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Senior Manager, Data Governance

Date: 31-Dec-2020

Location: Singapore, Singapore

Company: Singtel

Role Summary

This role is accountable to establish, develop, expand and optimize Data Governance Framework, Policy, Process & associated business solutions implementations under Singtel Group Data Office.

  • Integrate and inter-operate data governance, data management frameworks and solutions together with IT and Business as per best industry practice
  • Support business units in data monetization journey with data governance
  • Evaluate and implement data governance business solutions to ensure their relevance and effectiveness in supporting business requirement
  • Drive development, adoption and optimization to improve overall data governance policy, processes and standards
  • Provide expert consultation to business units and implement data governance policy, processes and standards
  • Review, analyze, benchmark and approve business solution design from product companies, internal teams and vendors and lead implementation of data governance standards
  • Ensure that proposed solutions are aligned and conformed to the data landscape, roadmap and ToM (Target Operating Model)

 

Key Responsibilities

  • 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 solutions

 

Experience

  • Bachelor’s degree in IT, Computer Science, Software Engineering, Data, Business Analytics or equivalent.
  • Minimum 10 years of experience in data or corporate governance setup and operationalization
  • 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
  • Certification in industry standard data architecture discipline or similar (e.g. DCAM, DAMA)