Master Data Excellence (Project Based)

Context and Main Purpose of the Job

A Master Data Excellence role typically involves ensuring the accuracy, consistency, and reliability of an organization’s master data.

Project Objectives:

• Improving data accuracy & consistency.
• Ensure compliance with data governance policies.

Key Responsibilities / Focus Areas:

• Data Management: Design, implement, and maintain master data management systems and solutions.
• Data Quality: Analyze and troubleshoot data issues, ensuring data quality and accuracy.
• Collaboration: Work closely with business stakeholders to understand and gather data requirements.
• Data Standards: Define and implement data standards, policies, and procedures.
• Data Cleansing: Conduct data cleansing to remove old, unused, or duplicate data.
• Compliance: Ensure all master data complies with data privacy and protection regulations.
• Training: Provide training and support to end-users for proper use of data systems.
• Reporting: Prepare detailed reports on the statuses, results, and issues in data management activities

We highly encourage applicants to exclude information on age, gender, and school/s in view of Equity, Diversity, and Inclusion. Unilever assesses candidates based on skills, performance, experience and leadership.

Unilever is an organisation committed to equity, inclusion and diversity to drive our business results and create a better future, every day, for our diverse employees, global consumers, partners, and communities. We believe a diverse workforce allows us to match our growth ambitions and drive inclusion across the business. At Unilever we are interested in every individual bringing their ‘Whole Self’ to work and this includes you! Thus if you require any support or access requirements, we encourage you to advise us at the time of your application so that we can support you through your recruitment journey.