Lead Data & AI Analyst — Commercial Insights & GenAI

Johnson & Johnson MedTech; United States; Remote; USD 94,000 - 152,000; Full time

Benefits offered by this job

Vacation time

Sick time

Floating holidays

Parental Leave

Volunteer Leave

Job summary

Johnson & Johnson MedTech is seeking a Lead Analyst, Commercial Data & AI to drive end-to-end analytics and AI enablement for global Commercial systems. You will build trusted data assets, deliver predictive insights, and partner with Marketing, Product, Sales, and Data Strategies to ensure data quality and responsible AI practices.

You will mentor analysts, govern data assets, and define KPI frameworks to translate business needs into actionable data models and executive-ready recommendations.

Qualifications

• 5+ years in analytics, data science, or marketing analytics.
• Hands-on CRM/lifecycle measurement experience.
• Proven ability to translate business questions into data-driven recommendations.
• Experience with CRM platforms and data privacy concepts.
• Excellent written and verbal communication for executive audiences.

Responsibilities

• Build and govern customer data assets and source-of-truth datasets.
• Monitor and improve data accuracy, completeness, and consistency.
• Prototype and evaluate GenAI use cases for commercial enablement.
• Collaborate with cross-functional stakeholders to prioritize analytics work.
• Define KPI frameworks and deliver data-driven insights to leaders.
• Ensure governance and bias mitigation in AI initiatives.
• Mentor analysts on SQL, data quality, and reproducibility.

Skills

Advanced SQL

CRM analytics

Data modeling

Alteryx Designer

Cross-functional collaboration

Tools

Salesforce Life Science Cloud

Marketing Cloud

Movemedical

Tableau Server

Power BI

Snowflake

Job description

Johnson & Johnson MedTech is seeking a Lead Analyst, Commercial Data & AI to drive end-to-end analytics and AI enablement for global Commercial systems. You will build trusted data assets, deliver predictive insights, and partner with Marketing, Product, Sales, and Data Strategies to ensure data quality and responsible AI practices.

You will mentor analysts, govern data assets, and define KPI frameworks to translate business needs into actionable data models and executive-ready recommendations.