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Senior Manager, Data Science

Johnson & Johnson
Raynham, USA
Full-time
Senior · 6–8 years experience
Hybrid
Discovered Today
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Full Job Posting

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.
  • 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.
  • Other:
  • Language: English required; additional languages a plus.
  • Travel: Up to ~10–15%, primarily domestic.
  • Certifications: Analytics, finance, or project management certifications preferred but not required.
  • For more information on how we support the whole health of our employees throughout their wellness, career and life journey, please visit www.careers.jnj.com.
  • Johnson & Johnson announced plans to separate our Orthopaedics business to establish a standalone orthopaedics company, operating as DePuy Synthes. The process of the planned separation is anticipated to be completed within 18 to 24 months, subject to legal requirements, including consultation with works councils and other employee representative bodies, as may be required, regulatory approvals and other customary conditions and approvals. Should you accept this position, it is anticipated that, following conclusion of the transaction, you would be an employee of DePuy Synthes and your employment would be governed by DePuy Synthes employment processes, programs, policies, and benefit plans. In that case, details of any planned changes would be provided to you by DePuy Synthes at an appropriate time and subject to any necessary consultation processes.
  • Johnson & Johnson is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, protected veteran status or other characteristics protected by federal, state or local law. We actively seek qualified candidates who are protected veterans and individuals with disabilities as defined under VEVRAA and Section 503 of the Rehabilitation Act.
  • Johnson & Johnson is committed to providing an interview process that is inclusive of our applicants’ needs. If you are an individual with a disability and would like to request an accommodation, external applicants please contact us via https://www.jnj.com/contact-us/careers, internal employees contact AskGS to be directed to your accommodation resource.
  • #LI-Hybrid
  • #DePuySynthesCareers

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
  • The anticipated base pay range for this position is:
  • $137,000.00 - $235,750.00
  • Additional Description for Pay Transparency:
  • Preferred: Master’s degree in Data Science, Statistics, Computer Science, Business Analytics, Finance, or a related discipline.
  • Language: English required; additional languages a plus.
  • Certifications: Analytics, finance, or project management certifications 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 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.

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