Head of Data Governance
Location: Hanoi

*Responsibilities:

Design and recruit proper data governance organization
Develop data governance body ("Data Council") recommendation
Define roles and responsibilities of data owner, custodian and stewards and make the working
relationship into reality through required cadences
Consolidate all data governance related initiatives and make proper transition done
Participate in Data Council to provide guidelines/recommendations on business requirements, practice and compliance
Tech platform: Select, onboard and implement a Data Governance platform that will be used by the enterprise as a repository of definitions, catalog’s, terms, lineage, ownership, metadata etc.; this includes architecture and tools
Business data requirements and use cases
Define data structures and domains including data dictionary and glossary (taxonomy)
Identify the key data required to run the business and identify the key issues
Establish requirements for the collection, delivery and use of data and associated systems
Communicates importance of data management and understanding of data information needs,
objectives, and direction to appropriate stakeholders

Develops Standards, Policy drafts, and Practices to guide data information collection and
management including data quality and accessibility; develop KQIs and monitor them
Ensure consistent compliance with standards and tools
Measures and manages data risk, establishing data archiving strategies
Responsible for strategic and tactical planning, focusing on solutions for current and future business
data practice problems
Data security: work closely with CIO/IT to ensure institutional level of security is in place

*Requirements:

Expertise in data management, data quality, data security and data stewardship
Proficiency in data governance solutions (cataloging, lineage, MDM)
and Data Integration (e.g., Data Factory, Talend, Informatica)
Extensive background of project and program delivery in data related environments
Experience and desire to work in an Agile process (pair programming, daily standups, etc.)
Seniority: Mid-Senior level
Minimum 15 years of relevant work experience in data management preferably in banking and/or financial institutions, of
which a minimum of 5 years in a leadership role
Executive-level experience at driving business and technology change in a data
management role
Excellent relationship management skills at multiple levels of the organization