Manager/ Assistant Manager- Data Management & Modelling (Banking)

SNAPFIND TALENT SOLUTIONS PTE. LTD.; Singapore; On-site; SGD 90,000 - 150,000; Full time

Job summary

SNAPFIND TALENT SOLUTIONS PTE. LTD. seeks a Manager/Assistant Manager, Data Management & Modeling for the banking sector to lead data modelling and data management initiatives.

This permanent role partners with business and technology teams to design data models and enterprise data platforms, while ensuring governance and data quality across systems. You will collaborate on requirements, drive data migrations and mappings, and guide data architecture and best practices to deliver timely,

Qualifications

• Bachelor’s degree with experience in transformation initiatives.
• Minimum 3 years in Data Management, Analysis, and Modelling in banking or regulated industries.
• Hands-on Data Governance including Quality, Ownership, Stewardship, Standards and Lineage.
• Strong business analysis: requirements, gap analysis, impact, and UAT support.
• Advanced SQL to analyze and reconcile large datasets.
• Experience with Power BI or Tableau for data visualization.
• Knowledge of Data Warehousing, MDM, Data Mapping, Profiling, and Discovery.
• Translate business requirements into scalable data solutions.
• Strong stakeholder management across Business, Operations, Risk, Compliance and Technology.
• Delivery-focused, able to work independently with minimal supervision.
• Excellent analytical, problem-solving, documentation and presentation skills.
• Familiarity with Python, Oracle, SQL Server, MySQL, JIRA, Confluence, Visio; Agile/Scrum is a plus.
• Strong communication to engage stakeholders at all levels.

Responsibilities

• Lead data modelling and data management activities.
• Develop conceptual, logical and physical data models.
• Collaborate with stakeholders to gather and document requirements.
• Translate requirements into scalable data structures and mappings.
• Lead design/enhancement of Enterprise Data Warehouse and Data Platform.
• Define data standards, governance and quality across systems.
• Perform profiling, lineage assessment and impact analysis.
• Design/manage source-to-target mappings and data migration.
• Support project planning and cross-functional coordination.
• Prepare Business Requirement Documents, data dictionaries and governance artefacts.
• Provide guidance on data architecture and modelling best practices.
• Ensure delivery through testing and post-deployment support.
• Work independently across multiple stakeholders in a fast-paced environment.

Skills

Data modelling

Data management

Data governance

Data quality

Stakeholder management

SQL

Power BI

Tableau

Python basics

Education

Bachelor's degree in IT/Business/Finance

Tools

Oracle

SQL Server

MySQL

JIRA

Confluence

Visio

Job description

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.