- As Lead Analyst, Vendor Master Data you will be responsible for oversight and execution of day-to-day operations of Material Master Data Governance on a global scale.

- You will design and manage data workflows, as well as drive robust data quality and compliance with internal and external data regulations, policies, and procedures (GXP, SOX, PII).

- Your work will play a key role in supporting the Kenvue Operations organization and Digital Transformation.

Key Responsibilities:

- Monitor and control data operations and data quality process for Material Master Data globally.

- Own 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.

- Coordinate 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[LR3].

- Monitor, analyze and communicate data quality, identify gaps, and make recommendations to improve data quality.

- Engage with business partners on tactical execution; serve as a key point of contact to functional partners, providing appropriate guidance on topics relating to Master Data and processes.

- Develop and deliver training to educate partners on detailed procedures, data flows, etc.

- Lead mid-sized projects and serve as subject matter expert on various data-related initiatives.

- Support Material master 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, and sometimes lead, operational and governance meetings including end-to-end, value capture, and third-party reviews.