226 Data Modeling jobs in Singapore

Contract Duration - 12 months

Working hours: Normal Office hours

Working Location - Changi Business Park

Responsibilities

• Performing Customer Data Management in SAP
• Drive process improvements and system efficiency enhancements
• Being an active part of,

o  Processing Customer Data within SAP - MDG following set standards and

procedures and within established Service Level Agreements (SLAs)

o  Troubleshooting, and resolving any discrepancies in Customer Master

information between source systems and the Hub

o  Actively engaging with Cross Functional Business, and IT teams to resolve

Customer Data Management issues

o  Generating Reports and Quality Metrics

Requirements

• Diploma/Degree in Business Administration/Statistics or any discipline
• Min 1 year of experience in managing cross-functional internal customers, with specific experience in utilizing various information management tools
• Have strong analytical skills with ability to learn new technical and non technical processes
• Working knowledge of PowerBI, Tableau, or RPA
• Research or Data Management experience is an advantage
• Added advantage would be if you had hands-on experiences using SAP

Interested candidates, please click on the following link to begin your job search journey and submit your curriculum vitae (CV) directly through the official PERSOL job application platform -

PERSOL Singapore Pte Ltd 
• RCB No E 
• EA License No. 01C4394
• Registration No. R MayThinKyu)

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As Singapore's first institute for lifelong learning, the Singapore University of Social Sciences (SUSS) champions inclusivity to bring education to all and ensure that they are given equal opportunities to develop to their fullest potential in our diverse learning environment. We advocate for the same for our people. We believe everyone should have equal opportunities and develop to their fullest potential in their careers. Embark on an exciting lifelong journey with us in making a positive difference in your career and serving our society. For more information on Singapore University of Social Sciences, please visit

The Manager, Data Management, is responsible for ensuring the quality, integrity, and consistency of metadata across the university's data warehouse and other operational systems. This role involves collaborating with various stakeholders to establish and implement metadata standards, support data governance initiatives and provide training to end-users. Additionally, the Manager will assist in managing data protection and ensuring compliance with the Personal Data Protection Act (PDPA). The Manager will also serve as a primary point of contact for external data inquiries and requests as well as, coordinating with government agencies.

Key Responsibilities

• Metadata Management: Maintain and update metadata across all data systems to ensure consistency, integrity, and quality.
• Standard Implementation: Work with departments to define and enforce metadata standards and best practices.
• Data Governance Support: Contribute to data governance initiatives, supporting the development and enforcement of policies and procedures.
• Data Protection and PDPA Compliance: Assist in managing data protection practices to comply with PDPA regulations, ensuring sensitive data is handled securely and responsibly.
• Stakeholder Collaboration: Serve as the primary contact for external data requests and inquiries, managing relationships with regulatory entities.
• Training and Support: Provide guidance and training to end-users on data management practices, promoting adherence to governance standards.
• Data Quality Assurance: Oversee data quality monitoring processes, identifying and resolving data integrity issues across the university's data systems.

• Bachelor's degree in Information Management, Data Science, Business, or a related field.
• Minimum 2 years of experience in data management, metadata management, or related fields.
• Strong understanding of data governance, metadata standards, and quality assurance principles.
• Proficiency in data governance tools, metadata management solutions, and data quality software.
• Excellent communication skills for stakeholder management and cross-functional collaboration.

At SUSS, we advocate the Spirit of Learning and pride ourselves as lifelong learners. You will gain access to various learning platforms and plenty of development opportunities to support your growth in a meaningful career

Besides that, you will also get:

• Competitive Pay Package
• Hybrid Work Arrangement (Subject to Job Role)
• Medical Benefits
• Flex Benefits
• Family Care Leaves
• Volunteer Service Leaves
• Wellness & Recreation Activities
• Lifelong Learning Opportunities
• Career Development Opportunities through Internal Job Postings and Transfers

• Support Wave 2 (APAC) project from a data conversion perspective.
• Responsible for helping the regions extract and transform their legacy data into Workday EIBs- as well as reviewing data for general conformity and alignment to Workday configuration.
• Play a role in data validation as well

Data Management

• Develop and improve data reports
• Maintain accurate alumni engagement data (including by not limited event participation, CET, volunteerism) by working with other departments.
• Fulfil ad hoc data requests within specified deadlines, and update alumni LinkedIn profiles and notable alumni lists,
• Work with the team lead and senior executive on recruitment, training, and supervision of student helpers for Blackbaud CRM data updates.

Data & IT Project Management

• Collaborate with units to improve alumni-related IT services.
• Co-lead and coordinate data/IT projects, and manage technical aspects of the alumni portal. Work with internal and external stakeholders.

Operations & Coordination

• Guide and partner with the senior executive in ensuring CRM data accuracy and managing CRM access requests.
• Support data audits and ensure compliance with data privacy policies.
• Maintain and update standard operating procedures (SOPs)

Requirements:

• Bachelor's Degree in Information Systems/Technology, Data Analytics or other related fields.
• Advanced-level knowledge of Microsoft applications e.g. Excel, Word, PowerPoint.
• Knowledge and skills in data visualizations
• Familiarity with the Personal Data Protection Act (PDPA), data privacy and governance policies.
• Minimum 4-5 years' experience in data and database management, or customer or membership-type platforms/app or IT related-projects
• Experience in managing others e.g. junior staff will be advantageous.

Interested candidates, please email your resume to

Anna See Sing Yee

CEI Reg R

Recruit Express Pte Ltd

EA License No: 99C4599

We regret that only shortlisted candidates will be contacted

We are seeking a seasoned professional to fill the role of Data Management Lead. This position will be responsible for managing and overseeing all aspects of data management, ensuring that our company's data is accurate, reliable, and secure.

The ideal candidate will have a strong background in data management, with experience in implementing and maintaining data systems, processes, and policies. They will be able to analyze complex data sets, identify trends and patterns, and develop strategies to improve data quality and reduce errors.

This role requires excellent communication and interpersonal skills, as well as the ability to work effectively in a team environment. The successful candidate will be able to collaborate with cross-functional teams, including IT, business stakeholders, and other departments, to ensure seamless data management across the organization.

In addition to their technical expertise, the Data Management Lead will also be responsible for developing and implementing data governance policies and procedures, ensuring compliance with relevant laws and regulations, and identifying areas for process improvement.

• Develop and implement data management strategies and plans
• Analyze and interpret complex data sets to identify trends and patterns
• Develop and maintain data systems, processes, and policies
• Collaborate with cross-functional teams to ensure seamless data management
• Develop and implement data governance policies and procedures

• 8-10 years of experience in data management or a related field
• Strong analytical and problem-solving skills
• Excellent communication and interpersonal skills
• Ability to work effectively in a team environment

Airwallex (airwallex.com ) is a rapidly growing fintech unicorn, founded in 2015 and now flourishing at the Series E financing stage. With a global footprint across Asia-Pacific, Europe, North America, and APAC, we specialize in providing diverse financial payment solutions for B2B merchants, empowering businesses to operate seamlessly anywhere, anytime.

As a global team, we span across Australia, China, USA, and Singapore, revolutionizing applied data science, data engineering and platform solutions to support Airwallex's rapid growth. You will collaborate with a diverse range of cross-functional partners, including Product, Engineering, Marketing, Sales, Finance, and more, to tackle complex data problems and shape the future of fintech.

Part 1. Data Modeling

• Design and implement robust and scalable data models that support business intelligence, machine learning, and operational needs.
• Possess a deep understanding of data schemas and be able to select appropriate schema designs (e.g., star schema, snowflake, normalized vs denormalized) based on use cases.
• Collaborate closely with business teams to translate their data needs into clean, structured, and well-documented models.
• Understand and promote the concept of SSOT (Single Source of Truth) throughout the data layers and pipelines.
• Maintain data consistency, traceability, and quality across multiple data sources and domains.

Part 2. ETL and Data Pipeline Management

• Experience building and maintaining both batch and streaming ETL pipelines, with a strong understanding of end-to-end data workflow — from data ingestion to transformation and delivery.
• Able to work closely with Data Platform Engineers (DPEs) and Product Managers (PMs) to quickly identify root causes of data issues and provide efficient, scalable solutions.
• Bonus if you’ve worked with data across distributed or multi-datacenter systems, including solving challenges related to data migration, duplication, and consistency.

Part 3. Data Governance

• Participate in and contribute to data governance strategies, policies, and standards.
• Be familiar with any of the six key pillars of traditional data governance (e.g., data quality, data stewardship, metadata management, master data management, data privacy/security, data lifecycle).

Part 4. Data + AI

• We hope you have a basic understanding of AI and enjoy thinking about how data engineering and AI can work together in practical and creative ways.

These four areas are the main focuses of the DE team. Ideally, you should be strong in at least one of them — especially data modeling or data ETL. If you also have experience or skills in the other areas, that would be a big plus.

We're looking for people who meet the minimum qualifications for this role. The preferred qualifications are great to have, but are not mandatory.

• Bachelor’s degree in Computer Science, Information Systems, Finance, Maths or a related field. A master's degree is a plus.
• At least 2 years of data engineering related experience.
• Proficiency in SQL, database management systems (e.g., MySQL, PostgreSQL, Oracle), and data warehousing solutions.
• Familiarity with Google Cloud Platform (GCP), specifically BigQuery and Airflow.
• Excellent problem-solving skills, with a keen attention to detail and a commitment to producing high-quality work.
• Strong communication and collaboration skills, with the ability to work effectively in a fast-paced, team-oriented environment.
• Outstanding verbal communication skills for effective interaction with overseas teams.

• Experience with financial industries, payment systems, or fintech platforms.
• Knowledge of data governance practices and regulatory requirements in the financial industry.
• Experience with scripting languages (e.g., Python, R) for data analysis and automation.
• Certification in data management or related technologies is a plus.

At Airwallex, you can make an impact in a rapidly growing, global fintech. We want you to share in our success, which is why you’ll be offered a competitive salary plus valuable equity within Airwallex. We also like to ensure we create the best environment for our people by providing collaborative open office space with a fully stocked kitchen. We organise regular team-building events and we give our people the freedom to be creative.

Senior Data Management Professional - Data Engineering - Company Financials Markets, Singapore

Location

Singapore

Business Area

Data

Ref #

Bloomberg runs on data. Our products are fueled by powerful information. We combine data and context to paint the whole picture for our clients, around the clock – from around the world. In Data, we are responsible for delivering this data, news and analytics through innovative technology - quickly and accurately. We apply problem-solving skills to identify innovative workflow efficiencies, and we implement technology solutions to enhance our systems, products and processes.

The Company Financials team provides our clients with fast and accurate market-moving data so they can stay on top of their game: broker estimates, financial filings, and any other dataset that is useful to understand financial performance in the markets. Our products run on intelligence and industry-specific insights provided by the industry teams. We combine financial modeling, industry expertise, data management, and technical skills to curate critical metrics and drive insights from our data.

We are dedicated to crafting a best-in-class financial analysis and modeling product while constantly looking to enhance and expand our existing offering through a deep understanding of the markets we operate in, the sectors we cover, and our clients current and future needs.

What's the role?

The Company Financials Markets team is looking for a Senior Data Management Professional who can combine deep subject matter expertise and advanced technical skills to own and develop data-driven strategies and workflows around exchanges and 3rd party data providers. You are expected to take advantage of these knowledge and skills to drive workflow strategies, deliver best-in-class user and technical workflows and better incorporate humans in the automation pipelines that eventually help shape and build fit-for-purpose Company Financials products. Coupled with good communication and stakeholder management skills, you will also be working very closely with partners across PD&T, including Product Managers, Engineering teams as well as other Company Financials Industries and Cross-function teams to meet the needs of our external and internal clients.

We'll trust you to:

• Develop data-driven strategies, balancing the best of Technical, Product, Financial and Market knowledge, and work with our engineering and product departments to craft solutions
• Own the reliable and efficient workflows around the exchanges and 3rd party data providers such as document acquisition and structured/unstructured contents processing, utilizing programming, machine learning and/or human-in-the-loop approaches.
• Analyze workflows to identify critical observability checkpoints to ensure delivery of the fit-for-purpose data on market basis; design and build efficient, maintainable and scalable solutions to facilitate monitoring, reporting and alerting across markets.
• Analyze market specific workstreams to identify opportunities for improvement and/or consolidation by leveraging technical knowledge of Bloomberg's proprietary or open-source stacks.
• Communicate and collaborate across team members and complementary teams including Engineering, Product, and Bloomberg Intelligence
• Develop interconnected data models that enable analysis across datasets and develop statistical analysis.

You'll need to have:

• A bachelor's degree or above in Statistics, Computer Science, Quantitative Finance, or other STEM related field or degree-equivalent qualifications
• Minimum 4+ years of experience in the financial/fintech services industry, including exchanges, market data providers or financial technology institutions, and/or a data engineering role or related fields such data quality, data modeling, or data architecture
• Experience working with Python in development or production environment
• Experience implementing high volume, low-latency ETL pipelines and proven track record of managing data lifecycle
• Familiarity with various databases, schemas, modeling, as well as structured and unstructured formats (PDF, HTML, XBRL, JSON, CSV etc.)
• Strong project management skills and ability to prioritize and adapt to tasks accordingly with a customer focused mentality
• Powerful collaboration skills to work across departments and regions, excellent written and verbal communication skills
• Demonstrated continuous career growth within an organization
• Excellent written and verbal communication skills in English

We would love to see:

• Advanced degree/Master's degree in a Finance or STEM subject and/or CFA designation (or working towards it)
• Experience in Bloomberg Company Financials products especially with specific market/exchange, Bloomberg Terminal fluency, and/or Bloomberg Data Workflows
• Familiarity with use cases of advanced statistical methods such as Machine Learning, Artificial Intelligence, and Natural language Processing
• Experience designing optimal database structures

If This Sounds Like You:

Apply today We'll reach out to discuss the next steps

Bloomberg is committed to improving the communities, cities and countries in which we work, and we support various initiatives including hiring and developing local talent. So, we may prioritise candidates with legal authorisation to work full-time in Singapore for this role, who do not require Bloomberg to sponsor their work authorization.

About the Role

We are looking for an experienced HR professional to lead a data management team and ensure smooth, accurate, and timely HR processes. This role involves overseeing HR data operations, improving processes, and partnering with various stakeholders to drive efficiency and enhance employee experience.

Key Responsibilities

• Lead and manage the HR data management team.
• Ensure SLAs and KPIs are consistently met and continuously improved.
• Act as a subject matter expert for HR data management processes and compliance.
• Collaborate with cross-functional teams, HRIS, and business partners to deliver seamless services.
• Review and streamline work processes to improve efficiency and employee experience.
• Support additional HR-related projects as assigned.

Requirements

• Minimum 3 years of HR experience, including at least 1 year in a supervisory role.
• Experience in payroll administration (healthcare sector experience is an advantage).
• Proficient in HR systems (SAP SuccessFactors) and MS Office (Excel & Word).
• Strong analytical skills with a keen eye for detail.
• Independent, proactive, and a strong problem-solver.
• Team player who thrives in a dynamic and fast-paced environment.

HOW TO APPLY:

Interested applicants, please send in your resume by clicking "Apply Now".

By submitting an application or your resume, you are deemed to have consented to Dynamic Human Capital Pte Ltd collecting, using and disclosing your personal data for the purposes stated in our privacy notice ). You acknowledge that you have read, understood, and agree with the terms in our privacy notice.

We regret to inform that only shortlisted candidates will be notified. All applications will be treated with the strictest confidence.

Joyce Ng

Dynamic Human Capital Pte Ltd

EA Personnel No: R

EA License No: 12C6253

Company Profile

MIZUHO BANK LTD IS THE BANKING SUBSIDIARY OF MIZUHO FINANCIAL GROUP OF JAPAN, ONE OF THE WORLD'S LARGEST FINANCIAL SERVICE PROVIDERS.

IN 1974, ONE OF MIZUHO'S LEGACY BANK COMMENCED ITS BRANCH OPERATION IN SINGAPORE AND FOR OVER 40 YEARS, WE HAVE A PRESENCE IN SINGAPORE. MIZUHO BANK SINGAPORE BRANCH HOLDS A FULL BANK LICENSE AND PROVIDES BANKING SERVICES TO MORE THAN 2,000 JAPANESE AND NON-JAPANESE CUSTOMERS, OPERATING WITH STAFF STRENGTH OF MORE THAN 700 IN SINGAPORE. ITS PRINCIPAL BUSINESS ENCOMPASSES CORPORATE FINANCE, TRADE FINANCE, CASH MANAGEMENT, FUNDS TRANSFERS, PROJECT FINANCE AND TREASURY. IT ALSO COLLABORATES WITH ITS AFFILIATE COMPANY, MIZUHO SECURITIES, TO PROVIDE INVESTMENT BANKING SOLUTIONS TO ITS CUSTOMERS.

SINGAPORE BRANCH ALSO SERVES AS A REGIONAL OFFICE FOR BANK'S APAC OPERATIONS.

WE ARE SEEKING A HANDS-ON AND PROCESS-ORIENTED DATA MANAGEMENT & GOVERNANCE SPECIALIST TO OPERATIONALIZE OUR REGIONAL DATA STRATEGY.

Job Responsibilities

Data Governance Operationalization:

• Implementation & Rollout: Support development, drive effective implementation and enforcement of Data Governance framework, policies.
• Process Management: Manage the operational processes for Data Quality issue management lifecycle.
• Forum Facilitation: Facilitate and organize Data Governance forums and cross-functional working groups to resolve issues, review data quality metrics, and drive adoption.
• Training & Support: Develop training materials and provide guidance Data Stewards, Data Custodians across the region.

Data Model & Architecture Stewardship:

• Model Custodianship: Act as a primary custodian of the Enterprise Data Model, ensuring that all changes are documented, standards are adhered to, and the model remains the single source of truth for data structures.
• Standards Enforcement: Work closely with Data Architects and engineering teams to conduct reviews, ensuring the logical and physical data models are aligned.
• Metadata Curation: Oversee the process of defining critical data elements, metadata, data catalog and business glossary.

Data Analysis & Mapping Process Management:

• Process Oversight: Manage the end-to-end process for creating, reviewing, and approving Source-to-Target Mapping (STM) documents. Ensure the process is efficient and timelines are met.
• Quality Gatekeeper: Act as a critical review point for all data mappings, performing quality checks for completeness, clarity, and adherence to standards before they are passed to the engineering teams.
• Liaison & Coordination: Act as a key liaison between the Data Analysts, business SMEs to automate reporting requirements, data analytics eliminating data copies.

Job Requirements

Required:

• Bachelor's degree in a relevant field (e.g., Information Management, Business, Finance, Technology).
• 10+ years of experience in the data management field within the Banking and Financial Services industry.
• Significant hands-on experience in implementing and managing processes within at least two of the following areas: Data Governance, Data Modelling, or Data Analysis & Mapping.
• Strong understanding of banking data domains (e.g., Wholesale Banking, Treasury, Risk Management) and their associated data challenges.

Desired/Preferred:

• Direct experience participating in a large-scale data migration or business transformation project.
• Experience working with data governance and cataloging tools (e.g., Collibra, Alation, Azure Purview).
• Good understanding of modern data architectures (Data Lakehouse, Medallion Architecture) and platforms (Databricks, Azure).
• Certification in Data Management (e.g., DAMA)

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