Senior Data/Information Managers - 20068
Huy Tran
HR Administrator
Required Skills
Job Overview
Role Summary
Experienced Senior Data/Information Managers are needed to support a large-scale enterprise transformation from traditional data management practices to AI-ready Data Management. The assignment focuses on strengthening organization-wide data management capabilities so that data is governed, trusted, understood and structured to support AI, advanced analytics and future digital capabilities.
The role bridges strategic Data Management objectives and practical implementation. You will work with business areas and cross-functional stakeholders to establish sustainable frameworks, principles, standards and ways of working, while helping teams adopt new approaches and build long-term capability.
Key Responsibilities
- Develop and implement enterprise Data Management frameworks, principles, standards and operating models.
- Translate strategic Data and Information Management objectives into practical implementation plans, adoption activities and measurable improvements.
- Develop and govern enterprise data and information models, including conceptual models, business glossaries, taxonomies and ontologies.
- Establish semantic models and context layers that align business concepts, metadata and technical data structures.
- Improve data discoverability, interoperability, consistency and reuse across business processes, analytics and AI solutions.
- Identify gaps in existing Data Management practices and define concrete improvements.
- Facilitate collaboration between business, IT, architecture, data and AI teams.
- Support knowledge sharing, coaching and capability development to establish sustainable Data Management practices across the organization.
Technical Stack & Requirements
- Strong expertise in Data Governance, including data ownership and enterprise governance practices.
- Hands-on experience with Data Quality, Master Data Management and Metadata Management.
- Strong background in Information Architecture and enterprise data and information modelling.
- Knowledge of conceptual data modelling, semantic modelling, business glossaries, taxonomies, ontologies and context layers.
- Understanding of AI-ready Data Management and the data governance, quality, metadata and architecture capabilities required to support AI and advanced analytics.
Qualifications & Experience
You hold a Bachelor's or Master's degree in Information Management, Data Management, Computer Science, Information Systems, Engineering, or a related discipline. A minimum of 7 years of professional experience in Data Management, Information Management, Data Governance or a related field is required, including at least 5 years supporting or leading enterprise-level data and information management transformation in complex organizations.
An advanced degree or relevant professional certification in Data Management, Data Governance, Enterprise Architecture, Information Architecture, AI or data-related disciplines is advantageous. The ideal consultant combines a strong technical understanding with a pragmatic transformation mindset and can clearly communicate complex data and information concepts to both technical and non-technical stakeholders.