligned with Finance priorities. This role can be based in Raynham, MA, West Chester, PA, or Raritan, NJ. The manager partners closely with Finance, Technology, and cross-functional stakeholders to translate business needs into scalable analytical products, oversee model governance, and drive adoption of data science solutions across Account to Report (A2R), Procure to Pay (P2P), and Invoice to Cash (I2C) processes.

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 A2R, P2P, and 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.

Requirements

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

• 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 A2R, P2P, and 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.
• Preferred: Experience with generative AI, intelligent automation, MLOps, model governance, or responsible AI practices.
• Preferred: Change management or transformation experience supporting adoption of new analytical capabilities and ways of working.
• Preferred: Familiarity with enterprise data architectures, finance data models, ERP systems, and cloud-based analytics platforms.
• Proven ability to communicate complex analytical concepts clearly and translate data into actionable recommendations for senior leaders.

Other

• Language: English required; additional languages a plus.
• Certifications: Analytics, finance, or project management certifications preferred but not required.

Skills

Required Skills

• Analytical Reasoning
• Budgeting
• Business Savvy
• Consulting
• Econometric Models
• Financial Analysis
• Financial Competence
• Financial Forecasting
• Financial Modeling
• Financial Planning
• Financial Reports
• Financial Risk Management (FRM)
• Industry Analysis
• Internal Controls
• Organizing
• Project Management
• Technical Credibility

Preferred Skills

• Analytical Reasoning
• Budgeting
• Business Savvy
• Consulting
• Econometric Models
• Financial Analysis
• Financial Competence
• Financial Forecasting
• Financial Modeling
• Financial Planning
• Financial Reports
• Financial Risk Management (FRM)
• Industry Analysis
• Internal Controls
• Organizing
• Project Management
• Technical Credibility

Pay

The anticipated base pay range for this position is $137,000.00 – $235,750.00.

Schedule

Travel up to ~10–15%, primarily domestic.