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Senior Manager, Data Science
Johnson & Johnson. Lead a portfolio of data science, AI, and advanced analytics initiatives aligned with Finance priorities .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in leading data science and AI initiatives within finance, focusing on forecasting, predictive modeling, and advanced analytics. Proven ability to manage teams, influence stakeholders, and establish standards for model governance and data quality.
Highest-signal resume keywords
Data Science LeadershipForecasting Solution DevelopmentMachine Learning ProficiencyStakeholder InfluenceFinance Process Understanding
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data ScienceAdvanced AnalyticsPredictive ModelingStatistical ModelingMachine LearningForecastingOptimizationPythonRSQL
Soft Skills
Team ManagementCoachingCross-Functional CollaborationInfluencing
Tools & Technologies
Cloud Data PlatformsBusiness Intelligence Tools
Industry Keywords
A2RP2PI2CModel GovernanceData QualityResponsible AI
Tech Stack
Tools & technologiesCloudPythonSQL
About the role
Key responsibilities & impact- Lead a portfolio of data science, AI, and advanced analytics initiatives aligned with Finance priorities
- Manage forecasting solution design, model development, validation, deployment, monitoring, and improvement
- Improve A2R, P2P, and I2C processes through data science, automation, and AI
- Partner with Finance, Technology, and cross-functional stakeholders on analytical roadmaps and scalable solutions
- Oversee analytical products and decision-support tools
- Manage, coach, and develop data scientists and analytics professionals
- Establish standards for model governance, data quality, documentation, validation, controls, and responsible AI
- Drive adoption of data science and AI solutions and measure business impact
Requirements
What you’ll need- 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
- Experience leading people and complex analytical workstreams
- Experience developing and operationalizing forecasting, predictive modeling, optimization, or other advanced analytics solutions
- Experience managing and mentoring data science and analytics professionals
- Experience influencing stakeholders in a matrixed global environment
- Strong understanding of finance processes, including A2R, P2P, and I2C
- Proficiency in Python or R, SQL, machine learning, statistical modeling, cloud data platforms, and business intelligence tools
- English required; additional languages a plus
- Willingness to travel up to approximately 10–15%, primarily domestically
Benefits
Comp & perks- Inclusive work environment
- Employee wellness, career, and life support resources
- Interview process accommodations for applicants with disabilities
- Equal opportunity employment