Role Summary
The Enterprise Data Steward is responsible for ensuring the accuracy, consistency, and governance of master data across Johnson & Johnson systems. This role serves as the subject matter expert for enterprise-aligned data, driving data quality initiatives and ensuring alignment with global standards, business needs, and regulatory requirements. Location: Raritan, NJ, with possible postings at other J&J sites in EMEA, AIPAC, or LATAM.
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 and 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, Contracting 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 effectively in a complex, matrixed environment.
Qualifications
- Required: 8-10 years of data experience.
- Preferred: Experience in Supply Chain ERP; knowledge in SAP S4HANA and SAP MDG.
- Required: A minimum of 5 years of data management experience leading and running large programs; experience with data governance frameworks and operating models.
- Required: Define, document and enforce SAP-specific master data policies: account groups, number ranges, field level required partner functions, customer hierarchies, pricing master linkages, and master data views (Sales, Company Code, etc.).
- Required: Demonstrable ability to work in multi-functional and cross-company teams, fostering collaboration and alignment. Excellent organizational and prioritization skills.
- Required: Strong analytical and problem-solving skills, with a data-driven approach to decision-making. Monitor and maintain data quality rules, dashboards and exception queues in SAP MDG, S/4HANA, or data quality tools; drive automated remediation and manual resolution processes.
- Required: Skilled at eliciting business needs through effective questioning, listening, and translating those into technical requirements.
- Required: Exceptional communication, interpersonal, and influencing skills to lead change and drive adoption across diverse partner groups.
- Required: Ability to prioritize multiple initiatives within timelines, where priorities change rapidly.
- Required: Strong conflict resolution and consensus-building skills.
- Required: Knowledge and application of AI technology within responsibilities of role.
- Preferred: Deep technical understanding of Master Data and its governance across enterprise systems.
- Preferred: Proven experience in SAP master data management or data stewardship roles.
- Preferred: Strong understanding of SAP ECC/S4 HANA data structures and processes.
- Preferred: Business Analysis Tools: Familiarity with project management and data visualization tools (Visio, JIRA, Tableau).
- Preferred: Analytical Skills: Strong ability to interpret data and draw actionable insights.
- Preferred: Problem-Solving Ability: Capacity to identify issues and develop effective solutions.
- Preferred: Advanced Excel, PowerPoint, Word, and Co-Pilot: Strong proficiency with Microsoft Office Suite and enterprise analytics tools.
- Preferred: Adaptability: Flexibility to adjust in response to changing environments.
Education
- Bachelorβs Degree or equivalent
Skills
- Data governance and policy development
- Data quality management and remediation
- SAP MDG and SAP S/4HANA data management
- Master data management across ERP and enterprise systems
- Metadata and lineage documentation (Alation)
- Cross-functional collaboration and stakeholder management
- Training and enablement for data users
- Analytical thinking and data-driven decision making
- Communication and change leadership