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Data Governance Specialist
2 months ago
Job Title: AI/ML Data Supervisor
Location: Hybrid working - The VHQ Crawley
Contract: Permanent
Closing Date: Not specified
About the RoleWe are seeking an experienced professional to lead our data governance efforts and shape the future of data and AI at Virgin Atlantic. As the AI/ML Data Supervisor, you will be responsible for developing and maintaining our enterprise data governance framework, ensuring the accuracy, integrity, and security of our data assets.
You will work closely with engineering teams to integrate our Enterprise Knowledge Graph with business systems and data platforms, defining and managing personas, roles, and policies to implement robust controls that meet the highest standards.
As a leader in fostering a strong data governance culture, you will establish workshops and training sessions to enhance understanding and adherence to governance practices across the organisation, ensuring everyone is aligned with our core objectives.
You will also work closely with the Data Protection Office, internal audit, and information security teams to develop and enforce policies related to Responsible AI, ensuring our use of AI is innovative, ethical, and compliant with regulations.
Key Responsibilities- Design and implement a comprehensive data governance framework to ensure data accuracy, integrity, and security.
- Develop and enforce data governance policies and procedures.
- Collaborate with teams to define data governance requirements and standards.
- Lead efforts to identify and resolve data quality issues.
- Establish and maintain a data catalog and metadata management system.
- Drive the development and implementation of AI governance principles and practices.
- Provide guidance and support to business and technical teams on data and AI governance matters.
We are looking for an experienced professional with a strong background in data governance and AI governance in a large organisation. You should have extensive understanding of data governance frameworks, principles, and effective approaches, as well as experience with data quality management and metadata management.
You should also have knowledge of data protection regulations and be able to provide guidance and support to business and technical teams on data and AI governance matters.
