119 Data Management Roles jobs in Singapore

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The Director - Data Strategy & Data Architecture will report to the Head of Data Management Office and will be responsible for defining and executing the enterprise-wide data strategy, ensuring seamless integration between data lake and data marts to support business needs across APAC. This role requires deep collaboration with IT, business units, and regional offices, leading cross-functional teams to drive data governance, architecture, and analytics initiatives. The individual will play a critical role in embedding a data-driven culture, optimizing data infrastructure, and maximizing the value of data assets for strategic decision-making.

1. Define and implement the data strategy, ensuring alignment with global data governance frameworks and business objectives.
2. Partner with business stakeholders and technology teams to gather data requirements specific to banking products, transactions, customers, reporting and analytics.
3. Design scalable data architectures, enabling efficient data integration from multiple regional sources into a unified enterprise data lake.
4. Design and maintain logical and physical data models that reflect core banking operations, risk management, compliance, financial reporting / analytics needs.
5. Translate complex business use cases into normalized and de-normalized data structures optimized for both operational and analytical workloads.
6. Guide the implementation and evolution of data marts, data warehouses, and integration layers aligned with banking architecture.
7. Collaborate with development teams on physical data model deployment and performance optimization for large financial datasets.
8. Ensure data models adhere to data governance, data quality, and metadata management standards across banking domains.
9. Provide data architecture documentation, data dictionaries, and lineage diagrams for regulatory, audit, and business usage.
10. Support data lineage, metadata management, and data quality initiatives to enhance trust and transparency in data usage.
11. Contribute to data integration strategies to enable seamless access to core banking systems, regulatory systems, and analytical platforms.

1. Bachelor’s degree in Computer Science, Information Systems, Data Science, or a related field. Master’s degree preferred.
2. 15+ years of experience in data architecture, data modelling, or data management, preferably in the banking or financial services industry (must have).
3. Deep knowledge of data governance (DAMA-DMBOK), data modelling, and metadata management.
4. Deep expertise in logical and physical data modelling for core banking, risk, compliance, and financial reporting domains and various analytics use cases.
5. Proficient in data modelling tools (e.g., Erwin, PowerDesigner, or similar).
6. Advanced SQL skills and strong ability to work with large, complex financial datasets.
7. Solid understanding of relational and dimensional modelling, data warehousing, and data integration techniques.
8. Strong understanding of regulatory compliance in the APAC region.
9. Strong collaboration, communication, and documentation skills to engage with both business and technical stakeholders.
10. Work location:

• Director

• Full-time

• Information Technology

• Banking

Job Description

Big Data / Data Management Partner, also known as Business analytics or Business intelligence, is the use of sophisticated data mining and business analytics techniques to business data. The challenge is to identify and capture how to use the data to model and predict capabilities so the organization gets an optimal return on investment on its business resources, cost, and investments. To provide an organization with insights for effectively managing business performance so that business goals can be reached quickly and efficiently.

• Partnering with Senior Management/ Stakeholders from Business Group to provide deep expertise and advisory on data and analytics needs.
• Discover intrinsic natures of users from big data, and analyze user behavior as well as their customized needs to develop new data attributes of users from existing data source and develop novel applications including data-driven products based on that.
• Development, planning and implementation of Data strategies across the bank.
• Planning new initiatives based on data analysis and insight – allow the data to lead creative and steer programmes to constantly be optimized to exceed targets and KPIs.
• Business Lead on the Data Transformation Program to ensure business objectives and deliverables are aligned to business priorities on the Data Transformation Program to ensure end-to-end data coverage and identify potential cross-segment impact and/or potential capability reusable from another segment.
• Drive and lead new capabilities in the area of Big Data, Strategic Analytics and Advanced Self Service Business Intelligence across the Banking group.
• Develop data models/solutions to solve practical problems based on advanced statistical modeling, data mining, and machine learning methods.

Requirements

• Degree with at least 15 yrs. experience with MIS, Data Management, Analytics, etc.
• Retail Banking, Marketing and Product data and analytical knowledge highly desirable.
• Track record and in-depth knowledge of Business Intelligence and Big Data platforms.

To Apply:

Interested candidates may send their CV to Wai Leong at (Reg. no. R1103945 ) quoting the job title in the Subject line. We regret that only shortlisted candidates will be notified.

TikTok is the leading destination for short-form mobile video. Our mission is to inspire creativity and bring joy. TikTok has global offices including San Jose, Los Angeles, New York, London, Paris, Berlin, Dubai, Singapore, Jakarta, Seoul and Tokyo.

Why Join Us

Creation is the core of TikTok's purpose. Our platform is built to help imagination thrive. This is doubly true of the teams that make TikTok possible.

Together, we inspire creativity and bring joy - a mission we all believe in and aim towards achieving every day.

To us, every challenge, no matter how difficult, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always.

At TikTok, we create together and grow together. That's how we drive impact - for ourselves, our company, and the communities we serve.

Join us.

The Growth team plays a core role in acquisition, activation, and retention of billions of users, through our globally popular products such as TikTok, Lemon8, CapCut, etc. We are building platform foundations, leveraging data and ML models, and providing end-to-end solutions to power global growth of products.

You will:

- Design and apply machine learning algorithm and product strategies to user growth methods to expand product impact as well as improve users' experiences;

- Understand user growth instruments and use data and machine learning algorithms or other strategies to make it thrive;

- Responsible for target audience, automated material production, advertising automation optimization and other related algorithm strategies

- Conduct offline and online experiments, analyze according data and evaluate to improve algorithms and strategies;

- Work with product and DEs, DAs, and other engineers to deliver features to drive the user growth of products.

Qualifications

Minimum Qualifications

1. Excellent coding skills and solid data structure and algorithm skills, proficient in python / C++ and other development languages;

2. Familiar with common Machine Learning tools and Deep learning programming frameworks ( Tensorflow / PyTorch / Scikit-learn / XGBoost , etc.);

3. Relevant algorithm experience in search, recommendation, advertising and other related fields, user growth experience is better;

4. Excellent analytical and problem-solving skills, with a passion for solving challenging problems.

Preferred Qualifications

1. Passion for technology, good communication skills and team spirit

TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.

Assistant Vice President, Group Data Strategy & Monetization page is loadedAssistant Vice President, Group Data Strategy & Monetization Apply locations Singapore - Suntec Tower 4 time type Full time posted on Posted Today job requisition id R-0023265

About FWD Group

FWD Group is a pan-Asian life and health insurance business that serves approximately 30 million customers across 10 markets, including BRI Life in Indonesia. FWD’s customer-led and digitally enabled approach aims to deliver innovative propositions, easy-to-understand products and a simpler insurance experience. Established in 2013, the company operates in some of the fastest-growing insurance markets in the world with a vision of changing the way people feel about insurance.

For more information, please visit

PURPOSE

• To support the refreshed Digital Strategy focusing on GenAI, AI and Modern Data Platform, a senior data strategy and monetization leader is strongly needed to help enterprise-wide stakeholders make smarter business decisions, leveraging data and insights, fostering internal communication networks, and drive data & AI adoption and monetization.
• Lead the insights center of excellence (COE) and serve as a central resource to FWD all BUs. He/she utilizes the storytelling and leadership communication skills that are core to the role while adding capabilities to find insights in analytical and operational data as well as technical skills around Data Science & AI, Business Intelligence, and the modern data platform such as Data Mesh.
• Lead group data strategy and operation design and new data initiative planning to make FWD data strategy stay the leading edge in insurance industry
• Strong understanding of team’s processes to be the data champion for Group Data to drive the adoption of their data solutions, articulate the business benefit, get stronger buy-in from business stakeholders and provide strategy direction and business feedback.
• Drive group wide data literacy and transformation to embed AI everywhere along customer, distribution and employee journey

KEY ACCOUNTAIBILITIES

• Drive Smart Insurance Monetization to increase new VNB, improve customer experience and achieve operational excellence.
• Work with Group Strategy and BU to define VNB target for data monetization
• Drive Data Monetization execution by providing Subject Matter Expert recommendations
• Embed with stakeholder teams to understand where their business focuses are and why, what key decisions they make, how they make, and how data insights can seamlessly plug in to their business strategy as well as existing processes to maximize adoption of insights-driven decision-making.
• Observe and translate stakeholder data behaviors to technical teams (e.g., data engineering, data governance) to implement standards and processes that best fit existing ways of working
• Engage stakeholders to turn their business questions into testable hypotheses. Help prioritize needs and translate requirements for technology, analytics, and data science teams.
• Utilize AI and data visualization techniques to interpret and communicate complex data in a clear and accessible manner.
• Present insights to diverse teams inside and outside the organization applying data storytelling best practices and tailoring the message for the audience (e.g., leaders, line of business decision-makers, technical teams Get their buy-in and agree to implement.
• Produce statistics to measure product, process, and project outcomes, including benchmark metrics measuring communication processes. Conduct project debriefs, and ensure learning is incorporated for future projects and process improvement.
• Own, plan, and execute enterprise-wide data literacy and data storytelling education, serving users of different seniority, skill levels, and needs.
• Manage GO data strategy and operations

QUALIFICATIONS / EXPERIENCE

• Bachelors or Masters in Computer Science, MBA, Economics, Communications or related fields
• 15+ years of experience in a major financial or consultant organization, with large-scale data or similar program management experience.
• At least 5 years in a management role, with board level change or transformation leadership experience.
• Well versed with industry trends
• Advanced communications, marketing, or journalism experience.
• Good experience using business intelligence tools and data visualization best practices.
• With experience for data and AI monetization

KNOWLEDGE & TECHNICAL SKILLS

• Data strategy design in line with group overall strategic directions
• Data literacy concepts (able to explain descriptive, diagnostic, predictive, and prescriptive analytics as well as common use cases)
• Data Monetization Leadership skills
• Data storytelling best practices
• Data visualization best practices
• Content creation and knowledge management best practices
• Qualitative research methodologies
• Quantitative analytical methodologies
• Data storytelling methods and best practices
• Design thinking, creation of user stories
• Workshop facilitation
• Deep understanding on FWD BU’s business and their strategic directions, able to translate group-level data strategy to adopt to local’s situation
• Good communication skills, able to gain other’s trust and extract business insights from various angles and translate into effective user requirements for data team to process and develop

FWD Group is a pan-Asian life and health insurance business that serves approximately 30 million customers across 10 markets, including BRI Life in Indonesia.

FWD’s customer-led and digitally enabled approach aims to deliver innovative propositions, easy-to-understand products and a simpler insurance experience.

Established in 2013, the company operates in some of the fastest-growing insurance markets in the world with a vision of changing the way people feel about insurance .

The Global WM Credit Risk Product Organization is committed to transforming our operations, culture, and client (internal/external) experiences to create sustainable value and drive positive change. Through continuous improvement and a relentless focus on excellence, we aim to empower employees to drive change for our global teams. Our commitment to sustainability ensures that we create long-term value for our internal and external clients.

As a Vice President of Global Data Strategy and Governance in the Asset Wealth Management (AWM) team within Risk Management, you will be responsible for developing and implementing a comprehensive data strategy and governance framework across the global organization. You will ensure data is managed as a strategic asset, transforming credit risk into a data-driven organization, leveraging business and artificial intelligence to shape strategic data vision and strategy, while maintaining regulatory compliance.

• Develop and implement a global data approach and strategy aligned with organizational objectives.
• Collaborate with cross-line-of-business stakeholders to ensure conformity to the firm-wide data agenda.
• Influence senior leaders through data intelligence.
• Lead a cross-functional team responsible for data, reporting, insights, and analysis.
• Work closely with business units, IT, and other stakeholders to align data strategy.
• Set governance standards on data sourcing and use.
• Implement data management tools and technologies to support data strategy and governance.
• Demonstrate intellectual curiosity.

• 9+ years of experience in Data Science and Information Management within a corporate environment.
• Strategic and transformative thinking and planning skills.
• Knowledge of business and artificial intelligence, data analytics, and reporting tools.
• Strong analytical, problem-solving, and communication skills.
• Experience in project management and stakeholder relationship building.

This role may involve working with remote teams across different time zones and may require travel.

Role

• Partnering with Senior Management/ Stakeholders from Business Group to provide deep expertise and advisory on data and analytics needs.
• Discover intrinsic natures of users from big data, and analyze user behavior as well as their customized needs to develop new data attributes of users from existing data source and develop novel applications including data driven products based on that.
• Development, planning and implementation of Data strategies across the bank.
• Planning new initiatives based on data analysis and insight – allow the data to lead creative and steer programmes to constantly be optimised to exceed targets and KPIs.
• Business Lead on the Data Transformation Program to ensure business objectives and deliverables are aligned to business priorities on the Data Transformation Program to ensure end-to-end data coverage and identify potential cross segment impact and/or potential capability reusable from another segment.
• Drive and lead new capabilities in the area of Big Data, Strategic Analytics and Advanced Self Service Business Intelligence across the Banking group.
• Develop data models/solutions to solve practical problems based on advanced statistical modeling, data mining, and machine learning methods.

Requirements

• Degree with at least 10 yrs. experience with MIS, Data Management, Analytics, etc.
• Retail Banking, Marketing and Product data and analytical knowledge highly desirable.
• Track record and In-depth knowledge of Business Intelligence and Big Data platforms.

To Apply:

Interested candidates may send their CV to Wai Leong at (Reg. no. R1103945 ) quoting the job title in the Subject line.

Onsite, West

Bridge business operations and IT to enable data-driven decision-making and support the organization's data strategy. Lead data architecture initiatives while collaborating with global teams and corporate stakeholders.

• Collaborate with international teams to share best practices and global standards
• Interface with corporate areas and prepare technical documents, presentations, and reports
• Design and implement comprehensive data management strategies aligned with business goals
• Develop domain-oriented data architecture (DODA) structures around business domains
• Implement data governance policies and data quality control measures
• Develop and maintain enterprise data architecture solutions including data warehouses and data lakes
• Ensure data security and compliance with relevant regulations
• Create data models and strategies to organize and store data entities efficiently
• Assess existing databases and data architectures for weaknesses
• Develop data pipeline processes to move data from OLTP to OLAP systems

• Bachelor's degree in Computer Science, Information Technology, or relevant disciplines
• At least 13 years of experience in data architecture and technologies
• Proficiency in programming languages (Python, SQL, Java, C++)
• Deep understanding of database management systems and data modeling techniques
• Experience with Big Data technologies, cloud computing platforms, and data analytics tools
• Strong project management and time management abilities
• Excellent communication skills to collaborate with various stakeholders

• Experience with domain-oriented data architecture (DODA)
• Global or multi-regional project experience
• Data governance and compliance expertise
• Enterprise data warehouse and data lake implementation experience
• OLTP to OLAP data pipeline development experience

R22106435

This position bridge between business operations and IT, playing a crucial role in enabling data-driven decision-making and supporting the organization's overall data strategy.

(Project Leadership)

• Connect and collaborate with teams from other regions of the world to share best practices and global standards definitions.
• Interface with several corporate areas and preparation of technical documents, presentations, and reports.

(Data Architecture)

• Providing a high-level, abstract representation of an organization's data requirements
• Design and implement comprehensive data management strategies aligned with business goals
• Domain-oriented data architecture (DODA) structures data around business domains, enabling
• Implement data governance policies and data quality control measures
• Develop and maintain enterprise data architecture solutions, including data warehouses and data lakes
• Ensure data security and compliance with relevant regulations
• Create data models and strategies to organize and store data entities efficiently
• Assess existing databases and data architectures for weaknesses

• Bachelor's Degree in Computer Science, Information Technology or relevant disciplines
• At least 13 years of experience in data architect and technologies
• Proficiency in programming languages such as Python, SQL, Java, and C++
• Deep understanding of database management systems and data modeling techniques
• Experience with Big Data technologies, cloud computing platforms, and data analytics tools
• Strong project management and time management abilities
• Excellent communication skills to collaborate with various stakeholders
• Develop data pipeline processes to move data from OLTP to OLAP systems

Thanks,

Saghana Sithara

Join to apply for the Data Architect (VP/ED) - Data Architecture role at OCBC

1 week ago Be among the first 25 applicants

Join to apply for the Data Architect (VP/ED) - Data Architecture role at OCBC

Who We Are
As Singapore’s longest established bank, we have been dedicated to enabling individuals and businesses to achieve their aspirations since 1932. How? By taking the time to truly understand people. From there, we provide support, services, solutions, and career paths that meet their individual needs and desires.

Today, we’re on a journey of transformation. Leveraging technology and creativity to become a future-ready learning organisation. But for all that change, our strategic ambition is consistently clear and bold, which is to be Asia’s leading financial services partner for a sustainable future.

We invite you to build the bank of the future. Innovate the way we deliver financial services. Work in friendly, supportive teams. Build lasting value in your community. Help people grow their assets, business, and investments. Take your learning as far as you can. Or simply enjoy a vibrant, future-ready career.

Your Opportunity Starts Here.

Why Join
As a Data Architect at OCBC, you will be at the forefront of transforming the bank's data architecture, enabling large-scale machine learning and analytics use cases, and driving the bank's Digital Transformation. You will have the opportunity to work on a multi-year roadmap to modernize the OCBC data architecture, collaborating with business and technology leads, application architects, data science, and data engineering teams across the bank. This is a unique chance to make a significant impact on the bank's future and build a career as a Subject Matter Expert in data architecture.

How You Succeed
To succeed in this role, you will need to be a strategic thinker with a deep understanding of data architecture and its role in driving business outcomes. You will need to be able to collaborate with stakeholders across the group to ensure buy-in on strategic data initiatives and define data platform processes and best practices. You will also need to be a strong communicator and influencer, able to consult and influence digital application teams and provide training and share best practices across teams.

What You Do

• Contribute to the roadmap to transform data architecture focusing on scalability, performance, and flexibility
• Maintain data architecture framework, standards, and principles
• Contribute to reference architecture and architectural designs solution context diagram and conceptual data model
• Work closely with data engineering team, Business Analysts, and support the design aligning with the bank's data architecture standards and principles
• Consult and influence digital application teams regarding solutions
• Provide training and share best practices across teams regarding data architecture design and solution implementation
• Develop and apply industry best practice technology, design, and methodology approaches to design bank's data architecture

Who You Work With
The Data Architect role is part of the Data Architecture team in OCBC Group Operations and Technology (GO&T) division. You will work closely with data engineering teams, Business Analysts, digital application teams, and other stakeholders across the bank to enable large-scale machine learning and analytics use cases.

Who You Are
Bachelor’s degree in computer science or related discipline.
5-8 years of experience in designing and building high-performance data architectures
Experience in cloud-based data architecture and data governance is an advantage
Experience in designing data architectures that support real-time and batch use-cases
Knowledge of data governance principles and standards
Experience in implementing data governance and data quality standards
Experience in cloud-based data architecture and data governance
Familiarity with DevOps / DataOps / MLOps concepts
Strong experience with traditional data technologies (ODS, Data Lake, Data Warehouse, Data Lakehouse)
Experience in designing data patterns to support micro-service based application architecture
Knowledge of container-based big data architectures and Kubernetes
Experience with big data technologies (Hive, Pig, Impala, Spark)
Expertise in RDBMS (Teradata/Oracle, PostgreSQL, Vertica, etc), PL/SQL, data modeling & ETL/ELT
Excellent communication skills and ability to communicate complex technical concepts to non-technical stakeholders
Ability to collaborate with business and technology stakeholders to deliver technology solutions that enable tangible business benefits
TOGAF/DAMA certification is an advantage

What We Offer
Competitive base salary. A suite of holistic, flexible benefits to suit every lifestyle. Community initiatives. Industry-leading learning and professional development opportunities. Your wellbeing, growth and aspirations are every bit as cared for as the needs of our customers.