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Johnson & Johnson

Makes prescription drugs and medical devices

Data Science Manager

Data ScienceUpdated on Nov 9
Full-time$140k - $241.5k

About the Job

Requirements

  • A bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, Engineering, Finance, Economics, or a related quantitative field is required.
  • Typically, 6–8 years of progressive experience in data science, advanced analytics, machine learning, or related quantitative roles is required, including experience leading people and complex analytical workstreams.
  • Experience developing and operationalizing forecasting, predictive modeling, optimization, or other advanced analytics solutions is required.
  • Experience managing and mentoring data science and analytics professionals and influencing stakeholders in a matrixed global environment is required.
  • Strong understanding of finance processes and ability to identify opportunities for data science and artificial intelligence to improve efficiency, controls, and decision-making across Account to Report, Procure to Pay, and Invoice to Cash is required.
  • 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 is required.
  • English is required.

Responsibilities

  • Lead a portfolio of data science, artificial intelligence, 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, Procure to Pay, and Invoice to Cash processes through data science, automation, and artificial intelligence.
  • Partner with Finance, Technology, and other 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 convert 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 artificial intelligence in a regulated environment.
  • Drive adoption and sustained value by embedding data science and artificial intelligence solutions into business processes, measuring impact, and supporting change management.

Desired Qualifications

  • A master's degree in Data Science, Statistics, Computer Science, Business Analytics, Finance, or a related discipline is preferred.
  • Experience applying data science and artificial intelligence within Finance or another complex business function in a global, highly regulated environment.
  • Experience with generative artificial intelligence, intelligent automation, MLOps, model governance, or responsible artificial intelligence 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 are a plus.
  • Analytics, finance, or project management certifications are preferred but not required.

About the Company

Johnson & Johnson

Makes prescription drugs and medical devices

Johnson & Johnson develops prescription medicines and makes medical devices for hospitals, and unlike most big drugmakers, it runs both businesses under one roof. In 2015, its Darzalex became the first antibody drug approved for multiple myeloma, a blood cancer. Its medicines treat cancer, immune diseases such as psoriasis, and mental illnesses such as depression, and patented drugs bring in most of its sales. Its MedTech unit makes heart pumps, catheters that treat irregular heartbeats, surgical sutures, and Acuvue contact lenses. It was founded in 1886 to make sterile surgical dressings, is based in New Brunswick, New Jersey, and spun off its consumer brands, such as Tylenol and Band-Aid, as Kenvue in 2023.

Company size
10,001+
Company stage
IPO
Headquarters
New Brunswick, NJ
Founded
1886

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