We’re looking for a candidate to fill this position in an exciting company.
Enable Data Governance framework including managing the objectives, approach, processes, policies and procedures around data governance
Build robust and scalable data governance ecosystem to support needs from internal and external users, regulators and compliance requirement
Define data governance operational processes (e.g., data quality measurement, metadata management) in accordance with policies and standards, clearly articulating roles and responsibilities
Provide expert consultation to business units and legal/privacy/Information security teams to establish and maintain data policies and standards that enable use-cases and ensure regulatory compliance
Provide expert consultation to assist business units in identify and setup of critical data elements including the setup of business glossary, lineage, data catalogue and data quality
Work collaboratively & consultatively with group data governance, business units, Group IT to deliver enterprise objectives around data governance
Identify, design, and implement internal process & framework improvements: automating manual operational processes and control for data governance implementation
Responsible for reviewing and recommending any Data Sharing requests from the business units to the Group Data Governance Committee
Support and contribute to development of guidelines and standards for data classification, data security, privacy with Risk, Compliance and Regulatory functions
Think strategically by proposing business metrics / alternative approaches to measure data governance value
Accountable for preparing and publishing Data Governance & quality metrics and KPI dashboards
Engage in Change Management processes for enterprise wide change initiatives and projects to ensure that Data Governance Framework and Standards are implemented in Change Initiatives
Collaborate with the relevant parties to ensure the correct processes, people, and technology are in place in order to support the data governance framework
Work with Group IT, data scientist and business analytics team to assist in data governance related issues and proved effective solution
Bachelor’s degree in IT, Computer Science, Software Engineering, Data/Business Analytics or equivalent.
Minimum 10 years of experience in data governance setup and implementation
Experience in operating under Group Data Office organization
Expert in consulting and helping business to develop data quality business rules, data catalogue, business glossary
Ability to develop, implement & optimize complex data governance solution and issues.
Deep understanding of explicit metadata management approaches and systems
Implementation of technology-driven governance framework and approach with much of the work delivered via automation
Expert in data standards implementation (with practical business, operational constraints)
Design and implement a comprehensive data governance roadmap and operating model
End to end implementation & Operationalization of data standard, policy and process (including detailed functionalities, templates, matrixes, dashboards, controls etc.) in the data governance domain, such as:
Critical Data Elements
Metadata and Lineage
Data Protection and Access
Data Sharing & valuation
Data exploration and analytics
Reference & Master Data
Data maturity assessment methodology
Highly organized, self-motivated, pro-active, and able to strategize
Ability to analyze and understand complex problems
Ability to explain technical information in business terms
Ability to communicate clearly and effectively, both verbally and in writing
Strong in Operational excellence, User Requirements Gathering, Maintenance and Support
Good experience managing business expectations and vendors.
Project management and delivery, Change governance, Audit.
Certification in industry standard data architecture discipline or similar (e.g. DCAM, DAMA)
Experience in Telco Data ecosystem, data model, Data Lake.
Experience in Data, Privacy, Protection implementations & operationalization.
Experience in Big Data and associated platform / technology knowledge.
Data encryption, security governance techniques and methodology
Data migration methodology and controls (on premise and could environment)