Senior Manager, Data Science

Johnson & Johnson

. Lead a portfolio of data science, AI, and advanced analytics initiatives aligned with Finance priorities and measurable business outcomes .

Posted 10/23/2026full-timeUnited StatesSenior💰 $137,000 - $235,750 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in leading data science and advanced analytics initiatives, with a strong focus on finance processes and measurable business outcomes. Proficient in managing teams, developing forecasting solutions, and ensuring model governance and data quality.

Highest-signal resume keywords

Data Science LeadershipForecasting Solution DevelopmentMachine Learning ProficiencyFinance Process UnderstandingStakeholder Influence

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data ScienceAdvanced AnalyticsPredictive ModelingStatistical ModelingMachine LearningForecastingOptimizationData QualityModel GovernanceAutomation

Soft Skills

CoachingMentoringChange ManagementCollaborationInfluencing

Tools & Technologies

PythonRSQLCloud Data PlatformsBusiness Intelligence Tools

Industry Keywords

Account to Report (A2R)Procure to Pay (P2P)Invoice to Cash (I2C)Analytics RoadmapsDecision-Support Tools

Tech Stack

Tools & technologies

CloudPythonSQL

About the role

Key responsibilities & impact

Lead a portfolio of data science, AI, and advanced analytics initiatives aligned with Finance priorities and measurable business outcomes
Manage forecasting solution design, model development, validation, deployment, performance monitoring, and continuous improvement
Improve A2R, P2P, and I2C processes through data science, automation, and AI
Partner with Finance, Technology, and cross-functional stakeholders to create analytical roadmaps, prioritized use cases, and scalable solutions
Oversee analytical products and decision-support tools that convert financial and operational data into actionable insights
Manage, coach, and develop data scientists and analytics professionals
Establish standards for model governance, data quality, documentation, validation, controls, and responsible AI
Drive adoption and sustained value by embedding solutions into business processes, measuring impact, and supporting change management

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, including 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 and influencing stakeholders in a matrixed global environment
Strong understanding of finance processes across Account to Report (A2R), Procure to Pay (P2P), and Invoice to Cash (I2C)
Proficiency in Python or R, SQL, machine learning, statistical modeling, cloud data platforms, and business intelligence tools
English required
Ability to travel up to approximately 10–15%, primarily domestic

Benefits

Comp & perks

Inclusive work environment
Employee wellness, career, and life support resources
Interview accommodations for applicants with disabilities
Equal opportunity employment