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Tenth Revolution Group is seeking an experienced Assistant Manager, Data to help shape its enterprise data architecture, governance framework and information management capabilities. You will work across business and technology teams to build trusted, scalable data assets for operations, reporting, analytics and AI readiness.
You will collaborate with stakeholders to establish data standards, improve data quality and governance practices, and support data platforms adoption across the group.
We are representing a well-established organisation undergoing continued digital and technology transformation and are looking for an experienced Assistant Manager, Data to support the development of its enterprise data architecture, data governance framework and information management capabilities.
This is an opportunity for someone with a strong foundation in enterprise data architecture, data governance, analytics and data platforms, who can work across business and technology teams to build trusted, scalable and reusable data assets that support business operations, reporting, analytics and future AI adoption.
The successful candidate will play an important role in shaping the organisation's enterprise data landscape, ensuring that business data requirements and analytics priorities are aligned with its wider technology and data strategy.
Acting as a key link between local business stakeholders and the wider group technology function, you will help establish consistent data standards, strengthen data quality and governance practices, and improve the organisation's readiness for advanced analytics and AI initiatives.
Support the development and maintenance of enterprise data architecture principles, standards, design patterns and governance frameworks.
Work closely with business and group technology teams to align local data requirements, analytics priorities and reporting needs with enterprise data strategies.
Help establish and mature data governance practices covering data ownership, stewardship, metadata, data lineage, quality management and lifecycle governance.
Improve data quality, consistency, accessibility and reusability to strengthen the organisation's analytics and reporting capabilities.
Support AI data readiness assessments, considering data quality, lineage, privacy, security, access controls and responsible AI practices.
Collaborate with business stakeholders, data owners, application teams, infrastructure teams and external vendors to develop secure and scalable data capabilities.
Define data integration, information flow and enterprise reporting architecture requirements.
Evaluate data platform technologies and enterprise data solutions to support evolving business needs.
Promote data literacy and awareness of data governance practices across the organisation.
Keep up to date with emerging trends in enterprise data management, analytics platforms and AI readiness.
Minimum 8 years of relevant IT experience, including at least 3 years in data governance, data architecture or technical leadership.
Degree in Computer Science, Information Systems, Data Science or a related discipline.
Strong understanding of enterprise data architecture, data modelling, data integration, data quality, metadata management and data governance practices.
Experience working with business data owners, application teams and technology delivery teams to establish data standards and governance controls.
Experience supporting analytics platforms, enterprise reporting, business intelligence or enterprise data platform initiatives.
Exposure to Microsoft Fabric, Azure Data Platform, Databricks, Data Lakehouse architecture, Power BI, Dataverse or equivalent enterprise data technologies would be advantageous.
Understanding of AI data readiness, AI governance, Responsible AI and enterprise data requirements for AI-enabled solutions.
Good written and spoken English and Chinese.
We are particularly interested in professionals who can bridge the gap between business data requirements, enterprise architecture and analytics capabilities.
The ideal candidate will bring a good balance of data architecture knowledge, governance experience and stakeholder management skills, with the ability to help build a trusted enterprise data foundation for future analytics and AI adoption.