Mars is looking to solve the problem of ensuring data quality, completeness, and accuracy within the Quality & Food Safety functional domain
Requirements
- Implemented and leveraged Artificial Intelligence (AI) technologies
- Data quality and integrity experience
- Quality & Food Safety experience
- Experience with data governance policies and standards
- Experience with data management processes
- Experience with digital programs (i.e. Connected Quality, Supply Chain Data Analytics/Predictive Quality, data access, data cleansing, systems harmonization)
- Experience with data analytics and performance measurements
Responsibilities
- Creates data quality standards to ensure accuracy and completeness of information, while ensuring that timely delivery of evaluation. Supports compilation, analysis, and distribution of time-sensitive Quality reports
- Drives large-scale data quality projects with both regional and global impact, to both improve Data Quality and data in line with Mars’ governance policies
- Ensures data quality completeness, and accuracy within the Q&FS functional domain
- Applies Data Governance policies and standards in day-to-day business operations
- Collaborates with Data Owners and CDO office to improve data management processes
- Contribute to shaping the digital Q&FS strategy and support key digital programs (i.e. Connected Quality, Supply Chain Data Analytics/Predictive Quality, data access, data cleansing, systems harmonization)
- Analyze data trends from a global lens and provide insight to Global/Regional Quality groups
Other
- Bachelor's degree in supply chain, Technology or related field
- Led change management initiatives
- Work with diverse and talented Associates, all guided by the Five Principles
- Join a purpose driven company, where we’re striving to build the world we want tomorrow, today
- Best-in-class learning and development support from day one, including access to our in-house Mars University
