Define action plan to support IT strategy through sound planning, established methods and resourcing to deliver projects within agreed timelines.
Manage enterprise data availability with timely resolution of issues and problems
Define and govern best practices for data modeling, data design standards, naming conventions and testing practices to ensure consistency of data models
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If you have expertise in data architecture and a passion for driving impactful change in the banking industry, we want to hear from you. Join our client's team and be part of shaping the future of banking.
With key expertise in equity broking, investment banking, treasury and many others, our client is the largest investment bank in Malaysia with more than 50 years of experience in the market.
Job Description
Lead the overall data architecture and ecosystem design and solution to be developed over the coming years.
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Lead the overall data architecture and ecosystem design and solution to be developed over the coming years.
Responsible to understand the existing enterprise data asset and create enterprise data governance and strategy to substantiate the implementation roadmap in multiple stages and priorities to enable data access, business intelligence and advanced analytics.
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Assist in designing and implementing data architectures, including databases, data warehouses, and data pipes. Create and analyze various data necessary for monthly regular reports such as Profit, Exposure etc.
Modify and develop Dashboards to analyze data by combining various data sources to provide in-depth and effective understanding of Transaction Banking progress and trends.
Develop and maintain data models, data dictionaries, and metadata repositories. Conduct data profiling and quality assessments to identify data anomalies and inconsistencies. Support the implementation of data governance and security policies. Automate process and workflows for monthly report creation
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EY’s Data & Analytics Consulting professionals bring a wealth of experience in working with major financial institutions to align their operating model and infrastructure to their business’ strategic objectives. We assemble the right multi-disciplinary teams, use consistent and proven global methodologies and tools, and draw on the full breadth of EY’s global network, to deliver value and trusted advice to the clients. The key service offerings cover finance function transformation, customer and distribution effectiveness, operations, shared services / outsourcing support, performance management, program advisory, enterprise intelligence, risk management and regulatory change.
Your Key Responsibilities
As markets rapidly change and develop, finance functions must demonstrate real added value to their business. As a finance advisor, you’ll use your experience and knowledge to help deliver greater insight – delivering functional efficiencies as well as transforming the role of finance in our clients’ businesses. You’ll be developing innovative, sustainable ways to improve the management of people, processes and systems, working alongside other finance professionals in high-performing teams.
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Developing and implementing an overall organizational data strategy that is in line with business processes for the APAC regions. The strategy includes data model designs, database development standards, implementation and management of data warehouses and data analytics systems
Identifying data sources, both internal and external, and working out a plan for data management that is aligned with organisational data strategy
Coordinating and collaborating with cross-functional teams, stakeholders, and vendors for the smooth functioning of the enterprise data system
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Develop and maintain data models, data dictionaries, and metadata repositories. Conduct data profiling and quality assessments to identify data anomalies and inconsistencies. Support the implementation of data governance and security policies. Automate process and workflows for monthly report creation
Enhance GTMP dashboard contents in collaboration with DBM team, Planning team and Tokyo team.
Ensuring discovery, consolidation, and distribution of data from internal and external sources for meaningful business insights to pursue
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Developing and implementing an overall organizational data management in line with WOG Data Standards and Data Strategy, including data model designs, database development standards, implementationand management of data storage (e.g. lakes, warehouses) and data analytics systems
Identifying data sources requirements, both internal and external to design the end-to-end data architecture
Developing the meta-data to testing and implementing the proposed data management flow and solution
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