406 Data Structures jobs in Singapore

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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

Overview

1. Lead DXU team to support Chief Data Officer (CDO) and drive data strategy, manage its data assets and facilitate data exploitation.
2. Responsible to review and update data-related policies in compliance with MOH and NHG policies on data governance and management.
3. Oversee the management of Platform for one-stop request to facilitate data requests.

• Support and work closely with the Chief Data Officer (CDO) to develop and implement Data Strategy to enable data exploitation for meaningful and insightful decision making.
• Develop, review and update data-related policies to ensure alignment with Ministry of Health’s (MOH) and National Healthcare Group’s (NHG) data policies (e.g., MOH’s HealthTech Instruction Manual - Data Management (HIM-DM) and NHG Data Access & Sharing Policy).
• Oversee the management and maintenance of Platform for one-stop request to facilitate data requests. Put in place protocol that complies with relevant data access, sharing, and security policies.
• Serve as a point-of-contact to liaise with other NHG institutions’ DXOs and external parties for data request as well as to contribute to NHG’s analytics and digitalization effort.
• Develop and implement proper data assets management standard operating procedures and workflows across the Data Life Cycle from data acquisition, fusion, access and distribution to disposal (e.g. tracking and maintaining registries of data access, monitoring of data handling and disposal processes).
• Collaborate with relevant departments/units to build staff literacy, competency, capabilities, and knowledge in safe, efficient, and effective data exploitation and management on various platforms such as Oracle OBIEE/OAS, SharePoint, NGEMR, etc.
• Oversee the secretariat support for departmental and hospital working committees to support digital transformation agenda and build communities of practice to share knowledge and best practices (e.g. Data Management Working Committee (DMWC) and Artificial Intelligence and Data Analytics (AiDA) Digital Innovation Technologies (DIT) committee).
• Lead change management, engagements, and communications with different levels of stakeholders, on issues pertaining to data management, data sharing, and data exploitation.

• Degree in Computing in Information Systems, Information Management or Management Information Systems or related fields
• At least 5 years of relevant working experience in business data management and governance with experience in developing data strategy as a strong advantage.
• Experience in handling compliance reviews or overseeing data management / IT systems is preferred.
• Experience in data analytics is an added advantage.
• Possess strong data and technological knowledge, covering recent topics such as data governance, data policies and data domains.
• Familiarity with public healthcare operations with working knowledge of data management, handling, and governance, and the regulatory requirements pertaining to the usage and sharing of data will be an added advantage.

Interested candidates who wish to apply for the advertised position, please click on “Apply”. We regret that only shortlisted candidates will be notified.

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• Mid-Senior level

• Full-time

• Information Technology

• Information Services, Hospitals and Health Care, and Public Health

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)

information_technology

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:

• Collaborate with business stakeholders and technology teams to gather and analyze data requirements related to banking products, transactions, customers, and reporting.
• Design and maintain logical and physical data models for core banking, risk management, compliance, and financial reporting.
• Translate complex business use cases into normalized and de-normalized data structures optimized for both operational and analytical workloads.
• Implement and evolve data marts, data warehouses, and data integration layers aligned with the client's data architecture.
• Work with development teams to deploy physical data models and optimize performance for large financial datasets.
• Ensure all data models comply with data governance, quality, and metadata management standards.
• Produce data documentation, including data dictionaries and lineage diagrams, for business, audit, and regulatory use.
• Support initiatives related to data lineage, metadata management, and data quality to enhance data trust and transparency.
• Provide business support with the ability to identify and highlight IT issues when necessary.
• Create and maintain reports and communicate effectively with both technical and business stakeholders.

Requirements:

• Bachelor's degree in Computer Science, Information Systems, Data Science, or a related field.
• Min. 7–10 years of experience in data architecture, data modelling, or data management in the banking or financial services industry.
• Deep expertise in logical and physical data modelling, particularly for core banking, risk, compliance, and analytics use cases.
• Strong skills in data modelling tools such as Erwin, PowerDesigner, or similar.
• Advanced SQL skills with experience handling large, complex financial datasets.
• Solid understanding of relational and dimensional modelling, data warehousing, and integration techniques.
• Familiarity with data governance frameworks like DAMA-DMBOK.
• Intermediate understanding of APAC regulatory compliance.
• Excellent communication, collaboration, and documentation skills.
• Ability to create clear reports and work well in a team setting.
• Experience with the American data management platform Collibra (non-development role) is a plus.
• Good communication skills in both writing and spoken to communicate effectively with the stakeholders and clients.

Why Join Us

At ABeam Consulting, we place a strong emphasis on collaboration, and helping our employees grow and develop their skills, offering a supportive and empowering work environment. With a presence in multiple countries and a diverse range of clients, ABeam Consulting offers an exciting and dynamic workplace for individuals looking to build a career in consulting. ABeam Consulting has also recently joined SAP's regional strategic partner initiative as their first regional partner in the region and has also been recognized by UiPath as a Diamond Partner in providing RPA solutions. With such accolades, we aim to continue driving enterprise and digital transformation initiatives in order to transform the way people work and communicate in the digital age. In addition, our industry team is working tirelessly in order to bring more solutions to the banking and finance sector.

We regret only shortlisted candidates will be notified.

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