IT Solutions Architect - Data & Information Architecture
Quick Summary
The Lead Domain Architect, Enterprise Data & Information Architecture,
The Lead Domain Architect, Enterprise Data & Information Architecture, is a senior role within Group IT Architecture responsible for establishing and evolving Great Eastern’s enterprise data and information architecture foundation across Singapore, Malaysia, Indonesia, and other GE entities. The role will define target-state architecture, principles, standards, and guardrails for enterprise data, information models, data flows, data platforms, data integration, metadata, lineage, data quality, access control, privacy, and governance-by-design. It will help address data fragmentation, inconsistent definitions, duplicated data flows, unclear authoritative sources, and architectural debt across the enterprise technology landscape. Working closely with business stakeholders, Group Data, application teams, platform teams, Security, Risk, Compliance, and delivery teams, the role will translate business, regulatory, data governance, and technology needs into practical architecture direction and implementable solution patterns. This role is also expected to provide architecture leadership and coaching to solution architects, engineers, and delivery teams, helping to uplift data architecture maturity across Group IT. The successful candidate will play a key role in enabling trusted enterprise data for business operations, analytics, regulatory needs, digital platforms, and scalable AI adoption.
- Define and evolve enterprise data and information architecture across Great Eastern entities, aligned with business strategy, enterprise architecture direction, regulatory expectations, and technology modernisation priorities. •
- Establish enterprise-level data domain models, conceptual and logical information models, canonical data patterns, and common data definitions for key business entities.
- Define principles and architecture guardrails for authoritative sources, golden records, data ownership, data lifecycle, data sharing, and enterprise data reuse.
- Identify and address structural data architecture issues, including fragmented data stores, duplicated data flows, inconsistent definitions, unclear system-of-record ownership, and architectural debt. Data Platform, Integration & Flow Architecture
- Define target-state architecture and transition roadmaps for enterprise data platforms, data warehouses, data lakes/lakehouses, operational data stores, analytics platforms, and data services.
- Establish architecture patterns for batch, real-time, streaming, API-based, and event-driven data integration.
- Guide the design of data pipelines, data products, data services, and data consumption patterns to ensure scalability, resilience, security, reusability, and operational efficiency.
Partner with application, integration, cloud, infrastructure, security, and delivery teams to ensure data architecture is embedded consistently across solution designs.
Support the establishment of trusted, governed, and reusable enterprise data assets for reporting, analytics, operational decisioning, and AI adoption.
Serve as a key member of the Architecture Review Board for data and information architecture matters.
- Have strong experience in enterprise data architecture, information architecture, data management, or similar senior architecture roles within complex enterprise environments.
- Have a proven ability to define target-state data architecture, information models, architecture principles, standards, reusable patterns, and transition roadmaps.
- Understand how to structure enterprise data domains, business entities, canonical data models, authoritative sources, golden records, data ownership, and data lifecycle principles.
- Have practical experience with modern data platforms and patterns, including data warehouses, data lakes/lakehouses, operational data stores, data integration, streaming, APIs, event-driven architecture, data products, and analytics platforms.
- Understand governance-by-design concepts, including metadata, lineage, data quality, data classification, access control, privacy, retention, auditability, and observability.
- Can translate business, regulatory, risk, security, and data governance requirements into practical architecture standards, platform controls, and solution design patterns.
- Have experience reviewing and guiding major technology initiatives involving data platforms, data integration, reporting, analytics, regulatory data, operational data, or enterprise data services.
- Are able to identify structural data issues such as duplication, inconsistent definitions, unclear system-of-record ownership, unmanaged data flows, poor lineage, weak data quality controls, and architectural debt.
- Can work effectively with business stakeholders, Group Data, application teams, platform teams, Security, Risk, Compliance, and delivery teams to drive alignment and practical outcomes.
- Have strong communication, stakeholder management, influencing, and facilitation skills, with the ability to explain complex data architecture issues to both technical and non-technical audiences.
- Are able to provide leadership, coaching, and mentoring to architects, engineers, and delivery teams to uplift data architecture capability.
- Have strong analytical thinking, problem-solving capability, ownership mindset, and willingness to drive change in a complex enterprise environment.
- Have a bachelor’s degree in Computer Science, Information Systems, Data Engineering, Data Management, or a related field, or equivalent practical experience.
- Have working knowledge of enterprise architecture frameworks, data management frameworks, or industry practices such as TOGAF, DAMA-DMBOK, DCAM, or equivalent. Have experience in insurance, banking, or financial services, which would be an advantage
- Champion and embody our Core Values in everyday tasks and interactions.
- Demonstrate high level of integrity and accountability.
- Take initiative to drive improvements and embrace change.
- Take accountability of business and regulatory compliance risks, implementing measures to mitigate them effectively.
- Keep abreast with industry trends, regulatory compliance, and emerging threats and technologies to understand and highlight potential concerns/ risks to safeguard our company proactively.
Founded in 1908, Great Eastern is a well-established market leader and trusted brand in Singapore and Malaysia. With over S$100 billion in assets and more than 16 million policyholders, including 12.5 million from government schemes, it provides insurance solutions to customers through three successful distribution channels – a tied agency force, bancassurance, and financial advisory firm Great Eastern Financial Advisers. The Group also operates in Indonesia and Brunei. The Great Eastern Life Assurance Company Limited and Great Eastern General Insurance Limited have been assigned the financial strength and counterparty credit ratings of "AA-" by S&P Global Ratings since 2010, one of the highest among Asian life insurance companies. Great Eastern's asset management subsidiary, Lion Global Investors Limited, is one of the leading asset management companies in Southeast Asia. Great Eastern is a subsidiary of OCBC, the longest established Singapore bank, formed in 1932. It is the second largest financial services group in Southeast Asia by assets and one of the world’s most highly-rated banks, with an Aa1 rating from Moody’s and AA- by both Fitch and S&P. Recognised for its financial strength and stability, OCBC is consistently ranked among the World’s Top 50 Safest Banks by Global Finance and has been named Best Managed Bank in Singapore by The Asian Banker.
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About this job
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Listing Details
- First seen
- November 10, 2026
- Last seen
- November 10, 2026
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- Trust Level
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- Scored at
- November 10, 2026
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