- Islandwide (Singapore) Singapore

工作地点
职位描述
岗位职责
Manager/ Assistant Manager, Data Management & Modeling (for Banking Industry)
Job type- Permanent with Client
Responsibilities:
· Lead data modelling and data management activities to support enterprise data transformation and customer data management initiatives.
· Develop and maintain conceptual, logical, and physical data models aligned with business and technology requirements.
· Collaborate with business stakeholders and technology teams to gather, analyze, and document business, functional, and data requirements.
· Translate business requirements into scalable data structures, data models, mappings, and data design specifications.
· Lead the design and enhancement of Enterprise Data Warehouse (DWH) and Data Platform solutions.
· Define data standards, governance practices, and data management frameworks to ensure consistency, accuracy, and quality across systems.
· Perform data analysis, data profiling, lineage assessment, and impact analysis to support transformation initiatives.
· Design and manage source-to-target mappings, data integration requirements, and data migration activities.
· Support project planning, stakeholder engagement, and cross-functional coordination for data-related workstreams.
· Prepare and maintain project artefacts, including business requirement documents, data dictionaries, data models, mapping specifications, process flows, and governance documentation.
· Provide guidance and recommendations on data architecture, modelling strategy, and best practices.
· Ensure successful delivery of data solutions through implementation, testing, and post-deployment support.
· Work independently while managing multiple stakeholders, priorities, and deliverables in a fast-paced project environment.
Requirements:
· Bachelor’s degree in Business, Finance, Information Technology, or a related discipline, with experience supporting regional or global transformation initiatives.
· Minimum 3 years of experience in Data Management, Data Analysis, and Data Modelling, preferably within banking, financial services, or other highly regulated industries.
· Hands-on experience in Data Governance, including Data Quality Management, Data Ownership, Data Stewardship, Data Standards, and Data Lineage.
· Strong business analysis capabilities, including requirements gathering, gap analysis, impact assessment, process analysis, and UAT support.
· Advanced SQL expertise with the ability to analyze, validate, and reconcile large and complex datasets.
· Experience with data visualization and reporting tools such as Power BI and/or Tableau.
· Strong understanding of Data Warehousing, Master Data Management (MDM), Data Mapping, Data Profiling, and Data Discovery.
· Proven ability to analyze complex data structures, business processes, and end-to-end data flows across multiple systems.
· Experience designing conceptual, logical, and physical data models and translating business requirements into scalable data solutions.
· Strong stakeholder management skills with the ability to engage effectively across Business, Operations, Risk, Compliance, and Technology teams.
· Hands-on and delivery-focused, with the ability to work independently, manage multiple priorities, and drive workstreams with minimal supervision.
· Excellent analytical, problem-solving, documentation, and presentation skills.
· Familiarity with Python, Oracle, SQL Server, MySQL, JIRA, Confluence, Visio, and Agile/Scrum methodologies will be an added advantage.
· Strong communication skills, with the ability to engage and influence stakeholders at all levels.
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