Manager/ Assistant Manager, Data Management & Modeling (For Banking Industry)

About Us: From business process re-engineering to global business expansion for Japanese corporations, ABeam Consulting has served our clients through more than 40 years of growth. With our vision of being the No. 1 global consulting firm from Asia, ABeam Consulting helps our clients take on the challenge of business transformation. With 4,400 consultants in Japan, and 3,100 in overseas offices concentrated in Asia, our 7,500 consultants and global alliance partners provide truly comprehensive services. 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. Drive data quality improvement initiatives and support the resolution of data-related issues. Act as a bridge between business and technical teams, ensuring alignment of data solutions with business objectives. 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 analyse, validate, and reconcile large and complex datasets. Experience with data visualisation 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 analyse 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. Ability to independently produce and manage project deliverables, including Data Models, Data Dictionaries, Data Mapping Specifications, Business Requirement Documents (BRD), Functional Specification Documents (FSD), Data Quality Assessment Reports, Data Governance Documents, Business Glossaries, Data Flow Diagrams, Impact Assessment Documents, UAT Scenarios and Test Cases, Executive Reports, and Management Dashboards. Strong stakeholder management skills with the ability to engage effectively across Business, Operations, Risk, Compliance, and Technology teams. Excellent written and verbal communication skills in English, with the ability to present information effectively to both business and technical audiences. Hands-on and delivery-focused, with the ability to work independently, manage multiple priorities, and drive workstreams with minimal supervision. Strong ownership, accountability, attention to detail, and commitment to delivering high-qual…