Data Quality Manager — Lead Strategy & AI-Ready Data

Johnson & Johnson Co.; Titusville (NJ); Presencial; USD 117.000 - 201.000; Jornada completa

Descripción de la vacante

Johnson & Johnson seeks a Manager, Data Quality to lead improvements across the One Data Platform. You will set data quality standards, oversee profiling, validation, and remediation, and partner with business teams to ensure trustworthy data for reporting, analytics, and AI initiatives.

Ideal candidates bring 5+ years in data quality within enterprise data environments, strong stakeholder skills, and experience with cloud data platforms such as Snowflake and AWS.

Formación

• Minimum Bachelor's degree in information systems, data analytics, computer science, engineering, business, life sciences, or related field.
• 5+ years of progressive experience in data quality or data management with data-health controls and issue remediation.
• Strong knowledge of pharmaceutical industry and commercial pharma data processes.
• Experience with data used for AI, ML, or advanced analytics.

Responsabilidades

• Lead data quality strategy and execution for enterprise data, including standards, controls, and readiness checks.
• Operate data profiling, validation, reconciliation, and issue triage across the One Data Platform.
• Monitor dashboards, identify trends, and drive corrective/preventive actions with cross-functional teams.
• Collaborate with business teams to ensure data supports customer, accounts, sales, market access, and incentive data.
• Provide leadership for delivery partners and ensure timely data quality remediation.

Conocimientos

Data quality

Data analysis

Stakeholder management

Leadership

SQL

Problem solving

Communication

Educación

Bachelor's degree in information systems, data analytics, computer science, engineering, business, life sciences, or related field

Herramientas

Snowflake

AWS

ETL/ELT

Data quality tools

Descripción del empleo

Johnson & Johnson seeks a Manager, Data Quality to lead improvements across the One Data Platform. You will set data quality standards, oversee profiling, validation, and remediation, and partner with business teams to ensure trustworthy data for reporting, analytics, and AI initiatives.

Ideal candidates bring 5+ years in data quality within enterprise data environments, strong stakeholder skills, and experience with cloud data platforms such as Snowflake and AWS.