1. Ensuring and maintain quality of the data Using feedback, concerns, questions; internally reporting metrics; evaluating and identifying issues; and coordinating and implementing corrections regularly

2. Master data control, Manage Data Governance, Principles, Policy, data standards and processes

• Master data- periodic report generation and review
• Master data Workflow role authorization review
• Conducts impact analysis on data change requests
• Review and check local and global data requests against standards and processes
• Data issue identification and resolution
• Solves local data quality issues
• Coordinate Local OpCo, regional and global data team on data topic and business data requirement change

3. Project implementation (related to master data)

• (Understanding Agile way of working)
• Master data validation and present of accuracy for the system or business project

Education and Work Experiences:

• Bachelor degree in Computer professional, MIS or related field;
• At least 1 years of data management Or proven experience in a data related role
• Master data, transactional data and (business intelligent) report experience
• -Experience with data analysis techniques
• Experience in business process improvement and quality
• Assurance

Leadership Expectations:

• Ability to connect and build trust through authentically empathy and logic
• Ability to shape the future by thinking big and setting a clear strategy
• Ability to develop, grow and motivate our people
• Ability to set and deliver against ambitious targets by raising the bar and taking ownership for results
• Ability to lead by example, promoting and role modelling the Heineken Behaviors in everything we do

Technical Skills:

• Knowledge of Data Visualization
• Knowledge of Presentation Skills
• Knowledge of SharePoint or MS-Office 365
• Knowledge of Project implementation and Management
• Ability to influence others to modify behaviors and support data quality improvement
• Strong communication and conflict resolution skills to help reconcile the different points of view and requirements that clash during cross team and cross-organization efforts
• Knowledge to exposure to data quality concepts, best practices and tools
• Knowledge to understand how data is used within business processes and its impact

Language Requirement:

• English: Good command in written and spoken