Senior Manager, Data Science

Johnson & Johnson Innovative Medicine • Warsaw, IN

2d • $140,000 - $241,500 • Hybrid

About The Position

DePuy Synthes is recruiting a Data Science Manager, a leadership role advancing data science, artificial intelligence, and analytics capabilities across Finance. The position leads a team developing scalable, business-focused solutions to improve forecasting, decision-making, and efficiency across Account to Report (A2R), Procure to Pay (P2P), and Invoice to Cash (I2C) processes. The manager partners with Finance, Technology, and cross-functional stakeholders to turn business priorities into analytical products and promote responsible, governed adoption of data science and AI. The role also shapes team strategy, develops talent, and delivers measurable value across Finance priorities.

The position may be based in Raynham, Massachusetts; West Chester, Pennsylvania; or Raritan, New Jersey. Travel is up to approximately 10–15%, primarily domestic. The job posting describes a planned separation of Johnson & Johnson’s Orthopaedics business; after the transaction, the employee is anticipated to become an employee of DePuy Synthes, subject to completion of the transaction and applicable conditions.

Requirements

• Bachelor’s degree in Data Science, Statistics, Mathematics, Computer Science, Engineering, Finance, Economics, or a related quantitative field.
• 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 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.
• English language proficiency.

Nice To Haves

• Master’s degree in Data Science, Statistics, Computer Science, Business Analytics, Finance, or a related discipline.
• 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.
• Change management or transformation experience supporting adoption of new analytical capabilities and ways of working.
• Familiarity with enterprise data architectures, finance data models, ERP systems, and cloud-based analytics platforms.
• Ability to communicate complex analytical concepts clearly and translate data into actionable recommendations for senior leaders.
• Additional languages.
• Analytics, finance, or project management certifications.

Responsibilities

• Lead a portfolio of data science, AI, and advanced analytics initiatives aligned with Finance priorities and measurable business outcomes.
• Guide forecasting 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 cross-functional stakeholders to translate business needs into analytical roadmaps, prioritized use cases, and scalable solutions.
• Oversee development of analytical products and decision-support tools that turn financial and operational data into 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.

What This Job Offers

• Job Type: Full-time
• Career Level: Manager