Senior Data Quality Manager, Enterprise Platform

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

Descripción de la vacante

Johnson & Johnson is seeking a Manager, Data Quality within Innovative Medicine. You will lead data quality strategy, governance, and operational excellence across the One Data Platform to ensure data is accurate, complete, and trusted for reporting, analytics, and AI.

Collaborating with commercial teams, data product owners, and external providers, you will implement controls, monitor data health, and drive remediation initiatives while fostering a culture of data quality across the enterprise.

Formación

• 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, including hands-on responsibility for defining controls, monitoring data health, and leading issue remediation in an enterprise data environment.
• Strong knowledge of the pharmaceutical industry and commercial pharma business processes, with practical domain knowledge of how commercial data supports customer engagement, field execution, reporting, analytics, and decision-making.
• Hands-on knowledge of commercial pharmaceutical data, including several of the following: Professional and account master data, affiliations, sales, claims, market access, payer, field activity, targeting, alignment, and incentive compensation.
• Experience defining data quality rules and applying core dimensions such as accuracy, completeness, consistency, timeliness, validity, and uniqueness.
• Experience supporting enterprise data platforms, cloud data environments, analytics platforms, or governed data products.
• Strong analytical, problem-solving, communication, facilitation, and stakeholder-management skills.
• Demonstrated experience leading cross-functional initiatives, setting priorities, influencing senior stakeholders, and coaching team members or delivery partners.
• Experience supporting data used for AI, machine learning, advanced analytics, or semantic data products.
• Experience applying AI-assisted techniques for data profiling, anomaly detection, rule generation, matching, classification, root-cause analysis, and issue prioritization.

Responsabilidades

• Lead the execution and continuous improvement of the data quality strategy across datasets, prioritizing critical commercial and enterprise data domains based on business impact and risk.
• Define and maintain data quality standards, controls, acceptance criteria, and monitoring practices.
• Establish quality requirements and readiness checks for onboarding new data sources and data products.
• Develop and track data quality metrics, scorecards, service expectations, and improvement plans.
• Help make data business-ready and AI-ready through consistent, measurable quality controls.
• Explore responsible use of AI-enabled methods to identify, explain, prioritize, and prevent data quality issues.
• Lead day-to-day data profiling, validation, reconciliation, exception management, and issue triage across ODP.
• Monitor data quality dashboards and identify trends, recurring defects, and operational risks.
• Coordinate root-cause analysis with data engineering, source-system teams, data providers, and business owners.
• Drive corrective and preventive actions, track issue ownership, and ensure timely remediation of priority defects.
• Validate that fixes address the underlying cause and do not create downstream business impact.
• Work with internal teams and external data providers to improve the quality, consistency, and timeliness of inbound commercial data.
• Partner with business teams supporting customer, account, affiliation, sales, prescription, market access, payer, field, targeting, alignment, and incentive compensation data.

Conocimientos

Data quality

Data governance

Stakeholder mgmt

SQL

Problem solving

Communication

Educación

Bachelor's degree in related field

Herramientas

Snowflake

Databricks

AWS

Azure

Descripción del empleo

Johnson & Johnson is seeking a Manager, Data Quality within Innovative Medicine. You will lead data quality strategy, governance, and operational excellence across the One Data Platform to ensure data is accurate, complete, and trusted for reporting, analytics, and AI.

Collaborating with commercial teams, data product owners, and external providers, you will implement controls, monitor data health, and drive remediation initiatives while fostering a culture of data quality across the enterprise.