Manager, Enterprise Data Steward

At Johnson & Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal. Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity. Learn more at jnj.com

As guided by Our Credo, Johnson & Johnson is responsible to our employees who work with us throughout the world.  We provide an inclusive work environment where each person is considered as an individual.  At Johnson & Johnson, we respect the diversity and dignity of our employees and recognize their merit.

Job Function:

Data Analytics & Computational Sciences

Job Sub Function:

Data Governance & Policy

Job Category:

Professional

All Job Posting Locations:

Raritan, New Jersey, United States of America

Job Description:

Johnson & Johnson is recruiting for a Manager, Enterprise Data Steward located in Raritan, NJ, with considerations given to other J&J site locations in EMEA, AIPAC, or LATAM.

Please note that this role is available across multiple countries and may be posted under different requisition numbers to comply with local requirements. While you are welcome to apply to any or all of the postings, we recommend focusing on the specific country(s) that align with your preferred location(s):

US- Requisition Number: R-060855

EMEA - Requisition Number: R-062794

ASPAC - Requisition Number: R-062799

LATAM- Requisition Number: R-063083

Remember, whether you apply to one or all of these requisition numbers, your applications will be considered as a single submission.

Position Summary

The Enterprise Data Steward is responsible for ensuring the accuracy, consistency, and governance of master data across J&J systems. This role serves as the subject matter expert for Enterprise aligned data, driving data quality initiatives, compliance with global standards, and alignment with business and regulatory requirements.

Major Duties/Responsibilities

• Master Data Governance: Define and enforce policies, standards, and procedures for Customer data creation, maintenance, and deactivation in ERP systems.  Define, enforce, and continuously improve customer data standards, taxonomies, and master data policies cross sectors. 
• Data Quality Management: Define and implement data quality tests based on established data standards and business rules. Monitor and improve data quality through profiling, cleansing, and validation activities. Collaborate with business units to resolve data issues.
• Stewardship: Act as the primary liaison between business stakeholders and IT for Customer data-related ERP enhancements. Define system configurations, requirements for integrations, and data migrations rules from legacy systems into S4.  Own end-to-end stewardship of the customer master across sectors for enterprise owned fields, Metadata & Lineage Documentation: Maintain comprehensive documentation of data definitions, lineage, and usage across systems in Alation. 
• Compliance & Risk Mitigation: Ensure data complies with internal controls, audit requirements, and external regulations (e.g., SOX, GDPR).
• Collaboration & Training: Partner with Commercial, Contacting and Finance to align data practices. Develop training materials, deliver training, and provide ongoing support to system users and data entry teams.  Provide training, operational handover and support for master data sector stewards and Data Operation team as needed.

Process Improvement & Innovation

• Identify and drive continuous improvement opportunities within supply chain and business processes, leveraging industry best practices and innovative solutions. 
• Document and implement standard guidelines, tools, and best practices to enhance operational efficiency and service excellence.
• Support change management initiatives, ensuring successful adoption of new processes and technologies.
• Data quality score (composite measure of accuracy, completeness, timeliness). 

Leadership & Team Collaboration

• Model collaborative behaviors and support a high-performing, inclusive team culture. 
• Contribute to cross-enterprise thinking and fact-based decision-making, operating eff