Senior Manager, Data Science

Johnson & Johnson Innovative Medicine • Warsaw, IN

1d • $137,000 - $235,750 • Hybrid

About The Position

DePuy Synthes is recruiting for a Data Science Manager, based in Raynham, Massachusetts; West Chester, Pennsylvania; or Raritan, New Jersey. The role provides leadership for advancing data science, artificial intelligence, and analytics across Finance. It leads a team developing scalable, business-focused solutions to improve forecasting, strengthen decision-making, and increase 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 high-impact analytical products and promote responsible, governed adoption of data science and AI. The position also shapes team strategy, develops talent, and delivers measurable value across finance priorities.

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 is required.
• Travel up to approximately 10–15%, primarily domestic.

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.
• Proven ability to communicate complex analytical concepts clearly and translate data into actionable recommendations for senior leaders.
• Additional languages are a plus.
• Analytics, finance, or project management certifications are preferred but not required.

Responsibilities

• Lead a portfolio of data science, AI, and advanced analytics initiatives aligned with Finance priorities and measurable business outcomes.
• Manage forecasting initiatives, including 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 complex 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: Senior