Lead Analyst - Commercial Data & GenAI

Johnson & Johnson MedTech; Florida; A distancia; USD 94.000 - 152.000; Jornada completa

Descripción de la vacante

Johnson & Johnson MedTech is seeking a Lead Analyst, Commercial Data & AI to advance analytical and AI enablement across global Commercial systems, delivering trusted datasets, KPI frameworks, and predictive solutions.

You will partner with Marketing, Product, Sales, and Data Strategies to ensure data quality, governance, and responsible AI, mentoring analysts and championing data-driven decisions across the organization.

Formación

• 5+ years of analytics, data science, or marketing analytics experience.
• Experience with CRM/lifecycle measurement and large datasets.
• Ability to translate business questions into analytical plans and data models.
• Knowledge of data privacy concepts in CRM and governance controls.

Responsabilidades

• Build and govern customer data assets with source-of-truth datasets.
• Monitor data quality, completeness, and consistency across systems.
• Prototype and evaluate GenAI use cases with guardrails and human validation.
• Lead analytics intake with CRM and Commercial platforms; translate questions into hypotheses.
• Define KPI frameworks and deliver data-driven insights to leadership.
• Mentor analysts on SQL, data quality, governance, and reproducibility.

Conocimientos

Advanced SQL

CRM analytics

GenAI concepts

Data governance

Executive communication

Hypothesis-driven analysis

Cross-functional partnering

Data privacy awareness

Herramientas

Salesforce Life Science Cloud

Marketing Cloud

Tableau Server

Power BI

Movemedical

AWS

Snowflake

Descripción del empleo

Johnson & Johnson MedTech is seeking a Lead Analyst, Commercial Data & AI to advance analytical and AI enablement across global Commercial systems, delivering trusted datasets, KPI frameworks, and predictive solutions.

You will partner with Marketing, Product, Sales, and Data Strategies to ensure data quality, governance, and responsible AI, mentoring analysts and championing data-driven decisions across the organization.