Master Data Governance Specialist
3 days ago
About Kenvue
We are the world's largest pure-play consumer health company by revenue. Built on more than a century of heritage, our iconic brands, including Aveeno, Johnsons, Listerine, and Neutrogena, are science-backed and recommended by healthcare professionals around the world. Our mission is to make everyday care extraordinary.
Our Global Team
We have 22,000 diverse and brilliant people who are passionate about insights, innovation, and committed to delivering the best products to our customers. With expertise and empathy, we put people first, care fiercely, earn trust with science, and solve with courage.
Job Summary
The Senior Analyst, VMD Operations will be responsible for overseeing and executing day-to-day operations of Vendor Master Data Governance on a global scale. This includes designing and managing data workflows, driving robust data quality, and ensuring compliance with internal and external data regulations, policies, and procedures.
Key Responsibilities
• Monitor and control data operations and data quality process for Vendor Master Data globally.
• Ensure data accuracy and completeness by regularly auditing and validating vendor information.
• Support documentation for area of responsibility, including Standard Operating Procedures (SOPs), Work Instructions (WIs), protocols, data quality catalogs, and other policy and procedure documents.
• Be responsible for compliance with relevant regulations and policies, including ensuring data records are thoroughly maintained in preparation for audits following established processes and protocols.
• Involvement in testing, error handling, data conversion and/or validation, audit/compliance actions (Non-Conformance (NC) and/or Corrective Action Preventive Action (CAPA)), and Service Level Agreements (SLAs).
• Execute data issue resolution efforts, partnering with cross-functional business process owners and data stewards to remediate data quality errors and build sustainable processes to drive high levels of data quality.
• Monitor, analyze, and communicate data quality, identify gaps, and make recommendations to improve data quality.
• Engage with business partners on tactical execution, providing appropriate guidance on topics relating to Master Data and processes.
• Deliver training to educate partners on detailed procedures, data flows, etc.
• Support mid-sized projects and serve as subject matter expert on various data-related initiatives.
• Support vendor-related projects across IT and business functions; ensure integration across systems/platform and lead data cleansing, creation, conversion, and validation as required.
• Complete change assessments define requirements, serve as point of escalation for both internal and external team members, strategic launches, and audit/compliance activities.
• Facilitate continuous improvement of existing data design, process, and templates to deliver better business outcomes.
• Support the deployment of the Data Management Framework.
• Participate in operational and governance meetings including end-to-end, value capture, and third-party reviews.
• Prepare metrics, dashboards, and tracking to facilitate efficient operations of the department.
Required Qualifications:
• Bachelor's degree
• Minimum 4+ years of business experience
• 2+ years of data management experience in the context of large ERP platforms
• Experience managing data related to direct vendors, indirect vendors, affiliates, and/or third parties
• Understanding of Vendor Mater Data and Procurement-related data elements and processes
• Knowledge of data governance, data quality, and compliance requirements (e.g., GXP, SOX, PII)
• Experience driving harmonization, process improvement, and value creation across functions, departments, and/or regions
• Ability to build strong collaborative relationships and influence diverse stakeholders in support of expected outcomes
• Strong Excel skills and ability to leverage data visualization tools (e.g., PowerBI) to generate insights
Estimated Salary: $120,000 - $180,000 per year
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