FAQs
What is the primary responsibility of a Data and Model Governance Consultant?
The primary responsibility is to oversee the Data and Model Governance processes, ensuring the proper governance and use of data assets and models while collaborating with compliance professionals.
What educational background is preferred for this position?
A degree in Engineering, Math, or Statistics is preferred to connect theoretical knowledge related to data and models with a functional and business perspective.
Is any specific certification beneficial for this role?
Yes, a DAMA certification will be considered positively as it supports leading change management on data and model governance within the company.
What programming languages should candidates be familiar with?
Candidates should have knowledge of Python, R, SQL, or similar languages to support initiatives aimed at improving data and model governance as well as new data acquisition processes.
What skills are essential for this role?
Essential skills include the ability to create methodologies and roadmaps for data strategy implementation, work autonomously, and lead change management processes.
Is proficiency in English required for this position?
Yes, an advanced level of spoken and written English is required.
How does this role contribute to collaboration within the organization?
The role requires facilitating open collaboration with local and global stakeholders to achieve defined goals and give visibility to Data Model Governance milestones.
What values could set a candidate apart for this position?
Values such as proactivity, accountability, collaboration, curiosity, and bravery are considered differentiators for this role.
Will the consultant be involved in exploring new data sources?
Yes, the consultant will collaborate in the exploration and discovery of new data sources and opportunities to create value with data, in alignment with strategic priorities.
What is the role of the Data Committee in this position?
The consultant will be a member of the internal Data Committee, responsible for maintaining and implementing data policies and contributing to data governance efforts.